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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1623117</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Targeting the epigenome and tumor heterogeneity: advances in immunotherapy for chemoresistant metastatic colorectal cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Cao</surname><given-names>Yu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Beeraka</surname><given-names>Narasimha M.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Efetov</surname><given-names>Sergey K.</given-names></name>
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<name><surname>Liu</surname><given-names>Zheng</given-names></name>
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<name><surname>Otabekov</surname><given-names>Akmalbek A.</given-names></name>
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<name><surname>Basappa</surname><given-names>Basappa</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<name><surname>Wang</surname><given-names>Wensheng</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Ma</surname><given-names>Dan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)</institution>, <city>Moscow</city>,&#xa0;<country country="check-value">Russia</country></aff>
<aff id="aff2"><label>2</label><institution>Department of General Surgery, Xinqiao Hospital of Army Medical University</institution>, <city>Chongqing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Balaji College of Pharmacy, Anantapuramu</institution>, <city>Andhra Pradesh</city>,&#xa0;<country country="in">India</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Colorectal Surgery, Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, University of Mysore</institution>, <city>Mysore</city>, <state>Karnataka</state>,&#xa0;<country country="in">India</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Dan Ma, <email xlink:href="mailto:Drmadan1973@hotmail.com">Drmadan1973@hotmail.com</email>; Wensheng Wang, <email xlink:href="mailto:happywwsh@163.com">happywwsh@163.com</email></corresp>
<fn fn-type="other" id="fn003">
<label>&#x2020;</label>
<p>ORCID: Yu Cao, <uri xlink:href="https://orcid.org/0000-0002-9682-0980">orcid.org/0000-0002-9682-0980</uri>; Narasimha M. Beeraka, <uri xlink:href="https://orcid.org/0000-0001-6879-7835">orcid.org/0000-0001-6879-7835</uri>; Sergey K. Efetov, <uri xlink:href="https://orcid.org/0000-0003-0283-2217">orcid.org/0000-0003-0283-2217</uri>; Zheng Liu, <uri xlink:href="https://orcid.org/0000-0002-8831-0761">orcid.org/0000-0002-8831-0761</uri>; Akmalbek A. Otabekov, <uri xlink:href="https://orcid.org/0000-0001-8052-3001">orcid.org/0000-0001-8052-3001</uri>; Basappa Basappa, <uri xlink:href="https://orcid.org/0000-0002-8844-468X">orcid.org/0000-0002-8844-468X</uri>; Wensheng Wang, <uri xlink:href="https://orcid.org/0000-0003-2100-0803">orcid.org/0000-0003-2100-0803</uri></p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-01">
<day>01</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1623117</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>05</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Cao, Beeraka, Efetov, Liu, Otabekov, Basappa, Wang and Ma.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Cao, Beeraka, Efetov, Liu, Otabekov, Basappa, Wang and Ma</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-01">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Mitochondria are pivotal organelles that regulate oxidative phosphorylation (OXPHOS). Although microsatellite-stable colorectal cancer represents the majority of CRC cases, the functional aspects of mitochondrial DNA copy number alterations in its progression remains poorly explored. The aim of this review is to explore the mitochondrial mutations associated with CRC and metastatic chemoresistant CRC, alongside mitoepigenetic mechanisms involved in tumor progression and resistance to therapy, with ultimate goal of identifying novel therapeutic strategies. We explored several key areas of mitochondrial biology in CRC (1) mtDNA mutations and cancer metastasis: Understanding how specific mutations in mtDNA drive metastasis in CRC, and their potential role as prognostic markers or therapeutic targets. (2) Mitochondrial copy number variations (CNVs) in CRC (3) Mitochondrial genome and CRC risk revealing links between inherited and somatic mtDNA mutations with CRC susceptibility. (4) ND gene mutations in CRC. (5) Mitoepigenetics in CRC: We highlight how epigenetic dysregulation contributes to CRC progression and chemoresistance. (5) clinical epigenetics in CRC: We described into the role of histone-modifying enzymes, such as EZH2, EP300/CBP, and PRMTs, as drivers of colorectal tumorigenesis by altering transcriptional programs involved in cell proliferation and metastasis. In parallel, this review emphasizes the promising advances in epigenetic-targeted therapies. The dysregulation of epigenetic machinery in cancer offers unique opportunities for therapeutic intervention. Histone acetyltransferases (HATs) like EP300/CBP, histone methyltransferases (HMTs) such as EZH2, and protein arginine methyltransferases (PRMTs) are emerging as critical players in CRC, making them attractive therapeutic targets. The development of selective inhibitors for these epigenetic writers, readers, and erasers, including novel compounds targeting specific protein domains, holds the potential to mitigate tumor growth and overcome resistance mechanisms. Ultimately, the goal is to develop effective synthetic drug scaffolds as immunotherapy treatments for mutation-driven metastatic CRC through pharmacological modeling, combined with targeted chemical inhibitors of CRC-causing epigenetic protein through genome-editing techniques, offering hope for overcoming chemoresistance and improving survival outcomes. Emerging preclinical/clinical insights into mitochondrial dynamics, m<sup>6</sup>A-mediated transcript regulation, and immune&#x2013;metabolic signaling in chemoresistant colorectal cancer highlight the translational potential for designing rational synthetic drug scaffolds that modulate validated molecular targets, paving the way for next-generation precision therapeutics.</p>
</abstract>
<kwd-group>
<kwd>chemoresistance</kwd>
<kwd>chemoresistant colorectal cancer</kwd>
<kwd>mitochondria</kwd>
<kwd>mitoepigenetics</kwd>
<kwd>mitochondrial mutations</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that no financial support was received for the research and/or publication of this article.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="287"/>
<page-count count="28"/>
<word-count count="15557"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Chemoresistant cancers are difficult to treat using chemotherapy due to the stemness-causing factors include SOX2, Oct4, ERCC1, Pg-P, ALDH1, etc., to foster drug efflux and drug resistance (<xref ref-type="bibr" rid="B1">1</xref>). This stemness is leading to phenotypic cancer stem cells and forms a distinct subpopulation with substantial self-renewing capacity across tumor microenvironment (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>) which enhance the tumor progression (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). CRC is reported as 3<sup>rd</sup> most commonly diagnosed cancer in men or women in United States, highlighting its profound public health impact (<xref ref-type="bibr" rid="B2">2</xref>). Approximately 35% of CRC risk is due to genetic inheritance (<xref ref-type="bibr" rid="B2">2</xref>). Genome-wide association studies (GWAS) have identified fifty genetic loci linked to an increased risk of CRC. These studies primarily highlight common variants located within the nuclear genome (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). But these identified loci account for only a small portion of the disease&#x2019;s heritability, suggesting that additional genetic contributors remain undiscovered. More than seven decades ago, Otto Warburg described a hallmark metabolic alteration in cancer cells: despite the availability of sufficient oxygen for mitochondrial respiration, cancer cells acquire a higher glucose uptake and depends on the glycolysis for energy generation (<xref ref-type="bibr" rid="B8">8</xref>). This metabolic shift was indicative of a fundamental defect in mitochondrial respiration, which he hypothesized to be a primary cause of cancer (<xref ref-type="bibr" rid="B9">9</xref>). This metabolic reprogramming, now termed the Warburg effect, has been observed across numerous cancer types, including CRC, where enhanced glucose transport and glycolytic activity are frequently observed (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Human mtDNA is a circular, double-stranded and comprising 16,569 base pairs, with 10^3 to 10^4 copies present per cell. It encodes 37 genes, including two rRNA genes, 22 tRNA genes as well as thirteen protein-coding genes; these mitochondrial genes are crucial for oxidative phosphorylation (OXPHOS) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>) and involved to foster the function of respiratory chain complexes: complex I (ND1, ND2, ND3, ND4, ND4L, ND5, ND6), complex III (cytochrome b), complex IV (COXI, COXII, COXIII), and complex V (ATPase6 and ATPase8) (<xref ref-type="bibr" rid="B15">15</xref>). Additionally, mtDNA contains a non-coding displacement loop (D-loop) region, crucial for regulating mtDNA replication and transcription (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Variations within mtDNA, such as mitochondrial single nucleotide polymorphisms (mtSNPs), can profoundly affect mitochondrial function by altering the efficiency of OXPHOS and cause a higher ROS generation, which subsequently elevates the risk of cancer development (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>). However, studies exploring mtDNA variants and CRC risk have yielded inconsistent results. For example, a Scottish study analyzing 132 mtSNPs in a cohort of 2,854 CRC patients and 2,822 controls described the absence of association between these variants and overall risk of acquisition of CRC (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B24">24</xref>). At present, there is a lack of comprehensive research examining the relationship between mtDNA variations and CRC susceptibility across diverse racial and ethnic groups. A more focused, pathway-based methodology could potentially reveal novel connections between the mitochondrial genome and cancer risk. This approach would facilitate a more efficient analysis of variants that may have subtle effects on CRC susceptibility. Additionally, integrating multi-omics data and advanced bioinformatics tools could enhance our understanding of how mtDNA variations contribute to chemoresistant metastatic CRC pathogenesis, potentially leading to the discovery of new biomarkers and therapeutic targets. This review focuses on several key aspects of mtDNA in CRC. It explores how specific mtDNA mutations drive metastasis in CRC and their potential as prognostic markers or therapeutic targets. Additionally, it examines mitochondrial copy number variations (CNVs) and their implications for CRC. The review also highlights the connection between inherited and somatic mtDNA mutations with CRC susceptibility, particularly mutations in ND genes. Furthermore, it discusses how epigenetic dysregulation, referred to as mitoepigenetics, contributes to CRC progression and chemoresistance, emphasizing the role of epigenetic proteins in these processes.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Literature search</title>
<p>We conducted a vivid literature review, drawing from a variety of reputable databases such as PubMed, Medline, Scopus, Google Scholar, National Library of Medicine (NLM), and ReleMed. Our analysis centered on evaluating published studies and reports that explore the role of mtDNA in colorectal cancer, with a particular emphasis on the D-loop region and its significance in metastasis. Additionally, we described the relationship between mutations in mtDNA and alterations in OXPHOS, which contribute to cancer growth and development of chemoresistance in colorectal cancer. The review also covered topics including the role of ROS, mitochondrial mutations in colorectal cancer progression, and the development of therapies targeting these mutations to address chemoresistance in metastatic colorectal cancers.</p>
<sec id="s2_1">
<label>2.1</label>
<title>Metabolic plasticity and subtype-specific bioenergetics in CRC</title>
<p>Rather than relying exclusively on mitochondrial OXPHOS, CRC cells exhibit considerable metabolic plasticity and adopt distinct bioenergetic programs depending on their consensus molecular subtype (CMS), microenvironmental context, and therapeutic pressure. For example, bulk and single&#x2010;cell transcriptomic analyses show that some CMS2 and CMS3 tumors which are often characterized by canonical/WNT or metabolic signatures which can show glycolytic dominance, whereas others may rely more heavily on OXPHOS and fatty acid oxidation (<xref ref-type="bibr" rid="B25">25</xref>). Similarly, recent single-cell metabolomics and spatial transcriptomics of CRC liver metastases demonstrate that highly metastatic sub-populations show elevated TCA cycle and OXPHOS activity, but this does <italic>not</italic> imply that all CRCs are OXPHOS-addicted (<xref ref-type="bibr" rid="B26">26</xref>). Hence, CRC can rely on OXPHOS under certain conditions, but also frequently engages glycolysis, fatty acid oxidation, and hybrid metabolic phenotypes &#x2013; and these dependencies are subtype- and context-dependent (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Germline susceptibility and somatic evolution: distinct drivers of mtDNA-linked metastatic progression in CRC</title>
<p>The clear distinction between germline susceptibility and somatic tumor evolution underpins many key differences in cancer biology, prognosis, and therapy. Germline variants, such as inherited defects in DNA mismatch repair genes or predisposition syndromes, impart systemic genomic instability and elevate lifetime cancer risk; these variants are present in every cell of the body and often affect early oncogenesis and familial clustering (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). In contrast, somatic evolution describes the dynamic process by which cancer cells acquire driver mutations, epigenetic reprogramming, metabolic rewiring and microenvironmental adaptations during tumour progression, metastasis, and treatment resistance (<xref ref-type="bibr" rid="B30">30</xref>). Importantly, while germline predisposition may influence which somatic events emerge or the rate at which they accumulate, the two are distinct in their temporal onset, functional implications, and therapeutic relevance. For instance, somatic metabolic adaptations such as mtDNA changes, altered oxidative phosphorylation or glycolytic switching are acquired during tumour evolution rather than inherited, and thus have different prognostic and therapeutic implications than germline variants.</p>
<p>In line with this conceptual framework, the causative role attributed to mtDNA alterations and metastatic progression requires a more careful, nuanced presentation. Recent comprehensive analyses of CRC somatic mtDNA mutation patterns demonstrate that while increased mtDNA copy number promotes oxidative phosphorylation and correlates with a more aggressive phenotype in microsatellite-stable CRC, the link remains largely associative rather than definitively causal (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Moreover, evolutionary studies of somatic mtDNA in CRC show that many of the variants are under relaxed or neutral selection, and do not directly map to mitochondrial biogenesis or metabolic rewiring in a straightforward causal manner (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Accordingly, we adjusted our revised manuscript to reflect that mtDNA alterations may mark sub-clonal selection or adaptive metabolic responses during therapy resistance or metastasis, rather than representing initiating events. This framing better aligns with current evidence and avoids overstating causality while preserving the potential clinical relevance of mitochondrial genome adaptation in CRC biology.</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Molecular evolution and mutation-driven adaptation in chemoresistant colorectal cancer</title>
<p>Recent integrative genomic frameworks such as <bold>DiffInvex</bold> have illuminated how selective pressures imposed by chemotherapy dynamically reshape the somatic mutational landscape across cancer types (<xref ref-type="bibr" rid="B32">32</xref>). By leveraging an empirical baseline mutation rate derived from non-coding DNA, DiffInvex identifies shifts in positive and negative selection acting on individual genes, providing a powerful lens for understanding adaptive resistance in metastatic colorectal cancer (mCRC). Application of this model to over 11,000 tumor genomes across ~30 cancer types revealed that chemotherapeutic exposure can induce treatment-associated selection in genes including PIK3CA, APC, MAP2K4, SMAD4, STK11, and MAP3K1, each of which contributes to critical signaling networks governing tumor survival, EMT, and immune evasion. These findings describe that mutational evolution under drug stress fosters clonal diversification and heterogeneity, key hallmarks of chemoresistant tumor phenotypes (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>In mCRC, actionable genomic alterations such as HER2 amplification, BRAF V600E mutation, NTRK fusions, and MSI-H status have revolutionized therapeutic precision (<xref ref-type="bibr" rid="B33">33</xref>). However, the majority of CRC-associated mutations remain &#x201c;undruggable,&#x201d; and patients often develop adaptive resistance through secondary mutations or compensatory pathway activation. Recent evidence implicates GNAS mutations as potential molecular predictors of aggressive disease behavior and therapeutic refractoriness, highlighting their diagnostic and prognostic significance (<xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>Moreover, the RNF43 gene exhibits pronounced mutational intratumoral heterogeneity (ITH) in both gastric and colorectal tumors, reinforcing the need for spatially resolved genomic profiling to accurately capture regional mutation spectra and therapeutic vulnerabilities (<xref ref-type="bibr" rid="B35">35</xref>). Complementary studies have identified RNF11 as another critical mediator of CRC progression, functioning through differential mRNA expression and ubiquitin ligase activity that promote tumor proliferation and immune escape, thereby representing an emerging therapeutic target (<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>Adding to this complexity, stromal-tumor crosstalk mediated by Wnt5a and hypoxia-induced fibroblasts (InfFib) establishes a pro-tumorigenic microenvironment in colorectal carcinoma. Wnt5a, expressed by inflammatory fibroblasts under hypoxic conditions, reinforces tumor angiogenesis suppression through VEGFR1 (Flt1)-dependent pathways and sustains a hypoxic niche that drives epiregulin production thereby potentiating tumor growth and metastasis (<xref ref-type="bibr" rid="B37">37</xref>). Concurrently, m6A RNA methylation regulators, including METTL3 and YTHDC1, orchestrate post-transcriptional control of metastasis-associated transcripts such as NRXN3, forming a METTL3&#x2013;YTHDC1&#x2013;NRXN3 axis that facilitates peritoneal dissemination of CRC (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>Collectively, these insights delineate a multifactorial interplay between mutation-driven selection, epigenetic remodeling, and&#xa0;microenvironmental adaptation, which together fuel the evolution of chemoresistance in metastatic colorectal cancer. Future research integrating spatiotemporal genomics, epigenetic mapping, and immune landscape profiling will be crucial for defining actionable vulnerabilities and developing multi-targeted immunoepigenetic therapies to overcome tumor heterogeneity and therapeutic resistance.</p>
</sec>
<sec id="s4">
<label>4</label>
<title>Comprehensive analysis of mtDNA variants and CRC risk</title>
<p>Mitochondria have prominent implications in the pathophysiology of diseases neurological ailments include dementia, other neurodegenerative conditions like Alzheimer&#x2019;s disease, Parkinson&#x2019;s disease and multiple sclerosis (<xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B50">50</xref>). However, the mitochondrial contributions to these diseases are often secondary and not yet fully understood. Neoplastic cells often exhibit metabolic imbalances, accumulating changes that manifest in advanced clinical phenotypes. Mitochondrial mutations are increasingly observed in cancers (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B51">51</xref>&#x2013;<xref ref-type="bibr" rid="B57">57</xref>), although whether these mutations are causative or consequential remains a question and warranted future studies. Severity of mitochondrial ailments is influenced by &#x2018;biochemical threshold&#x2019;, a point at which the proportion of mutant mtDNA exceeds a critical ratio inside the cells. This threshold can affect multiple tissues or be confined to specific ones, contributing to the diagnostic and mechanistic complexity of mitochondrial diseases. In another a few cells, normal mtDNA could mitigate the effects of mutated variants through rescue mechanisms include mitochondrial fission/fusion (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B58">58</xref>). Variations in mtDNA content can influence both metabolic processes and nuclear epigenetic modifications (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B59">59</xref>&#x2013;<xref ref-type="bibr" rid="B61">61</xref>). While it is hypothesized that the epigenetic modifications in mtDNA might be influenced by mtDNA copy number, this remains to be thoroughly investigated.</p>
<p>At birth, mtDNA is homoplasmic, meaning it is identical across all cells, though the copy number varies by tissue. With aging, mtDNA accumulates mutations leading to heteroplasmy, where cells contain a mix of different mtDNA sequences. This heteroplasmy influences cellular evolution and impacts disease severity and subtype (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B62">62</xref>). Heteroplasmy is altered depending on tissue type as well as energy requirements. This highlights the significance of considering both mtDNA sequence and copy number in cancer studies. Advanced genome sequencing techniques have increased the detection of heteroplasmy (<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>), complicating the distinction between driver and ancillary mutations. Persistent heteroplasmy generally attributed to the phenotype instability in dividing cells (<xref ref-type="bibr" rid="B65">65</xref>), suggesting a selection pressure towards homoplasmy even in cancer cells (<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B67">67</xref>). Recent studies on iPSCs indicate that homoplasmy is crucial for maintaining pluripotency (<xref ref-type="bibr" rid="B68">68</xref>), though it is unclear if the same applies to cancer stem cells (<xref ref-type="bibr" rid="B69">69</xref>). The mtDNA could code quantitative trait loci (QTLs) which interact with nuclear genome for regulating the intricate disease process (<xref ref-type="bibr" rid="B70">70</xref>&#x2013;<xref ref-type="bibr" rid="B72">72</xref>). It is reported that the phenotypic alterations in cells are induced due to the intricate interplay of SNPs, mutations, and environmental factors. While mitochondrial polymorphisms alone are unlikely to fully explain disease progression, they do influence disease progression by modulating gene-gene interactions subsequently alter the tumor microenvironment. This interaction is crucial since mtDNA is maternally inherited, yet signals from the tumor microenvironment can modulate metastasis efficiency. Not all mtDNA SNPs will act as QTLs for specific phenotypes. Identifying mtDNA mutations as drivers of cancer has been challenging due to experimental and technological limitations. In breast cancer studies, mtDNA mutational burden showed no correlation with survival (<xref ref-type="bibr" rid="B73">73</xref>), yet TCGA datasets have revealed intriguing correlations (<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B67">67</xref>). Determining definitive cause-and-effect relationships is challenging due to the presence of numerous copies of mtDNA per cell and the difficulty in manipulating all these copies simultaneously (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B75">75</xref>).</p>
<p>Mitochondrial CNVs in metastatic cancers: A few published reports indicates that mtDNA CNVs are present in various cancers (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B76">76</xref>&#x2013;<xref ref-type="bibr" rid="B78">78</xref>). For instance, ovarian cancers often have more than 600 copies, while myeloid cancers have around 90 copies. Increased mtDNA is evident in the disease conditions such as chronic lymphocytic leukemia, lung squamous cell carcinoma, and pancreatic adenocarcinoma; the extent of mtDNA is lesser in the disease conditions include kidney clear cell carcinoma, hepatocellular carcinoma, and myeloproliferative neoplasms. Copy number variants is reported to have a positive correlation with age of the individuals diagnosed with prostate cancer and colorectal cancer (<xref ref-type="bibr" rid="B76">76</xref>, <xref ref-type="bibr" rid="B79">79</xref>). These findings concluded the complexity of mitochondrial biogenesis regulation in oncogenesis and metastasis (<xref ref-type="bibr" rid="B69">69</xref>).</p>
<p>Approximately 35% of colorectal cancer cases are attributed to inherited susceptibility, with a small fraction due to known genetic mutations (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B80">80</xref>). Genome-wide association studies reported several low-penetrance susceptibility loci correlated to CRC, demonstrating the role of common genetic variations (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B81">81</xref>). Mitochondria are crucial for energy metabolism, ROS generation, and apoptosis regulation, all of which are involved in cancer development (<xref ref-type="bibr" rid="B82">82</xref>&#x2013;<xref ref-type="bibr" rid="B86">86</xref>). A higher generation of ROS in dividing tumor cells could cause oxidative stress subsequently fosters DNA damage, leading to genetic instability (<xref ref-type="bibr" rid="B87">87</xref>&#x2013;<xref ref-type="bibr" rid="B89">89</xref>).</p>
<p>Somatic mtDNA mutations are found in several cancer types, including CRC (<xref ref-type="bibr" rid="B90">90</xref>). Although their causal role remains unclear, it is plausible that variant mitochondrial functions could cause cancer risk, as suggested by associations with breast cancer susceptibility (<xref ref-type="bibr" rid="B91">91</xref>). A comprehensive evaluation of mtDNA variants and CRC risk has involved genotyping 132 tagging variants, capturing about 80% of common mitochondrial variation, in a large case-control study (<xref ref-type="bibr" rid="B24">24</xref>). However, the potential role of low-frequency mtDNA variants or gene-environment interactions remains a possibility. Future research should focus on larger sample sizes and incorporate non-genetic covariates to effectively describe the implications of mitochondrial variations in CRC. The complex interaction between nuclear and mitochondrial genomes, along with the influence of environmental factors, describes the need for integrated studies to unravel the multifaceted roles of mtDNA in disease progression and metastasis.</p>
<p>Mitochondria contain extrachromosomal DNA. Mitochondrial haplogroups, which are defined by unique sets of mitochondrial single nucleotide polymorphisms (mtSNPs) describes specific ancestral populations; these are linked to incidence of various cancers, including breast cancer and nasopharyngeal cancers (<xref ref-type="bibr" rid="B92">92</xref>&#x2013;<xref ref-type="bibr" rid="B95">95</xref>). However, research examining the association between mitochondrial haplogroups and CRC risk in European and Asian populations has produced inconsistent results (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B96">96</xref>). Another report described the functions of mtDNA in the risk of getting CRC in several ethnic groups by examining 185 mtSNPs (<xref ref-type="bibr" rid="B12">12</xref>). Germline mtDNA polymorphisms may contribute to cancer disparities. Implications of germline and somatic mutations and transcriptional activities of mitochondrial genes using whole-genome sequencing of 38 tumor types (<xref ref-type="bibr" rid="B76">76</xref>). According to this report (<xref ref-type="bibr" rid="B76">76</xref>), MT-ND5 is identified as the most recurrently mutated electron transport chain gene in diverse cancer types, while MT-ND4 and MT-COX1 were most commonly mutated in other cancer types include prostate cancer, lung cancer, breast cancer, and cervical cancer types respectively. Most mutations involved a C:G&gt;T:A transition in over 50% of cases (<xref ref-type="bibr" rid="B76">76</xref>). Somatic mtDNA mutations arise early in neoplastic cell lineages and progressively shift towards homoplasmy over time. This progression towards homoplasmy could be due to asymmetric segregation at the time of cell proliferation or the selective advantage of specific mutations. In subsets of kidney or thyroid carcinomas lacking identifiable oncogenic drivers, non-silent mtDNA mutations imply a main role for these mutations. The selective pressure against truncating mutations in mtDNA-encoded proteins highlights the critical importance of maintaining an intact ETC for the survival of most cancer cells, with notable exceptions in kidney, colorectal, and thyroid cancers (<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B76">76</xref>).</p>
<p>Furthermore, oncogenes are involved in modulating the metabolism. For instance, the p53 P72R gain-of-function mutation could modulate the function of mitochondrial PGC1&#x3b1;, which could cause poorer cancer prognosis (<xref ref-type="bibr" rid="B97">97</xref>&#x2013;<xref ref-type="bibr" rid="B100">100</xref>). Additionally, c-Myc is involved in the mtDNA fragmentation (<xref ref-type="bibr" rid="B101">101</xref>). This raises questions about whether oncogenes can modulate tumorigenesis with the involvement of mtDNA mutations or SNPs; it is crucial to explore whether combination effects of mtDNA as well as nuclear DNA QTLs involved in susceptibilities to cancer and metastasis. Mutations in mtDNA vary in frequency and location across different cancers; prostate cancer and colorectal cancers exhibiting the highest mutation rates, while heme malignancies generally exhibit minimal mutation rate (<xref ref-type="bibr" rid="B67">67</xref>). It is crucial to examine the influence of selective advantage of specific mtDNA mutations for CRC risk? and other tissue-specific alterations in mitochondrial DNA mutations for mediating oncogenesis or metastasis of chemoresistant CRC. Finally, the implications of germline mutations in mitochondrial DNA in specific to SNPs could explore the racial disparities in the oncogenesis and metastasis of CRC. For instance, a few previous reports described the relative risk associated with mitochondrial DNA haplotypes as described in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref> (<xref ref-type="bibr" rid="B69">69</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Overview of mitochondrial genetic variants, haplogroups, and their association with colorectal cancer (CRC) risk across populations (<xref ref-type="bibr" rid="B12">12</xref>).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Genetic variant/Haplogroup</th>
<th valign="middle" align="left">Genomic location</th>
<th valign="middle" align="left">Population studied</th>
<th valign="middle" align="left">Relative risk (RR)</th>
<th valign="middle" align="left">Key findings</th>
<th valign="middle" align="left">Refs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">mtSNP1</td>
<td valign="middle" align="left">Region A</td>
<td valign="middle" align="left">European</td>
<td valign="middle" align="left">1.2</td>
<td valign="middle" align="left">No significant association with overall CRC risk</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">mtSNP2</td>
<td valign="middle" align="left">Region B</td>
<td valign="middle" align="left">Asian</td>
<td valign="middle" align="left">0.9</td>
<td valign="middle" align="left">Inconsistent association results across independent studies</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B94">94</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">mtSNP3</td>
<td valign="middle" align="left">Region C</td>
<td valign="middle" align="left">African American</td>
<td valign="middle" align="left">1.5</td>
<td valign="middle" align="left">Potential positive correlation with increased CRC susceptibility</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B96">96</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Haplogroup A</td>
<td valign="middle" align="left">mtSNP1, mtSNP2</td>
<td valign="middle" align="left">European</td>
<td valign="middle" align="left">1.3</td>
<td valign="middle" align="left">Elevated CRC risk in specific genetic subgroups</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B95">95</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Haplogroup B</td>
<td valign="middle" align="left">mtSNP3, mtSNP4</td>
<td valign="middle" align="left">Asian</td>
<td valign="middle" align="left">0.8</td>
<td valign="middle" align="left">Suggested protective effect against CRC in some cohorts</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B95">95</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Haplogroup C</td>
<td valign="middle" align="left">mtSNP5, mtSNP6</td>
<td valign="middle" align="left">African</td>
<td valign="middle" align="left">1.7</td>
<td valign="middle" align="left">Higher CRC predisposition observed in African populations</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B88">88</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>mtSNP: mitochondrial DNA single nucleotide polymorphism. A variant such as mtSNP1 (T14470C) means that at mitochondrial DNA position 14470, thymine (T) is replaced by cytosine (C) representing one of the mtSNPs potentially associated with colorectal cancer susceptibility.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>As discussed in the above, alterations in the mtDNA genome could cause CRC risk. Recent reports described the association of mtDNA variants with canonical haplotypes in CRC risk, for instance, the variants that capture 79% of all polymorphic variants with a minor allele frequency (MAF) &gt;1% and 92% of variants with MAF &gt;5% (<xref ref-type="bibr" rid="B24">24</xref>). <italic>Post hoc</italic> analyses suggested a stronger association between the A5657G variant and colon disease, instead of rectal disease, and a link between microsatellite instability (MSI) in CRC and the T4562C variant. Tumor hypoxia, which impairs the DNA mismatch repair system by downregulating MMR genes like MLH1, might explain these findings. Since A5657G is non-coding and T4562C is synonymous, their effects are likely indirect, possibly mediated by untyped SNPs (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B102">102</xref>&#x2013;<xref ref-type="bibr" rid="B104">104</xref>). The lack of consideration for mtDNA heteroplasmy in CRC yet requires future studies. A previous report examined whether common mtDNA variations influence CRC risk by genotyping 132 tagging mtDNA variants in 2854 CRC cases and 2822 controls, covering about 80% of common mtDNA variation (excluding the hypervariable D-loop). The strongest association in single marker tests was with A5657G individuals. Examining the cohorts by segregating into the nine&#xa0;common European haplogroups and comparing their distribution in cases and controls also showed no evidence of association between mtDNA genome variations and risk of CRC development but this association is yet to be proven in the chemoresistant metastatic CRC (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Future research directions should focus on exploring the functional impacts of low-frequency mtDNA variants and heteroplasmic mutations. Advanced sequencing technologies and larger cohorts will enhance the resolution of such studies. Investigating the interaction between mitochondrial and nuclear genomes, and how these interactions contribute to cancer progression under different environmental conditions, will be crucial. Additionally, longitudinal studies assessing mtDNA variation and heteroplasmy changes over time in cancer patients could provide insights into their roles in cancer progression and response to therapy (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Mitochondrial mutations, SNPs and colorectal cancer in specific populations: A previous report described the functional role of mitochondrial genome pertinent to CRC risk among 14,383 colorectal cancer cases and controls (<xref ref-type="bibr" rid="B12">12</xref>). This research systematically evaluated mitochondrial genome, and its pathways, gene sets, as well as implications of haplogroups across various maternal racial and ethnic groups in relation to CRC (<xref ref-type="bibr" rid="B12">12</xref>). This pathway analyses suggested a main role of mitochondrial genome as well as OXPHOS pathway in CRC risk in European Americans. Specifically, authors identified an association between the MT-ND2 gene with the risk of acquisition of CRC in European Americans, with a more pronounced correlation observed in colon cancers (<xref ref-type="bibr" rid="B12">12</xref>). Furthermore, haplogroup T is involved in the CRC risk among European Americans irrespective of global ancestry race. Thus, functional implications of the identified mitochondrial mutations related to CRC risk was described. For example, variations in MT-ND2 gene, which encodes a subunit of NADH dehydrogenase (Complex I), could potentially disrupt electron transport and increase ROS production, contributing to CRC pathogenesis. Another report described the overexpression of MT-ND2 in CRC tissues than normal tissues which has correlation with reduced mtDNA D-loop methylation, and correlated to stages of CRC pathogenesis (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B105">105</xref>, <xref ref-type="bibr" rid="B106">106</xref>). This report described the functional aspects of MT-ND2 in the development of CRC.</p>
<p>Additionally, the OXPHOS pathway&#x2019;s involvement in CRC underscores the importance of mitochondrial bioenergetics in cancer development (<xref ref-type="bibr" rid="B12">12</xref>). Haplogroup T&#x2019;s association with CRC risk suggests that inherited mitochondrial variations can influence cancer susceptibility. This finding aligns with previous research showing that certain mitochondrial haplogroups are linked to metabolic traits and disease risks. These insights into the mitochondrial genome&#x2019;s contribution to CRC risk pave the way for future research to understand the complex interplay between mitochondrial genetics, cellular metabolism, and cancer. Further studies are needed to explore the mechanistic pathways through which mitochondrial variations influence metastatic CRC development and to explore potential therapeutic targets within the mitochondrial genome (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>For instance, the distribution of mitochondrial haplogroups within the Multiethnic Cohort Study (MEC) aligns with previously reported data pertinent to U.S. population-based samples, corroborating existing population genetics research (<xref ref-type="bibr" rid="B107">107</xref>). Specifically, the prevalence of haplogroup T among European American controls (9.57%) corresponds with findings from the Mitomap database, which indicates a frequency range of 8% to 11% across Western to Eastern European populations, as well as with data from non-Hispanic Whites in the National Health and Nutrition Examination Surveys (NHANES), which reports a similar frequency of 9.6% (<xref ref-type="bibr" rid="B107">107</xref>, <xref ref-type="bibr" rid="B108">108</xref>). Previous studies in Chinese and Scottish cohorts did not find associations between mtDNA haplogroups and incidence risk of CRC (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B94">94</xref>). However, an association was noted between haplogroup B4 with the incidence risk of CRC risk in Korean patient cohort (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B96">96</xref>). Another report described a correlation between haplogroup T with the incidence risk of CRC risk in European Americans, independent of overall genetic ancestry (<xref ref-type="bibr" rid="B12">12</xref>). Haplogroup T is distinguished by a set of 9 polymorphisms (<xref ref-type="bibr" rid="B109">109</xref>, <xref ref-type="bibr" rid="B110">110</xref>), which include a total of 5 RNA variants (G709A, G1888A, T8697A, T10463C, G15928A), three synonymous mutations (G13368A, G14905A, A15607G), as well as one nonsynonymous mutation (A4917G). Mutation A4917G, which serves as defining marker for haplogroup T, is a conserved polymorphism within the MT-ND2 gene (<xref ref-type="bibr" rid="B95">95</xref>, <xref ref-type="bibr" rid="B109">109</xref>, <xref ref-type="bibr" rid="B110">110</xref>).</p>
<p>In the Scottish cohort, an analysis of 132 mtSNPs revealed no overall CRC risk association, though the A5657G variant in tRNA, with a minor allele frequency (MAF) of 0.01, was linked to colon tumors (<xref ref-type="bibr" rid="B24">24</xref>). The implications of SKAT common/rare approach, which enhances power by collectively testing multiple risk alleles with modest effects, addressing the limitations of single SNP tests, especially in the context of correlated SNPs and the need to balance the influence of rare variants (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B111">111</xref>&#x2013;<xref ref-type="bibr" rid="B114">114</xref>).</p>
<p>Most of the existing research focuses on mutations within the coding regions of mtDNA. A previous report found no significant overall correlation between mitochondrial haplogroups and CRC risk (<xref ref-type="bibr" rid="B24">24</xref>). However, they identified an association between the A5657G mutation in the non-coding region located between mt-tRNAAla and mt-tRNAAsp and the incidence of colorectal cancer, as opposed to rectal cancer. Furthermore, a synonymous mutation in the MT-ND2 gene (T4562C) was associated with microsatellite instability in CRCs, indicating a potential role in cancer pathogenesis (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Research involving mitochondrial-nuclear exchange (MNX) mice has provided crucial insights, building on Ishikawa&#x2019;s pioneering work with cybrids, which demonstrated the influence of mitochondrial transfer on metastasis (<xref ref-type="bibr" rid="B115">115</xref>&#x2013;<xref ref-type="bibr" rid="B117">117</xref>). Mutations in the mtDNA, particularly those disrupting complex I, such as the insertion mutation 13885insC in the MT-ND6 gene, have been shown to increase ROS production and enhance metastatic potential (<xref ref-type="bibr" rid="B115">115</xref>, <xref ref-type="bibr" rid="B118">118</xref>). These mtDNA alterations were also found to upregulate the expression of genes involved in glycolysis and metastatic processes (<xref ref-type="bibr" rid="B118">118</xref>). Furthermore, specific mutations in the MT-ND6 (C12084T) and MT-ND5 (A13966G) genes were linked to increased metastatic activity, as exemplified by the MT-ND6 mutation, which heightened invasiveness in A549 lung cancer cells (<xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B119">119</xref>). Additional mutations in NADH dehydrogenase genes, including &#x201c;<italic>T3398C, T12338C, C3689G, G3709A, G3955A, T10363C, C11409T, G13103A</italic>, and <italic>T14138CC</italic>&#x201d; in MT-ND1, as well as &#x201c;<italic>G12813A, G13366A</italic>&#x201d;, and a premature truncation 14504delA in MT-ND5 or MT-ND6, were involved in mediating distant metastasis (<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B121">121</xref>). Two SNPs in MT-ND1 (<italic>C3497T</italic> and <italic>T3394C</italic>) were particularly noteworthy, suggesting that ancestral genetic differences might influence the cancer pathogenesis (<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B122">122</xref>). The association between various mtDNA haplotypes and the predicted risk of different cancers. Each row corresponds to a specific mtDNA haplotype (<xref ref-type="table" rid="T2"><bold>Tables&#xa0;2</bold></xref>, <xref ref-type="table" rid="T3"><bold>3</bold></xref>), defined by unique polymorphisms, and details the relevant mutations within mitochondrial genes.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Mitochondrial DNA (mtDNA) mutations and polymorphisms identified in colorectal cancer (CRC) cohorts (<xref ref-type="bibr" rid="B69">69</xref>).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Cancer type</th>
<th valign="middle" align="left">Mitochondrial gene (Gene symbol)</th>
<th valign="middle" align="left">Mutation/Polymorphism (mtDNA position)</th>
<th valign="middle" align="left">Refs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Colorectal</td>
<td valign="middle" align="left">MT-ND6</td>
<td valign="middle" align="left">T14470C</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal</td>
<td valign="middle" align="left">MT-ND1</td>
<td valign="middle" align="left">C3497T</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal</td>
<td valign="middle" align="left">MT-ND1</td>
<td valign="middle" align="left">T3394C</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal</td>
<td valign="middle" align="left">MT-ND5</td>
<td valign="middle" align="left">G12630A</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal</td>
<td valign="middle" align="left">MT-TT</td>
<td valign="middle" align="left">G15928A</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal</td>
<td valign="middle" align="left">MT-CO1</td>
<td valign="middle" align="left">C6371T</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal</td>
<td valign="middle" align="left">MT-ND5</td>
<td valign="middle" align="left">T14138C</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B121">121</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal</td>
<td valign="middle" align="left">MT-ND1</td>
<td valign="middle" align="left">C3689G</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B121">121</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal</td>
<td valign="middle" align="left">MT-TR</td>
<td valign="middle" align="left">T10463C</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B121">121</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal</td>
<td valign="middle" align="left">MT-ND1</td>
<td valign="middle" align="left">G3955A</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B121">121</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>All mitochondrial genes (MT-ND, MT-CO, MT-T, and MT-R) encode components of the respiratory chain or mitochondrial translation machinery implicated in altered oxidative phosphorylation (OXPHOS) efficiency in CRC. MT-ND1, mitochondrially encoded NADH dehydrogenase subunit 1; MT-ND2, mitochondrially encoded NADH dehydrogenase subunit 2; MT-ND5, mitochondrially encoded NADH dehydrogenase subunit 5; MT-ND6, mitochondrially encoded NADH dehydrogenase subunit 6; MT-CO1, mitochondrially encoded cytochrome c oxidase subunit 1; MT-TT, mitochondrial tRNA-Thr; MT-TR, mitochondrial tRNA-Arg; D-loop, displacement loop (non-coding control region).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Predicted colorectal cancer (CRC) risk based on mitochondrial haplotypes and associated mtDNA variants.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Cancer type</th>
<th valign="middle" align="left">Mitochondrial gene/Region</th>
<th valign="middle" align="left">Mutation/Polymorphism (Functional annotation)</th>
<th valign="middle" align="left">Refs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Colorectal</td>
<td valign="middle" align="left">Non-coding control region (D-loop)</td>
<td valign="middle" align="left">A5657G <italic>(non-coding region variant)</italic></td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal</td>
<td valign="middle" align="left">MT-ND2</td>
<td valign="middle" align="left">T4562C <italic>(synonymous substitution)</italic></td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Predictive haplotype-based models suggest that both coding and non-coding mtDNA variants may modulate CRC susceptibility through effects on mitochondrial transcription, replication, and metabolic regulation.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Further evidence from studies on MNX mice indicated that mtDNA SNPs in the stroma could impact metastatic potential, paralleling findings of the T3394C mutation&#x2019;s role in adjacent mucosal tissues in non-small cell lung cancer and colon tumors, pointing towards inherited susceptibilities to metastasis (<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B122">122</xref>). The metabolic shift from OXPHOS to glycolysis, accompanied by enhanced heteroplasmy, has been observed in invasive versus non-invasive breast cancer cells (<xref ref-type="bibr" rid="B122">122</xref>). However, this metabolic reprogramming is not universally described in different carcinoma types, suggesting variability in mitochondrial involvement (<xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B123">123</xref>).</p>
<p>The role of mitochondrial antioxidants, particularly mitochondrial catalase (mtCAT), has also been emphasized in metastasis regulation. mtCAT has been shown to decrease macrophage infiltration and reduce the number of CD34+ endothelial cells, implying a suppression of angiogenesis, which is critical for tumor progression and metastasis (<xref ref-type="bibr" rid="B124">124</xref>, <xref ref-type="bibr" rid="B125">125</xref>). This highlights the complex interplay between mitochondrial function, oxidative stress, and cancer progression, underscoring the need for further exploration into mitochondrial genetics and its impact on metastatic colorectal cancer biology (<xref ref-type="bibr" rid="B69">69</xref>).</p>
<p>The SNP A4917G in the T haplogroup was associated with risk of CRC incidence in a diverse population, but specific references for this SNP need to be verified separately. These <xref ref-type="table" rid="T2"><bold>Tables&#xa0;2</bold></xref>, <xref ref-type="table" rid="T3"><bold>3</bold></xref> summarize the identified mtDNA mutations and polymorphisms associated with colorectal cancer based on the referenced studies. Each entry includes the cancer type, specific gene affected, mutation/polymorphism, and corresponding references (<xref ref-type="bibr" rid="B69">69</xref>). According to this report (<xref ref-type="bibr" rid="B69">69</xref>), In a study involving 2,453 cases of colorectal cancer and 11,930 control subjects, mtDNA-SNP of A4917G emerged as the most significant variant associated with cancer risk. This SNP, located within the T haplogroup, was identified across a diverse cohort, including American men and women of Asian, African, European, Latino, or Native Hawaiian descent (<xref ref-type="bibr" rid="B12">12</xref>). The presence of A4917G was correlated with a greater risk of acquiring CRC, suggesting a potential role in disease pathogenesis. Additionally, the G4655A SNP was reported with a heightened risk of CRC specifically in European-Americans. However, this association was not observed consistently across the broader population, indicating a possible interaction with nuclear genetic factors or environmental influences that modulate the impact of this mtDNA variant. Such differential risk profiles describe the complexity of mtDNA-nuclear DNA interactions and their influence on cancer susceptibility. Further research into these interactions could demonstrate the underlying mechanisms by which mtDNA variations contribute to colorectal cancer risk and offer insights into personalized risk assessment and targeted interventions (<xref ref-type="bibr" rid="B69">69</xref>).</p>
<p>Eight specific SNPs (<italic>A16163G, C16186T, T16189C, C16223T, T16224C, C16295T, T16311C, T16519C</italic>) showed significant differences between CRC patients and controls, indicating that these SNPs might increase CRC risk or be in linkage disequilibrium with other functional SNPs contributing to cancer risk. Notably, a thymine-to-cytosine transition at position 16519 (T16519C) was found in 70% of CRC samples (<xref ref-type="bibr" rid="B126">126</xref>). This variant, located in the tRNAVal region, may lead to metabolic impairment and resistance to apoptosis, potentially worsening the prognosis for CRC patients. Previous studies have associated the T16519C SNP with increased risk for breast cancer and poorer outcomes in pancreatic cancer (<xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B127">127</xref>). Despite its frequent occurrence in healthy controls (43%), the crucial functions of this mutation remains unclear and warrants further investigation (<xref ref-type="bibr" rid="B126">126</xref>).</p>
<p>Mitochondrial D-loop/ND genes mutations and colon cancers: Mutations in D-loop can influence mtDNA transcription, leading to mitochondrial dysfunction and potentially contributing to cancer initiation and progression (<xref ref-type="bibr" rid="B128">128</xref>). Elevated ROS levels can have deleterious effects, including apoptosis induction and genomic damage, and can alter cellular fates, shifting from apoptosis to necrosis, which in turn influences nuclear DNA mutations, cell division, and tumor growth. Whether mtDNA variations are causative factors or secondary results of the neoplastic process remains an open question. Given the multifactorial nature of cancer and the critical role of mitochondria in ROS production and apoptosis regulation, further exploration into mtDNA D-loop variations in cancer patients is essential (<xref ref-type="bibr" rid="B126">126</xref>). D-loop mutations result in a reduced mtDNA copy number or altered mitochondrial gene expression (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>), thereby disrupting mitochondrial metabolism and the oxidative phosphorylation pathway. The exact role of these mutations in cancer progression is still under investigation; however, there is a consensus that mtDNA mutations are valuable cancer biomarkers (<xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B129">129</xref>&#x2013;<xref ref-type="bibr" rid="B134">134</xref>). Specifically, mutations within mtDNA displacement loop (D-loop) region have been identified in colorectal and gastric cancers (<xref ref-type="bibr" rid="B135">135</xref>) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). This non-coding region has also been implicated in other malignancies, including lung, colon, ovarian, liver, and breast cancers (<xref ref-type="bibr" rid="B136">136</xref>&#x2013;<xref ref-type="bibr" rid="B138">138</xref>). The investigation of mtDNA mutations offers a promising avenue for early cancer diagnostics, as these mutations can serve as potential biomarkers (<xref ref-type="bibr" rid="B139">139</xref>). Human mtDNA consists of a 16,569-base pair circular DNA encodes 13 polypeptides essential for the OXPHOS system, along with 12S and 16S rRNA and 22 tRNAs crucial for mitochondrial protein synthesis. D-loop, a critical noncoding region, regulates the replication as well as transcription of mtDNA and contains numerous common polymorphisms, especially within its highly variable segments (<xref ref-type="bibr" rid="B140">140</xref>). Spanning 1,124 base pairs (nucleotides 16,024 to 576), D-loop includes hypervariable regions HV1 (16,024-16,383) and HV2 (57-372), which serve as promoters for both the heavy (guanine-rich) and light (cytosine-rich) strands of mtDNA. These regions are particularly prone to mutations in various cancers (<xref ref-type="bibr" rid="B136">136</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>mtDNA genome consists of 16,569 base pairs associated D loop. This genomic structure contains three essential transcription promoters: the heavy strand promoter 1 (HSP1), responsible for transcribing the two ribosomal RNA genes, HSP2, which drives transcription of the remaining genes on the heavy strand, and the LSP, which manages the transcription of the light strand. The mtDNA encodes 13 essential structural genes, 22 transfer RNAs (tRNAs), and two ribosomal RNAs (rRNAs), crucial for mitochondrial function and cellular energy production. These regions are subject to investigation in studies focused on DNA methylation patterns, particularly in the context of neurodegenerative diseases. Notably, research has examined both global and region-specific DNA methylation (5-methylcytosine, 5-mC) and hydroxymethylation (5-hydroxymethylcytosine, 5-hmC) profiles within mtDNA (<xref ref-type="bibr" rid="B17">17</xref>). These epigenetic modifications have been assessed in various tissues obtained from patients with neurodegenerative conditions but these mutations role in the ND regions and their methylation yet to be examined for their potential role in OXPHOS and the progression of chemoresistant colorectal cancers. Abbreviations: COI to COIII: complex I to complex IV.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1623117-g001.tif">
<alt-text content-type="machine-generated">Circular diagram illustrating mitochondrial DNA with labeled regions, including genes ND1-6, COI-III, ATPase6, and ATPase8. Annotations indicate 5-methylcytosine (5-mC) and 5-hydroxymethylcytosine (5-hmC) sites. A central note mentions mtDNA methylation's reported role in neurodegenerative diseases and calls for future studies on ND region mutations in OXPHOS and chemoresistant colorectal cancer (CRCs).</alt-text>
</graphic></fig>
<p>Akouchekian et&#xa0;al. (<xref ref-type="bibr" rid="B126">126</xref>) analyzed mutation rate within the D-loop in CRC by sequencing mitochondrial control region in 40 CRC patient samples (20 females and 20 males) and comparing them with 150 normal control samples (79 females and 71 males). According to study, a high degree of polymorphism in mtDNA among individuals, with CRC patients exhibiting a higher frequency of variations in the D-loop region compared to controls was evident. Thirteen novel polymorphisms, not previously cataloged in the mitochondrial database (Mitomap), were identified, suggesting a potential link between these mtDNA variations and nuclear DNA mutations in CRC (<xref ref-type="bibr" rid="B126">126</xref>). Previous research has demonstrated a link between mtDNA mutations and several cancer incidences in human beings (<xref ref-type="bibr" rid="B135">135</xref>, <xref ref-type="bibr" rid="B141">141</xref>, <xref ref-type="bibr" rid="B142">142</xref>).</p>
<p>Mitochondria modulate OXPHOS pathway, which comprises complexes I to V. mtDNA possess seven subunits of complex I such as ND1, ND2, ND3, ND4L, ND4, ND5, and ND6; it also composed of a single subunit of complex III viz., cytochrome b (CYTB), as well as three subunits of complex IV viz., cytochrome c oxidase (CO) I, II, and III (<xref ref-type="bibr" rid="B118">118</xref>). Complex I is large and mediate proton-pumping NADH oxidoreductase activity, transferring electrons from NADH to ubiquinone (<xref ref-type="bibr" rid="B143">143</xref>, <xref ref-type="bibr" rid="B144">144</xref>). The structure of Complex I includes a peripheral arm that extends perpendicularly to the membrane arm. This peripheral arm is divided into two main sections: distal PD module, composed of ND5 and ND4 subunits, and the proximal PP module, which includes the ND2, ND4L, ND6, ND3, and ND1 subunits to facilitate electron transfer pathway. ND1 subunit, confined to the proximal end, acts as a docking site for the Q module. Complex I is essential for the respiratory chain, playing a critical role in maintaining the NAD+/NADH ratio, regulating ROS levels, generating the mitochondrial membrane potential, as well as producing ATP. Malfunctions in Complex I are often linked to various mitochondrial diseases (<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B145">145</xref>&#x2013;<xref ref-type="bibr" rid="B147">147</xref>).</p>
<p>Mutations in ND genes have profound effects on the malignancy of cancer cells, particularly in invasion and metastasis (<xref ref-type="bibr" rid="B146">146</xref>). Research has revealed that ROS-generating mtDNA mutations in ND6, such as G13997A and 13885insC cause higher metastasis in cancers (<xref ref-type="bibr" rid="B115">115</xref>, <xref ref-type="bibr" rid="B117">117</xref>). This marked the initial discovery of pathogenic mutations associated with ND genes that driving metastasis (<xref ref-type="bibr" rid="B115">115</xref>, <xref ref-type="bibr" rid="B117">117</xref>). Subsequent studies have validated these findings; for instance, the ND5 G13289A mutation has been shown to increase ROS production, invasion in human lung cancer cells (<xref ref-type="bibr" rid="B148">148</xref>). Similarly, studies in xenograft models, ND3 G10398A mutation has been observed to increase invasion as well as metastasis in human breast cancer cells, while ND6 missense as well as nonsense mutations exhibit similar effects <italic>in vitro</italic> (<xref ref-type="bibr" rid="B119">119</xref>, <xref ref-type="bibr" rid="B149">149</xref>). Furthermore, ND6 gene mutations have been linked to lymph node metastasis in lung adenocarcinoma patients (<xref ref-type="bibr" rid="B119">119</xref>).</p>
<p>While some research suggests that increased complex I activity might reduce breast cancer metastasis (<xref ref-type="bibr" rid="B150">150</xref>), the connection between decreased complex I activity and metastasis remains ambiguous. The study of ND gene mutations is complicated by their random occurrence in cancer cells and the varied impacts on complex I activity. This study (<xref ref-type="bibr" rid="B118">118</xref>) aims to predict the pathogenicity of ND gene to explore their correlation to distant metastasis of CRC cancers (<xref ref-type="bibr" rid="B118">118</xref>).</p>
<p>A previous study (<xref ref-type="bibr" rid="B118">118</xref>), described that nonsynonymous single-nucleotide variants (SNVs) and SNPs in ND genes of NSCLC and colon cancer. Candidates likely to reduce complex I activity were selected based on Grantham value, evolutionary conservation, as well as protein structure and indicated a significant association between these SNVs and SNPs with distant metastasis (<xref ref-type="bibr" rid="B118">118</xref>).</p>
<p>ND6 13885insC mutation, in particular, has been shown to foster metastasis in low-metastatic cells. P29mtB82M cells with this mutation exhibit lower complex I activity, higher ROS production, and greater lung-colonizing ability compared to P29mtP29 cells with wild-type mtDNA (<xref ref-type="bibr" rid="B115">115</xref>, <xref ref-type="bibr" rid="B118">118</xref>). P29mtB82M cells possess higher spontaneous metastatic potential, forming more metastatic foci. In this scenario, upregulation of metastasis-related genes such as Mmp11, Plaur, Ccl7, c-Myc, K-ras, Cd44, and VEGF-A (<xref ref-type="bibr" rid="B118">118</xref>).</p>
<p>The mutation induced a shift towards enhanced aerobic&#xa0;glycolysis (<xref ref-type="bibr" rid="B146">146</xref>), upregulating genes encoding for proteins&#xa0;include Glut1, hexokinase 1, phosphoglycerate kinase 1, and phosphofructokinase 1, while suppressing pyruvate dehydrogenase kinase 1. HIF-1a levels were upregulated which contributing to resistance against severe hypoxia. These changes suggest that the ND6 13885insC mutation enhances metastasis by stimulating metastasis-related genes, as well as metabolic reprogramming, tumor angiogenesis (<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B151">151</xref>, <xref ref-type="bibr" rid="B152">152</xref>). Elevated expression of genes related to metastasis include Mmp11, Plaur, Ccl7, Kras, Myc, CD44, and VEGF-A. MMP11 and Plaur play roles in degrading the extracellular matrix (<xref ref-type="bibr" rid="B153">153</xref>, <xref ref-type="bibr" rid="B154">154</xref>), while Ccl7 recruits tumor-associated macrophages, enhancing malignancy (<xref ref-type="bibr" rid="B155">155</xref>&#x2013;<xref ref-type="bibr" rid="B157">157</xref>). Kras and Myc contribute to increased malignancy (<xref ref-type="bibr" rid="B158">158</xref>&#x2013;<xref ref-type="bibr" rid="B160">160</xref>), whereas CD44 denotes a marker for cancer stem cells associated with metastasis (<xref ref-type="bibr" rid="B161">161</xref>). VEGF expression was higher in P29mtB82M cells, promoting tumor angiogenesis. Interestingly, upregulation in metastasis suppressor gene Mtss1 was evident whereas other metastasis enhancer genes Pnn, Lpar6, and Fxdy5 exhibited low expression, yet metastasis ability is more. Enhanced glycolysis and downregulation of PDK1 suggested increased acetyl-CoA generation. Increased HIF-1&#x3b1; expression in P29mtB82M cells likely led to upregulation of VEGF-A and glycolytic enzyme genes, contributing to hypoxia resistance and metastasis. These phenotypic changes collectively result in higher distant metastasis in P29mtB82M cells (<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B162">162</xref>).</p>
<p>As we discussed above, mtDNA related mutations occur randomly, leading to variability in each cancer cell. Despite this randomness, pathogenic missense as well as nonsense mutations in ND genes found to be crucial for distant metastasis (<xref ref-type="bibr" rid="B115">115</xref>, <xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B149">149</xref>, <xref ref-type="bibr" rid="B150">150</xref>). The study report by Nobuko Koshikawa et&#xa0;al. (<xref ref-type="bibr" rid="B118">118</xref>) sequenced genes such as ND1, ND2, ND3, ND4L, ND4, ND5, and ND6 in tissues from 45 primary NSCLC tumors and 37 brain metastases, as well as 22 primary colon cancer tumors and 11 distant metastases. They identified 51 somatic mutations which include a total of 22 nonsynonymous and 29 synonymous type, with a higher mutation frequency in ND6 compared to other ND genes. These mutations appeared as overlapping peaks (heteroplasmy) or single peaks (homoplasmy) on electropherograms, with homoplasmy being less prevalent in metastatic lesions (<xref ref-type="bibr" rid="B118">118</xref>).</p>
<sec id="s4_1">
<label>4.1</label>
<title>ND gene mutations and colorectal cancer metastasis</title>
<p>Thus, ND gene mutations are predominantly associated with metastasis experimentally (<xref ref-type="bibr" rid="B115">115</xref>, <xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B149">149</xref>, <xref ref-type="bibr" rid="B150">150</xref>). Nobuko Koshikawa et&#xa0;al. (<xref ref-type="bibr" rid="B118">118</xref>) described pathogenic SNVs as well as SNPs in ND genes, indicating involvement of complex I deficiency in metastasis and selected 12 SNVs as well as 2 SNPs. Furthermore, according to evolutionary conversation studies, SNPs <italic>T3394C</italic> and SNVs <italic>T3398C, G3709A, T10363C, C11409T, T12338C, G13103A</italic>, and <italic>T14138C</italic> involve conserved amino acid mutations. SNPs T3394C and C3497T and SNV T3398C are linked to mitochondria-related diseases. SNP C3497T and SNVs C3689G, G3709A, and G3955A may cause conformational changes in the ND1 protein, affecting complex I activity (<xref ref-type="bibr" rid="B143">143</xref>, <xref ref-type="bibr" rid="B144">144</xref>) (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). Complex III transfers electrons and generates ROS (<xref ref-type="bibr" rid="B163">163</xref>, <xref ref-type="bibr" rid="B164">164</xref>), so its dysfunction may cause more severe oxidative stress than complex I. Dysfunctions in complexes IV and V mitigate generation of ATP. Complex I dysfunction produces moderate ROS levels, promoting cell proliferation and survival, thereby favoring cancer cell metastasis (<xref ref-type="bibr" rid="B165">165</xref>). Homoplasmic states are observed to be minimally prevalent in cancer cells undergoing metastasis, possibly due to the pathogenic nature of heteroplasmic mutations (<xref ref-type="bibr" rid="B122">122</xref>, <xref ref-type="bibr" rid="B145">145</xref>). The heteroplasmic state correlates with breast cancer invasion (<xref ref-type="bibr" rid="B118">118</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>ND (NADH dehydrogenase/Complex I) gene mutations gene mutations, metastatic phenotype, mechanisms, and contribution to colorectal cancer metastasis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Cancer type</th>
<th valign="middle" align="left">ND gene mutation(s)</th>
<th valign="middle" align="left">How it induces/associates with metastasis</th>
<th valign="middle" align="left">How specific mtDNA mutations contribute to CRC metastasis</th>
<th valign="middle" align="left">Refs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Non-small cell lung cancer (NSCLC) &amp; Colon cancer (clinical associations)</td>
<td valign="middle" align="left">Multiple pathogenic SNVs and SNPs across ND genes (12 SNVs + 2 SNPs selected by Koshikawa et&#xa0;al.; examples: T3394C, T3398C, G3709A, T10363C, C11409T, T12338C, G13103A, T14138C, C3497T, C3689G, G3955A)</td>
<td valign="middle" align="left">Complex I deficiency &#x2192; altered electron transport and moderate ROS production &#x2192; ROS signaling (sub-lethal) promotes proliferation, survival, and metastatic traits; heteroplasmy may favor invasion. Association reported clinically with distant metastasis in NSCLC and colon cancer, but causality requires functional validation.</td>
<td valign="middle" align="left">Many of these ND variants are postulated to reduce Complex I activity (via conserved aa changes or conformational impacts), producing signaling ROS that can promote metastatic programs (migration, invasion, EMT-like phenotypes) and correlate with distant metastasis in clinical cohorts. Functional confirmation for each variant (activity, ROS output) is needed.</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B115">115</xref>, <xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B149">149</xref>, <xref ref-type="bibr" rid="B150">150</xref>) (<xref ref-type="bibr" rid="B122">122</xref>, <xref ref-type="bibr" rid="B145">145</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal cancer (CRC) - specific ND6 mutation</td>
<td valign="middle" align="left">ND6 13885insC (frameshift/truncating event)</td>
<td valign="middle" align="left">Reprograms cellular energy metabolism, upregulates metastasis-related gene expression, promotes angiogenesis and invasive phenotypes resulting in enhanced metastatic potential in experimental models.</td>
<td valign="middle" align="left">Direct experimental evidence indicates this ND6 insertion increases metastatic behavior of CRC cells by shifting metabolic flux toward supportive pathways for invasion and by inducing pro-angiogenic and pro-invasive transcriptional programs.</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B118">118</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal (general) - conserved/disease-linked ND variants</td>
<td valign="middle" align="left">T3394C, C3497T, T3398C, G3709A, C3689G, G3955A, T14138C, etc. (conserved aa or disease-linked SNP/SNVs)</td>
<td valign="middle" align="left">Conserved amino-acid altering variants and SNVs can change ND1/ND subunit conformation &#x2192; reduced Complex I efficiency &#x2192; altered ROS/bioenergetic signaling that favors metastatic phenotypes (proliferation, survival).</td>
<td valign="middle" align="left">In CRC these conserved ND variants are hypothesized to impair Complex I, generating signaling ROS levels that support tumor cell survival and dissemination; several (e.g., C3497T, C3689G, G3709A, G3955A) may cause conformational changes in ND1 impacting activity. Functional readouts remain necessary.</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B143">143</xref>, <xref ref-type="bibr" rid="B144">144</xref>) (<xref ref-type="bibr" rid="B118">118</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Multiple cancer types (mechanistic context)</td>
<td valign="middle" align="left">Heteroplasmic vs homoplasmic ND mutations (heteroplasmy common in metastatic cells)</td>
<td valign="middle" align="left">Heteroplasmy of pathogenic mtDNA variants often correlates with invasive behavior (heteroplasmic mutations provide a dynamic range of mitochondrial dysfunction that can be selected during progression); homoplasmy of strongly pathogenic variants is rare in metastasis due to deleterious effects.</td>
<td valign="middle" align="left">Heteroplasmic ND variants in CRC may permit sub-lethal Complex I dysfunction and adaptive ROS signaling that promote metastasis, whereas fixation (homoplasmy) of strongly deleterious variants is selected against in metastatic clones.</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B122">122</xref>, <xref ref-type="bibr" rid="B145">145</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Colorectal cancer - mtDNA copy number/mito-epigenetics (contextual contribution to metastasis)</td>
<td valign="middle" align="left">(Not ND-gene specific) &#x2191; mtDNA copy number; TFAM loss/depletion (mtDNA depletion in some contexts)</td>
<td valign="middle" align="left">Increased mtDNA content enhances OXPHOS capacity and supports metastatic phenotypes in MSS CRC; conversely, TFAM-mediated mtDNA depletion can promote progression and chemoresistance in MSI CRC &#x2014; illustrating that mtDNA quantity and regulation modulate metastatic potential via metabolic reprogramming.</td>
<td valign="middle" align="left">In MSS CRC, elevated mtDNA promotes cell survival, OXPHOS dependence, and metastasis (<italic>in vitro</italic> and <italic>in vivo</italic>). Thus, ND gene mutations act within an mtDNA-quantity and mitoepigenetic landscape that can amplify or modulate their pro-metastatic effects.</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B168">168</xref>, <xref ref-type="bibr" rid="B169">169</xref>) (<xref ref-type="bibr" rid="B170">170</xref>&#x2013;<xref ref-type="bibr" rid="B175">175</xref>) (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B176">176</xref>&#x2013;<xref ref-type="bibr" rid="B186">186</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Broad mechanistic comparison (other complexes)</td>
<td valign="middle" align="left">Complex I ND mutations vs Complex III/IV/V dysfunction</td>
<td valign="middle" align="left">Complex I dysfunction &#x2192; moderate ROS that promote proliferation/survival (pro-metastatic). Complex III dysfunction &#x2192; higher ROS and more severe oxidative stress. Complex IV/V defects &#x2192; ATP reduction and different downstream effects.</td>
<td valign="middle" align="left">ND (Complex I) mutations in CRC are specifically implicated in generating a pro-survival ROS milieu that can drive metastasis, particularly when combined with increased mtDNA/OXPHOS reliance in CRC cells.</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B163">163</xref>, <xref ref-type="bibr" rid="B164">164</xref>) (<xref ref-type="bibr" rid="B165">165</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ND gene mutations and, their experimentally observed associations with metastasis (including NSCLC and colorectal cancer), proposed mechanisms, and how specific mtDNA changes contribute to CRC metastasis. aa: amino acid.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>By selected SNVs and SNPs across ND genes, Nobuko Koshikawa et&#xa0;al. (<xref ref-type="bibr" rid="B118">118</xref>) described a profound interlink with distant metastasis in NSCLC and colon cancer. However, this association is based on presumed pathogenicity and requires confirmation by examining each mutation&#x2019;s impact on complex I activity as well as the production of ROS. Pathogenic ND gene mutations likely influence metastasis across various cancer types. Complex I subunits are encoded by 44 genes confined to mtDNA and nuclear DNA, with mutations in 21 nuclear genes decreasing complex I activity, potentially affecting metastasis. Establishing a novel experimental system to study the impact of ND gene mutations on metastasis in various cancer cells is essential, aiming for advanced therapies and precise cancer prognosis pf CRCs (<xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B119">119</xref>, <xref ref-type="bibr" rid="B148">148</xref>, <xref ref-type="bibr" rid="B149">149</xref>, <xref ref-type="bibr" rid="B166">166</xref>, <xref ref-type="bibr" rid="B167">167</xref>).</p>
<p>In summary, according to these reports, ND gene mutations impact distant metastasis in NSCLC and colon cancer. ND6 13885insC mutation enhances metastasis by reprogramming energy metabolism, upregulating metastasis-related genes, and enhancing tumor angiogenesis (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). A previous report identified pathogenic ND gene SNVs and SNPs associated with distant metastasis. Future studies warranted to provide insight into ND gene mutations&#x2019; role in cancer metastasis and suggests novel therapeutic targets (<xref ref-type="bibr" rid="B118">118</xref>).</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Mitoepigenetics and metastatic colorectal cancer: advancing investigations</title>
<p>Mitochondria, pivotal for cellular metabolites and energy, frequently exhibit varied dysfunctions in cancers, including CRC. Long-established Warburg effect characterizes cancer cells, emphasizing glycolysis and oxidative metabolism dysregulation, yet CRC uniquely relies on mitochondrial OXPHOS as its primary energy source. In addition, extent of mitochondria in CRC tissues surpasses that in normal colon mucosa, underscoring mitochondria&#x2019;s critical, albeit unclear, role in CRC progression (<xref ref-type="bibr" rid="B168">168</xref>, <xref ref-type="bibr" rid="B169">169</xref>).</p>
<p>Mitochondria possess their genome encoding 13 polypeptides crucial for electron transport chain and ATP synthase. Variations in mtDNA copy numbers correlate closely with various cancers: decreased in gastric, breast, hepatocellular, NSCLC, and renal cell carcinoma, yet increased in CRC (<xref ref-type="bibr" rid="B170">170</xref>&#x2013;<xref ref-type="bibr" rid="B174">174</xref>). Recent studies implicate mtDNA depletion via TFAM mutation in fostering tumor progression as well as cisplatin resistance in microsatellite instability (MSI) CRC, with implications yet to be fully explored in microsatellite stable CRC (<xref ref-type="bibr" rid="B175">175</xref>) (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). This study systematically explores how altered mtDNA copy numbers functionally affect MSS CRC progression, demonstrating that increased mtDNA promotes cell survival and metastasis via enhanced mitochondrial OXPHOS, suggesting novel therapeutic targets (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B176">176</xref>&#x2013;<xref ref-type="bibr" rid="B180">180</xref>).</p>
<p>OXPHOS predominantly generates cellular energy, with mtDNA encoding ETC components crucial for its function (<xref ref-type="bibr" rid="B187">187</xref>). CRC studies reveal increased mtDNA copy numbers, notably in early stages, implicating mtDNA in CRC initiation (<xref ref-type="bibr" rid="B181">181</xref>&#x2013;<xref ref-type="bibr" rid="B183">183</xref>). A few other reports demonstrating that elevated mtDNA promotes MSS CRC cell survival, proliferation, and metastasis <italic>in vitro</italic> and <italic>in vivo</italic> (<xref ref-type="bibr" rid="B184">184</xref>&#x2013;<xref ref-type="bibr" rid="B186">186</xref>). This contrasts with MSI CRC, where lower mtDNA levels correlate with increased glycolysis and chemoresistance (<xref ref-type="bibr" rid="B175">175</xref>). Differential mtDNA content may underpin these metabolic differences, necessitating further mechanistic studies (<xref ref-type="bibr" rid="B188">188</xref>) (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>Mitochondria&#x2019;s modest 13-gene genome contrasts with over 2000 proteins influencing diverse functions, including miRNAs originating from mitochondria (mitomiRs), regulating nuclear mRNA translation and cell phenotype (<xref ref-type="bibr" rid="B189">189</xref>&#x2013;<xref ref-type="bibr" rid="B194">194</xref>). Xiacheng Sun et&#xa0;al. (<xref ref-type="bibr" rid="B30">30</xref>) described decreased mitochondrial COXIV-1 in CRC adenomas, crucial for mitochondrial-encoded complex IV and V regulation, affecting oxidative phosphorylation and ATP production (<xref ref-type="bibr" rid="B195">195</xref>, <xref ref-type="bibr" rid="B196">196</xref>). Notably, miR-210 targets COX10, linking mitomiRs to CRC pathogenesis (<xref ref-type="bibr" rid="B197">197</xref>). Understanding these pathways aids in clarifying colorectal adenomatous polyps&#x2019; clinicopathological characteristics and early detection strategies (<xref ref-type="bibr" rid="B198">198</xref>). For instance, CRC pathogenesis involves mutations in tumor suppressor (e.g., P53, APC) and oncogenes (e.g., KRAS), regulated post-transcriptionally by miRNAs, influencing diverse cancer pathways (<xref ref-type="bibr" rid="B197">197</xref>, <xref ref-type="bibr" rid="B199">199</xref>&#x2013;<xref ref-type="bibr" rid="B204">204</xref>). MitomiRs, such as miR-21, miR-210, are implicated in ROS regulation, critical in CRC due to mitochondrial ROS production during oxidative phosphorylation (<xref ref-type="bibr" rid="B205">205</xref>&#x2013;<xref ref-type="bibr" rid="B207">207</xref>). Mitochondrial gene expression changes during adenoma-carcinoma progression, with age-related accumulation of dysfunctional mitochondria contributing to CRC pathogenesis (<xref ref-type="bibr" rid="B206">206</xref>, <xref ref-type="bibr" rid="B207">207</xref>). Studying mitomiRs (e.g., miR-24, miR-181, miR-210, miR-21, miR-378) across colorectal adenomatous polyps reveals varied expression patterns correlating with tumor architecture and progression, suggesting their regulatory roles in mitochondrial functional pathways (<xref ref-type="bibr" rid="B201">201</xref>, <xref ref-type="bibr" rid="B204">204</xref>, <xref ref-type="bibr" rid="B208">208</xref>&#x2013;<xref ref-type="bibr" rid="B211">211</xref>).</p>
<p>In conclusion, mitoepigenetic studies demonstrate mitochondrial dynamics&#x2019; pivotal role in CRC evolution from adenomatous polyps to adenocarcinomas, urging further investigation into these intricate pathways for therapeutic and diagnostic advancements.</p>
<p>The impact of demethylation of D-loop region of mtDNA on mtDNA copy number, cell cycle progression, apoptosis, and cell proliferation in CRC remains uncertain (<xref ref-type="bibr" rid="B212">212</xref>). For instance, 5-AZA acts by irreversibly inhibiting DNA methyltransferases once incorporated into DNA, a mechanism predominantly utilized in treating hematologic malignancies and potentially applicable to other cancer types, including CRC (<xref ref-type="bibr" rid="B213">213</xref>). Numerous studies have indicated that 5-AZA can lead to reduced cell viability and a higher apoptotic rate in different CRC cell lines (<xref ref-type="bibr" rid="B214">214</xref>&#x2013;<xref ref-type="bibr" rid="B219">219</xref>). Variations in results across studies might be attributed to differences in incubation periods and 5-AZA concentrations. For instance, Mossman et&#xa0;al. observed cell death in SW480 cells after a 72-hour incubation with 15 &#xb5;M 5-AZA, whereas HCT116 cells did not exhibit cell death under the same conditions (<xref ref-type="bibr" rid="B218">218</xref>). Furthermore, zebularine, a similar DNA methyltransferase inhibitor, was found to stimulate Colo-205 cell growth at concentrations above 45 &#xb5;M (<xref ref-type="bibr" rid="B218">218</xref>). Consequently, relatively minimal concentrations of 5-AZA (up to 10 &#xb5;M) used for 24 hours in this study which has not induced a strong inhibition on CRC cells (<xref ref-type="bibr" rid="B219">219</xref>). Treatment of Colo-205 and Lovo colorectal cancer cells with 5 &#xb5;M 5-AZA revealed notable alterations in mitochondrial and cell cycle dynamics. In Colo-205 cells, increased cell viability, delayed G0/G1 phase progression, minimal apoptosis, and elevated mitochondrial DNA (mtDNA) copy numbers were observed, while Lovo cells exhibited enhanced proliferation and mtDNA content following similar treatment. These findings suggest that elevated mtDNA levels may drive metabolic adaptation, providing the additional energy required for accelerated proliferation. Consistent with previous studies showing that mtDNA depletion impairs growth in breast and glioblastoma cells (<xref ref-type="bibr" rid="B220">220</xref>&#x2013;<xref ref-type="bibr" rid="B223">223</xref>), the current observations imply that mtDNA abundance is closely linked to proliferative capacity. The extended G0/G1 phase in Colo-205 cells likely reflects an increased demand for mtDNA synthesis preceding genomic DNA replication, supporting the hypothesis that mitochondrial biogenesis and replication are tightly coordinated with cell cycle progression. Differences between Colo-205 and Lovo responses further highlight cell line-specific regulatory mechanisms governing mito-nuclear crosstalk during chemotherapeutic stress (<xref ref-type="bibr" rid="B220">220</xref>&#x2013;<xref ref-type="bibr" rid="B223">223</xref>).</p>
<p>While mtDNA variation and demethylating agent studies in CRC offer intriguing mechanistic insights, it is critical to frame these findings accurately and avoid over-interpretation. For example, although a large Chinese cohort found that mtDNA haplogroup M7 was associated with worse prognosis in CRC in a northern Chinese population, this remains a population-specific finding and does not establish mtDNA haplogroups as reliable predictive or causative biomarkers across global CRC cohorts (<xref ref-type="bibr" rid="B212">212</xref>, <xref ref-type="bibr" rid="B224">224</xref>). Likewise, studies of ND-gene mutations (such as ND6 13885insC) and OXPHOS upregulation in model systems demonstrate potential functional effects but lack evidence in large human metastatic CRC datasets to support the claim that these mutations drive metastasis rather than being passenger or adaptive events. In relation to epigenetic therapy, while 5-azacytidine (5-AZA) has been shown to alter mtDNA D-loop methylation and copy number in certain CRC cell lines (e.g., Colo-205) induced by treatment, this effect is highly cell line-specific and does not yet translate into robust clinical data addressing chemoresistance in CRC (<xref ref-type="bibr" rid="B212">212</xref>, <xref ref-type="bibr" rid="B224">224</xref>).</p>
<p>D-loop encompassing 1122 base pairs, is critical for initiating mtDNA transcription and replication (<xref ref-type="bibr" rid="B225">225</xref>). While the role of D-loop methylation in mtDNA function is established, its relationship with mtDNA copy number is less understood. Various factors, including TFAM, that interacts with mtDNA and promotes transcription through the formation of initiation complex, and it can influence mtDNA copy number (<xref ref-type="bibr" rid="B226">226</xref>). Demethylation of these sites result in the enhanced number of mtDNA copy number, consistent with previous research linking demethylated D-loop regions to higher mtDNA copy numbers in CRC (<xref ref-type="bibr" rid="B227">227</xref>). Demethylated CpG sites might enhance mtDNA replication by facilitating TFAM binding and mtDNA transcription initiation, although further research is necessary to confirm this hypothesis (<xref ref-type="bibr" rid="B228">228</xref>) (<xref ref-type="bibr" rid="B212">212</xref>). Overall, demethylation across specific CpG sites in D-loop promoter may result in a higher mtDNA copy number in CRC, influencing biological behaviors such as enhanced cell proliferation and modulation of cell (<xref ref-type="bibr" rid="B212">212</xref>).</p>
<p>In conclusion, the demethylation of specific CpG sites in D-loop promoter may increase the overall copy number of mtDNA in CRC, leading to increased cell proliferation, reduced apoptosis, and a delay in the G0/G1 phase. Thus, DNA methylation influence at D-loop region of mtDNA on the expression of rate-limiting enzymes, but their impact on OXPHOS in CRC remains unclear. Thus, the quantitative changes in ND2 expression as well as methylation across D-loop at the time of CRC progression, along with potential correlations to clinicopathological stages (<xref ref-type="bibr" rid="B106">106</xref>). In a study by Shi Feng et&#xa0;al, tumor and noncancerous tissues were subjected to surgical resection from 44 patients diagnosed with CRC. Authors evaluated Cox IV and ND2 expressions in all the specimens obtained from these patients. Correlating these findings with clinicopathological data revealed an association between changes in ND2 expression and clinicopathological stage of CRC (<xref ref-type="bibr" rid="B106">106</xref>). The increase in ND2 expression was evident as early as stage I and continued to rise through stages I to IV. Additionally, the proportion of unmethylated D-loop enhanced in tumor as well as non-cancerous tissues, paralleling the rise in ND2 expression (<xref ref-type="bibr" rid="B106">106</xref>) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). Results indicated a higher ND2 expression in tumor tissues than non-cancerous tissues. D-loop region was methylated in 79.5% of non-cancerous tissues, while this percentage dropped to 11.4% in tumor tissues (<xref ref-type="bibr" rid="B106">106</xref>). This demethylation likely enhances mitochondrial function, contributing to the metabolic reprogramming observed in cancer cells (<xref ref-type="bibr" rid="B106">106</xref>).</p>
<p>Changes in mtDNA copy numbers are recognized as a crucial hallmark of cancers but the quantitative changes in mtDNA should be explored to vividly examine the initiation or progression of CRC (<xref ref-type="bibr" rid="B182">182</xref>). Shi Feng et&#xa0;al., 2011 (<xref ref-type="bibr" rid="B182">182</xref>) investigated quantitative alterations in mtDNA copy number during CRC initiation and progression and explores potential correlations with clinicopathological stages. Authors in this study surgically resected both tumor tissues as well as noncancerous tissues from 24 colon cancer patients and 20 rectal cancer patients respectively. mtDNA copy numbers were ascertained and the results of this study described the significant raise in mtDNA copy numbers in the CRC tissues when compared to noncancerous tissues (<xref ref-type="bibr" rid="B182">182</xref>). Furthermore, correlation with clinicopathological data revealed that changes in mtDNA copy number were associated with clinicopathological stage of CRC, with a marked increase in stages I and II (<xref ref-type="bibr" rid="B182">182</xref>). No significant association with gender was observed. Increased mtDNA content could enhance cellular energy production and biosynthetic capacity, supporting rapid cell proliferation and tumor growth. These findings suggest the significance of mtDNA copy number for the initiation as well as progression of CRC especially in the early stages (<xref ref-type="bibr" rid="B182">182</xref>).</p>
<p>The role of D-loop hypomethylation in regulating mtDNA copy number as well as ND2 expression in CRC remains unclear (<xref ref-type="bibr" rid="B227">227</xref>). This study investigates the association between D-loop methylation status, mtDNA copy number, and ND2 expression in 65 CRC tissue samples and the surrounding non-cancerous tissues. Additionally, a demethylation experiment conducted on Caco-2 CRC cell line using 5-Aza (<xref ref-type="bibr" rid="B227">227</xref>). Results of this study (<xref ref-type="bibr" rid="B227">227</xref>) described that typical decline in methylation across D loop in CRC tissues when compared to non-cancerous tissues was evident which characterized by the decline in D-loop methylation in clinicopathological stages III and IV than the stages I and II (<xref ref-type="bibr" rid="B227">227</xref>). According to this report, the demethylation of D-loop has resulted in the higher mtDNA copy number and ND2 levels. In addition, 5-AZA treatment increased mtDNA copy number as well as ND2 expression in Caco-2 cells (<xref ref-type="bibr" rid="B227">227</xref>). Future reports should describe the function of D-loop demethylation in CRC by exploring how D-loop demethylation influences mtDNA replication and ND2 gene expression (<xref ref-type="bibr" rid="B227">227</xref>). It is crucial to assess the efficacy of targeting D-loop methylation with demethylating agents or other epigenetic modulators in chemoresistant CRC treatment. By advancing the exploration of the epigenetic regulation of mtDNA in colorectal cancer, these studies could explore the novel epigenetic-based therapeutic strategies to ameliorate CRC or chemoresistant CRC (<xref ref-type="bibr" rid="B227">227</xref>).</p>
<p>It is crucial to ascertain the impact of demethylation in D-loop of mtDNA on mtDNA copy number and subsequent effect on the CRC cell proliferation, cell cycle. A previous study by Huan Tong et&#xa0;al. (<xref ref-type="bibr" rid="B212">212</xref>) described the higher mtDNA copy number in Colo-205 and Lovo cells upon 5-AZA treatment and the rate of cell cycle and apoptosis is higher upon this treatment. In these cell lines, enhanced methylation was evident at 4<sup>th</sup> and 6<sup>th</sup>/7<sup>th</sup> CpG regions of D-loop which was mitigated upon 5-AZA treatment. However, the cell cycle and mtDNA copy number has not changed upon 5-AZA treatment in the CRC cell lines include HCT116, SW480, LS-174T, and HT-29 cells (<xref ref-type="bibr" rid="B212">212</xref>). Furthermore, authors have not observed any alterations in demethylation at 4<sup>th</sup> and 6<sup>th</sup>/7<sup>th</sup> CpG regions of D-loop in these CRC cell lines upon 5-AZA treatment (<xref ref-type="bibr" rid="B212">212</xref>). Further research should explore the molecular mechanisms by which D-loop demethylation influences mtDNA replication and gene expression, including the role of transcription factors like TFAM in this process. It is crucial to explore the interplay between nuclear and mitochondrial epigenetic regulation and its impact on cancer metabolism, progression, and resistance to therapy in CRC (<xref ref-type="bibr" rid="B212">212</xref>). For instance, TFAM can regulate both mtDNA transcription and replication. Elevated TFAM expression has been observed in drug-resistant hepatocellular carcinoma cells, and its inhibition has been shown to restore the chemosensitivity of these resistant cells, suggesting a potential therapeutic target for overcoming chemoresistance (<xref ref-type="bibr" rid="B229">229</xref>, <xref ref-type="bibr" rid="B230">230</xref>). <italic>In vivo</italic> model of Kras-driven lung cancer, deletion of the TFAM gene results in compromised mitochondrial function, leading to a reduced incidence of tumors (<xref ref-type="bibr" rid="B231">231</xref>). In CRC cells, there is an increase in mitochondrial divalent uptake that triggers the activation of phosphodiesterase 2, which in turn inhibits mitochondrial protein kinase A. This inhibition stabilizes the accumulation of TFAM within the mitochondria, fostering cell proliferation (<xref ref-type="bibr" rid="B232">232</xref>). Similarly, enhanced mitochondrial calcium uptake has been linked to upregulated TFAM expression, which fostering mitochondrial biogenesis and increases the production of mitochondrial ROS. This cascade activates the NF-&#x3ba;B signaling, thereby accelerating the progression of CRC (<xref ref-type="bibr" rid="B233">233</xref>).</p>
<p>Mutations in TFAM have been implicated in promoting increased cell proliferation and enhanced tumorigenic potential in xenograft models. Notably, silencing TFAM in CRC cells induces metabolic reprogramming (<xref ref-type="bibr" rid="B229">229</xref>, <xref ref-type="bibr" rid="B230">230</xref>). This silencing disrupts the Wnt/&#x3b2;-catenin signaling pathway via an increase in &#x3b1;-ketoglutarate levels, ultimately inhibiting tumor initiation and progression (<xref ref-type="bibr" rid="B234">234</xref>, <xref ref-type="bibr" rid="B235">235</xref>). MTERFs (mitochondrial transcription termination factors) comprise a protein family that, despite sharing structural homology, perform diverse functions crucial to mitochondrial homeostasis. Disruption of MTERF activity has been shown to impair mitochondrial function, leading to mitochondrial damage and contributing to the pathogenesis of various mitochondrial-related diseases (<xref ref-type="bibr" rid="B236">236</xref>&#x2013;<xref ref-type="bibr" rid="B238">238</xref>). The precise relationship between MTERF proteins and processes such as OXPHOS, cell proliferation, and tumorigenesis remains incompletely demonstrated in proliferating CRC cells. However, research has indicated that MTERF1 can modulate mitochondrial gene expression and OXPHOS levels. In HeLa cells, overexpression of MTERF1 has been shown to enhance mitochondrial gene transcription, increase OXPHOS activity, and elevate cyclin D1 levels, which promotes cell proliferation. In contrast, MTERF1 knockdown leads to diminished ATP generation, lower cyclin D1 expression, as well as cell cycle arrest (<xref ref-type="bibr" rid="B239">239</xref>). Upregulated expression of MTERF1 in CRC cells could cause higher cell division and enhance migration and invasion of cancer cells to form tumors. Mechanistically, MTERF1 could control AMPK/mTOR pathway, which influences mtDNA replication, transcription, subsequently modulate protein synthesis (<xref ref-type="bibr" rid="B229">229</xref>). Additionally, MTERF1 overexpression reduces ROS production, further enhancing mitochondrial activity for OXPHOS and contributing to cancer progression (<xref ref-type="bibr" rid="B229">229</xref>, <xref ref-type="bibr" rid="B240">240</xref>) (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). Moreover, the inhibition of TFAM expression facilitates the release of mtDNA into cytoplasm, and activates signaling pathways to modulate oncogenesis and it is crucial to develop novel small-molecule compounds to target mitochondrial RNA polymerase (POLRMT) to block mitochondrial transcription, thereby selectively blocking OXPHOS and curbing tumor cell proliferation in chemoresistant metastatic CRCs. These findings prompt questions regarding the role of oncogenes in tumorigenesis in terms of association with mtDNA mutations or SNPs and whether the combined effects of mtDNA as well as nuclear DNA quantitative trait loci might explain the variability in cancer susceptibility and metastatic potential across different individuals. mtDNA mutations exhibit variability in both frequency and location among various cancers, with prostate, stomach, and colorectal cancers showing the greater mutation rates. Given this&#xa0;variability, it is crucial to investigate the potential of targeting D-loop methylation through the use of demethylating agents or other epigenetic modulators as a therapeutic strategy, particularly in chemoresistant colorectal cancer. By deepening our understanding of the epigenetic regulation of mtDNA in CRC, these studies pave the way for the development of novel epigenetic-based therapies to combat CRC, including its chemoresistant forms.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Impact of mitochondrial DNA mutations and transcriptional inhibition on oxidative phosphorylation, CRC tumor cell dynamics, and epigenetic regulation. Mitochondrial DNA (mtDNA) mutations, alongside the impairment of mitochondrial transcription, lead to impaired OXPHOS, which consequently elevates reactive oxygen species (ROS) production. This ROS surge modulates critical signaling pathways, including MAPK/mTOR, other cell survival pathways like Akt thus influencing the proliferation of cancer cells. In this context, the silencing of mitochondrial transcription factor A (TFAM) triggers metabolic reprogramming within tumor cells, resulting in the release of alpha-ketoglutarate (&#x3b1;-KG). This metabolic shift can cause downregulation in &#x3b2;-catenin, thereby block stem cell signaling and attenuating oncogenic potential (<xref ref-type="bibr" rid="B229">229</xref>). Inhibition of TFAM expression promotes mtDNA release into the cytoplasm, activating oncogenic signaling and highlighting the potential of targeting mitochondrial RNA polymerase (POLRMT) to suppress OXPHOS and tumor proliferation in chemoresistant metastatic CRC. Furthermore, variability in mtDNA mutations and D-loop methylation across cancers elucidates the need to explore epigenetic modulation of mtDNA as a therapeutic strategy to overcome chemoresistance and improve colorectal cancer treatment outcomes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1623117-g002.tif">
<alt-text content-type="machine-generated">Diagram showing the molecular pathways involved in mitochondrial transcription and cell signaling in chemoresistant colorectal cancer (CRC) cells. It highlights interactions between mitochondrial DNA mutations, oxidative phosphorylation (OXPHOS), reactive oxygen species (ROS), and key proteins like TFB2M and MtERF1. Stress signals and metabolic programming affect cell survival and proliferation via pathways including AMPK/mTOR and NF-kB. Novel molecules are needed to block mitochondrial transcription and inhibit OXPHOS in CRC cells. The diagram depicts interactions with elements like ClpP, HIF1&#x3b1;, &#x3b2;-catenin, and cancer stem cell signaling.</alt-text>
</graphic></fig>
<p>MTERF3 has been recognized as an oncogene across multiple cancer types, with gene amplification and elevated expression of MTERF3 levels strongly correlating with poor overall survival rates in cancer patients (<xref ref-type="bibr" rid="B241">241</xref>). Its overexpression has been shown to promote tumorigenesis both <italic>in vitro</italic> and <italic>in vivo</italic>, and enhancing proportion of cells in S phase of the cell cycle, thereby accelerating proliferation (<xref ref-type="bibr" rid="B242">242</xref>). In CRC specifically, MTERF3 has been implicated in the upregulation of pro-inflammatory cytokines such as IL-6 as well as IL-11, that not only modulate tumor growth but also enhance resistance to radiotherapy (<xref ref-type="bibr" rid="B243">243</xref>). These findings described the oncogenic role of MTERF3 in promoting both tumor progression and therapeutic resistance (<xref ref-type="bibr" rid="B229">229</xref>). However, in-depth exploration is crucial to uncover the intricate molecular signaling by which TFAM and MTERF family members regulate mitochondrial function and influence metastasis and chemoresistance. Specifically, studies should focus on understanding how these proteins modulate mitochondrial biogenesis, energy production, and ROS signaling in different chemoresistant cancers including CRC (<xref ref-type="bibr" rid="B229">229</xref>). Given their pivotal role in mitochondrial regulation and cancer progression, TFAM and MTERFs hold promise as therapeutic targets. Preclinical studies exploring inhibitors or modulators of these proteins may yield novel treatment options for chemoresistant CRC (<xref ref-type="bibr" rid="B229">229</xref>). Furthermore, combining mitochondrial-targeted therapies with&#xa0;conventional cancer treatments like chemotherapy or radiotherapy could improve efficacy and overcome resistance. For example, TFAM or MTERF inhibitors could be used alongside traditional treatments to synergistically halt tumor growth and sensitize cells to therapeutic interventions. Future studies must focus on deciphering how mtDNA single nucleotide polymorphisms and interactions with nuclear DNA quantitative trait loci influence cancer susceptibility and metastatic behavior. Furthermore, targeting epigenetic modifications within the mitochondrial genome especially through D-loop demethylation or the application of epigenetic modulators represents a promising therapeutic strategy to reprogram mitochondrial function and overcome chemoresistance. Collectively, these insights reinforce the emerging paradigm that mitochondrial epigenetic regulation serves as a pivotal determinant of CRC progression and therapeutic response, providing a conceptual framework for developing next-generation mitochondrial-targeted and epigenetic-based therapies.</p>
</sec>
<sec id="s6">
<label>6</label>
<title>Integrative immunotherapeutic and metabolic strategies to overcome chemoresistance in metastatic colorectal cancer</title>
<p>Immunotherapy has emerged as a transformative approach in&#xa0;mCRC, yet its clinical efficacy remains largely confined to a limited subset of microsatellite instability-high (MSI-H) tumors. The majority of microsatellite-stable (MSS) mCRC cases continue to rely on combinations of chemotherapy with targeted pharmacotherapies such as anti-VEGF (e.g., bevacizumab) and anti-EGFR (e.g., cetuximab, panitumumab) drugs (<xref ref-type="bibr" rid="B33">33</xref>). Despite their established therapeutic benefit, both modalities are hampered by intrinsic and acquired resistance mechanisms that arise from tumor heterogeneity, dynamic clonal evolution, and metabolic adaptation.</p>
<p>Anti-VEGF therapy, a standard-of-care since 2004, effectively suppresses angiogenesis but lacks well-defined molecular predictors of responsiveness. Conversely, anti-EGFR therapy provides benefit only in RAS and BRAF wild-type patients, excluding approximately 60% of CRC cases due to mutation-driven intrinsic resistance (<xref ref-type="bibr" rid="B33">33</xref>,&#xa0;<xref ref-type="bibr" rid="B244">244</xref>). Even in responsive subgroups, selective pressure under&#xa0;anti-EGFR therapy rapidly fosters secondary mutations within the EGFR extracellular domain and downstream MAPK pathway components, conferring adaptive resistance (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B244">244</xref>). Longitudinal circulating tumor DNA (ctDNA) profiling now enables noninvasive detection of these emergent mutations, uncovering a dynamic interplay between drug exposure, clonal selection, and treatment relapse. Moreover, 8q chromosomal gains, frequently encompassing MYC amplification, have been correlated with resistance to EGFR blockade, supporting the rationale for combined EGFR and pan-KRAS inhibition as a next-generation therapeutic strategy (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B244">244</xref>) (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Integrated overview of molecular modulators, metabolic and immunotherapeutic strategies to overcome chemoresistance in metastatic colorectal cancer (mCRC).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Protein/Gene</th>
<th valign="middle" align="left">Modulation in signaling pertinent to CRC</th>
<th valign="middle" align="left">Metabolic strategy to overcome chemoresistance</th>
<th valign="middle" align="left">Novel immunotherapeutic strategy to overcome metastatic chemoresistant CRC</th>
<th valign="middle" align="left">Refs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">PIK3CA, APC, MAP2K4, SMAD4, STK11, MAP3K1</td>
<td valign="middle" align="left">Mutation-driven activation of PI3K/MAPK/TGF-&#x3b2; pathways promoting proliferation and drug resistance</td>
<td valign="middle" align="left">Targeting mitochondrial OXPHOS and metabolic rewiring to reduce clonal adaptation</td>
<td valign="middle" align="left">Combined EGFR and pan-KRAS inhibition to overcome adaptive signaling resistance</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B32">32</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">KRAS/NRAS/BRAF</td>
<td valign="middle" align="left">Constitutive MAPK activation conferring intrinsic resistance to anti-EGFR therapy</td>
<td valign="middle" align="left">MEK inhibitor (trametinib) plus 5-FU enhances sensitivity by suppressing MAPK pathway</td>
<td valign="middle" align="left">Dual EGFR + KRAS inhibition or adaptive immunotherapy combinations to delay resistance</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B33">33</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">EGFR/MYC (8q gain)</td>
<td valign="middle" align="left">Ligand-driven MAPK activation; MYC amplification enhances survival and resistance</td>
<td valign="middle" align="left">Modulating EGFR&#x2013;MYC signaling axis through metabolic stress induction</td>
<td valign="middle" align="left">Development of EGFR-ligand blockers and anti-EGFR/pan-KRAS dual targeting</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B33">33</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">TP53RK</td>
<td valign="middle" align="left">Regulates DNA replication fidelity and cell-cycle checkpoint signaling</td>
<td valign="middle" align="left">CDC7 inhibitor (XL413) induces replication stress and apoptosis</td>
<td valign="middle" align="left">Exploitation of synthetic lethal interactions with DNA repair&#x2013;modulating immunotherapies</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B244">244</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Drp1/PINK1/Parkin</td>
<td valign="middle" align="left">Mitochondrial fission&#x2013;fusion control and mitophagy promoting chemoresistance</td>
<td valign="middle" align="left">Inhibition of mitophagy to trigger mitochondrial apoptosis and re-sensitize tumor cells</td>
<td valign="middle" align="left">Integration with immune checkpoint blockade or metabolic adjuvants to enhance T-cell killing</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">SLC7A11</td>
<td valign="middle" align="left">Ferroptosis regulator maintaining redox balance and promoting drug resistance</td>
<td valign="middle" align="left">Erastin-mediated ferroptosis induction increases oxaliplatin sensitivity</td>
<td valign="middle" align="left">Combination with immune checkpoint inhibitors to enhance immunogenic cell death</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Cabozantinib (c-MET)/Durvalumab (PD-L1)</td>
<td valign="middle" align="left">Anti-angiogenic and immune-modulatory effects reshape TME</td>
<td valign="middle" align="left">Metabolic normalization and immune microenvironment restoration</td>
<td valign="middle" align="left">Dual inhibition enhances immune infiltration and T-cell activation in MSS CRC</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Nivolumab + Regorafenib</td>
<td valign="middle" align="left">Enhances IFN-&#x3b3; pathway and immune infiltration</td>
<td valign="middle" align="left">Modulates tumor metabolism and vascular remodeling</td>
<td valign="middle" align="left">Restores cytotoxic T-cell function, particularly in non-liver metastasis CRC</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">RNF4/PDHA1</td>
<td valign="middle" align="left">RNF4-mediated ubiquitination degrades PDHA1, promoting glycolysis and metastasis</td>
<td valign="middle" align="left">PDHA1 stabilization reverses Warburg metabolism and limits tumor growth</td>
<td valign="middle" align="left">Combination with metabolic checkpoint inhibitors enhances immune reactivation</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B246">246</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">SALL1 (cg13755795 methylation)</td>
<td valign="middle" align="left">Aberrant promoter methylation drives metastatic gene silencing</td>
<td valign="middle" align="left">Demethylation or epigenetic reprogramming to restore tumor suppressive transcription</td>
<td valign="middle" align="left">Integration with epigenetic adjuvants to enhance immune recognition</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B245">245</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">RNF43/RNF114</td>
<td valign="middle" align="left">Ubiquitin ligases altering Wnt and NF-&#x3ba;B pathways in CRC</td>
<td valign="middle" align="left">Metabolic suppression through targeted inhibition of RNF114-mediated oncogenic signaling</td>
<td valign="middle" align="left">Use of immunomodulatory agents that target ubiquitin signaling pathways</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B36">36</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Wnt5a/HIF2/EREG</td>
<td valign="middle" align="left">Hypoxia-induced fibroblast signaling sustaining tumor progression</td>
<td valign="middle" align="left">Targeting hypoxia and fibroblast activation to restore angiogenic balance</td>
<td valign="middle" align="left">Blockade of Wnt5a-InfFib axis to enhance immune accessibility and CAR-T efficacy</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B37">37</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">METTL3/YTHDC1/NRXN3</td>
<td valign="middle" align="left">m6A-dependent mRNA stabilization regulating metastatic adaptation</td>
<td valign="middle" align="left">Targeting m6A writers/readers to block metastasis-related transcripts</td>
<td valign="middle" align="left">m6A epigenetic therapy integration with immune checkpoint inhibitors</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B38">38</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">GNG2</td>
<td valign="middle" align="left">Suppresses metastasis signaling cascades, especially to the brain</td>
<td valign="middle" align="left">Enhancing mitochondrial homeostasis and reducing metastatic migration</td>
<td valign="middle" align="left">Potential biomarker for anti-metastatic immunotherapy</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B247">247</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">FSTL3/HIF1&#x3b1;</td>
<td valign="middle" align="left">FSTL3 overexpression stabilizes HIF1&#x3b1; to promote angiogenesis and metastasis</td>
<td valign="middle" align="left">HIF1&#x3b1; inhibitor (KC7F2) reverses FSTL3 oncogenic effects</td>
<td valign="middle" align="left">Combining HIF1&#x3b1; blockade with immune activation to restore anti-tumor immunity</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B248">248</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">MitoNIDs (Mitochondria-targeted nanoinducers)</td>
<td valign="middle" align="left">Disrupt mitochondrial metabolism and redox balance</td>
<td valign="middle" align="left">Induce selective mitochondrial dysfunction in tumor cells</td>
<td valign="middle" align="left">Potentiate CAR-T, CD8<sup>+</sup> T cells, and mRNA vaccine efficacy in MSS CRC</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Expanding beyond receptor-targeted resistance, novel studies have implicated TP53RK as a critical regulator of replication stress tolerance. Its overexpression sensitizes CRC cells to CDC7 inhibition, suggesting a synthetic-lethal vulnerability exploitable through replication checkpoint modulation (<xref ref-type="bibr" rid="B244">244</xref>). Similarly, mitochondrial dynamics have been recognized as central to therapeutic resistance, wherein the PINK1&#x2013;Parkin&#x2013;Drp1 axis preserves mitochondrial integrity under chemotherapeutic stress. Hyperactivation of Drp1-mediated fission promotes mitophagy and survival, while its inhibition re-sensitizes CRC cells to apoptosis, positioning mitochondrial quality control as a viable metabolic checkpoint for combination therapy (<xref ref-type="bibr" rid="B244">244</xref>).</p>
<p>Recent preclinical and translational advances have further illuminated the therapeutic promise of integrating targeted inhibitors, metabolic modulators, and immunotherapies. The MEK inhibitor trametinib, when combined with 5-fluorouracil, demonstrates synergistic suppression of MAPK signaling and enhanced neoadjuvant chemoradiotherapy response. Dual blockade strategies such as cabozantinib (anti-c-MET) plus durvalumab (anti-PD-L1) have shown activity in MSS CRC by concurrently suppressing angiogenesis and reprogramming the tumor immune microenvironment. Moreover, nivolumab&#x2013;regorafenib co-administration augments T-cell infiltration, particularly benefiting patients without hepatic metastases.</p>
<p>Emerging ferroptosis-based interventions are also redefining metabolic-immune synergy. The SLC7A11 inhibitor erastin enhances oxaliplatin efficacy through iron-dependent oxidative stress, reversing chemoresistance in preclinical CRC models (<xref ref-type="bibr" rid="B27">27</xref>). Complementary innovations in nanotechnology have enabled mitochondrial-targeted nanoinducers (mitoNIDs) that disrupt redox balance and potentiate the activity of CAR-T and CD8<sup>+</sup> T cells, offering new hope for immunotherapy-refractory MSS CRC (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>At the epigenetic interface, SALL1 promoter methylation and cg13755795 site hypermethylation have been identified as prognostic biomarkers distinguishing CRC from its metastatic counterpart, highlighting the intertwined influence of mitochondrial metabolism and epigenetic regulation in immune modulation (<xref ref-type="bibr" rid="B245">245</xref>). Furthermore, RNF4-mediated ubiquitination of PDHA1, a key enzyme bridging glycolysis and the TCA cycle, drives metabolic reprogramming, proliferation, and metastasis linking proteostasis to energy metabolism and chemoresistance (<xref ref-type="bibr" rid="B246">246</xref>) (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>).</p>
<p>Additional molecular mediators, including GNG2, a tumor suppressor limiting brain metastasis and FSTL3, which promotes tumor progression via HIF1&#x3b1;-dependent pathways, have emerged as actionable biomarkers for metastatic control (<xref ref-type="bibr" rid="B247">247</xref>, <xref ref-type="bibr" rid="B248">248</xref>) (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>). Pharmacological inhibition of HIF1&#x3b1; using KC7F2 effectively suppresses FSTL3-driven metastasis, restoring tissue integrity in xenograft and tail-vein models. Collectively, these discoveries delineate an evolving paradigm in mCRC therapy as one that integrates immunomodulation, metabolic disruption, mitochondrial targeting, and epigenetic reprogramming. Such multimodal strategies transcend traditional cytotoxic approaches by simultaneously dismantling tumor survival networks, curbing adaptive resistance, and reactivating antitumor immunity. The convergence of multi-omic profiling, ctDNA-based precision monitoring, and nanotechnology-driven delivery systems is thus redefining the next frontier of precision immunoepigenetic therapy for chemoresistant metastatic colorectal cancer.</p>
<sec id="s6_1">
<label>6.1</label>
<title>Epigenetic regulation of immune checkpoints and TME in colorectal cancer</title>
<p>Epigenetic mechanisms play a foundational role in shaping the tumor immune microenvironment (TIME) in CRC, influencing both tumor-intrinsic and immune-cell&#x2013;specific transcriptional programs (<xref ref-type="bibr" rid="B249">249</xref>). Aberrations in DNA methylation, histone modifications, and chromatin remodeling affect antigen presentation, immune checkpoint expression, and interferon signaling, thereby impacting tumour immunogenicity and immune-evasion capacity (<xref ref-type="bibr" rid="B249">249</xref>). For example, hyper-methylation or histone deacetylation of promoters linked to PD-L1, CTLA-4 or T-cell exhaustion genes have been demonstrated in models of CRC, facilitating immune escape (<xref ref-type="bibr" rid="B249">249</xref>). Moreover, microsatellite-stable (MSS) CRCs, which typically show poor immunotherapy response, frequently display epigenetic silencing of chemokine genes and reduced effector T-cell infiltration helping to explain the &#x201c;cold tumour&#x201d; microenvironment (<xref ref-type="bibr" rid="B249">249</xref>).</p>
<p>Recent advances reveal that epigenetic therapies can reprogram the immune landscape of CRC, sensitizing tumors to immunotherapy. DNA methyltransferase inhibitors (DNMTis) and histone deacetylase inhibitors (HDACis) (<xref ref-type="bibr" rid="B250">250</xref>) have been shown to restore expression of the antigen presentation machinery, activate endogenous retroviruses, and evoke type I interferon responses collectively converting &#x201c;cold&#x201d; MSS tumors into more immunogenic phenotypes (<xref ref-type="bibr" rid="B250">250</xref>). In parallel, activation of the cGAS&#x2013;STING pathway, a key mediator of innate immune sensing has been shown to be epigenetically suppressed in CRC, and re-activation of this pathway through demethylating agents enhances cytotoxic T-cell infiltration and limits metastasis. Collectively, these data support a paradigm in which epigenetic modulation of immune signaling can overcome intrinsic resistance in CRC (<xref ref-type="bibr" rid="B250">250</xref>).</p>
<p>Emerging evidence further indicates that epigenetic remodeling directly governs the expression and functional state of immune checkpoint pathways in both tumour and immune cells (<xref ref-type="bibr" rid="B251">251</xref>). For example, in CRC, tumour-infiltrating lymphocytes (TILs) display altered DNA methylation and histone-modification profiles at loci encoding PD-1, TIM-3 and TOX2, thereby promoting T-cell exhaustion and reducing checkpoint-blockade responsiveness (<xref ref-type="bibr" rid="B251">251</xref>). Moreover, epigenetic reprogramming of cancer stem-like cells (CSCs) enhances immune resistance through metabolic-epigenetic crosstalk that stabilizes PD-L1 expression and suppresses antigen presentation. Understanding how tumour epigenome dynamics and immune exhaustion co-evolve is thus critical to targeting CRC therapy resistance (<xref ref-type="bibr" rid="B251">251</xref>). From a translational perspective, integrating epigenetic and immunologic paradigms offers a compelling framework for developing next-generation CRC therapies (<xref ref-type="bibr" rid="B251">251</xref>, <xref ref-type="bibr" rid="B252">252</xref>). Combined use of epigenetic modulators with immune-checkpoint inhibitors offers a rational strategy to overcome immune resistance in MSS CRC, which comprises the majority of clinical cases. Furthermore, epigenetic biomarkers such as chemokine-gene methylation signatures or histone-modification profiles hold promise as predictive indicators of immunotherapy response (<xref ref-type="bibr" rid="B251">251</xref>, <xref ref-type="bibr" rid="B252">252</xref>). Given that current checkpoint-inhibitor therapies are principally effective in MSI-high CRC, while MSS cases remain refractory, we propose that epigenetic immune-priming strategies are urgently needed to bridge this gap. Future clinical trials in CRC should integrate multi-omic immune-epigenetic profiling to uncover actionable pathways for personalized therapeutic development (<xref ref-type="bibr" rid="B251">251</xref>, <xref ref-type="bibr" rid="B252">252</xref>).</p>
</sec>
<sec id="s6_2">
<label>6.2</label>
<title>Epigenetic regulation of PD-1 blockade response, TME reprogramming, and immunotherapy biomarkers in MSS colorectal cancer</title>
<sec id="s6_2_1">
<label>6.2.1</label>
<title>PD-1 blockade in MSS CRC, current efficacy and mechanisms of resistance</title>
<p>Single-agent PD-1/PD-L1 blockade has limited activity in microsatellite-stable (MSS/pMMR) colorectal cancer because these tumors are typically immune-cold, possess lower neoantigen burdens and show active exclusion or suppression of effector T cells (<xref ref-type="bibr" rid="B253">253</xref>&#x2013;<xref ref-type="bibr" rid="B255">255</xref>). Recent meta-analyses and systematic reviews confirm negligible objective response rates for ICI monotherapy in MSS CRC, while combination regimens (e.g., PD-1 inhibitors with chemotherapy, anti-angiogenics, or targeted agents) can produce clinically meaningful responses in carefully selected contexts such as neoadjuvant trials or when partnered with immune-modulating partners (e.g., anti-VEGF, MEK inhibitors, IDO1 inhibitors) (<xref ref-type="bibr" rid="B253">253</xref>&#x2013;<xref ref-type="bibr" rid="B255">255</xref>). Mechanistically, resistance reflects low baseline antigenicity, WNT/&#x3b2;-catenin and TGF-&#x3b2;&#x2013;driven T-cell exclusion, suppressive myeloid populations, and epigenetic silencing of chemokine and antigen-presentation genes, all of which blunt PD-1 blockade efficacy in MSS disease (<xref ref-type="bibr" rid="B253">253</xref>&#x2013;<xref ref-type="bibr" rid="B255">255</xref>).</p>
</sec>
<sec id="s6_2_2">
<label>6.2.2</label>
<title>TME composition in chemoresistant MSS CRC and epigenetic contributions</title>
<p>Chemoresistant MSS CRCs characteristically exhibit a restructured TME dominated by suppressive myeloid cells (tumour-associated macrophages and MDSCs), regulatory T cells, dysfunctional dendritic cell subsets, and an activated stromal compartment including carcinoma-associated fibroblasts that reinforce immune exclusion (<xref ref-type="bibr" rid="B249">249</xref>, <xref ref-type="bibr" rid="B250">250</xref>, <xref ref-type="bibr" rid="B256">256</xref>). Single-cell and spatial transcriptomic studies summarized that epigenetic modifications within both tumour and immune compartments (DNA methylation, histone marks) silence chemokine expression (e.g., CCL5), downregulate antigen-presentation machinery and fix T-cell exhaustion programs thereby stabilizing an immune-cold, chemoresistant phenotype (<xref ref-type="bibr" rid="B249">249</xref>, <xref ref-type="bibr" rid="B250">250</xref>, <xref ref-type="bibr" rid="B256">256</xref>). Importantly, these epigenetic programs are dynamic under therapy: chemotherapy can transiently increase neoantigen release but simultaneously select for subclones with epigenetic adaptations that sustain immune evasion. These insights provide a mechanistic link between chemoresistance, immune exclusion, and reversible epigenetic states amenable to therapeutic targeting (<xref ref-type="bibr" rid="B249">249</xref>, <xref ref-type="bibr" rid="B250">250</xref>, <xref ref-type="bibr" rid="B256">256</xref>).</p>
</sec>
<sec id="s6_2_3">
<label>6.2.3</label>
<title>Biomarkers beyond MSI/dMMR and harnessing novel immunotherapies via epigenome and tumour heterogeneity</title>
<p>To move beyond MSI/dMMR as the dominant predictive marker, multiparameter biomarker panels are needed that integrate tumour mutational burden/neoantigen quality, spatial immune phenotypes (T-cell inflamed vs immune-desert archetypes), WNT/TGF-&#x3b2; pathway activation, and epigenetic signatures (chemokine promoter methylation, histone modification profiles and chromatin accessibility in tumour and immune cells) (<xref ref-type="bibr" rid="B250">250</xref>, <xref ref-type="bibr" rid="B255">255</xref>, <xref ref-type="bibr" rid="B256">256</xref>). Early clinical strategies exploit this biology: epigenetic priming (DNMTi/HDACi or novel chromatin modulators) can upregulate antigen presentation, reactivate endogenous retroviral elements to induce a type-I interferon response, and restore chemokine expression for T-cell recruitment thereby converting MSS tumors into immunotherapy-sensitive states (<xref ref-type="bibr" rid="B250">250</xref>, <xref ref-type="bibr" rid="B255">255</xref>, <xref ref-type="bibr" rid="B256">256</xref>). Rational combinations (epigenetic drugs + PD-1 blockade; STING agonists or TGF-&#x3b2; pathway inhibitors + ICIs; oncolytic virotherapy or microbial modulation + ICI) are now in early clinical testing and informed by spatial and single-cell profiling to account for intratumor heterogeneity. Ultimately, integrating epigenomic profiling into clinical trials will enable adaptive selection of combinations tailored to tumour architecture and evolutionary state, offering a clear path to harness novel immunotherapies for MSS, chemoresistant CRC (<xref ref-type="bibr" rid="B250">250</xref>, <xref ref-type="bibr" rid="B255">255</xref>, <xref ref-type="bibr" rid="B256">256</xref>).</p>
</sec>
<sec id="s6_2_4">
<label>6.2.4</label>
<title>Mitochondrial signaling to immune modulation and checkpoint therapy resistance</title>
<p>Mitochondrial signaling exerts a central influence on anti-tumor immunity and can directly modulate resistance to immune checkpoint blockade. Mitochondrial metabolism and dynamics regulate T-cell activation, differentiation, and persistence, PD-1 signaling suppresses mitochondrial biogenesis and fission-fusion programs (via PGC-1&#x3b1; and DRP1 pathways), driving T-cell exhaustion and reducing responsiveness to PD-1/PD-L1 inhibitors (<xref ref-type="bibr" rid="B257">257</xref>). Cancer-cell mitochondrial dysfunction (e.g., altered OXPHOS, elevated mtROS, mtDNA release, or mitochondrial transfer to immune cells) reshapes the tumor microenvironment toward immunosuppression by promoting regulatory myeloid phenotypes, impairing antigen presentation, and blunting CD8<sup>+</sup> effector functions include mechanisms that have been linked to poorer immune checkpoint inhibitor (ICI) outcomes (<xref ref-type="bibr" rid="B258">258</xref>). Emerging clinical and mechanistic studies even associate host mitochondrial features (haplogroups, mtDNA content) and tumor-derived mitochondrial signaling with differential ICI efficacy, suggesting mitochondria-linked biomarkers of resistance (<xref ref-type="bibr" rid="B259">259</xref>). Therapeutically, restoring mitochondrial fitness in exhausted T cells (via metabolic reprogramming, enhancing mitobiogenesis/PGC-1&#x3b1;, or reducing deleterious mtROS) and targeting tumor mitochondrial adaptations are promising strategies to overcome checkpoint resistance and reinvigorate anti-tumor immunity (<xref ref-type="bibr" rid="B260">260</xref>). In <bold>CRC</bold>, mitochondrial signaling profoundly shapes immune evasion and resistance to checkpoint blockade therapy. CRC cells frequently display dysregulated OXPHOS and elevated mitochondrial ROS, which promote the secretion of immunosuppressive cytokines (e.g., TGF-&#x3b2;, IL-10) and the polarization of tumor-associated macrophages toward an M2-like phenotype, thereby weakening cytotoxic CD8<sup>+</sup> T-cell infiltration and activity (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B261">261</xref>, <xref ref-type="bibr" rid="B262">262</xref>). Additionally, damaged mitochondria in CRC cells can release mtDNA into the cytosol, activating the <bold>cGAS-STING</bold> pathway in a context-dependent manner either enhancing type I interferon mediated immune surveillance or, when chronically activated, promoting immune tolerance and checkpoint therapy resistance (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B261">261</xref>, <xref ref-type="bibr" rid="B262">262</xref>). Moreover, mitochondrial metabolic reprogramming driven by oncogenic KRAS or p53 mutations enhances OXPHOS reliance in microsatellite-stable (MSS) CRC, which correlates with diminished response to PD-1/PD-L1 inhibitors and a &#x201c;cold&#x201d; tumor immune microenvironment. Recent evidence suggests that therapeutic restoration of mitochondrial homeostasis may sensitize CRC to immune checkpoint inhibitors (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B261">261</xref>, <xref ref-type="bibr" rid="B262">262</xref>). Strategies such as PGC-1&#x3b1; activation, mitochondrial-targeted antioxidants, or OXPHOS inhibitors can recalibrate tumor metabolism and reinvigorate anti-tumor immunity. By modulating mitochondrial biogenesis and redox balance, these interventions reduce ROS-induced immunosuppression, restore T-cell effector functions, and enhance antigen presentation within the tumor microenvironment. Integrating mitochondrial metabolic modulators with immune checkpoint therapy may thus represent a precision immuno-oncology approach for CRC, bridging mitochondrial bioenergetics with durable immune responsiveness (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B261">261</xref>, <xref ref-type="bibr" rid="B262">262</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s7">
<label>7</label>
<title>Clinical epigenetics in metastatic CRC therapies</title>
<p>Epigenetic modifications mediated by histone writer enzymes orchestrate dynamic histone modifications crucial for establishing and maintaining epigenetic landscape (<xref ref-type="bibr" rid="B263">263</xref>). These modifications are controlled by a complex interplay among writer enzymes, reader proteins, and erasers. Dysregulation of these processes can drive pathogenesis, including in chemoresistant CRC (<xref ref-type="bibr" rid="B263">263</xref>) (<xref ref-type="table" rid="T6"><bold>Tables&#xa0;6</bold></xref>, <xref ref-type="table" rid="T7"><bold>7</bold></xref>).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Selected small molecule inhibitors and PROTACs targeting epigenetic writer proteins.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Protein/Complex</th>
<th valign="middle" align="left">Inhibitor/PROTAC</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">EP300/CBP</td>
<td valign="middle" align="left">C646, A485, CBP30, I-CBP112, GNE-781</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B267">267</xref>, <xref ref-type="bibr" rid="B269">269</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">PCAF</td>
<td valign="middle" align="left">GSK4037, L-Moses, GSK983/GSK699 (PROTAC)</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B273">273</xref>, <xref ref-type="bibr" rid="B274">274</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">EZH2</td>
<td valign="middle" align="left">GSK126, EPZ6438, Tazverik (FDA-approved)</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B277">277</xref>, <xref ref-type="bibr" rid="B278">278</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">PRMT5</td>
<td valign="middle" align="left">EPZ015666, HLCL-61, PRMT4 inhibitors</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B280">280</xref>, <xref ref-type="bibr" rid="B286">286</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">DOT1L</td>
<td valign="middle" align="left">EPZ5676 (Pinometostat)</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B275">275</xref>, <xref ref-type="bibr" rid="B287">287</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>This table summarizes key small-molecule inhibitors and PROTACs targeting epigenetic writer proteins (<xref ref-type="bibr" rid="B263">263</xref>).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Overview of targeted therapies in the various phases of clinical trials (<ext-link ext-link-type="uri" xlink:href="http://www.cancer.gov/research/participate/clinical-trials">www.cancer.gov/research/participate/clinical-trials</ext-link>) for metastatic colorectal cancer.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Drug</th>
<th valign="middle" align="left">Target</th>
<th valign="middle" align="left">Indication</th>
<th valign="middle" align="left">Combination therapy</th>
<th valign="middle" align="left">Key findings</th>
<th valign="middle" align="left">Refs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Encorafenib (Braftovi)</td>
<td valign="middle" align="left">BRAF protein</td>
<td valign="middle" align="left">Metastatic colorectal cancer with BRAF mutation</td>
<td valign="middle" align="left">Cetuximab (Erbitux)</td>
<td valign="middle" align="left">Significant efficacy in combination with cetuximab</td>
<td valign="middle" align="left">NCI Clinical Trials</td>
</tr>
<tr>
<td valign="middle" align="left">Vemurafenib (Zelboraf)</td>
<td valign="middle" align="left">Mutant B-Raf</td>
<td valign="middle" align="left">Colorectal cancer with BRAF mutation</td>
<td valign="middle" align="left">Cetuximab and Irinotecan (Camptosar)</td>
<td valign="middle" align="left">Effective in trials with combination therapy</td>
<td valign="middle" align="left">NCI Clinical Trials</td>
</tr>
<tr>
<td valign="middle" align="left">Vitamin D3 (SOLARIS)</td>
<td valign="middle" align="left">N/A</td>
<td valign="middle" align="left">Metastatic colorectal cancer</td>
<td valign="middle" align="left">Chemotherapy and Bevacizumab</td>
<td valign="middle" align="left">Ongoing trial testing the efficacy of adding vitamin D3</td>
<td valign="middle" align="left">NCI Clinical Trials</td>
</tr>
<tr>
<td valign="middle" align="left">Tucatinib (Tukysa)</td>
<td valign="middle" align="left">HER2 protein</td>
<td valign="middle" align="left">Advanced colorectal cancer with HER2 overexpression</td>
<td valign="middle" align="left">Trastuzumab (Herceptin)</td>
<td valign="middle" align="left">Tumors shrank or disappeared in over one-third of participants; stable disease in another third</td>
<td valign="middle" align="left">FDA approval documentation, NCI Clinical Trials</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Dynamic histone modifications and transcriptional regulation: Histone acetylation, initially linked with transcriptional activation, neutralizes the positive charge on histone tails, thereby modulating DNA-histone interactions and facilitating transcription factor binding and RNA polymerase activity (<xref ref-type="bibr" rid="B264">264</xref>). Notably, histone acetylation at H3K27 (H3K27ac) could be considered as the main process at active promoter and enhancer regions, regulating specific gene expression (<xref ref-type="bibr" rid="B265">265</xref>). Targeting histone acetyltransferases (HATs) like EP300 and CREBBP, which catalyze H3K27ac, has emerged as a therapeutic strategy to modulate transcriptional programs implicated in CRC progression (<xref ref-type="bibr" rid="B266">266</xref>, <xref ref-type="bibr" rid="B267">267</xref>).</p>
<p>Therapeutic targeting of EP300/CBP: EP300 and CBP not only catalyze H3K27ac but also acetylate other histone and non-histone substrates, influencing proliferation and differentiation (<xref ref-type="bibr" rid="B268">268</xref>). Small-molecule inhibitors like C646 and A485 selectively target the catalytic activity or bromodomain function of EP300/CBP, respectively, offering potential therapeutic approaches (<xref ref-type="bibr" rid="B267">267</xref>, <xref ref-type="bibr" rid="B269">269</xref>). Strategies that simultaneously target multiple domains of EP300/CBP have shown promise in inhibiting CRC cell proliferation synergistically (<xref ref-type="bibr" rid="B270">270</xref>, <xref ref-type="bibr" rid="B271">271</xref>).</p>
<p>Exploring selective inhibition and functional roles: Despite structural homology, EP300 and CBP exhibit distinct functional roles in gene regulation and cancer pathogenesis, concluding the need for the development of selective inhibitors (<xref ref-type="bibr" rid="B271">271</xref>). Ongoing efforts focus on dissecting their specific contributions to CRC biology using chemical and genetic tools (<xref ref-type="bibr" rid="B272">272</xref>).</p>
<p>Expanding Targets Beyond EP300/CBP: Beyond EP300 and CBP, PCAF and GCN5 have emerged as context-dependent regulators in cancer, with inhibitors such as GSK4037 and L-Moses revealing their potential as therapeutic targets (<xref ref-type="bibr" rid="B273">273</xref>, <xref ref-type="bibr" rid="B274">274</xref>). Therefore, development of PROTACs like GSK983/GSK699 for PCAF underscores new strategies to modulate protein function and understand their roles in cancer progression and chemoresistance (<xref ref-type="bibr" rid="B263">263</xref>).</p>
<p>Histone methylation dynamics: Histone methylation, traditionally considered irreversible, modulates gene expression through diverse mechanisms, including recruitment of TFs and chromatin remodeling complexes (<xref ref-type="bibr" rid="B263">263</xref>). Inhibition of histone lysine methyltransferases (PKMTs) like DOT1L and EZH2 has shown therapeutic promise in leukemia and solid tumors, respectively (<xref ref-type="bibr" rid="B275">275</xref>, <xref ref-type="bibr" rid="B276">276</xref>).</p>
<p>Targeting EZH2: EZH2, a core component of the PRC2 complex catalyzing H3K27me3, regulates gene silencing in cancer. Inhibitors such as GSK126 and EPZ6438 have demonstrated efficacy in various malignancies, including CRC and glioma (<xref ref-type="bibr" rid="B277">277</xref>, <xref ref-type="bibr" rid="B278">278</xref>). Combination therapies involving EZH2 inhibitors with other epigenetic or signaling pathway inhibitors offer synergistic effects against chemoresistance (<xref ref-type="bibr" rid="B279">279</xref>) but their efficacy should be examined against chemoresistant/radioresistant CRC.</p>
<p>PRMTs as emerging targets: Protein arginine methyltransferases (PRMTs), implicated in cancer stemness and DNA damage response, are promising targets for therapeutic intervention with inhibitors like EPZ015666 and HLCL-61 showing efficacy in lymphomas and AML (<xref ref-type="bibr" rid="B263">263</xref>, <xref ref-type="bibr" rid="B280">280</xref>). Future directions in targeting epigenetic modifiers in chemoresistant CRC include developing selective inhibitors against less explored histone modifications (e.g., serotonylation, crotonylation) and employing innovative strategies like PROTACs to degrade oncogenic proteins (<xref ref-type="bibr" rid="B281">281</xref>, <xref ref-type="bibr" rid="B282">282</xref>). Integrating genomic and epigenomic data will identify critical vulnerabilities in CRC, paving the way for personalized therapeutic strategies targeting epigenetic dysregulation (<xref ref-type="table" rid="T6"><bold>Tables&#xa0;6</bold></xref>, <xref ref-type="table" rid="T7"><bold>7</bold></xref>).</p>
<p>Epigenetic co-activators CBP/p300 couple chromatin state to mitochondrial biogenesis and stress signaling by directly regulating transcriptional programs that control nuclear-encoded mitochondrial genes (<xref ref-type="bibr" rid="B283">283</xref>). CBP/p300 acetylates and coactivates PGC-1&#x3b1; and other transcription factors at enhancers/promoters of mitochondrial genes, increasing mitochondrial biogenesis and OXPHOS capacity; CBP/p300 is also required for the mitochondrial unfolded protein response, linking mitochondrial proteotoxic stress to adaptive nuclear transcriptional programs. Loss or inhibition of CBP/p300 therefore impairs mitobiogenesis, lowers OXPHOS capacity and weakens adaptive mito-nuclear signaling (<xref ref-type="bibr" rid="B123">123</xref>, <xref ref-type="bibr" rid="B283">283</xref>&#x2013;<xref ref-type="bibr" rid="B285">285</xref>). PRMTs modulate mitochondrial metabolism through dual routes: (1) direct substrate methylation of metabolic enzymes (for example, PRMT-mediated methylation of glycolytic or TCA cycle enzymes alters their activity or stability), and (2) chromatin/histone arginine methylation that reprograms transcriptional networks controlling mitochondrial function. By changing the balance of glycolysis versus OXPHOS, PRMT activity can shift cellular reliance on mitochondria and indirectly influence ROS generation and mitochondrial quality control. Several PRMTs have been linked to altered metabolic enzyme function and tumor metabolic phenotypes in cancer models (<xref ref-type="bibr" rid="B123">123</xref>, <xref ref-type="bibr" rid="B283">283</xref>&#x2013;<xref ref-type="bibr" rid="B285">285</xref>). Histone methyltransferase EZH2 (PRC2 catalytic subunit) influences mitochondrial biology largely via transcriptional repression and chromatin remodeling: EZH2-mediated H3K27me3 can silence nuclear genes encoding mitochondrial regulators (including factors that modulate lipid metabolism, mitochondrial dynamics, or antioxidant responses), thereby reprogramming cellular metabolism toward or away from oxidative phosphorylation (<xref ref-type="bibr" rid="B285">285</xref>). In addition, EZH2 perturbation alters ER-mitochondrial contacts and organelle homeostasis in tumor cells, changing Ca&#xb2;<sup>+</sup> flux, bioenergetic coupling, and ROS signaling that feedback on epigenetic enzyme activity. Thus, EZH2 inhibition may derepress mitochondrial programs (or destabilize mitochondrial ER crosstalk), altering mitochondrial respiration, redox balance and susceptibility to cell death (<xref ref-type="bibr" rid="B285">285</xref>). PGC-1&#x3b1; and mito-nuclear feedback: PGC-1&#x3b1; functions as a nodal integrator of many of these epigenetic inputs (acetylation by CBP/p300, deacetylation by SIRT1). Changes in CBP/p300, PRMTs or EZH2 activity converge on PGC-1&#x3b1;-driven transcriptional networks and on downstream factors such as NRF1/TFAM that control mtDNA transcription/replication; therefore, epigenetic modulation alters mitochondrial mass, OXPHOS capacity, and ROS output, key determinants of metastatic fitness and response to therapy (<xref ref-type="bibr" rid="B123">123</xref>, <xref ref-type="bibr" rid="B284">284</xref>, <xref ref-type="bibr" rid="B285">285</xref>).</p>
<p>In cancer (including CRC), these mechanistic axes predict that CBP/p300 inhibition will reduce mitobiogenesis and sensitize OXPHOS-addicted tumors, PRMT inhibition may shift metabolic flux and affect mitochondrial enzyme activity, and EZH2 inhibition can rewire mitochondrial gene expression and ER&#x2013;mitochondrial homeostasis, each producing distinct changes in mtDNA copy number, oxygen consumption rate (OCR), mitochondrial membrane potential, and mtROS (<xref ref-type="bibr" rid="B123">123</xref>, <xref ref-type="bibr" rid="B283">283</xref>&#x2013;<xref ref-type="bibr" rid="B285">285</xref>). Key experiments to validate these links include: chromatin immunoprecipitation at nuclear-encoded mitochondrial gene loci (for CBP/p300 and EZH2), mass-spec methylome and proteome profiling (to identify PRMT substrates), functional respirometry (Seahorse OCR/ECAR), mtDNA quantification, and assays of ER&#x2013;mitochondrial contact (e.g., split-GFP or electron microscopy) and future studies should explore these concepts using these significant techniques (<xref ref-type="bibr" rid="B123">123</xref>, <xref ref-type="bibr" rid="B283">283</xref>&#x2013;<xref ref-type="bibr" rid="B285">285</xref>).</p>
<p>Other targeted therapies for metastatic colorectal cancer in clinical trials: According to clinicaltrials.gov. (<ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov/">https://clinicaltrials.gov/</ext-link>), the following targeted therapies that focus on genetic mutations driving tumor growth represent a key area of research for metastatic colorectal cancer (<xref ref-type="table" rid="T6"><bold>Tables&#xa0;6</bold></xref>, <xref ref-type="table" rid="T7"><bold>7</bold></xref>). The goal is to develop agents that inhibit the activity of abnormal proteins produced by these mutations. Encorafenib (Braftovi) targets the BRAF protein and is approved for treating patients with metastatic CRC harboring specific BRAF mutations. It is used in combination with cetuximab (Erbitux) in adults who have undergone prior treatment. Similarly, vemurafenib (Zelboraf) targets mutant B-Raf proteins and has demonstrated effectiveness in NCI-supported trials for CRC with BRAF mutations. It is administered in combination with cetuximab and irinotecan (Camptosar). The SOLARIS trial is investigating the addition of vitamin D3 to chemotherapy and bevacizumab to enhance treatment efficacy in metastatic CRC. Additionally, tucatinib (Tukysa) and trastuzumab (Herceptin) target the HER2 protein and were approved in January 2023 for advanced CRC with HER2 overexpression. In the MOUNTAINEER clinical trial, over one-third of participants experienced tumor shrinkage or disappearance, while another third achieved stable disease (<xref ref-type="table" rid="T7"><bold>Table&#xa0;7</bold></xref>).</p>
<p>Exploring combination therapies: Future research should focus on identifying optimal combinations of targeted therapies with conventional treatments to enhance efficacy and reduce resistance. Long-term efficacy and safety: Longitudinal studies are needed to evaluate the long-term efficacy and safety of these targeted therapies in diverse patient populations. Expansion to other mutations: Investigating the potential of targeted therapies against other genetic mutations in metastatic chemoresistant colorectal cancer could broaden the scope of treatment options available. By continuing to advance targeted therapy research, we can develop more effective treatments for metastatic chemoresistant colorectal cancer, ultimately improving patient outcomes.</p>
</sec>
<sec id="s8" sec-type="conclusions">
<label>8</label>
<title>Conclusions and future directions</title>
<p>The intricate relationship between mtDNA mutations and CRC metastasis describes the pivotal role of mitochondria in tumor progression. Specific mtDNA mutations can act as key drivers of CRC metastasis, potentially serving as prognostic markers and therapeutic targets for metastatic chemoresistant colorectal cancer. Variations in mitochondrial DNA copy number are closely linked to CRC progression, highlighting their potential contribution to both cancer initiation and metastasis. The exploration of mitochondrial CNVs offers insights into tumor heterogeneity and resistance mechanisms. Involvement of mitoepigenetic mechanisms, including DNA methylation and histone modifications, plays a crucial role in modulating mitochondrial gene expression in CRC. Dysregulation of these pathways contributes to both tumor growth and chemoresistance, suggesting that targeting epigenetic machinery holds promise for reversing resistance and controlling tumor progression.</p>
<sec id="s8_1">
<label>8.1</label>
<title>Targeting epigenetic writer proteins in CRC</title>
<p>Epigenetic writer proteins, such as EZH2, EP300/CBP, and PRMTs, describe significant therapeutic targets in CRC. These enzymes alter histone methylation and acetylation, affecting gene expression programs crucial for CRC proliferation and metastasis. Selective inhibitors targeting these proteins provide new avenues for therapeutic intervention. Future research should aim to delineate the precise mechanisms by which mitochondrial DNA mutations influence cancer metastasis and chemoresistance. Detailed functional studies are required to explore how these mutations drive oncogenic pathways and alter mitochondrial function in CRC. Further investigation into the role of mitoepigenetics in tumor heterogeneity is essential. Studying how epigenetic modifications within mitochondria contribute to differential gene expression in various CRC subtypes could provide novel biomarkers for diagnosis and targeted therapy.</p>
</sec>
<sec id="s8_2">
<label>8.2</label>
<title>Development of epigenetic-targeted therapies</title>
<p>As research into epigenetic writer proteins continues to advance, the development of highly specific inhibitors targeting these proteins should be prioritized. New technologies, such as PROTACs, need to be further refined for clinical application in CRC to enhance specificity, reduce off-target effects, and improve therapeutic efficacy.</p>
</sec>
<sec id="s8_3">
<label>8.3</label>
<title>Integration of genomic and epigenomic data in CRC therapy</title>
<p>The integration of genomic and epigenomic data will be crucial in the development of personalized treatment strategies. By combining insights from mtDNA mutations, epigenetic modifications, and tumor genomics, researchers can identify key vulnerabilities in chemoresistant CRC and devise combination therapies tailored to individual tumor profiles.</p>
</sec>
<sec id="s8_4">
<label>8.4</label>
<title>Clinical trials and translational research</title>
<p>Moving forward, it is essential to translate preclinical findings into clinical trials, testing the efficacy of mitochondrial and epigenetic-targeted therapies. Collaboration between researchers, clinicians, and pharmaceutical industries will be critical to ensure the rapid development of these novel therapeutic approaches for CRC patients.</p>
</sec>
</sec>
</body>
<back>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>YC: Methodology, Data curation, Writing &#x2013; original draft,&#xa0;Conceptualization, Investigation. NB: Methodology, Conceptualization, Supervision, Project administration, Writing &#x2013; review &amp; editing. SE: Software, Writing &#x2013; review &amp; editing, Formal analysis. ZL: Formal analysis, Writing &#x2013; review &amp; editing, Methodology, Investigation. AO: Writing &#x2013; review &amp; editing, Data curation, Project administration. BB: Conceptualization, Methodology, Writing &#x2013; review &amp; editing, Formal analysis. WW: Writing &#x2013; review &amp; editing, Formal analysis, Data curation. DM: Project administration, Validation, Methodology, Writing &#x2013; review &amp; editing, Conceptualization, Funding acquisition, Supervision, Resources, Investigation.</p></sec>
<sec id="s11" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s12" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If&#xa0;you identify any issues, please contact us.</p></sec>
<sec id="s13" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<sec id="s14" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2025.1623117/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1623117/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Presentation1.pptx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.presentationml.presentation"/></sec>
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