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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1665024</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The role of extrachromosomal DNA in tumorigenesis and progression</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Xiaoyang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3132665/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Xiaolin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Chuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Lixing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Clinical Laboratory, Zigong Fourth People&#x2019;s Hospital</institution>, <addr-line>Zigong</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Sichuan Vocational College of Health and Rehabilitation</institution>, <addr-line>Zigong</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/696577/overview">Gunnar Boysen</ext-link>, University of Arkansas for Medical Sciences, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1238218/overview">Xiongbin Kang</ext-link>, Bielefeld University, Germany</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/106537/overview">David W. Ussery</ext-link>, Oklahoma State University, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xiaoyang Ma, <email xlink:href="mailto:18408275034@163.com">18408275034@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1665024</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Ma, Yu, Wu and Song.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Ma, Yu, Wu and Song</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<p>In tumors, extrachromosomal DNA (ecDNA) is an important driver of oncogene expression, genomic instability, the evolution of drug resistance, and poor patient prognosis. ecDNA is present in various tumors but is rarely found in normal cells. Here, we provide a detailed review of the structure, genetics, occurrence, outcomes, and functions of ecDNA, offering further reference for research on ecDNA.</p>
</abstract>
<kwd-group>
<kwd>ecDNA</kwd>
<kwd>tumorigenesis</kwd>
<kwd>oncogene</kwd>
<kwd>heterogeneity</kwd>
<kwd>cancer progression</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="116"/>
<page-count count="14"/>
<word-count count="6886"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Genetics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>In 1965, Cox et&#xa0;al. (<xref ref-type="bibr" rid="B1">1</xref>) discovered a large number of small double chromatin bodies outside the chromosomes in five cases of pediatric embryonal tumors and one case of a rare type of adult bronchial carcinoma. In 1967, Radloff et&#xa0;al. (<xref ref-type="bibr" rid="B2">2</xref>) isolated and detected circular DNA of varying lengths in the HeLa cervical cancer cell line. The double chromatin bodies reported by Cox et&#xa0;al. (<xref ref-type="bibr" rid="B1">1</xref>) and the circular DNA reported by Radloff et&#xa0;al. (<xref ref-type="bibr" rid="B2">2</xref>) are both located extrachromosomally and are now collectively referred to as ecDNA. In 2024, Bailey et&#xa0;al. (<xref ref-type="bibr" rid="B3">3</xref>) analyzed whole-genome sequencing data from 14,778 tumor samples of 39 types and found that 17.1% of tumor samples contained ecDNA. The high detection rate of ecDNA in tumors has prompted extensive research to elucidate the role of ecDNA in tumorigenesis and progression. This article will comprehensively discuss the formation mechanisms, biological structure, genetic patterns, and functions of ecDNA in tumors, as well as its potential clinical applications, providing guidance for further research on ecDNA.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Structural and inheritance dynamics of ecDNA</title>
<sec id="s2_1">
<label>2.1</label>
<title>Physical and functional architecture</title>
<p>Approximately 30% of ecDNA exist in pairs within the nucleus, and thus, for a long time, they were referred to as double minutes (<xref ref-type="bibr" rid="B4">4</xref>). ecDNA has a complex structure, lacks centromeres, and can originate from multiple chromosomes (<xref ref-type="bibr" rid="B5">5</xref>). The frequency, copy number, and size of ecDNA vary greatly among different tumors (<xref ref-type="bibr" rid="B3">3</xref>). The prevalence of ecDNA across various cancers is shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. Typically, ecDNA exists in a circular form (<xref ref-type="bibr" rid="B4">4</xref>). However, ecDNA is distinct from extrachromosomal circular DNA (eccDNA). eccDNA has a small molecular weight (&lt;1 kb), does not undergo amplification, does not contain complete gene sequences or regulatory elements, does not carry mutated genes, and can appear in normal tissues (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). ecDNA has a large molecular weight (&gt;100 kb), undergoes clonal selection, possesses self-replication and amplification capabilities, can contain oncogenes, regulatory elements, recombinant genes, and mutated genes, and is rare in normal tissues (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>A body map of the prevalence of ecDNA in various cancers. OPT, oropharyngeal tumour; LPS, liposarcoma; OSA, primary conventional osteosarcoma; MFS, myxofibrosarcoma; SARC, sarcoma; NOS, not-otherwise specified; LMS, leiomyosarcoma; CHO, chordoma; BRCA, breast cancer; TN, triple negative; LIHC, liver hepatocellular carcinoma; CHOL, cholangiocarcinoma; HPB, hepatopancreatobiliary cancer; PAAD, pancreatic adenocarcinoma; MELA, malignant melanoma; OVA, ovarian cancer; BLCA, bladder cancer; CNS, central nervous system; GBM, glioblastoma; AST, astrocytoma; ODG, oligodendroglioma; SCLC, small cell lung cancer; LUSC, lung squamous cell carcinoma; LUAD, lung adenocarcinoma; MPM, malignant pleural mesothelioma; GI, gastrointestinal; UGI, upper gastrointestinal; ADENO, adenocarcinoma; STAD, stomach adenocarcinoma; SCC, squamous cell carcinoma; KIRC, clear cell renal cell carcinoma; UTER, endometrial cancer; PRAD, prostate adenocarcinoma. The data were extracted using Getdata Graph Digitizer (<ext-link ext-link-type="uri" xlink:href="https://getdata-graph-digitizer.com/">
<italic>https://getdata-graph-digitizer.com/</italic>
</ext-link>) from Bailey et&#xa0;al. (<xref ref-type="bibr" rid="B3">3</xref>), 2024, on June 6, 2025.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1665024-g001.tif">
<alt-text content-type="machine-generated">A body map of the prevalence of ecDNA in various cancers. Categories include oropharyngeal, bone and soft tissue, breast, hepatobiliary, skin, ovary, bladder, CNS, lung, upper GI, renal, colorectal, uterus, prostate, and others. Each category lists specific cancer types with respective ecDNA percentages.</alt-text>
</graphic>
</fig>
<p>ecDNA can carry a variety of common oncogenes, such as <italic>MYC</italic>, <italic>MYCN</italic>, <italic>Jun</italic>, <italic>KRAS</italic>, <italic>MYCL</italic>, <italic>MDM2</italic>, epidermal growth factor receptor (<italic>EGFR</italic>), fibroblast growth factor receptor 2 (<italic>FGFR2</italic>), platelet derived growth factor receptor alpha (<italic>PDGFRA</italic>), erb-b2 receptor tyrosine kinase 2 (<italic>ERBB2</italic>), and cyclin-dependent kinase 4 (<italic>CDK4</italic>), among others (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Even when carrying the same oncogene, ecDNA can exhibit substantial variability in both size and sequence composition (<xref ref-type="bibr" rid="B15">15</xref>). ecDNA with distinct sequence architectures are referred to as ecDNA species. ecDNA can simultaneously carry multiple oncogenes (<xref ref-type="bibr" rid="B13">13</xref>), and share adjacent regulatory regions (<xref ref-type="bibr" rid="B16">16</xref>). In addition, there exists a class of ecDNA that does not carry oncogenes but only carries promoters, enhancers, or long noncoding RNA (lncRNA) regulatory elements, referred to as regulatory ecDNA (<xref ref-type="bibr" rid="B3">3</xref>). Compared to ecDNA carrying oncogenes, regulatory ecDNA have a simpler structure, smaller size, and lower copy number (<xref ref-type="bibr" rid="B3">3</xref>). Whole-genome sequencing of human papillomavirus mediated oropharyngeal cancer (HPVOPC) revealed that HPVOPC contains ecDNA composed of host genome and HPV-host genome hybrids, and both types of ecDNA can carry multiple oncogenes (<xref ref-type="bibr" rid="B17">17</xref>). Additionally, ecDNA can also carry immune regulatory genes and inflammation-related genes (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Gene function enrichment analysis confirmed that genes carried by ecDNA are often upregulated in biological processes such as cell cycle, cell division, and DNA damage, and downregulated in processes related to the immune system (<xref ref-type="bibr" rid="B18">18</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Non-Mendelian segregation mechanisms</title>
<p>During mitosis, the spindle apparatus pulls the centromeres of chromosomes, guiding their alignment and equal segregation to ensure that daughter cells have identical chromosomal DNA. Multiple studies have shown that the copy number of ecDNA among tumor cells exhibits significant heterogeneity (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). ecDNA does not appear to follow Mendelian inheritance during cell division, differing from chromosomal inheritance patterns (<xref ref-type="bibr" rid="B21">21</xref>). FISH-based methods combined with unbiased image analysis have shown that after mitosis in multiple tumor cell lines, the number of ecDNA in daughter cells follows a Gaussian distribution, and the segregation process is independent of tumor type and ecDNA species (<xref ref-type="bibr" rid="B22">22</xref>). Subsequently, CRISPR-based ecDNA tagging with live-cell imaging was used to dynamically track ecDNA during the cell cycle, further confirming that ecDNA undergoes random segregation during cell division (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Analysis of The Cancer Genome Atlas Program (TCGA) database showed that more than 25% of ecDNA-containing (ecDNA+) tumors contain more than two types of ecDNA, and different ecDNA species coexist at copy numbers much higher than expected by chance (<xref ref-type="bibr" rid="B14">14</xref>). Therefore, when cells contain multiple ecDNA species, their segregation may not be completely independent and random. Recent studies have shown that when tumor cells contain multiple ecDNA species, cooperative ecDNA species are coordinately inherited through mitotic co-segregation (<xref ref-type="bibr" rid="B14">14</xref>). In summary, during cell division, a single type of ecDNA segregates into daughter cells in a binomial random manner, while multiple coexisting ecDNA species can be co-segregated into daughter cells (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Random segregation of ecDNA promotes intratumoral heterogeneity of cancer. ecDNA does not follow Mendelian inheritance and undergoes random segregation during cell division. After multiple rounds of cell division, the copy number of ecDNA in cells will exhibit significant heterogeneity.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1665024-g002.tif">
<alt-text content-type="machine-generated">Diagram illustrating the uneven segregation of extrachromosomal DNA (ecDNA) in cells, leading to intratumoral heterogeneity. Cells are shown with blue chromosomal DNA and red ecDNA. Arrows depict the segregation process, resulting in a cluster of cells with varying ecDNA counts.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Formation of ecDNA</title>
<p>Since the discovery of ecDNA, researchers have been committed to exploring its origin and formation mechanisms. Analysis of single nucleotide variant (SNV) frequency has shown that ecDNA and chromosomal DNA are haplotypically distinct, providing evidence for the hypothesis that ecDNA originates from chromosomes (<xref ref-type="bibr" rid="B24">24</xref>). Currently, several models have been proposed to explain the formation of ecDNA, such as the excisional model, breakage-fusion-bridge (BFB) cycle, translocation-bridge amplification (TB amplification), and chromothripsis. Below, we discuss these models in detail (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Biogenesis of ecDNA. <bold>(A)</bold> Breakage-Fusion-Bridge (BFB) cycles start during a bridge formation (usually between sister chromatids) as a stabilizing repair intermediate for DNA double-strand break (DSB). Unequal mitotic separation and breakage of the bridged chromosomes creates an inverted duplication on one chromosome, and a deletion on the other. The broken end result in continued BFB cycles until the telomere is re-capped. <bold>(B)</bold> The episome model is also known as the excisional model. Episomes are derived from excisied DNA fragments, and they can enlarge to form ecDNA by over-replication or recombination. The excisional model is divided into the scarring excisional model and the scarless excisional model. <bold>(C)</bold> Chromothripsis generates multiple chromosomal fragments via a single catastrophic event. These fragments may undergo misrepair and illegitimate reassembly, driving either massive chromosomal rearrangements or ecDNA formation. <bold>(D)</bold> Translocation-bridge (TB) amplification occurs in the G1 phase. Inter-chromosomal translocation directly creates the dicentric chromosome. During mitosis, dicentric chromosomes separate to form chromosomal bridges, which break and circularize to form ecDNA. <bold>(E)</bold> Human papillomavirus (HPV) integration drives host genome amplification and structural rearrangement, resulting in virus-host tandem DNA formation. Subsequent excision of viral DNA by host cells generates hybrid virus-host ecDNA.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1665024-g003.tif">
<alt-text content-type="machine-generated">Diagram showing five mechanisms leading to ecDNA formation: A) Breakage-fusion-bridge (BFB) cycle depicting chromosomal breakage, replication, fusion, and bridge formation. B) Episome model illustrating excision and end-to-end ligation resulting in ecDNA. C) Chromothripsis process showing chromosomal breakage, fragment formation, and repair producing ecDNA. D) Translocation-bridge (TB) amplification model illustrating chromosomal breakage, translocation, and bridge formation leading to ecDNA. E) HPV model detailing HPV replication, virus genome concatemers formation, breakage, integration, excision, and recombination leading to ecDNA.</alt-text>
</graphic>
</fig>
<sec id="s3_1">
<label>3.1</label>
<title>Excisional model</title>
<p>The excisional model, also known as the episome model, is a simple hypothesis regarding the origin of ecDNA. The excisional model posits that ecDNA originates from double-stranded DNA breaks on chromosomes, so the resulting ecDNA usually have simple structures and low diversity (<xref ref-type="bibr" rid="B25">25</xref>). As early as 1988, researchers confirmed that episomes can be directly formed from deleted chromosomal fragments (<xref ref-type="bibr" rid="B26">26</xref>). Subsequently, a case of acute myeloid leukemia was reported in which the leukemic cells contained double minutes carrying the <italic>MYC</italic> gene, and a chromosome 8 with a deletion in the <italic>MYC</italic> region was also present, suggesting that the <italic>MYC</italic> in the double minutes originated from chromosome 8 (<xref ref-type="bibr" rid="B27">27</xref>). Through next-generation sequencing, single nucleotide polymorphism array, fluorescent <italic>in situ</italic> hybridization, and polymerase chain reaction-based techniques, the genomic structure and evolutionary mechanisms of seven <italic>MYC</italic> ecDNA+ tumor cell lines were analyzed, revealing that ecDNA are gradually formed through multiple steps such as amplification, recombination, and deletion of ancestral episomes from a single chromosome (<xref ref-type="bibr" rid="B28">28</xref>). Chromosome conformation capture (Hi-C) analysis showed that spatial proximity is not required for the generation of ecDNA, and long-distance double-stranded breaks can still efficiently form ecDNA (<xref ref-type="bibr" rid="B29">29</xref>). In addition, CRISPR-C technology can be used to artificially cut specific genes to construct ecDNA+ cell models (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>According to whether the chromosome can be accurately repaired after DNA fragment excision, the excisional model is divided into the scarring excisional model and the scarless excisional model. In the scarring excisional model, DNA fragment excision occurs before DNA replication, and the organism connects the chromosomal break ends through nonhomologous end joining (NHEJ) (<xref ref-type="bibr" rid="B25">25</xref>). In the scarless excisional model, DNA fragments are usually formed by replication fork breakage, and the missing part of the chromosome is precisely repaired through a homologous recombination-dependent DNA replication process using the normal sister chromatid as a template (<xref ref-type="bibr" rid="B25">25</xref>). Deep sequencing of the junctions between ecDNA and chromosomal excision scars revealed that the formation of ecDNA and chromosomal scars is independent, with NHEJ predominantly repairing chromosomal scars, while microhomology-mediated end joining (MMEJ) is more common in ecDNA circularization (<xref ref-type="bibr" rid="B29">29</xref>). However, some studies have shown that the breakpoints of circular amplicons often have no sequence homology or only minimal sequence homology (&lt;5 bp), suggesting that NHEJ is the main mechanism for ecDNA formation (<xref ref-type="bibr" rid="B30">30</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Breakage-fusion-bridge cycle</title>
<p>BFB cycles were originally described by Barbara McClintock in 1939 for the fate of a dicentric chromosome during meiotic mitosis and endosperm development in maize (<xref ref-type="bibr" rid="B31">31</xref>). BFB events are common in tumors and are a frequent cause of increased oncogene copy number (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). The BFB cycle begins with telomere loss, and chromosomes lacking telomeres or sister chromatids of telomere-deficient chromosomes after replication fuse to form dicentric chromosomes (<xref ref-type="bibr" rid="B34">34</xref>). During cell division, dicentric chromosomes are pulled in opposite directions by spindle fibers, forming chromosomal bridges (<xref ref-type="bibr" rid="B35">35</xref>). Chromosomal bridges break under mechanical tension during cell division, generating new telomere-deficient chromosomes and broken chromosomal fragments (<xref ref-type="bibr" rid="B34">34</xref>). In the absence of telomeres, BFB will continue to occur in subsequent generations of cells until telomeres are restored (<xref ref-type="bibr" rid="B32">32</xref>). Studies have shown that there is a strong overlap between oncogenes amplified by BFB cycles and those amplified by ecDNA, suggesting that chromosomal bridge fragments generated by the BFB cycle can circularize to form ecDNA (<xref ref-type="bibr" rid="B32">32</xref>).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Translocation-bridge amplification</title>
<p>Chromosomal translocations can also form dicentric chromosomes. During cell division, dicentric chromosomes separate to form chromosomal bridges, which break and circularize to form ecDNA (<xref ref-type="bibr" rid="B36">36</xref>). TB amplification elucidates the amplification mechanism of key oncogenes ERBB2 and cyclin D1 (<italic>CCND1</italic>) in breast cancer (<xref ref-type="bibr" rid="B36">36</xref>). Chromosomal translocation is the most common cause of chromosomal bridge formation in tumors, and tumors with TB amplification often exhibit loss of heterozygosity (LOH) on the bridge arm (<xref ref-type="bibr" rid="B36">36</xref>). In the TB amplification model, dual-LOH occurs on two chromosomal arms, so chromosomal translocation in TB amplification occurs in the G1 phase (<xref ref-type="bibr" rid="B36">36</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Chromothripsis</title>
<p>Chromothripsis refers to the occurrence of a large number of random breaks in one or several chromosomes within a short period (<xref ref-type="bibr" rid="B37">37</xref>). Chromosomal shattering does not occur through the accumulation of gene mutations but is a single catastrophic genomic event (<xref ref-type="bibr" rid="B38">38</xref>). Fanconi anaemia (FA), a model syndrome of genome instability, is caused by a deficiency in DNA interstrand crosslink repair resulting in chromosome breakage (<xref ref-type="bibr" rid="B39">39</xref>). Studies have shown that the FA pathway is a driving factor for chromothripsis, with the core FA complex monoubiquitinating and activating FANCI-FANCD2, which recruits the SLX4-XPF-ERCC1 endonuclease to cleave micronuclear chromosomes, triggering large-scale chromosomal shattering (<xref ref-type="bibr" rid="B40">40</xref>). The shattered chromosomal fragments undergo erroneous joining and assembly, leading to extensive chromosomal rearrangement or the formation of ecDNA (<xref ref-type="bibr" rid="B41">41</xref>). Chromothripsis is widespread in tumors, with an incidence exceeding 40% in glioblastoma, lung adenocarcinoma, osteosarcoma, and liposarcoma (<xref ref-type="bibr" rid="B42">42</xref>). Additionally, approximately 50% of cases with circular amplicons exhibit chromothripsis (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B43">43</xref>). Some researchers also believe that chromothripsis may arise through TREX1-mediated fragmentation of dicentric chromosomes formed in telomere crisis (<xref ref-type="bibr" rid="B44">44</xref>). BFB cycles and chromothripsis are hallmarks of telomere crisis (<xref ref-type="bibr" rid="B45">45</xref>). Therefore, chromothripsis and BFB cycles may share a common origin and coexist and promote each other in the formation of ecDNA (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B43">43</xref>).</p>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Viral integration and ecDNA biogenesis</title>
<p>HPV is a small, non-enveloped virus with a circular double-stranded DNA genome, and more than 200 genotypes have been identified to date (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). According to its carcinogenicity, HPV is classified into low-risk and high-risk types (<xref ref-type="bibr" rid="B48">48</xref>). High-risk HPV infection can lead to malignant tumors such as cervical cancer, vaginal cancer, penile cancer, anal cancer, oropharyngeal cancer, and head and neck cancer (<xref ref-type="bibr" rid="B49">49</xref>). After HPV infection, integration of its genome into the host chromatin is a characteristic step in cellular carcinogenesis, ensuring constitutive expression of the E6/E7 oncogenes (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). As mentioned above, HPVOPC contains virus-host hybrid ecDNA (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B52">52</xref>). Does HPV play a specific role in the formation of virus-host hybrid ecDNA? Studies have shown that HPV integration can mediate amplification and rearrangement of the host genome, altering the local chromosomal structure and forming virus-host tandem DNA (<xref ref-type="bibr" rid="B53">53</xref>&#x2013;<xref ref-type="bibr" rid="B55">55</xref>). Subsequently, researchers found that this tandem DNA sequence in various HPV-related tumors exhibits repetitive, diverse, and interrelated structural features, which were named &#x201c;heterocateny&#x201d; (<xref ref-type="bibr" rid="B56">56</xref>). Heterocateny is driven by the HPV genome, exists both intrachromosomally and extrachromosomally, and its formation process is as follows (<xref ref-type="bibr" rid="B1">1</xref>): HPV replication forms unstable viral genome concatemers (<xref ref-type="bibr" rid="B2">2</xref>); viral genome concatemers integrate into host DNA (<xref ref-type="bibr" rid="B3">3</xref>); host cells excise viral DNA, forming virus-host hybrid ecDNA (<xref ref-type="bibr" rid="B4">4</xref>); virus-host ecDNA undergo replication, amplification, and rearrangement, forming diverse ecDNA (<xref ref-type="bibr" rid="B5">5</xref>); virus-host ecDNA can recombine into chromosomes again, and undergo further excision, circularization, replication, amplification, and rearrangement, resulting in even more diverse ecDNA (<xref ref-type="bibr" rid="B56">56</xref>). In summary, HPV integration into the host genome can drive the formation of virus-host ecDNA, which are variable in size and structurally diverse (<xref ref-type="bibr" rid="B57">57</xref>).</p>
</sec>
<sec id="s5">
<label>5</label>
<title>ecDNA promotes oncogene expression</title>
<p>Pan-cancer analysis shows that oncogenes encoded by ecDNA have the highest expression levels in tumor transcriptomes (<xref ref-type="bibr" rid="B15">15</xref>). In fact, the expression levels of <italic>EGFR</italic>, <italic>MYC</italic>, <italic>CDK4</italic>, and <italic>MDM2</italic> genes commonly carried by ecDNA rank in the top 1% of tumor genomes (<xref ref-type="bibr" rid="B15">15</xref>). Increased gene expression usually involves increased gene copy number and altered transcriptional regulation. Below, we discuss in detail the mechanisms by which ecDNA promotes increased oncogene expression (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Examples of how ecDNA can promote oncogene expression. <bold>(A)</bold> The nucleosome structure of ecDNA has higher chromatin accessibility, enabling increased transcription. <bold>(B)</bold> ecDNA functions as a trans-acting mobile element that enhances gene expression from both chromosomal loci and other ecDNA molecules. <bold>(C)</bold> ecDNA hijacks both local and distal chromosomal enhancers to elevate oncogene expression. <bold>(D)</bold> ecDNAs assemble into transcriptional hubs that amplify gene transcription across proximal ecDNA molecules through shared regulatory elements, including enhancers.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1665024-g004.tif">
<alt-text content-type="machine-generated">Diagram illustrating four mechanisms involving extrachromosomal DNA (ecDNA) in gene regulation. Panel A depicts higher accessibility with linear chromosomal DNA and ecDNA. Panel B shows trans-acting mechanisms with oncogenes and enhancers interacting. Panel C illustrates enhancer hijacking with oncogenes, enhancers, distal enhancers, and insulators. Panel D displays an ecDNA hub linking enhancers, oncogenes, and BRD4.</alt-text>
</graphic>
</fig>
<sec id="s5_1">
<label>5.1</label>
<title>Amplification of ecDNA copy number</title>
<p>In tumors, gene amplification is a measure to antagonize anti-cancer treatments by directly increasing the dosage of target proteins (<xref ref-type="bibr" rid="B58">58</xref>), or by activating an alternative cell-proliferation pathway (<xref ref-type="bibr" rid="B59">59</xref>). More commonly, genes promoting tumorigenesis and progression employ gene amplification to increase their protein level (<xref ref-type="bibr" rid="B60">60</xref>). Gene amplification occurs in two forms: linear amplification and circular amplification, manifested as homogeneously staining regions (HSR) and ecDNA, respectively (<xref ref-type="bibr" rid="B61">61</xref>). Analysis of 8,068 circularly amplified genes and 6,247 linearly amplified genes in 77 tumor samples showed that the copy number of circularly amplified genes was significantly higher than that of linearly amplified genes (<xref ref-type="bibr" rid="B15">15</xref>). Therefore, increased copy number of oncogenes carried by ecDNA is one of the main mechanisms for increased gene expression. In addition, engineered ecDNA can also spontaneously accumulate in primary cells and promote cell proliferation, transformation, immortalization, and drive tumor formation (<xref ref-type="bibr" rid="B62">62</xref>).</p>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>ecDNA exhibits high transcriptional activity</title>
<p>ecDNA can carry multiple regulatory regions, resulting in a non-linear relationship between transcriptional output and gene copy number. Transcription of ecDNA is very common (<xref ref-type="bibr" rid="B63">63</xref>). After normalizing the copy number of oncogenes carried by ecDNA and chromosomal oncogenes, oncogenes on ecDNA still produce more transcripts, significantly higher than those on chromosomes (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Studies have shown that ecDNA can promote oncogene transcription through non-copy number-dependent mechanisms such as increased chromatin accessibility and enhancer hijacking (<xref ref-type="bibr" rid="B64">64</xref>). In addition, as the copy number of ecDNA increases, the transcription level of genes carried by ecDNA also increases accordingly (<xref ref-type="bibr" rid="B20">20</xref>). Below, we discuss in detail the mechanisms underlying the high transcriptional activity of ecDNA.</p>
<sec id="s5_2_1">
<label>5.2.1</label>
<title>High chromatin accessibility of ecDNA</title>
<p>Chromatin accessibility refers to the physical contact permissibility of nuclear macromolecules with chromatinized DNA, which is mainly determined by the distribution and occupancy of nucleosomes, as well as other DNA-binding factors (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B66">66</xref>). Accessible chromatin is a hallmark of active DNA regulatory elements (<xref ref-type="bibr" rid="B67">67</xref>). The accessible regions comprise only ~2-3% of the whole genome, and more than 90% of these regions are yet to be captured by transcription factors (<xref ref-type="bibr" rid="B68">68</xref>). ecDNA is also composed of nucleosome units and possesses chromatin structural features (<xref ref-type="bibr" rid="B15">15</xref>). Assay for transposase-accessible chromatin using sequencing (ATAC-seq) and transposase-accessible chromatin with visualization (ATAC-see) experiments have shown that the nucleosome structure of ecDNA is more loosely assembled, lacks higher-order compaction, and has higher chromatin accessibility (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B64">64</xref>).</p>
</sec>
<sec id="s5_2_2">
<label>5.2.2</label>
<title>ecDNA as mobile enhancers</title>
<p>Gene expression is regulated by genomic enhancers that recruit transcription factors and cofactors to activate transcription from target core-promoters (<xref ref-type="bibr" rid="B69">69</xref>). In the HMS001 human papillomavirus-associated oropharyngeal cancer cell line, HPV can integrate into host enhancer regions, forming ecDNA containing enhancer-E6/E7 promoter complexes, and CRISPR interference with this enhancer can reduce E6/E7 expression (<xref ref-type="bibr" rid="B52">52</xref>). Therefore, ecDNA can enhance the expression of its own carried oncogenes. Does ecDNA also affect genes at other loci? Studies using artificial enhancer ecDNA to transfect the PC3 prostate cancer cell line (ecDNA&#x2212;) showed that this ecDNA triggered genome-wide chromosomal gene transcriptional activation in PC3 cells (<xref ref-type="bibr" rid="B70">70</xref>). In addition, in cervical cancer cell lines containing HPV virus-host ecDNA with super-enhancers, these super-enhancers can promote strong and extensive intra- and inter-chromosomal interactions (<xref ref-type="bibr" rid="B71">71</xref>). The above studies indicate that ecDNA can act as mobile enhancers, facilitating extensive internal interactions and genome-wide chromosomal interactions, thereby broadly promoting gene expression (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B70">70</xref>).</p>
</sec>
<sec id="s5_2_3">
<label>5.2.3</label>
<title>Enhancer hijacking</title>
<p>Genes can hijack distal enhancers to compensate for the loss of local gene regulatory elements, thereby enhancing gene expression, a phenomenon known as enhancer hijacking (<xref ref-type="bibr" rid="B16">16</xref>). Enhancer hijacking can form new topological domains and is an effective mechanism for driving oncogene expression (<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B73">73</xref>). Studies have shown that in the CHP-212 neuroblastoma cell line, <italic>MYCN</italic> on ecDNA can hijack the enhancer element of the tribbles pseudokinase 2 (<italic>TRIB2</italic>) gene (<xref ref-type="bibr" rid="B16">16</xref>), <italic>CDX2</italic> on ecDNA in COLO320-DM cells can hijack the <italic>MYC</italic> enhancer (<xref ref-type="bibr" rid="B74">74</xref>), and in SNU16 cells, <italic>MYC</italic>, <italic>FGFR2</italic>, <italic>CD44</italic>, and pyruvate dehydrogenase complex component X (<italic>PDHX</italic>) on ecDNA can mutually hijack enhancers (<xref ref-type="bibr" rid="B74">74</xref>). In addition, in hematological tumors, ecDNA can also promote oncogene transcription through enhancer hijacking (<xref ref-type="bibr" rid="B64">64</xref>). The above studies indicate that enhancer hijacking is common on ecDNA and is an important reason for oncogene overexpression promoted by ecDNA.</p>
</sec>
<sec id="s5_2_4">
<label>5.2.4</label>
<title>Promoter hijacking</title>
<p>ecDNA in COLO320-DM cells contains multiple copies of the long noncoding RNA gene <italic>PVT1</italic>, and <italic>PVT1</italic> often fuses with the <italic>MYC</italic> gene, constituting more than 70% of <italic>MYC</italic> gene transcripts (<xref ref-type="bibr" rid="B75">75</xref>). The <italic>PVT1-MYC</italic> fusion gene is formed by the fusion of the <italic>PVT1</italic> promoter and exon 1 with exons 2 and 3 of <italic>MYC</italic>, that is, the <italic>PVT1</italic> promoter and exon 1 replace the <italic>MYC</italic> gene promoter and exon 1 (<xref ref-type="bibr" rid="B75">75</xref>). CRISPR interference experiments inhibiting the <italic>PVT1</italic> gene promoter showed that the total amount of <italic>MYC</italic> gene transcripts decreased (<xref ref-type="bibr" rid="B75">75</xref>). High-throughput conformation capture with chromatin immunoprecipitation (HiChIP) experiments showed that multiple enhancers can significantly interact with the <italic>PVT1-MYC</italic> promoter, and its H3K27ac signal is higher than that of the classic <italic>MYC</italic> gene promoter (<xref ref-type="bibr" rid="B75">75</xref>). In addition, studies of multiple small cell lung cancer (SCLC) cell lines found that the <italic>MYCL</italic> gene on ecDNA can significantly increase MYCL expression by hijacking the <italic>RLF</italic> promoter (<xref ref-type="bibr" rid="B76">76</xref>). In summary, ecDNA can increase the expression of related genes by hijacking promoters, facilitating broader contact with enhancers.</p>
</sec>
<sec id="s5_2_5">
<label>5.2.5</label>
<title>ecDNA hub</title>
<p>FISH technology has confirmed that ecDNA in PC3 cells, COLO320-DM cells, SNU16 cells, and HK359 glioma cell lines all exhibit a significant tendency to aggregate in the nucleus (<xref ref-type="bibr" rid="B75">75</xref>). Aggregated ecDNA are referred to as ecDNA hubs (<xref ref-type="bibr" rid="B75">75</xref>). In addition, <italic>FGFR2</italic> ecDNA and <italic>MYC</italic> ecDNA in SNU6 cells are intertwined in the same hub (<xref ref-type="bibr" rid="B75">75</xref>). Bromodomain containing 4 (BRD4) is a member of the bromodomain and extra-terminal domain (BET) family, which also includes BRD1, BRD3, and bromodomain testis associated (BRDT) (<xref ref-type="bibr" rid="B77">77</xref>). Live-cell imaging has shown that BRD4 protein is highly enriched in the ecDNA hub of COLO320-DM cells (<xref ref-type="bibr" rid="B75">75</xref>). JQ1 is a broad-spectrum BET inhibitor targeting all four BET proteins (<xref ref-type="bibr" rid="B77">77</xref>). JQ1 can disperse the ecDNA hub, causing ecDNA to be distributed diffusely, suggesting that BRD4 is a key mediator for the formation and maintenance of the ecDNA hub (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B78">78</xref>).</p>
<p>Immunofluorescence staining has confirmed that the ecDNA hub in glioblastoma-derived neurosphere cell lines is co-localized with RNA polymerase II (RNAPII), suggesting that the ecDNA hub can promote the aggregation and recruitment of functional transcriptional machinery (<xref ref-type="bibr" rid="B23">23</xref>). Transfection of COLO320-DM cells with a <italic>PVT1</italic> promoter-NanoLuc luciferase (PVT1p-nLuc) plasmid confirmed the presence of inter-molecular enhancer-promoter activation in the ecDNA hub and determined that PVT1p can be trans-activated in the ecDNA hub (<xref ref-type="bibr" rid="B75">75</xref>). In SNU6 cells, the enhancer on <italic>FGFR2</italic> ecDNA can trans-activate <italic>MYC</italic> gene expression (<xref ref-type="bibr" rid="B75">75</xref>). Therefore, co-localization of <italic>FGFR2</italic> ecDNA and <italic>MYC</italic> ecDNA can further promote MYC expression. In COLO320-DM cells, aggregation of <italic>MYC</italic> ecDNA predicts <italic>MYC</italic> pre-mRNA expression levels better than <italic>MYC</italic> copy number (<xref ref-type="bibr" rid="B78">78</xref>). In summary, the ecDNA hub increases the spatial proximity between regulatory elements and oncogenes, leading to increased oncogene expression. In addition, after JQ1 disperses the ecDNA hub in COLO320-DM cells, the expression of the <italic>MYC</italic> gene carried by ecDNA also decreases, further confirming that the ecDNA hub can promote oncogene expression (<xref ref-type="bibr" rid="B75">75</xref>).</p>
<p>It is worth noting that not all ecDNA in all cells can form ecDNA hubs or exhibit high transcriptional activity. Studies have shown that in glioblastoma stem cells, there is no aggregation or close interaction between ecDNA carrying <italic>EGFR</italic>, <italic>MYC</italic>, and <italic>PDGFR</italic>, nor with transcriptional condensates, and the increase in transcriptional products is due to increased copy number (<xref ref-type="bibr" rid="B79">79</xref>). In summary, increased oncogene expression on ecDNA involves multiple mechanisms, which may coexist or exist independently.</p>
</sec>
</sec>
</sec>
<sec id="s6">
<label>6</label>
<title>ecDNA promotes tumor heterogeneity, evolution, drug resistance, and poor prognosis</title>
<p>Tumor cells continuously evolve into populations with intratumoral heterogeneity (<xref ref-type="bibr" rid="B80">80</xref>). Tumor heterogeneity is caused by genetic, epigenetic, transcriptomic, and phenotypic heterogeneity, and natural selection and Darwinian evolution drive tumor progression and drug resistance on this basis (<xref ref-type="bibr" rid="B80">80</xref>, <xref ref-type="bibr" rid="B81">81</xref>). Therefore, tumor heterogeneity is a key factor leading to drug resistance, treatment failure, and death in patients (<xref ref-type="bibr" rid="B82">82</xref>). Studies have shown that ecDNA plays an important role in promoting tumor heterogeneity, evolution, and drug resistance (<xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B84">84</xref>).</p>
<sec id="s6_1">
<label>6.1</label>
<title>ecDNA copy number, epigenetic, and genetic heterogeneity</title>
<p>As mentioned above, ecDNA does not follow Mendelian inheritance and undergoes random segregation during cell division. Therefore, after multiple rounds of cell division, the copy number of ecDNA in cells will exhibit significant heterogeneity (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). When the cellular microenvironment changes, natural selection enables cells to rapidly accumulate ecDNA carrying oncogenes to cope with adverse environments (<xref ref-type="bibr" rid="B22">22</xref>). ecDNA+ tumors adapt faster, exhibit more pronounced intratumoral heterogeneity, and develop drug resistance earlier than BFB-amplified tumors (<xref ref-type="bibr" rid="B32">32</xref>). DNA methylation is an important epigenetic modification regulating gene expression (<xref ref-type="bibr" rid="B85">85</xref>). In multiple SCLC cell lines, the DNA methylation level in ecDNA+ cells is slightly lower than that in ecDNA&#x2212; cells (<xref ref-type="bibr" rid="B76">76</xref>). Using nanopore sequencing technology, it was found that the methylation level of the EGFR gene promoter region on ecDNA in GBM39 cells is significantly lower than that of the same region on chromosomes (<xref ref-type="bibr" rid="B24">24</xref>). Therefore, ecDNA can regulate gene methylation status to achieve higher transcriptional activity.</p>
<p>In glioblastoma, exons 2&#x2013;7 of <italic>EGFR</italic> are often deleted, resulting in the constitutively active mutant <italic>EGFRvIII</italic> (<xref ref-type="bibr" rid="B86">86</xref>). <italic>EGFRvIII</italic> in GBM39 cells is mainly located on ecDNA, while chromosomes usually contain full-length wild-type <italic>EGFR</italic> (<xref ref-type="bibr" rid="B24">24</xref>). Therefore, <italic>EGFRvIII</italic> ecDNA in glioblastoma can provide a unique selective advantage for tumor evolution (<xref ref-type="bibr" rid="B14">14</xref>). Studies have shown that the expression of apolipoprotein B mRNA editing enzyme catalytic polypeptide 3 (APOBEC3) is significantly higher in ecDNA+ tumors than in ecDNA&#x2212; tumors, and 31% of samples containing ecDNA exhibit kyklonic events (APOBEC3 kataegis and ecDNA occurring simultaneously) (<xref ref-type="bibr" rid="B87">87</xref>). Among all kyklonic events, 41% overlap with known tumor driver genes, resulting in mutations in tumor driver genes (<xref ref-type="bibr" rid="B87">87</xref>). Thus, APOBEC3 plays an important role in ecDNA mutation and tumor evolution. In addition, HPV-host ecDNA can undergo multiple rounds of amplification and recombination, forming highly heterogeneous virus-host ecDNA, thereby promoting heterogeneity and clonal evolution in HPV-related tumors (<xref ref-type="bibr" rid="B56">56</xref>). The above studies indicate that ecDNA exhibits copy number heterogeneity and species heterogeneity among cells, as well as genetic and epigenetic heterogeneity with chromosomal DNA.</p>
</sec>
<sec id="s6_2">
<label>6.2</label>
<title>ecDNA promotes selection and drug resistance</title>
<p>Studies have shown that the detection rate of ecDNA is significantly increased in tumor patients receiving chemotherapy and targeted therapy, suggesting that ecDNA may be an adaptive mechanism for tumor cells to cope with treatment pressure (<xref ref-type="bibr" rid="B3">3</xref>). <italic>DHFR</italic> gene amplification is the main cause of acquired methotrexate resistance (<xref ref-type="bibr" rid="B88">88</xref>). The amplification of the DHFR gene in the methotrexate-resistant HT29 human colon cancer cell line undergoes three stages: pre-amplification, HSR, and ecDNA, with ecDNA being the main driver of resistance (<xref ref-type="bibr" rid="B88">88</xref>). After methotrexate treatment of HAP1 cells containing <italic>DHFR</italic> ecDNA, the copy number of ecDNA increased in a strongly dose-dependent manner (<xref ref-type="bibr" rid="B22">22</xref>). In urothelial cancer, the <italic>CCND1</italic> gene undergoes amplification through ecDNA-mediated structural variants (SVs), driving cell cycle progression and enhancing cellular adaptability under selective therapeutic pressure (<xref ref-type="bibr" rid="B89">89</xref>). Treatment of GBM39-EC (<italic>EGFRvIII</italic> located on ecDNA) and GBM39-HSR (<italic>EGFRvIII</italic> located on HSR) cells with the EGFR tyrosine kinase inhibitor (TKI) erlotinib showed that GBM39-EC cells resist erlotinib by reducing the copy number of <italic>EGFRvIII</italic> ecDNA, while the copy number of <italic>EGFRvIII</italic> in GBM39-HSR cells remains unchanged, and these cells remain sensitive to erlotinib (<xref ref-type="bibr" rid="B22">22</xref>). In glioblastoma patients receiving EGFR TKI targeted therapy, tumor cells acquire EGFR TKI resistance by eliminating <italic>EGFRvIII</italic> ecDNA, and <italic>EGFRvIII</italic> ecDNA reappear after drug withdrawal (<xref ref-type="bibr" rid="B90">90</xref>). Pancreatic ductal adenocarcinoma (PDAC) is usually difficult to survive in a WNT-deficient environment, and acquired WNT independence can promote PDAC progression (<xref ref-type="bibr" rid="B19">19</xref>). In PDAC organoid cultures under WNT-deficient conditions, <italic>MYC</italic> ecDNA+ cells can be selected to adapt to the WNT-deficient environment (<xref ref-type="bibr" rid="B19">19</xref>). In addition, GBM39-HSR cells are extremely sensitive to glucose deprivation, while GBM39-EC cells show no significant changes (<xref ref-type="bibr" rid="B22">22</xref>). The above studies indicate that ecDNA+ tumors have a stronger selective advantage and can rapidly adapt to changes in the microenvironment when facing metabolic stress or drug treatment, leading to rapid tumor progression and drug resistance.</p>
</sec>
<sec id="s6_3">
<label>6.3</label>
<title>ecDNA leads to poor prognosis</title>
<p>Studies have shown that patients with ecDNA+ medulloblastoma were more than twice as likely to relapse and three times as likely to die within 5 years of diagnosis (<xref ref-type="bibr" rid="B20">20</xref>). After adjusting for tumor type, stage, age, sex, and genomic instability in 14,778 tumor patients (39 types), it was found that ecDNA detection was associated with tumor stage, metastasis, and shorter overall survival (<xref ref-type="bibr" rid="B3">3</xref>). Research indicates that reduced expression of MHC class I molecules in ecDNA+ urothelial carcinoma cells enables immune evasion from T cell attack, thereby contributing to poor prognosis in ecDNA+ urothelial cancer patients (<xref ref-type="bibr" rid="B91">91</xref>). Moreover, ecDNA can harbor genes regulating immune and inflammatory responses, which is associated with reduced T cell infiltration in cancer patients (<xref ref-type="bibr" rid="B3">3</xref>). Therefore, ecDNA may affect tumor progression and prognosis by influencing the expression of immune-related genes, such as inhibiting immune clearance of tumor cells or promoting immune evasion (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B92">92</xref>). The p53 tumor suppressor protein is a transcription factor that inhibits cell division or survival in response to various stresses (<xref ref-type="bibr" rid="B93">93</xref>). <italic>TP53</italic> mutations are associated with enhanced chromosomal instability, including increased amplification of oncogenes and deep deletion of tumor suppressor genes (<xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B95">95</xref>). Studies have shown that ecDNA is the main driver of the progression of high-grade dysplasia Barrett&#x2019;s esophagus (HGD) to esophageal adenocarcinoma (EAC), and <italic>TP53</italic> mutations drive the formation of ecDNA (<xref ref-type="bibr" rid="B13">13</xref>). <italic>TP53</italic> mutations are significantly enriched in ecDNA+ endometrial cancer, renal cancer, breast cancer, and medulloblastoma (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Therefore, some researchers believe that the impact of ecDNA on patient survival is due to <italic>TP53</italic> mutations (<xref ref-type="bibr" rid="B20">20</xref>). The overall survival rate of neuroblastoma patients with ecDNA-derived rearrangements is significantly lower than that of patients without ecDNA-derived rearrangements, and the overall survival rate of patients with <italic>MYCN</italic> ecDNA-derived rearrangements is also significantly lower than that of patients without <italic>MYCN</italic> ecDNA-derived rearrangements (<xref ref-type="bibr" rid="B96">96</xref>). Therefore, genomic instability caused by the integration of ecDNA into chromosomes may be another mechanism by which it affects patient survival outcomes (<xref ref-type="bibr" rid="B97">97</xref>). In addition, in SCLC, ecDNA is the main source of the <italic>RLF-MYCL</italic> oncogenic fusion (<xref ref-type="bibr" rid="B76">76</xref>). <italic>RLF-MYCL</italic>, the most common oncogenic fusion in small cell lung cancer, can accelerate transformation and proliferation of murine SCLC and increase metastatic dissemination and the diversity of metastatic sites (<xref ref-type="bibr" rid="B98">98</xref>). In summary, multiple studies have confirmed that ecDNA can lead to poor patient prognosis, making it another indicator for prognosis prediction. However, the biological mechanisms by which ecDNA drives tumor progression and metastasis require further study to provide more evidence for the development of future targeted therapies.</p>
</sec>
</sec>
<sec id="s7">
<label>7</label>
<title>Fate of ecDNA</title>
<p>ecDNA plays an important role in tumorigenesis and progression. Can ecDNA persist long-term after abnormal formation in cells? Next, we discuss the fate of ecDNA in cells (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Fate of ecDNA. <bold>(A)</bold> ecDNA is maintained via active replication and mitotic tethering to chromosomes during cell division. <bold>(B)</bold> Random integration of ecDNA into chromosomes generates homogeneously staining regions (HSRs). This integration event is positively selected upon loss of selective pressure. Functioning as ecDNA reservoirs, HSRs can regenerate new ecDNAs when favorable selection pressures reappear. <bold>(C)</bold> ecDNA may undergo elimination through micronucleus formation, followed by extrusion or degradation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1665024-g005.tif">
<alt-text content-type="machine-generated">Diagram illustrating three models of ecDNA behavior: A) Maintenance shows ecDNA replication and tethering to chromosomes during mitosis, resulting in daughter cells with ecDNA. B) Integration depicts ecDNA incorporation into chromosomes forming HSR, influenced by selective pressure. C) Elimination demonstrates the formation of micronuclei during mitosis, leading to ecDNA degradation or extrusion.</alt-text>
</graphic>
</fig>
<sec id="s7_1">
<label>7.1</label>
<title>Maintenance</title>
<p>ecDNA exhibits autonomous replication and undergoes replication only once during the S phase of the cell cycle (<xref ref-type="bibr" rid="B99">99</xref>). ecDNA replication activates the ataxia telangiectasia mutated (ATM)-mediated DNA damage response (DDR) pathway (<xref ref-type="bibr" rid="B12">12</xref>). This DDR pathway is essential for ecDNA maintenance, and its inhibition would disrupt ecDNA circularization (<xref ref-type="bibr" rid="B12">12</xref>). Furthermore, during mitosis, ecDNA achieves segregation to daughter cell nuclei by attaching to chromosomes &#x2013; a phenomenon termed &#x201c;hitchhiking&#x201d; or &#x201c;tethering&#x201d; (<xref ref-type="bibr" rid="B100">100</xref>). Research indicates that ecDNA achieves efficient nuclear segregation by tethering to mitotic chromosome ends, and this tethering is essential for ecDNA maintenance (<xref ref-type="bibr" rid="B101">101</xref>). In addition, ecDNA can form new, more complex structures through replication, amplification, and rearrangement (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B102">102</xref>).</p>
</sec>
<sec id="s7_2">
<label>7.2</label>
<title>Integration</title>
<p>As early as 1985, research revealed that <italic>MYC</italic> amplification in human colonic carcinoma cell lines evolved from ecDNA to HSR on an X chromosome (<xref ref-type="bibr" rid="B103">103</xref>). Studies have shown that focal amplification of <italic>BRAF</italic> in the M249 human melanoma cell line resistant to vemurafenib and selumetinib initially exists as ecDNA and can subsequently integrate into chromosomes to form homogeneously staining regions (HSR) (<xref ref-type="bibr" rid="B104">104</xref>). In neuroblastoma, most genomic structural rearrangements are caused by the integration of ecDNA into chromosomes (<xref ref-type="bibr" rid="B96">96</xref>). For example, after chromosome 2 breaks, ecDNA containing <italic>MYCN</italic>, <italic>NBAS</italic>, and <italic>rs13028343</italic> are formed, and the part of ecDNA containing <italic>NBAS</italic> and <italic>rs13028343</italic> can integrate into chromosome 13, causing the doublecortin like kinase 1 (<italic>DCLK1</italic>) gene to break (<xref ref-type="bibr" rid="B96">96</xref>). In addition, JQ1 can induce the integration of ecDNA into chromosomes, leading to the elimination of ecDNA in cells (<xref ref-type="bibr" rid="B102">102</xref>).</p>
</sec>
<sec id="s7_3">
<label>7.3</label>
<title>Elimination</title>
<p>ecDNA usually carries oncogenes, so eliminating ecDNA can induce cell differentiation and reverse the tumor phenotype. Studies have shown that COLO320-DM cells contain ecDNA micronuclei, and low concentrations of hydroxyurea can further induce their formation (<xref ref-type="bibr" rid="B105">105</xref>). Hydroxyurea induces DNA double-strand breaks, causing ecDNA to aggregate and lag behind mitotic chromosomes, eventually forming micronuclei (<xref ref-type="bibr" rid="B106">106</xref>). Subsequently, CRISPR Cas9 was employed to induce precise double-strand breaks in ecDNA. This approach confirmed that damaged ecDNA is prone to aggregation, and that aggregated ecDNA subsequently detaches from mitotic chromosomes, forming micronuclei (<xref ref-type="bibr" rid="B107">107</xref>). In addition, gemcitabine also promotes micronucleus formation of ecDNA in human ovarian cancer cells (<xref ref-type="bibr" rid="B108">108</xref>). The MDC1-TOPBP1-CIP2A complex mediates the tethering of chromosomal fragments, allowing them to be transmitted as a whole to daughter cells (<xref ref-type="bibr" rid="B109">109</xref>). Therefore, the MDC1-TOPBP1-CIP2A complex may also explain why broken ecDNA are more likely to aggregate, but this requires further research. Moreover, recent studies demonstrate that BRD4 plays a significant role in the nuclear segregation of ecDNA, and inhibition of BRD4 impairs ecDNA clustering during mitotic segregation, ultimately leading to micronucleation (<xref ref-type="bibr" rid="B101">101</xref>). Subsequently, ecDNA micronuclei are degraded in cells through autophagy or apoptosis-like processes, or extruded from cells through exocytosis-like mechanisms, becoming the main pathways for ecDNA elimination (<xref ref-type="bibr" rid="B105">105</xref>).</p>
</sec>
</sec>
<sec id="s8">
<label>8</label>
<title>ecDNA as a potential therapeutic target</title>
<p>ecDNA promotes massive transcription of oncogenes and rapid genomic evolution in tumor patients, leading to drug resistance and reduced survival rates. Therefore, ecDNA is an important potential therapeutic target in tumors. Under normal conditions, replication forks on ecDNA exhibit slightly reduced speed and an elevated stalling rate, indicating that they persistently operate under a certain degree of replication stress (<xref ref-type="bibr" rid="B110">110</xref>). The reduced fork speed on ecDNA may be associated with increased replication pressure resulting from high-copy gene amplification (<xref ref-type="bibr" rid="B111">111</xref>). Studies demonstrate that hydroxyurea can further induce replication stress on ecDNA, exacerbating replication impairment and reducing fork speed, ultimately depleting ecDNA within cells (<xref ref-type="bibr" rid="B110">110</xref>). Furthermore, ecDNA undergoes extensive transcription, leading to significantly increased levels of transcription-replication conflicts (<xref ref-type="bibr" rid="B63">63</xref>). Such conflicts can cause replication fork reversal and DNA breakage (<xref ref-type="bibr" rid="B112">112</xref>). Transcription-replication conflict, replication stress, and DNA damage can drive activation of the S-phase checkpoint (<xref ref-type="bibr" rid="B63">63</xref>). The S-phase checkpoint involving checkpoint kinase 1 (CHK1) is essential for fork stability in response to fork stalling (<xref ref-type="bibr" rid="B113">113</xref>). The CHK1 protein kinase is essential to ensure genome integrity and cell survival (<xref ref-type="bibr" rid="B114">114</xref>). Tang et&#xa0;al. (<xref ref-type="bibr" rid="B63">63</xref>) employed a CHK1 inhibitor and CRISPR knockout assays, demonstrating that ecDNA+ tumor cells exhibit heightened sensitivity to CHK1 inhibition, and <italic>CHK1</italic> knockout was shown to induce ecDNA damage and subsequent cell death. Subsequently, the oral CHK1 inhibitor BBI-2779 was further applied in a mouse gastric cancer model containing FGFR2 ecDNA, confirming that BBI-2779 can inhibit gastric cancer growth and cause sustained tumor regression in mice (<xref ref-type="bibr" rid="B63">63</xref>). Similar to BBI-2779, BBI-355 is also an oral, potent, selective CHK1 small molecule inhibitor in development as an ecDNA-directed therapy (ecDTx). BBI-355 is also an oral, potent, selective CHK1 small molecule inhibitor in development as an ecDNA directed therapy (ecDTx). BBI-825 is an oral, potent, selective ribonucleotide reductase (RNR) small molecule inhibitor. The combination regimen of BBI-355 and BBI-825 has entered phase 1/2 clinical development for the treatment of patients with proto-oncogene-amplified cancers (NCT05827614). Furthermore, leveraging the unique structural features of ecDNA, we have summarized potential ecDNA-specific therapeutic strategies in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Potential targeted therapeutic strategies for ecDNA.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Intervention nodes</th>
<th valign="top" align="left">Drugs</th>
<th valign="top" align="left">Description</th>
<th valign="top" align="left">Refs.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">ecDNA biogenesis</td>
<td valign="top" align="left">PARP inhibitors</td>
<td valign="top" align="left">DNA ligase 3 PARylation facilitates ecDNA biogenesis. PARP inhibitors block PARylation, and counteract ecDNA-driven drug resistance.</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B115">115</xref>, <xref ref-type="bibr" rid="B116">116</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">ecDNA replication</td>
<td valign="top" align="left">Hydroxyurea</td>
<td valign="top" align="left">Under replication stress induced by hydroxyurea treatment, ecDNA replication is compromised, leading to altered origin activation, reduced fork velocity and eventual ecDNA depletion from cells.</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B110">110</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">CHK1/CHK2 inhibitors</td>
<td valign="top" align="left">The CHK protein kinase is essential to ensure ecDNA genome integrity, and CHK inhibitions could trigger preferential cell death in ecDNA+ tumour cells. BBI-355 is currently in clinical trials as a CHK1 inhibitor.</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B63">63</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">ATM/TOP1 inhibitor</td>
<td valign="top" align="left">ecDNA replication-dependent activation of ATM-mediated DDR and DDR ensures ecDNA maintenance; TOP1 are critical regulators of ecDNA-induced DDR.</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B12">12</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">ecDNA clustering</td>
<td valign="top" align="left">BET inhibitors</td>
<td valign="top" align="left">BET inhibitors target BRD4 within ecDNA hubs, disrupting hub integrity and thereby reducing intermolecular interactions among ecDNA molecules, ultimately suppressing ecDNA-driven gene expression.</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B75">75</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">ecDNA micronucleation</td>
<td valign="top" align="left">Hydroxyurea</td>
<td valign="top" align="left">Low-dose hydroxyurea induces ecDNA clustering by promoting DDR. These clustered ecDNAs subsequently detach from anaphase chromosomes, ultimately promoting chromosomal micronucleation.</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B106">106</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Gemcitabine</td>
<td valign="top" align="left">Gemcitabine is able to decrease the number of ecDNA in cells at a 7500X lower concentration than the commonly used cancer drug hydroxyurea.</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B108">108</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PARP, poly ADP-ribose polymerase; CHK, checkpoint kinase; ATM, ataxia telangiectasia mutated; TOP1, Topoisomerases; BET, bromodomain and extra-terminal domain; DDR, DNA damage response; BRD4, biromodomain containing 4.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s9" sec-type="conclusions">
<label>9</label>
<title>Conclusions and perspectives</title>
<p>Currently, the detection of ecDNA primarily relies on two complementary approaches: DNA sequencing and imaging-based technologies. High-throughput sequencing enables comprehensive characterization of ecDNA sequence composition and dynamic alterations, yet it remains limited in resolving spatial organization and intercellular variability. In contrast, advanced imaging techniques allow direct visualization and real-time tracking of ecDNA dynamics but lack the capacity to provide precise sequence-level information. Furthermore, ecDNA detection rates vary substantially across cancer types, and the vast diversity of ecDNA-associated oncogenes introduces significant complexity for the development of ecDNA-targeted therapeutics. Adding to these challenges, the profound intratumoral heterogeneity driven by ecDNA through non-Mendelian inheritance mechanisms substantially reduces the diagnostic reliability of single-time tissue biopsies or liquid biopsies.</p>
<p>Future advances are likely to emerge from integrative strategies that combine high-resolution imaging modalities&#x2014;such as three-dimensional (3D) reconstruction and live-cell imaging&#x2014;with next-generation and single-molecule sequencing platforms. Such multimodal approaches are expected to provide a systematic understanding of the spatiotemporal dynamics of ecDNA and its influence on tumor evolution, clonal selection, and treatment response. In parallel, therapeutic strategies may increasingly focus on key regulatory nodes that govern ecDNA biogenesis and maintenance, offering potential broad-spectrum targets across multiple tumor types. Additionally, multi-region sampling and single-cell sequencing are anticipated to mitigate false-negative results associated with intratumoral heterogeneity, thereby improving the sensitivity and reliability of ecDNA detection.</p>
<p>In summary, although ecDNA was first described over six decades ago, its critical roles in oncogenesis and cancer progression have only recently gained widespread recognition. A growing body of evidence demonstrates that ecDNA serves as a major driver of oncogene amplification, genomic instability, intratumoral heterogeneity, and therapeutic resistance. Ongoing studies are progressively elucidating the biological processes underlying ecDNA formation, maintenance, clustering, and clearance, laying a theoretical foundation for the development of ecDNA-targeted interventions, with several candidate compounds currently advancing into clinical trials. Nonetheless, key questions remain unresolved regarding the cellular origins, transcriptional regulation, and three-dimensional spatial architecture of ecDNA, highlighting the urgent need for further mechanistic investigations and technological innovations.</p>
</sec>
</body>
<back>
<sec id="s10" sec-type="author-contributions">
<title>Author contributions</title>
<p>XM: Methodology, Resources, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. XY: Data curation, Investigation, Writing &#x2013; review &amp; editing. CW: Supervision, Writing &#x2013; review &amp; editing. LS: Conceptualization, Methodology, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s11" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This work was funded by the key project of Sichuan Vocational College of Health and Rehabilitation (CWKY-2022Z-04).</p>
</sec>
<sec id="s12" 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="s13" 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 you identify any issues, please contact us.</p>
</sec>
<sec id="s14" 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>
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