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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.2025.1644104</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>Long noncoding RNAs involved in therapeutic response: implications for cervical cancer drug resistance</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Trujano-Camacho</surname>
<given-names>Samuel</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Contreras-Romero</surname>
<given-names>Carlos</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Garc&#xed;a-Castillo</surname>
<given-names>Ver&#xf3;nica</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>S&#xe1;nchez-Mar&#xed;n</surname>
<given-names>David</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2712249/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Olvera-Valencia</surname>
<given-names>Mercedes</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3095258/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Rodr&#xed;guez-Dorantes</surname>
<given-names>Mauricio</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/856706/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Peralta-Zaragoza</surname>
<given-names>Oscar</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/163045/overview"/>
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<contrib contrib-type="author">
<name>
<surname>de Le&#xf3;n</surname>
<given-names>David Cant&#xfa;</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>L&#xf3;pez-Urrutia</surname>
<given-names>Eduardo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>P&#xe9;rez-Plasencia</surname>
<given-names>Carlos</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/673846/overview"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Laboratorio de Gen&#xf3;mica, Unidad de Biomedicina, Facultad de Estudios Superiores-Iztacala (FES-IZTACALA), Universidad Nacional Aut&#xf3;noma de M&#xe9;xico (UNAM)</institution>, <addr-line>Tlalnepantla</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Laboratorio de Diagn&#xf3;stico Molecular Genelab</institution>, <addr-line>Cuahut&#xe9;moc</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Posgrado en Ciencias Biol&#xf3;gicas, Facultad de Medicina, Universidad Nacional Aut&#xf3;noma de M&#xe9;xico (UNAM)</institution>, <addr-line>Coyoacan</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Laboratorio de Virus y C&#xe1;ncer, Direcci&#xf3;n de Investigaci&#xf3;n, Instituto Nacional de Cancerolog&#xed;a</institution>, <addr-line>M&#xe9;xico City</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Laboratorio de Oncogen&#xf3;mica, Instituto Nacional de Medicina Gen&#xf3;mica</institution>, <addr-line>Tlalpan</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Direcci&#xf3;n de Infecciones Cr&#xf3;nicas y C&#xe1;ncer, Centro de Investigaci&#xf3;n Sobre Enfermedades Infecciosas, Instituto Nacional de Salud P&#xfa;blica</institution>, <addr-line>Cuernavaca</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Direcci&#xf3;n de Investigaci&#xf3;n, Instituto Nacional de Cancerolog&#xed;a</institution>, <addr-line>M&#xe9;xico City</addr-line>,&#xa0;<country>Mexico</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/154155/overview">Sharon R Pine</ext-link>, University of Colorado Anschutz Medical Campus, 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/502939/overview">Rebeca Debora Martinez-Contreras</ext-link>, Meritorious Autonomous University of Puebla, Mexico</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1375467/overview">Marco Alonso Andonegui</ext-link>, Subdirection of Basic Investigation, National Institute of Cancerology (INCAN), Mexico</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Carlos P&#xe9;rez-Plasencia, <email xlink:href="mailto:carlos.pplas@gmail.com">carlos.pplas@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1644104</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Trujano-Camacho, Contreras-Romero, Garc&#xed;a-Castillo, S&#xe1;nchez-Mar&#xed;n, Olvera-Valencia, Rodr&#xed;guez-Dorantes, Peralta-Zaragoza, de Le&#xf3;n, L&#xf3;pez-Urrutia and P&#xe9;rez-Plasencia.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Trujano-Camacho, Contreras-Romero, Garc&#xed;a-Castillo, S&#xe1;nchez-Mar&#xed;n, Olvera-Valencia, Rodr&#xed;guez-Dorantes, Peralta-Zaragoza, de Le&#xf3;n, L&#xf3;pez-Urrutia and P&#xe9;rez-Plasencia</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>Cervical cancer (CC) remains among the top causes of death for women worldwide, especially in low-income countries, where screening strategies are less widespread. Treatment strategies are mainly based on DNA-damaging agents, though resistance mechanisms still pose a substantial challenge. Among the cellular components that mediate treatment resistance, long non-coding RNAs (lncRNAs) stand out because of their broad regulatory effects. They are involved in virtually all drug resistance mechanisms, such as drug efflux, DNA repair, evasion of cell death, and aberrant epigenetic modifications. Although resistance mechanisms are fundamentally similar in most cancers, the underlying regulatory networks vary substantially. Here, we review the literature for lncRNAs involved in treatment resistance mechanisms in general, and then focus on lncRNAs that mediate resistance in CC. We found a broad area of opportunity in lncRNA research in resistant CC, as the lncRNAs involved are still to be described. These master regulators are promising candidates for response markers and therapeutic targets. May this compilation serve as the basis for further descriptions of the regulatory roles of lncRNA in CC treatment resistance.</p>
</abstract>
<kwd-group>
<kwd>lncRNAs</kwd>
<kwd>non-coding RNAs</kwd>
<kwd>chemoresistance</kwd>
<kwd>cancer</kwd>
<kwd>cervical cancer</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="116"/>
<page-count count="12"/>
<word-count count="4986"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Molecular and Cellular Oncology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Cervical cancer (CC) is the fourth most common cancer among women worldwide and the third leading cause of cancer-related mortality. In 2022 alone, 662,044 cases and 348,709 deaths from cervical cancer occurred, with mortality exceeding 50% in many cases. While most cases are detected in high-income countries, the number of deaths is disproportionately high in low-income countries, where CC ranks as the second most deadly cancer for women (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>Human Papillomavirus (HPV) infection is accepted as the main etiology of CC. HPV virions can reach any of the different epithelial regions that comprise the uterine cervix: the endocervix, lined by columnar glandular epithelium, the ectocervix, lined by stratified squamous epithelium, or the transformation zone formed by metaplastic epithelium (<xref ref-type="bibr" rid="B2">2</xref>), giving rise to two histological variants: squamous cell carcinoma (85%) and adenocarcinoma (15%) (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Current pharmacological treatment strategies for CC include platinum-based chemoradiation therapy (CCRT) and brachytherapy. For advanced or recurrent cases, a platinum-based chemotherapy doublet, often combining cisplatin with paclitaxel, ifosfamide, gemcitabine, topotecan, or vinorelbine, to mention a few, is the first-line treatment. However, the response rate for early-to-intermediate stages (IIA-IIIB) is only 68%, and 5-year overall survival (OS) and progression-free survival (PFS) rates remain low, at 68% and 66%, respectively (<xref ref-type="bibr" rid="B4">4</xref>). Several groups are currently working to optimize these effects through novel drug delivery strategies of already approved drugs. These strategies include delivery of the recently approved pembrolizumab through nanoparticles of nanopolymers (<xref ref-type="bibr" rid="B5">5</xref>). Nonetheless, resistance to therapy &#x2013;whether intrinsic or acquired&#x2013; remains a critical challenge, undermining treatment efficacy and contributing to progressive, advanced, or metastatic disease.</p>
<p>Therapy resistance in CC, as in other cancers, arises through molecular mechanisms involving genetic and epigenetic alterations. Cancer stem cells (CSCs) play a prominent role, alongside mechanisms such as enhanced drug efflux, increased DNA repair, evasion of apoptosis, autophagy, epithelial-mesenchymal transition (EMT), and aberrant epigenetic modifications (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Recent research highlights the involvement of long noncoding RNAs (lncRNAs) in these processes, positioning them as pivotal players in therapy resistance. LncRNAs are RNA molecules longer than 200 bp that, while not typically translated into proteins, fold into complex secondary structures, enabling interactions with DNA, RNA, or proteins. These interactions allow lncRNAs to act as molecular decoys, signaling mediators, guides, and scaffolds for protein complexes (<xref ref-type="bibr" rid="B7">7</xref>). Deregulated lncRNAs have been shown to influence every hallmark of cancer, promoting malignant transformation and tumor progression. Multi-omics studies have further demonstrated that lncRNAs contribute directly to a cancerous phenotype by interacting with various macromolecules and molecular complexes (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>This review focuses on the role of lncRNAs in mediating drug resistance in CC. First, we explore their involvement in known resistance mechanisms such as drug efflux, DNA repair, and epigenetic modifications. Then, we analyze reported associations between specific treatments and lncRNAs, emphasizing their potential as biomarkers for predicting therapeutic response and guiding treatment strategies. By understanding their molecular and clinical significance, we aim to underscore the promise of lncRNAs as targets to overcome resistance and improve outcomes for CC patients. Many of these lncRNAs affecting resistance mechanisms have yet to be characterized in the context of cervical cancer, highlighting the need for further research and raising important new questions for future investigation in this field (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>LncRNA-mediated resistance processes: Aberrant epigenetic processes, autophagy, DNA repair, evasion of apoptosis and epithelial-mesenchymal transition are some of the main processes mediated by LncRNAs in cancer. To promote a chemoresistant phenotype, long non-coding RNAs (LncRNAs) modulate gene expression through diverse epigenetic mechanisms, including DNA methylation, histone modifications, and functioning as competing endogenous RNAs (ceRNAs) that sequester microRNAs (miRNAs). Beyond epigenetic regulation, LncRNAs bolster cellular resistance to therapy-induced cytotoxicity by activating autophagy which enhance tumor cell survival and metastatic potential. Furthermore, LncRNAs play a pivotal role in preserving genomic stability by facilitating the repair of single- and double-strand DNA breaks and by interfering with apoptotic signaling pathways, thereby enabling cancer cells to evade programmed cell death and sustain malignant progression.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1644104-g001.tif">
<alt-text content-type="machine-generated">Diagram depicting mechanisms affecting DNA featuring aberrant epigenetics, DNA repair, autophagy, and apoptosis evasion. Green arrows connect these processes centrally to DNA, indicating interaction paths.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2">
<label>2</label>
<title>lncRNAs involved in resistance mechanisms</title>
<p>The sensitivity of each tumor to different chemotherapy drugs and the determinants of their specificity depend on various factors, including the tumor microenvironment and dynamic changes that activate specific mechanisms, such as those mentioned above (<xref ref-type="bibr" rid="B9">9</xref>). In this regard, several studies have described the involvement of lncRNAs in resistance mechanisms. Although those reviewed below were not necessarily performed in cervical cancer (CC), they demonstrate that long noncoding RNAs are implicated in drug resistance and sensitivity in cancer cells (<xref ref-type="bibr" rid="B10">10</xref>). Understanding how lncRNAs modulate drug response is the basis for new avenues to address resistance to anticancer therapies.</p>
<sec id="s2_1">
<label>2.1</label>
<title>Reduced absorption and increased drug efflux</title>
<p>One of the main resistance mechanisms is reduced drug uptake and increased drug efflux, which are primarily mediated through an increase in the ATP-binding cassette (ABC) superfamily transporters (<xref ref-type="bibr" rid="B11">11</xref>). There are 48 known transporters, classified into seven subfamilies (ABC A to G); 30 of them contribute to the development of drug resistance in tumors, most notably P-glycoprotein (P-gp) and breast cancer resistance protein (BCRP/ABCG2) (<xref ref-type="bibr" rid="B12">12</xref>). Several lncRNAs play crucial roles in regulating these drug transporters.</p>
<p>While much of the evidence comes from studies in other cancer types, these findings provide valuable insights for cervical cancer (CC). For example, the lncRNA HOTAIR has been studied in gastric cancer, where its overexpression regulates the activity of P-glycoprotein (P-gp), promoting the efflux of drugs such as doxorubicin and paclitaxel (<xref ref-type="bibr" rid="B13">13</xref>). MALAT1 plays a significant role in lung and gastric cancer, increasing resistance to cisplatin. Its ability to modulate ABC transporters and signaling pathways suggests a direct impact on treatment efficacy (<xref ref-type="bibr" rid="B14">14</xref>). Considering that both lncRNAs are overexpressed and associated with a poor prognosis in CC (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>) and that they promote resistance to drugs used in CC treatment regimens, we can begin to explore the implications of lncRNAs in specific tumors and as resistance mechanisms shared among tumors dependent on the presence of specific regulators, such as MALAT1 and HOTAIR. Similarly, reviewing other lncRNAs involved in similar resistance mechanisms can potentially lead us to new, unexplored CC targets. The lncRNA MRUL (multidrug resistance-related and upregulated lncRNA), for example, regulates ABCB1 expression in gastric cancer, thereby promoting multidrug resistance (<xref ref-type="bibr" rid="B17">17</xref>). These findings highlight the direct role of specific lncRNAs in modulating ATP-binding cassette (ABC) transporters and driving the multidrug-resistant phenotype in various cancer types.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Increased DNA repair and apoptosis evasion</title>
<p>Various genotoxic treatments damage DNA by breaking covalent bonds between nucleotides, disrupting genome replication and transcription. The repair machinery can intervene by correcting the damage at specific checkpoints through a signaling cascade or by triggering cell death (<xref ref-type="bibr" rid="B18">18</xref>). The DNA damage response induces apoptosis through the so-called intrinsic pathway, characterized by membrane permeabilization and release of pro-apoptotic factors such as cytochrome C or apoptotic protease activation factor 1 (Apaf-1) into the cytosol. Resistance mechanisms usually involve deregulation of proteins involved in the intrinsic apoptosis pathway, including members of the Bcl-2 family and the p53 tumor suppressor, overexpression of inhibitors of apoptosis proteins (IAPs), or overactivation of signaling pathways such as PI3K/AKT, even in the presence of DNA damage (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>LncRNAs play a key role in DNA damage repair and apoptosis avoidance through regulating the ATM, ATR, and p53 pathways (<xref ref-type="bibr" rid="B20">20</xref>). Homologous recombination (HR) stands out among the DNA repair mechanisms and is the most studied in cancer. It is regulated by ATM, ATR, BRCA1-2, and RAF5, to name a few (<xref ref-type="bibr" rid="B21">21</xref>). The lncRNAs NEAT1, ANRIL, and ScaRNA2 perform regulatory roles in HR by stabilizing ATM and ATR, thus increasing the rate of DNA repair and conferring resistance to cancer cells (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>In this context, NEAT1 and ANRIL are markedly overexpressed in cervical cancer tissues and cell lines, correlating with more severe clinical features and reduced patient survival (<xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>). Suppressing NEAT1 expression hampers cervical cancer glycolytic activity, which has been widely associated with high PD-L1 expression, as well as with the inhibition of apoptosis, lactate production, and immunosuppressive processes (<xref ref-type="bibr" rid="B27">27</xref>), whereas its upregulation produces the opposite effect. NEAT1 contributes to cervical cancer progression through multiple pathways, including the NEAT1/miR-133a/SOX4 axis, and the WNT/&#x3b2;-catenin/PDK1 signaling cascade axis (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>) both pathways are widely associated with the evasion of apoptosis, which is achieved through the transcriptional activation of genes such as survivin (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Meanwhile, ANRIL inhibition reduces the apoptosis evasion capabilities of CC cells (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Similarly, lncRNAs such as APAF1-binding lncRNA (ABL) or LINC00942 have been implicated in drug resistance processes by promoting the escape from apoptosis. ABL competes directly with cytochrome C to interact with apoptotic protease-activating factor 1 (APAF1), thereby preventing apoptosome formation (<xref ref-type="bibr" rid="B33">33</xref>). LINC00942, in turn, regulates c-Myc mRNA stabilization through the LINC00942/MSI2/c-Myc axis, preventing apoptosis as well (<xref ref-type="bibr" rid="B34">34</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Autophagy</title>
<p>Autophagy is a normal cell death process; however, cancer cells resort to autophagy to draw energy from macromolecules, thereby favoring growth and proliferation. Cervical cancer cell lines have shown resistance to drugs such as paclitaxel and cisplatin when autophagy is active, while autophagy-inhibiting drugs such as 3-methyladenine or chloroquine can restore drug cytotoxicity (<xref ref-type="bibr" rid="B35">35</xref>). Paclitaxel resistance is achieved through autophagy by activating HIF1&#x3b1; and the Warburg effect, while HIF2a promotes cisplatin drug resistance (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). In addition, autophagy related to drug resistance is induced by elements and pathways dysregulated in cervical cancer, including PI3K/Akt/mTOR pathway, Beclin1, Bcl-2, Ras, p53, DUSP1, heparinase, HMGB1, and noncoding RNAs (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>Along these lines, lncRNAs, such as LincRNA-p21 and HOTAIR, have positive feedback mechanisms that activate HIF1a transcription in CC (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). This suggests that they could play an important role in resistance processes mediated by autophagy, though this has not yet been fully described.</p>
<p>Similarly, other lncRNAs, such as PVT1 in pancreatic cancer and EIF3J-DT and CRNDE in gastric cancer, have been associated with autophagy processes and resistance to gemcitabine and 5-fluorouracil (5-FU), respectively. Their high expression in CC could lead us to resistance mechanisms that have been little explored in this type of cancer (<xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Aberrant epigenetics</title>
<p>Given that chromatin structures strongly influence transcriptional activity, epigenetic events play a fundamental role, not only in tumor development and progression, but also in the generation of resistance to antitumor drugs (<xref ref-type="bibr" rid="B44">44</xref>). The cancer epigenome is characterized by changes in DNA methylation and histone modification, which allow tumoral progression (<xref ref-type="bibr" rid="B45">45</xref>). Several genes are hypomethylated and hypermethylated in cervical cancer, such as RASSF1A, TFPI2, MEG3, KLF4, IFN-&#x3b3;, RAD51L3, and XRCC2 (<xref ref-type="bibr" rid="B46">46</xref>). Changes in DNA methylation lead to increased drug resistance through the upregulation of the PI3K/AKT, Wnt/&#x3b2;-catenin, Notch, and NF-&#x3ba;B signaling pathways. For instance, in cervical cancer, methylation of the Casp8A2 gene is sufficient to increase drug resistance; on the contrary, hypermethylation of WRN confers cervical cancer cells high sensitivity to the topoisomerase I inhibitor (CPT-11) (<xref ref-type="bibr" rid="B47">47</xref>).</p>
<p>The balance between histone deacetylases (HDACs) and histone acetyltransferases (HATs) also regulates gene transcription. For instance, in cervical cancer, MOF, a HAT enzyme, inhibits replication stress induced by cisplatin (<xref ref-type="bibr" rid="B48">48</xref>), while HDAC6 is involved in cell proliferation and motility (<xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>HOTAIR is one such lncRNA; it may function as a protein scaffold for the Polycomb Repressive Complex 2 (PRC2), which modifies histone residues and binds DNMT3b to methylate promoter regions (<xref ref-type="bibr" rid="B50">50</xref>). On the other hand, lncRNA H19 modulates the activity of ALDH and activates the WNT/&#x3b2;-catenin pathway by interacting with miR-141, causing chemoresistance in colorectal tumors (<xref ref-type="bibr" rid="B51">51</xref>). H19 also interacts with let-7, upregulating LAT2 and OLR1 and leading to increased GSTM3TV2 levels in gemcitabine-resistant pancreatic tumor tissues (<xref ref-type="bibr" rid="B52">52</xref>). In ovarian cancer, NEAT1 knockdown releases miR-770-5p from sponging, which decreases PARP expression. Elevated PARP levels synergize with platinum compounds, improving the efficiency of chemotherapeutic approaches (<xref ref-type="bibr" rid="B53">53</xref>).</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Long noncoding RNAs associated with therapy response</title>
<p>Only a handful of studies have associated lncRNAs with drug resistance in cervical cancer (CC), making it challenging to elucidate the mechanisms underlying drug resistance (<xref ref-type="bibr" rid="B54">54</xref>). Considering the therapeutic schemes (<xref ref-type="bibr" rid="B55">55</xref>) and the reported roles of lncRNAs in response to them, it is important to note that the expression profiles of lncRNAs promoting chemoresistance is similar between cervical cancer (CC) and other gynecological cancers. This allows us to gain insight on the possible role of lncRNAs that have not yet been described in CC, as the involved mechanisms are likely similar. This in-depth analysis could lead to new proposals for establishing markers based on the relationship between lncRNA expression levels and their involvement in drug-dependent resistance. (<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>LncRNAs are involved chemoresistance in CC.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Therapeutic line</th>
<th valign="middle" align="center">Drug</th>
<th valign="middle" align="left">LncRNA</th>
<th valign="middle" align="left">Expression in CC</th>
<th valign="middle" align="left">Source</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="11" align="center">First line</td>
<td valign="middle" rowspan="4" align="center">Cisplatin</td>
<td valign="middle" align="left">H19</td>
<td valign="middle" align="left">Down-regulated</td>
<td valign="middle" align="left">SW480, HCT116 cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B49">49</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">DANCR</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">HeLa, C33 cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B63">63</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">PVT1</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">SiHa cell line</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B65">65</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">ZFAS1</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">HeLa, CaSki cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B66">66</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Carboplatin</td>
<td valign="middle" align="left">SNHG12</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">HeLa, SiHa cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B70">70</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">Paclitaxel</td>
<td valign="middle" align="left">lncRNA KB-1471A8.2</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">A2780, SKOV3 cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B72">72</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">HEIH</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Ishikawa, HHUA cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B74">74</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">NEAT1</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">hESC, Ishikawa, HHUA cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B75">75</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">MALAT1</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">DLBCL cell line</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B77">77</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">PD-1/PD-L1 inhibitors</td>
<td valign="middle" align="left">LINC00473</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">SW&#x2010;1990 cell line</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B78">78</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">UCA1</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">SW480, SW620 cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B93">93</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="14" align="center">Second line</td>
<td valign="middle" align="center">5-Fluorouracil</td>
<td valign="middle" align="left">CCAT1</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">HCT116, HT29 cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B94">94</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Bevacizumab</td>
<td valign="middle" align="left">CRART16</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">SGC, KATO cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B96">96</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">SNHG11</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Colorectal cancer tissues</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B97">97</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Gemcitabine</td>
<td valign="middle" align="left">HCP5</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">Pancreatic cancer tissues, PANC-1, SW 1990 cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B79">79</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">LINC00346</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">PANC-1, Capan-1 cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B80">80</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">Paclitaxel</td>
<td valign="middle" align="left">lncRNA KB-1471A8.2</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">A2780, SKOV3 cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B72">72</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">HEIH</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Ishikawa, HHUA cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B74">74</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">NEAT1</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">hESC, Ishikawa, HHUA cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B75">75</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">MALAT1</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">DLBCL cell line</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B77">77</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="center">Irinotecan</td>
<td valign="middle" align="left">HOTAIR</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">Colorectal and Cervical cancer tissues</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B87">87</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">MALAT1</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">Colorectal cancer tissues</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B84">84</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">UCA1</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">Colorectal cancer tissues</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B85">85</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">H19</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">Colorectal cancer tissues</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B85">85</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">CRNDE</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">Colorectal cancer tissues</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B85">85</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="8" align="center">Other recommended regimens</td>
<td valign="middle" rowspan="4" align="center">Gefitinib</td>
<td valign="middle" align="left">CASC9</td>
<td valign="middle" align="left">Down-regulated</td>
<td valign="middle" align="left">PC9 cell line</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B99">99</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">MITA1</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">HCC827, HCC827GR cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B98">98</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">UCA1</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">NSCLC tissues, PC9 cell line</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B100">100</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">HOST2</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">PC9 cell line</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B101">101</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Lapatinib</td>
<td valign="middle" align="left">GIHCG</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">gastric cancer, melanoma, hepatocarcinoma, thyroid cancer, breast cancer, pancreatic cancer, colorectal cancer cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B104">104</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">SPINT1-AS1</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">gastric cancer, melanoma, hepatocarcinoma, thyroid cancer, breast cancer, pancreatic cancer, colorectal cancer cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B104">104</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Sunitinib</td>
<td valign="middle" align="left">HOTAIR</td>
<td valign="middle" align="left">Up-regulated</td>
<td valign="middle" align="left">786-O, ACHN cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B105">105</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">lncARSR</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Renal cancer tissues, 786-O, ACHN cell lines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B106">106</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s3_1">
<label>3.1</label>
<title>First-line therapy</title>
<p>The first treatments for CC patients are radiosensitizers, mainly platinum compounds such as Cisplatin and Carboplatin; these are often used in combination with microtubule polymerization inhibitors like Paclitaxel or topoisomerase-1 inhibitors such as Topotecan (<xref ref-type="bibr" rid="B55">55</xref>). Though in many cases, patient therapies must be reformulated due to the development of mechanisms that promote or enable resistance to drugs and first-line therapies (<xref ref-type="bibr" rid="B56">56</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<p>The main mechanisms by which tumor cells become resistant to first-line platinum drugs are drug efflux, DNA repair, and evasion of cell death (<xref ref-type="bibr" rid="B57">57</xref>). An enhanced DNA damage response bypasses the effect of cisplatin therapy in several ways. For instance, the heterodimer ERCC1-ERCC4 removes DNA bulky lesions through Nucleotide Excision Repair (NER) (<xref ref-type="bibr" rid="B58">58</xref>). Thus, ERCC1 is negatively correlated with responsiveness to cisplatin, which makes it a prognostic factor (<xref ref-type="bibr" rid="B59">59</xref>). The DNA mismatch repair pathway is also implicated, through the overexpression of MSH2 and downregulation of PMS2 (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>).</p>
<p>Furthermore, cisplatin induces apoptosis to achieve its antitumoral effect; however, in CC cells, the mechanisms leading to apoptosis are dysregulated, and cancer cells escape death. This dysregulation includes overexpression of antiapoptotic proteins such as BCL-2, Bcl-XL, and Bag-1; and downregulation of caspase activators, which decreases caspases in patients with drug resistance (<xref ref-type="bibr" rid="B62">62</xref>). Cisplatin-induced apoptosis requires an active MAPK, while deactivation of other pathways due to mutation or loss of P53 and NK-&#x3ba;&#x3b2; reduces chemotherapy efficacy (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>).</p>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>Cisplatin</title>
<p>It has been proven that some lncRNAs are directly implicated in cisplatin resistance in CC. For example, DANCR binds to miR-665, increasing the nuclear distribution of SMAD by overexpression of TGFBR1 (<xref ref-type="bibr" rid="B65">65</xref>). GAS5 sponges miR-21, enhancing the expression of phosphorylated STAT3 and E2F3; this decreases TIMP3 and PDCD4, leading to a tumoral cisplatin-resistant phenotype (<xref ref-type="bibr" rid="B66">66</xref>). PVT1 overexpression is associated with poor prognosis. It binds to and stabilizes MYC and Nuclein, contributing to cervical cancer development and its inhibition has also been strongly associated with sensitivity to cisplatin treatment (<xref ref-type="bibr" rid="B67">67</xref>). ZFAS1 has been reported to be upregulated in CC tissues. Its increased expression indicates poor prognosis, and its silencing enhances cisplatin sensitivity; however, the mechanism by which this effect occurs is unknown (<xref ref-type="bibr" rid="B68">68</xref>).</p>
<p>Several studies point to UCA1 promoting cisplatin resistance in cervical cancer-derived cells through regulation of caspase-3, p21, CDK and survivin expression (<xref ref-type="bibr" rid="B69">69</xref>). Recently another mechanism was demonstrated in which UCA1 acts as a sponge for miR-195-5p, targeting IKBKB promoting cisplatin resistance (<xref ref-type="bibr" rid="B70">70</xref>).</p>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>Carboplatin</title>
<p>At the time of writing, direct involvement of lncRNAs in carboplatin resistance in CC has not been reported; however, several lncRNAs have been linked to carboplatin resistance in other gynecologic cancers. For example, deregulation of the IncRNA PVT1 has been deemed necessary for resistance in ovarian cancer (<xref ref-type="bibr" rid="B71">71</xref>). LncRNAs such as H19 and SNHG12, which are highly relevant in CC, have been associated with carboplatin resistance in ovarian cancer through the regulation of epigenetic mechanisms (<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B73">73</xref>).</p>
</sec>
<sec id="s3_1_3">
<label>3.1.3</label>
<title>PD-1/PD-L1 inhibitors</title>
<p>Drugs targeted at programmed cell death protein-1 (PD-1) and programmed cell death ligand (PD-L1) are important immune checkpoint inhibitors (ICIs). PD-L1 is overexpressed in tumor cells or untransformed cells within the tumor microenvironment, inhibiting cytotoxic T cells by binding to the PD-1 receptor on activated T cells. PD-1 and PD-L1 inhibitors block this interaction, preventing cancer cells from evading the immune system and acting as ICIs by reactivating the T-cell-mediated tumor cell death (<xref ref-type="bibr" rid="B74">74</xref>). In CC, the specific therapy for PD-L1-positive is relatively new (<xref ref-type="bibr" rid="B55">55</xref>), so the resistance mechanism to this therapy is still to be studied. Some groups have reported a positive correlation between lncRNAs and PD-L1 expression. For example, MALAT1 is a ceRNA for miR-195 in lymphoma (<xref ref-type="bibr" rid="B75">75</xref>) and, in pancreatic cancer, LINC00473 sponges miR-195-5p (<xref ref-type="bibr" rid="B76">76</xref>); both increasing PD-L1 expression and both lncRNAs are overexpressed and are strongly associated with tumor development and poor prognosis in cervical cancer (The long noncoding RNA LINC00473, a target of microRNA 34a, promotes tumorigenesis by inhibiting ILF2 degradation in cervical cancer LncRNA MALAT1 Accelerates Cervical Carcinoma Proliferation by Suppressing miR-124 Expression in Cervical Tumor Cells). However, at the time of writing, no study correlates or characterizes any lncRNA and the development of resistance to PD-L1.</p>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Second-line therapy</title>
<p>The second line of treatment comprises drugs such as Paclitaxel, Gemcitabine, Fluorouracil, and Irinotecan. These are used in patients whose progression continues even after first-line treatment and after 3&#x2013;6 months of progression-free survival (<xref ref-type="bibr" rid="B55">55</xref>).</p>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Paclitaxel</title>
<p>LncRNAs are also associated with resistance to drugs used in combination with cisplatin in gynecologic cancers. The expression of the lncRNA KB-1471A8.2 can inhibit resistance to Paclitaxel in ovarian cancer, decreasing migration and invasion while increasing apoptosis. Overexpressing KB-1471A8.2 suppresses CDK4 expression, decreasing the proportion of cells in S phase and increasing the proportion in G0/G1 phase (<xref ref-type="bibr" rid="B77">77</xref>). On the other hand, lncRNA HEIH binds the EZH2 protein and participates in chromatin remodeling in hepatocellular carcinoma (<xref ref-type="bibr" rid="B78">78</xref>). It also enhances Paclitaxel tolerance in endometrial cancer through the activation of the Mitogen-activated protein kinase (MAPK) pathway proteins such as p38, C-Jun, and C-fos; although the consequential resistance mechanism is still unclear. (<xref ref-type="bibr" rid="B79">79</xref>). So, HEIH and KB-1471A8.2 are apparently antagonistic, but both lead to Paclitaxel resistance.</p>
<p>NEAT1 is overexpressed in CC, where it plays a key role in carcinogenesis and tumoral progression; this lncRNA also regulates cellular processes such as proliferation, migration, and invasion (<xref ref-type="bibr" rid="B25">25</xref>). NEAT1 has also been related to paclitaxel resistance in ovarian cancer, where it sponges miR-194, leading to ZEB1 overexpression. This protein is an Epithelial-Mesenchyme Transition (EMT)-inducing transcription factor. Thus, NEAT1 overexpression leads to enhanced tumor growth and low apoptosis levels in Paclitaxel-resistant ovarian cancer cells (<xref ref-type="bibr" rid="B80">80</xref>).</p>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Gemcitabine</title>
<p>LncRNA-mediated gemcitabine resistance mechanisms have been mostly described in pancreatic cancer through miRNA regulation. At least two lncRNAs promote proliferation, migration, invasion, and apoptosis evasion: HCP5 through the miR-214-3p/HDGF axis and it is also overexpressed in cervical cancer cell lines (<xref ref-type="bibr" rid="B81">81</xref>), and LINC00346 through the miR-188-3p/BRD4 axis It could represent an unexplored target in CC (<xref ref-type="bibr" rid="B82">82</xref>).</p>
<p>Elevated expression of AFAP1-AS1 in cervical cancer is associated with poor patient prognosis. Moreover, individuals in the gemcitabine-resistant group exhibited significantly higher levels of AFAP1-AS1 compared to those in the gemcitabine-sensitive group. Functionally, AFAP1-AS1 enhances tumor growth and contributes to gemcitabine resistance in cervical cancer cells. Mechanistically, AFAP1-AS1 regulates the expression of epidermal growth factor receptor (EGFR) by acting as a molecular sponge for miR-7-5p (<xref ref-type="bibr" rid="B83">83</xref>).</p>
<p>Notably, DLG1-AS1 expression was markedly elevated in gemcitabine-resistant HeLa/GEM and SiHa/GEM cervical cancer cells. Silencing DLG1-AS1 significantly reduced the viability and proliferation of these resistant cells. <italic>In vivo</italic>, tumors in nude mice with DLG1-AS1 knockdown showed reduced volume following gemcitabine treatment. DLG1-AS1 targets miR-16-5p, which regulates HDGF expression. Inhibition of miR-16-5p reversed the effects of DLG1-AS1 knockdown in gemcitabine-resistant cervical cancer cells (<xref ref-type="bibr" rid="B84">84</xref>). In fact, DLG1-AS1 has been identified as the most significantly upregulated lncRNA in cervical cancer tissues, and its elevated expression was associated with poor patient prognosis. Silencing DLG1-AS1 inhibited the proliferation of cervical cancer cells. Further analysis demonstrated that DLG1-AS1 acts as a competing endogenous RNA (ceRNA), binding to miR-107 and thereby preventing it from repressing its target gene, ZHX1 (<xref ref-type="bibr" rid="B85">85</xref>).</p>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Irinotecan</title>
<p>Little has been described regarding the involvement of lncRNAs in the processes leading to Irinotecan resistance. However, key lncRNAs have been detected, including CRNDE, H19, UCA1, HOTAIR, and MALAT1, which also play a key role in the development of CC. In addition, the resistance mediated by MALAT1 and HOTAIR (As mentioned above, both are important in CC) has been extensively linked to polymorphisms detected in both, enabling their use as potential biomarkers of irinotecan sensitivity in colorectal cancer (<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>).</p>
<p>Clinically, elevated HOTAIR expression in cervical cancer tissues correlates with advanced tumor stage, lymph node metastasis, and decreased overall survival (<xref ref-type="bibr" rid="B88">88</xref>). Its potential as a prognostic biomarker is increasingly recognized, as it reflects tumor biological aggressiveness and clinical outcome (<xref ref-type="bibr" rid="B15">15</xref>). HOTAIR plays a crucial role in therapeutic resistance, since its overexpression has been linked to reduced sensitivity to both chemotherapy and radiotherapy (<xref ref-type="bibr" rid="B89">89</xref>). HOTAIR enhances DNA damage repair, inhibits apoptosis, and promotes survival signaling pathways, thereby diminishing the efficacy of cytotoxic treatments. Targeting HOTAIR or its downstream pathways may offer a promising strategy to overcome resistance and improve therapeutic responses in cervical cancer patients (reviewed in <xref ref-type="bibr" rid="B90">90</xref>).</p>
</sec>
<sec id="s3_2_4">
<label>3.2.4</label>
<title>5-Fluorouracile</title>
<p>We have already mentioned before the role of NEAT1 in Paclitaxel resistance, however, has also been reported as a precursor to generate cells resistant to other chemotherapy drugs. The study performed by Shao in 2021 showed the direct correlation between NEAT1 expression and 5-Fu) resistance in CC. the knocking down of NEAT1 by shRNA promoted the sensitivity of 5-Fu in CaSki cells due to the overexpression of miR-34a, this miRNA regulates the glycolysis through targeting LDHA, NEAT1 once again work as ceRNA to miR-34a inhibiting the interaction with its target mRNA and leading to 5-FU resistance in CC (<xref ref-type="bibr" rid="B91">91</xref>).</p>
<p>Substantially overexpressed in CC tissues, the lncRNA UCA1 can regulate proliferation, migration, and invasion by sponging miR-145 (<xref ref-type="bibr" rid="B92">92</xref>). Conversely, mir-23b-3p functions as a tumor suppressor, reducing the proliferation, migration, and invasion by targeting c-Met (<xref ref-type="bibr" rid="B93">93</xref>). The interaction between these ncRNAs has been characterized, albeit only in colorectal cancer. UCA1 sponges miR-23b-3p, leading to overexpression of the EMT-promoting ZNF281, which results in 5-Fu resistance (<xref ref-type="bibr" rid="B94">94</xref>). Another promising lncRNA is CCAT1, which promotes proliferation and invasion in cervical cancer but enhances 5-Fu sensitivity in colorectal cancer (<xref ref-type="bibr" rid="B95">95</xref>). This represents another instance of a resistance mechanism involving lncRNAs that are overexpressed in CC, which remain insufficiently characterized.</p>
</sec>
<sec id="s3_2_5">
<label>3.2.5</label>
<title>Other second-line regimes</title>
<p>In addition to the drugs mentioned above, recent studies based on data from The Cancer Genome Atlas have revealed new drug targets. These molecules regulate signaling pathways that drive tumor progression. As a result, several drugs in clinical stages I-II have been identified as therapy candidates for CC, including therapies against VEGF (Bevacizumab), EGFR (Gefitinib), HER2 (Lapatinib), and tyrosine kinase receptors (Sunitinib) (<xref ref-type="bibr" rid="B96">96</xref>).</p>
<p>Despite the selectivity of targeted therapies, several lncRNAs have been reported to orchestrate resistance mechanisms to such drugs in various types of cancer. For example, the lncRNAs SNHG11 and CRART16 mediate resistance to bevacizumab through regulation of the miR-1207-5p/ABCC1 axis in colorectal cancer and miR-122-5p/FOS in gastric cancer, respectively (<xref ref-type="bibr" rid="B97">97</xref>, <xref ref-type="bibr" rid="B98">98</xref>).</p>
<p>Gefitinib resistance has been associated with the expression of several lncRNAs, mainly in small cell lung cancer (NSCLC). The lncRNA MITA1, for example, favors an increase in cell viability and induction of autophagy in the presence of Gefitinib (<xref ref-type="bibr" rid="B99">99</xref>). Similarly, epigenetic regulations of lncRNAs such as UCA1, which is also overexpressed in CC, have also been associated with Gefitinib resistance through interaction with EZH2 (<xref ref-type="bibr" rid="B100">100</xref>&#x2013;<xref ref-type="bibr" rid="B102">102</xref>). The lncRNA HOST2 favors Gefitinib resistance by sponging miR-621 (<xref ref-type="bibr" rid="B103">103</xref>), while CCAT1 allows resistance to this drug by repressing miR-218 in NSCLC (<xref ref-type="bibr" rid="B104">104</xref>), and the overexpression of these two lncRNAs promotes cell proliferation and migration (<xref ref-type="bibr" rid="B105">105</xref>, <xref ref-type="bibr" rid="B106">106</xref>).</p>
<p>The extensive participation of lncRNAs in various biological processes has also allowed the recognition of lncRNAs as biomarkers of drug sensitivity or as indicators of resistance to therapies such as lapatinib. LncRNAs such as SPINT1-AS1 in the NCI-N87 and MCF7 cell lines and GAS5 in the SKBR-3/Tr cell line have been described as lapatinib sensitivity indicators (<xref ref-type="bibr" rid="B107">107</xref>). Overexpression of the lncRNA GIHCG has been also reported as a biomarker of lapatinib resistance (<xref ref-type="bibr" rid="B108">108</xref>).</p>
<p>LncRNAs also mediate resistance to sunitinib. HOTAIR regulates miR-17-5p, favoring autophagy in renal cancer (<xref ref-type="bibr" rid="B109">109</xref>); and the lncARSR/AXL/c-MET and lncRNECVSR/ER&#x3b2;/Hif2 axes regulate cell proliferation, leading to sunitinib resistance in renal cell carcinoma (<xref ref-type="bibr" rid="B110">110</xref>, <xref ref-type="bibr" rid="B111">111</xref>).</p>
</sec>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Signaling pathway inhibitors</title>
<p>On the other hand, there are reports of lncRNAs regulating signaling pathways such as ERK/MAPK, Wnt/&#x3b2;-catenin, and the PI3k/AKT as, have been related to lncRNAs, some of the most relevant that favor tumor development and drug resistance in CC (<xref ref-type="bibr" rid="B112">112</xref>). This has led to the development of drugs specifically targeting effectors of these signaling pathways. Within the ERK/MAPK pathway, relevance has been given to ERK inhibitors in BRAF or RAS mutations, highlighting ulixertinib, which is in the early clinical phases (<xref ref-type="bibr" rid="B113">113</xref>). In the PI3K/AKT pathway, several inhibitors targeting PI3K and mTOR proteins have been developed whose relevance has reached even clinical stages, including buparlisib (phase II clinical trial) and gedatosilb (phase Ib clinical trial) (<xref ref-type="bibr" rid="B114">114</xref>). Finally, for the Wnt/&#x3b2;-catenin pathway, the focus has been on the development of inhibitors targeting &#x3b2;-catenin, inhibitors of tankinase, and inhibitors of &#x3b2;-catenin/TCF interaction (CRT3/iCRT5/iCRT14/BC21/BC23/HI-B1), to mention a few (<xref ref-type="bibr" rid="B115">115</xref>).</p>
<p>Although the development of the signaling pathway inhibitors has advanced substantially, very little has been described about the resistance mechanisms themselves. Recent studies have allowed us to glimpse into new mechanisms by which lncRNAs favor resistance to specific inhibitors. HOTAIR, for example, has been highlighted as an important regulator of the Wnt/&#x3b2;-catenin and PI3K/AKT pathways even in the presence of the inhibitor ICRT14; knockdown of HOTAIR optimized inhibition and led to cell death in the HeLa cell line (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B116">116</xref>).</p>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Concluding remarks</title>
<p>After reviewing the available literature on lncRNAs and drug resistance in CC, it is evident that only a few lncRNAs are directly associated with chemoresistance to some therapies. The most widely described mechanism is the competitive binding of lncRNAs to miRNAs, which prevents the downregulation of their mRNA targets. This ceRNA effect results in the alteration of cellular processes, such as EMT, migration, invasion, and proliferation, ultimately leading to chemoresistance to standard treatments. However, when compared to other gynecological cancers, such as ovarian and endometrial, in which the same drugs are employed, cervical cancer remains poorly explored (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Interestingly, the expression profiles of lncRNAs that promote chemoresistance are similar in CC and other gynecological cancers, providing insight into the mechanisms that may underlie the development of chemoresistance to therapies used in CC. The study of lncRNAs and the drug resistance mechanisms they participate in is a promising tool for developing better therapeutic schemes that will undoubtedly expand in the following years, resulting in more favorable clinical outcomes for patients with CC.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Treatment regimens for CC associated with LncRNAs. We show some described lncRNAs mediating resistance in the first- and second-line therapies.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1644104-g002.tif">
<alt-text content-type="machine-generated">Chart detailing lncRNA-mediated resistance mechanisms for chemotherapy drugs. First-line therapies include cisplatin, carboplatin, and paclitaxel, associated with mechanisms like miRNA sponges and chromatin remodeling. Second-line therapies include gemcitabine, irinotecan, and 5-fluorouracil, linked to miRNA sponges, polymorphisms, and EMT. Various lncRNAs and miRNAs are involved in these processes.</alt-text>
</graphic>
</fig>
</sec>
</body>
<back>
<sec id="s5" sec-type="author-contributions">
<title>Author contributions</title>
<p>ST-C: Writing &#x2013; original draft, Conceptualization, Investigation. CC-R: Investigation, Writing &#x2013; original draft, Conceptualization. VG-C: Writing &#x2013; original draft, Investigation. DS-M: Conceptualization, Investigation, Writing &#x2013; original draft.&#xa0;MO-V: Investigation, Writing &#x2013; original draft. MR-D: Writing &#x2013; original draft, Investigation. OP-Z: Writing &#x2013; original draft, Investigation. DL: Writing &#x2013; review &amp; editing, Investigation. EL-U: Writing &#x2013; review &amp; editing. CP-P: Conceptualization, Investigation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s6" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec id="s7" 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>
<p>The reviewer MA declared a shared parent affiliation with the author(s) MO-V and DL to the handling editor at time of review.</p>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s8" 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="s9" 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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