<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "journalpublishing3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en" article-type="research-article">
<?release-delay 0|0?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ETM</journal-id>
<journal-title-group>
<journal-title>Experimental and Therapeutic Medicine</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-0981</issn>
<issn pub-type="epub">1792-1015</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">ETM-32-3-13230</article-id>
<article-id pub-id-type="doi">10.3892/etm.2026.13230</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Role and insights of human papillomavirus E5 oncoprotein in cervical carcinogenesis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Rani</surname><given-names>Jyoti</given-names></name>
<xref rid="af1-ETM-32-3-13230" ref-type="aff">1</xref>
<xref rid="af2-ETM-32-3-13230" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sisodiya</surname><given-names>Sandeep</given-names></name>
<xref rid="af1-ETM-32-3-13230" ref-type="aff">1</xref>
<xref rid="af3-ETM-32-3-13230" ref-type="aff">3</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kumar</surname><given-names>Kapil</given-names></name>
<xref rid="af2-ETM-32-3-13230" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kumar</surname><given-names>Sandeep</given-names></name>
<xref rid="af1-ETM-32-3-13230" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Khan</surname><given-names>Asiya</given-names></name>
<xref rid="af4-ETM-32-3-13230" ref-type="aff">4</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Gupta</surname><given-names>Ekta</given-names></name>
<xref rid="af5-ETM-32-3-13230" ref-type="aff">5</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Hussain</surname><given-names>Showket</given-names></name>
<xref rid="af1-ETM-32-3-13230" ref-type="aff">1</xref>
<xref rid="c1-ETM-32-3-13230" ref-type="corresp"/>
</contrib>
</contrib-group>
<aff id="af1-ETM-32-3-13230"><label>1</label>HPV Diagnostics, Research and Innovation Laboratory, ICMR-National Institute of Cancer Prevention and Research, Noida, Uttar Pradesh 201301, India</aff>
<aff id="af2-ETM-32-3-13230"><label>2</label>Department of Zoology, Meerut College, C.C.S. University, Meerut, Uttar Pradesh 250001, India</aff>
<aff id="af3-ETM-32-3-13230"><label>3</label>Symbiosis School of Biological Sciences (SSBS), Symbiosis International (Deemed University) (SIU), Pune, Maharashtra 412115, India</aff>
<aff id="af4-ETM-32-3-13230"><label>4</label>Multidisciplinary Research Unit, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh 201310, India</aff>
<aff id="af5-ETM-32-3-13230"><label>5</label>Division of Clinical Oncology, ICMR-National Institute of Cancer Prevention and Research, Noida, Uttar Pradesh 201301, India</aff>
<author-notes>
<corresp id="c1-ETM-32-3-13230"><italic>Correspondence to:</italic> Dr Showket Hussain, HPV Diagnostics, Research and Innovation Laboratory, ICMR-National Institute of Cancer Prevention and Research, Noida Authority Office Road, Sector 39, Noida, Uttar Pradesh 201301, India <email>showket.hussain@gov.in</email></corresp>
</author-notes>
<pub-date pub-type="collection"><month>09</month><year>2026</year></pub-date>
<pub-date pub-type="epub"><day>06</day><month>07</month><year>2026</year></pub-date>
<volume>32</volume>
<issue>3</issue>
<elocation-id>235</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>06</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; 2026 Rani et al.</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>Cervical cancer is a highly prevalent malignancy affecting the health of women, and a leading cause of cancer-related mortality worldwide, particularly in low- and middle-income countries. The primary cause of cervical is persistent infection with high-risk human papillomavirus (HPV), particularly through the activation of its oncoproteins E6 and E7 that interact with host tumor suppressor genes. Another HPV oncoprotein, E5, has been reported to alter several tumorigenic signaling pathways; however, its precise role in cervical cancer has not yet been fully elucidated. Therefore, the aim of the present study was to perform a comprehensive <italic>in silico</italic> analysis to investigate the HPV-E5 associated hub genes and their associated signaling pathways. Five microarray datasets, namely GSE265111, GSE26888, GSE9750, GSE7803 and GSE5787 were retrieved from the Gene Expression Omnibus (GEO) database using &#x2018;HPV E5&#x2019; and &#x2018;cervical cancer&#x2019; as search terms. A total of 8,202 differentially expressed genes (DEGs) were common to all five datasets, from which the 10 hub genes, including several nucleoporins (NUPs) were identified. Kaplan-Meier analysis of these genes revealed that the expression of NUP85, NUP88 and NUP-like 1/NUP58 genes was associated with overall survival, suggesting the prognostic significance of these genes. In addition, three pairs of genes, specifically: NUP5 and NUP160; NUP50 and NUP98; and NUP160 and NUP98 were observed to exhibit significant co-occurrence, suggesting that they may be interdependent and involved in shared biological pathways in cervical cancer pathogenesis. Data from the Human Protein Atlas revealed that NUP50, NUP98 and NUP160 were differentially expressed in HPV-positive and -negative cervical cancer cell lines. The findings of the present study have improved our understanding of the potential role of HPV E5 in cervical carcinogenesis. However, further functional validation is necessary to confirm the findings.</p>
</abstract>
<kwd-group>
<kwd>cervical cancer</kwd>
<kwd>human papillomavirus</kwd>
<kwd>E5 oncoprotein</kwd>
<kwd>differentially expressed genes</kwd>
<kwd>protein-protein interaction</kwd>
<kwd>hub genes</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding:</bold> The Indian Council of Medical Research (ICMR), New Delhi, Government of India, provided fellowship ICMR-SRF and resources (ref. no: 3/2/2/36/2019/NCD-III).</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Cervical cancer is the most common gynecological malignancy and ranks second in cancer-related mortality among women in India. In addition, according to GLOBOCAN 2022 estimates, cervical cancer is the fourth most common cancer among women worldwide. The estimated age-standardized incidence and mortality rates of cervical cancer per 100,000 females are 662,301 (6.9&#x0025;) and 348,874 (8.1&#x0025;), respectively (<xref rid="b1-ETM-32-3-13230" ref-type="bibr">1</xref>). Major contributing factors include persistent infection with high-risk (HR) human papillomavirus (HPV), early onset of sexual activity, long-term use of oral contraceptives (&#x003E;5 years), multiple sexual partners and lifestyle factors including consumption of alcohol and tobacco, ultraviolet light exposure, poor nutrition and a sedentary lifestyle (<xref rid="b2-ETM-32-3-13230" ref-type="bibr">2</xref>).</p>
<p>HPV plays a major role in the pathogenesis of cervical cancer. There are &#x003E;200 different subtypes of HPV, of which 40 strains are known to be sexually transmitted and associated with cervical, vulvar, vaginal and anal diseases (<xref rid="b3-ETM-32-3-13230" ref-type="bibr">3</xref>). However, persistent infection with HR HPV subtypes, particularly HPV-16, -18, -31, -33, -35, -45, -52 and -58, leads to the dysregulated proliferation of healthy cervical cells, resulting in pre-malignant lesions that may become malignant over time (<xref rid="b4-ETM-32-3-13230" ref-type="bibr">4</xref>). Among these, HPV-16 and -18 account for &#x003E;70&#x0025; of all cervical cancer cases (<xref rid="b5-ETM-32-3-13230" ref-type="bibr">5</xref>).</p>
<p>Population-based studies have shown that the incidence of new cases of cervical cancer has declined over the past 20 years, primarily due to increased cervical cancer screening and vaccination (<xref rid="b6-ETM-32-3-13230" ref-type="bibr">6</xref>,<xref rid="b7-ETM-32-3-13230" ref-type="bibr">7</xref>). Despite World Health Organization recommendations, only 100 countries have included HPV vaccination in their national immunization programs (<xref rid="b8-ETM-32-3-13230" ref-type="bibr">8</xref>). The implementation of HPV vaccination has led to significant reductions in HPV infection rates, anogenital wart diagnoses and high-grade cervical lesions among women, and reported to provide herd immunity benefits in boys and older women (<xref rid="b9-ETM-32-3-13230" ref-type="bibr">9</xref>). However, in a number of low- and middle-income countries, including India, the integration of HPV vaccination into national immunization programs has not yet occurred (<xref rid="b10-ETM-32-3-13230" ref-type="bibr">10</xref>,<xref rid="b11-ETM-32-3-13230" ref-type="bibr">11</xref>). A major issue is the affordability of the currently available HPV vaccines.</p>
<p>The HPV genome is approximately eight kilobases in length and consists of double-stranded DNA. It encodes six early genes (E1, E2, E4, E5, E6 and E7) involved in viral replication and oncogenesis, along with two late genes (L1 and L2) contributing to capsid formation. The early genes regulate HPV genome replication, transcription, cell cycle progression, cell signaling and structural modifications in infected cells, while late genes are required for virus propagation (<xref rid="b12-ETM-32-3-13230" ref-type="bibr">12</xref>). A number of studies have demonstrated the impact of E1, E2, E4, E6 and E7 oncoproteins on cervical cancer (<xref rid="b13-ETM-32-3-13230 b14-ETM-32-3-13230 b15-ETM-32-3-13230 b16-ETM-32-3-13230" ref-type="bibr">13-16</xref>). HPV 16 E5 is a hydrophobic protein comprising 83 amino acids that localizes in the cell membrane, endosomes and Golgi apparatus (<xref rid="b17-ETM-32-3-13230" ref-type="bibr">17</xref>). It impairs the degradation of activated epidermal growth factor receptor (EGFR) by interfering with the acidification of late endosomes (<xref rid="b18-ETM-32-3-13230 b19-ETM-32-3-13230 b20-ETM-32-3-13230" ref-type="bibr">18-20</xref>). HPV16 E5 downregulates the expression of the tumor suppressor proteins p21 and p27, both of which are cyclin-dependent kinase (CDK) inhibitors that regulate the cell cycle by inhibiting CDK activity.</p>
<p><italic>In vitro</italic> studies have demonstrated that HPV16 E5 increases the malignancy of cervical cancer cells by promoting proliferation, migration and actin cytoskeleton-mediated invasion (<xref rid="b21-ETM-32-3-13230" ref-type="bibr">21</xref>). One such study showed that HPV16 infection leads to an increase in the expression levels of the Met receptor, a crucial growth factor receptor involved in tumor cell motility, invasion and metastasis. This upregulation of Met is primarily mediated by the viral oncogene E5, with a lesser contribution from E6. The mechanism by which E5 induces Met expression involves the EGFR. E5 increases EGFR expression at the mRNA level, and this upregulation is implicated in the induction of Met (<xref rid="b22-ETM-32-3-13230" ref-type="bibr">22</xref>). This suggests a complex crosstalk between the EGFR and Met signaling pathways mediated by HPV oncogenes (<xref rid="b23-ETM-32-3-13230" ref-type="bibr">23</xref>). Furthermore, another study proposed that the known antiviral agent rimantadine could be utilized to counteract this resistance mechanism, thereby improving treatment outcomes for patients with head and neck cancer. The study suggested that rimantadine may have the potential to enhance the efficacy of immunotherapy by inhibiting the action of HPV E5 and restoring the sensitivity of tumors to immune checkpoint blockade (<xref rid="b24-ETM-32-3-13230" ref-type="bibr">24</xref>).</p>
<p>Pertinently, novel approaches for improved diagnostics, effective vaccines and increased awareness among women from lower socioeconomic backgrounds are required for effective cervical cancer management. The present study performed an <italic>in silico</italic> analysis focused on the E5 oncoprotein of HPV and explored the hub genes and related signaling pathways that contribute to the progression of cervical cancer. The expression of certain hub genes was validated using reverse transcription-quantitative PCR (RT-qPCR). The findings from this study may provide insights into the molecular etiopathogenesis of cervical cancer, which could be useful in the development of novel, high-efficacy diagnostics and vaccines.</p>
</sec>
<sec sec-type="Materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Extraction of microarray datasets from the Gene Expression Omnibus (GEO)</title>
<p>The GEO database of the National Center for Biotechnology Information (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/geo">https://www.ncbi.nlm.nih.gov/geo</ext-link>) (<xref rid="b25-ETM-32-3-13230" ref-type="bibr">25</xref>) was searched using the terms &#x2018;HPV E5&#x2019; and &#x2018;cervical cancer&#x2019;. The search yielded 24 results, from which five microarray data sets, specifically GSE26888(<xref rid="b26-ETM-32-3-13230" ref-type="bibr">26</xref>), GSE26511(<xref rid="b27-ETM-32-3-13230" ref-type="bibr">27</xref>), GSE9750(<xref rid="b28-ETM-32-3-13230" ref-type="bibr">28</xref>), GSE5787(<xref rid="b29-ETM-32-3-13230" ref-type="bibr">29</xref>) and GSE7803(<xref rid="b30-ETM-32-3-13230" ref-type="bibr">30</xref>), were selected for analysis.</p>
<p>The GSE26888 dataset contains expression data from HeLa cells transiently transfected with control or SON small interfering RNA (three control and three transfected samples) for 66 h, followed by RNA isolation and profiling using an Affymetrix GeneChip Human Genome U133A 2.0 array (<xref rid="b26-ETM-32-3-13230" ref-type="bibr">26</xref>). The GSE26511 dataset includes transcriptome profiles from 20 patients with negative and 19 patients with positive lymph node status (<xref rid="b27-ETM-32-3-13230" ref-type="bibr">27</xref>). GSE9750 comprises transcriptomic data from 33 primary tumors, nine cervical cancer cell lines and 24 normal cervical epithelium samples (<xref rid="b28-ETM-32-3-13230" ref-type="bibr">28</xref>). The GSE5787 dataset consists of 33 biopsies from 11 patients, with each tumor sampled from two to five different regions, and subjected to RNA extraction and hybridization using Affymetrix U133 Plus 2.0 oligonucleotide chips (<xref rid="b29-ETM-32-3-13230" ref-type="bibr">29</xref>). GSE7803 contains 10 normal cervical epithelium samples, seven high-grade intraepithelial lesions and 21 invasive squamous cell carcinoma samples, all obtained via laser capture microdissection. For each sample, two rounds of T7-based linear RNA amplification were performed using the Arcturus RiboAmp kit, followed by analysis with the Affymetrix HG_U133A array (<xref rid="b30-ETM-32-3-13230" ref-type="bibr">30</xref>).</p>
<p>The present study included samples from cervical cancer cell lines and patients with cervical cancer confirmed to be infected with HPV, and excluded samples from patients with other comorbidities or without HPV infection. A schematic overview of the analysis pipeline is shown in <xref rid="f1-ETM-32-3-13230" ref-type="fig">Fig. 1</xref>.</p>
</sec>
<sec>
<title>Analysis using the GEO2R tool</title>
<p>The differentially expressed genes (DEGs) between HPV-positive cervical cancer tissues or cells and normal tissues or cells were identified using the GEO2R tool (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/geo/geo2r/">https://www.ncbi.nlm.nih.gov/geo/geo2r/</ext-link>) based on thresholds of -log<sub>10</sub>(P-value) &#x003C;0.05 on the y-axis and -log<sub>2</sub>(fold change) &#x003C;-1 and &#x003E;1 on the x-axis (<xref rid="b25-ETM-32-3-13230" ref-type="bibr">25</xref>).</p>
</sec>
<sec>
<title>Intersection analysis</title>
<p>The DEGs common to these five microarray datasets were selected by intersection analysis performed by the construction of a Venn diagram using an online Venn diagram tool (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://bioinformatics.psb.ugent.be/webtools/venn/">https://bioinformatics.psb.ugent.be/webtools/venn/</ext-link>).</p>
</sec>
<sec>
<title>Gene enrichment analysis</title>
<p>Gene enrichment analysis and functional annotation were performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) version 2021(<xref rid="b31-ETM-32-3-13230" ref-type="bibr">31</xref>). Furthermore, Gene Ontology (GO) analysis (<xref rid="b32-ETM-32-3-13230" ref-type="bibr">32</xref>) was performed to categorize the biological roles of the DEGs into biological processes (BP), cellular components (CC) and molecular functions (MF) (<xref rid="b33-ETM-32-3-13230" ref-type="bibr">33</xref>). In addition, pathway analysis was conducted using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database to identify significantly enriched signaling pathways (P&#x003C;0.05) (<xref rid="b34-ETM-32-3-13230" ref-type="bibr">34</xref>).</p>
</sec>
<sec>
<title>Protein-protein interaction (PPI) network and hub gene analysis</title>
<p>The PPI network of DEGs was generated using the Search Tool for the Retrieval of Interacting Genes (STRING) database and visualized with Cytoscape software (version 3.9.1) (<xref rid="b35-ETM-32-3-13230" ref-type="bibr">35</xref>). Key genes and sub-networks within the PPI network were identified using the CytoHubba plugin for Cytoscape (<xref rid="b36-ETM-32-3-13230" ref-type="bibr">36</xref>). Among the 11 topological analysis methods available in CytoHubba, Maximal Clique Centrality (MCC) was selected due to its superior performance. Without the newly proposed method, MCC outperforms the others by identifying more essential proteins among the top-ranked results, both in high-degree and low-degree protein groups among other 11 methods (<xref rid="b36-ETM-32-3-13230" ref-type="bibr">36</xref>). MCC was applied as a filter with the following parameters: Degree cut off, 2; maximum depth, 100; node score cut off, 0.2; and k-core, 2. This identified the top 10 significant hub genes: Nucleoporin (NUP)160, NUP85, NUP205, SEC13 homolog, nuclear pore and COPII coat complex component (SEC13), NUP50, NUP37, NUP98, NUP88, NUP-like 1 (NUPL1; also known as NUP58) and NUP133. cBioportal (<xref rid="b37-ETM-32-3-13230" ref-type="bibr">37</xref>) was used to check the mutual exclusivity or co-occurrence of these genes, and an OncoPrint of the 10 hub genes in cervical cancer was constructed Gene Card was used for find out the function of the key genes (<xref rid="b38-ETM-32-3-13230" ref-type="bibr">38</xref>). Kaplan-Meier survival analysis of the hub genes was performed using Gene Expression Profiling Interactive Analysis (GEPIA2) (<xref rid="b39-ETM-32-3-13230" ref-type="bibr">39</xref>). In GEPIA2 was provided the gene expression analysis for survival analysis based on tumor (altered group) and normal (unaltered group) samples from the TCGA and GTEx database.</p>
</sec>
<sec>
<title>Human Protein Atlas (HPA) analysis</title>
<p>The HPA (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.proteinatlas.org/">https://www.proteinatlas.org/</ext-link>) leverages data from The Cancer Genome Atlas database and uses various techniques to analyze protein expression and localization in various cancer tissues (<xref rid="b40-ETM-32-3-13230" ref-type="bibr">40</xref>). In the present study, the HPA database was used to examine the expression of NUP50, NUP98 and NUP160 between tumor and normal tissues as determined by immunohistochemical (IHC) analysis. IHC data were available for NUP50 (antibody ID: HPA047162) but not for NUP98 or NUP160.</p>
</sec>
<sec>
<title>GeneMANIA analysis</title>
<p>The GeneMANIA database was used to explore the gene-gene interaction and PPI networks of NUP genes (<xref rid="b41-ETM-32-3-13230" ref-type="bibr">41</xref>). It is an online tool that integrates multiple types of biological interactions and annotations to predict associations between genes.</p>
</sec>
<sec>
<title>Gene-microRNA (miRNA/mir) interaction network analysis</title>
<p>A gene-miRNA interaction network analysis was conducted to identify miRNAs that closely interact with the target genes. This analysis was conducted by inputting the genes of interest into NetworkAnalyst a web-based tool that integrates multiple biological interaction databases (<xref rid="b42-ETM-32-3-13230" ref-type="bibr">42</xref>).</p>
</sec>
<sec>
<title>Validation of in-silico based key hub genes in cervical cancer cells. Cervical cancer cell lines and maintenance</title>
<p>The human cervical cancer cell lines used in this study were HPV16-positive SiHa, HPV18-positive HeLa and HPV-negative C33A. These cell lines were procured from the National Centre for Cell Science cell repository in Pune, India. The C33A and HeLa cells were maintained in Minimum Essential Medium and SiHa cells were maintained in Dulbecco&#x0027;s Modified Eagle&#x0027;s Medium (cat nos. 11095-072 and 11965-084; Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10&#x0025; fetal bovine serum (cat. no. 16000-044; Gibco; Thermo Fisher Scientific, Inc.) and 1&#x0025; penicillin-streptomycin (cat. no. 15070-063; Gibco; Thermo Fisher Scientific, Inc.) at 37&#x02DA;C in 5&#x0025; CO<sub>2</sub>.</p>
<p><italic>mRNA expression: RNA extraction and RT-qPCR.</italic> Among the top 10 genes, NUP50, NUP98 and NUP160 exhibited significant co-occurrence. To examine the gene expression patterns of these three genes, total RNA was extracted from the C33a, SiHa and HeLa cervical cancer cell lines using the TRIzol<sup>&#x00AE;</sup>-chloroform method (cat. no. 10296010; Invitrogen; Thermo Fisher Scientific, Inc.). DNAse I (Fermentas; Thermo Fisher Scientific, Inc.) was used to remove any DNA contamination (<xref rid="SD1-ETM-32-3-13230" ref-type="supplementary-material">Fig. S1</xref>). In addition, RNA purity and concentration were measured using a DS-11 Spectrometer (DeNovix) according to the manufacturer&#x0027;s protocol (priming for 5 min at 25&#x02DA;C, reverse transcription for 20 min at 46&#x02DA;C, RT inactivation for 1 min at 95&#x02DA;C). cDNA was then synthesized from the RNA using a cDNA synthesis kit as per manufacture instructions (cat. no. 1708840; Bio-Rad Laboratories, Inc.).</p>
<p>Subsequently, qPCR was performed to assess the expression of NUP50, NUP98 and NUP160 using SYBR Green PCR chemistry (cat. no. 1725121; Bio-Rad Laboratories, Inc.) on a CFX96<sup>&#x2122;</sup> Real-Time System (C1000<sup>&#x2122;</sup> Thermal Cycler; Bio-Rad Laboratories, Inc.). Primers were designed using Primer 3 software and their sequences are shown in <xref rid="SD6-ETM-32-3-13230" ref-type="supplementary-material">Table SI</xref>. The qPCR thermocycling conditions were as follows. Initial denaturation at 95&#x02DA;C for 5 min and 56&#x02DA;C for 1 min, followed by 40 cycles of 95&#x02DA;C for 10 sec, 65&#x02DA;C for 5 sec, 95&#x02DA;C for 50 sec, and a final extension at 72&#x02DA;C for 1 min. The expression levels of NUP50, NUP98 and NUP160 were quantified using the 2<sup>-&#x0394;&#x0394;Cq</sup> method, with normalization to &#x03B2;-actin (<xref rid="b43-ETM-32-3-13230" ref-type="bibr">43</xref>).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Quantitative data are presented as the mean &#x00B1; SD and all experiments were performed in triplicates. SPSS20.0 software (IBM Corp.) was used to perform the statistical analysis. Differences in quantitative data were compared by one-way ANOVA followed by post-hoc analysis using Tukey&#x0027;s test. P&#x003C;0.05 was considered to indicate statistical significance.</p>
</sec>
</sec>
</sec>
<sec sec-type="Results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Identification of DEGs</title>
<p>The five datasets included in the analysis comprised GSE26511, GSE7803 and GSE5787 with data on human cervical cancer cases, GSE26888 with data on cervical cancer cell lines, and GSE9750 with data on both human cervical cancer cases and cell lines. Analysis with the GEO2R tool revealed a total of 176,098 DEGs in these five datasets. The dysregulated genes in each data set are shown as volcano plots (<xref rid="f2-ETM-32-3-13230" ref-type="fig">Fig. 2</xref>). Intersection analysis revealed a total of 8,202 DEGs were common to all five datasets, as depicted in a Venn diagram (<xref rid="f3-ETM-32-3-13230" ref-type="fig">Fig. 3</xref>).</p>
</sec>
<sec>
<title>Identification of enriched genes and pathways</title>
<p>The 8,202 DEGs were subjected to functional annotation using the DAVID online database to identify enriched genes and pathways. Among these DEGs, 5,655 (62.8&#x0025;) were enriched in 19 MF categories (<xref rid="SD7-ETM-32-3-13230" ref-type="supplementary-material">Table SII</xref>), 4,463 (60.2&#x0025;) were enriched in 40 BPs (<xref rid="SD8-ETM-32-3-13230" ref-type="supplementary-material">Table SIII</xref>) and 6,529 (88.1&#x0025;) were enriched in 22 CCs (<xref rid="SD9-ETM-32-3-13230" ref-type="supplementary-material">Table SIV</xref>). In addition, 3,593 DEGs were enriched in 175 KEGG pathways, as depicted in <xref rid="SD10-ETM-32-3-13230" ref-type="supplementary-material">Table SV</xref>.</p>
</sec>
<sec>
<title>PPI network and hub gene identification</title>
<p>The 3,593 DEGs enriched in KEGG pathways were further analyzed by the construction of a PPI network using the STRING plugin in Cytoscape. The PPI network comprised 1,679 proteins, corresponding to the DEGs, and was further analyzed using another Cytoscape plugin, CytoHubba, to identify the top 10 hub proteins. These comprised NUP160, NUP85, NUP205, SEC13, NUP50, NUP37, NUP98, NUP88, NUPL1 and NUP133. These hub proteins are illustrated in a PPI network (<xref rid="SD2-ETM-32-3-13230" ref-type="supplementary-material">Fig. S2</xref>), with decreasing order of significance represented by a color gradient from red to orange to yellow. The corresponding genes are involved in several signaling pathways and processes, including &#x2018;transport of the SLBP independent mature mRNA&#x2019;, &#x2018;cell cycle, mitotic&#x2019;, &#x2018;EML4 and NUDC in mitotic spindle formation&#x2019; and &#x2018;gene silencing by RNA&#x2019;, as shown in <xref rid="tI-ETM-32-3-13230" ref-type="table">Table I</xref>.</p>
</sec>
<sec>
<title>Co-occurrence of identified hub genes</title>
<p>The top 10 hub genes were further analyzed using cBioPortal to determine their mutual exclusivity or co-occurrence. Significant co-occurrence was observed for three gene pairs, namely NUP50 and NUP98, NUP160 and NUP50, and NUP160 and NUP98 (P&#x003C;0.001; <xref rid="tII-ETM-32-3-13230" ref-type="table">Table II</xref>).</p>
</sec>
<sec>
<title>Identification of significantly expressed hub genes in cervical cancer development and prognosis</title>
<p>To underscore the clinical significance of the identified hub genes in cervical cancer progression, an OncoPrint was created using the cBioPortal online tool. The analysis revealed various genetic alterations, including deletions, amplifications, missense mutations, mRNA upregulations and downregulations for each hub gene (<xref rid="f4-ETM-32-3-13230" ref-type="fig">Fig. 4A</xref>). Among the top 10 hub genes, NUP133 had the highest frequency of genetic alterations in cervical cancer (26&#x0025;) followed by NUP98 (14&#x0025;). However, overall and progression-free survival analyses of these 10 genes combined did not yield statistically significant results (<xref rid="f4-ETM-32-3-13230" ref-type="fig">Fig. 4B</xref> and <xref rid="f4-ETM-32-3-13230" ref-type="fig">C</xref>). Therefore, a survival analysis was performed for each hub gene individually. The results showed that three genes, namely NUP85 (P=0.047), NUP88 (P=0.023) and NUPL1/NUP58 (P=0.00038) were significantly associated with prognosis in cervical squamous cell carcinoma and endocervical adenocarcinoma, where high NUP85 and NUP88 and low NUPL1 are associated with a good prognosis (<xref rid="SD3-ETM-32-3-13230" ref-type="supplementary-material">Fig. S3</xref>).</p>
</sec>
<sec>
<title>Gene expression analysis of NUP50, NUP98 and NUP160 in cervical cancer cell lines</title>
<p>RT-qPCR was performed to validate the expression of the genes that were shown to have a significant mutual co-occurrence. The results revealed that the expression levels of NUP50, NUP98 and NUP160 genes were significantly upregulated in the HPV-positive SiHa and HeLa cell lines compared with those in the HPV-negative C33A cell line (<xref rid="f5-ETM-32-3-13230" ref-type="fig">Fig. 5</xref>). These findings clearly indicate an association between the expression of these genes and HPV-positive cervical cancer.</p>
</sec>
<sec>
<title>Immunohistochemistry: Analysis using HPA data</title>
<p>IHC staining images from the HPA were analyzed to compare protein expression between normal and cervical cancer tissues (<xref rid="f4-ETM-32-3-13230" ref-type="fig">Fig. S4A</xref>). A total of 374 and 383 samples were included in the comparative analysis. The results revealed that NUP50 was highly expressed in the glandular and squamous epithelial cells of normal and cervical cancer tissues. However, in cervical cancer cell lines, SiHa, CaSki, and HeLa (HPV-positive) exhibited lower NUP50 mRNA expression compared with those in the HPV-negative cervical cancer cell line C33A. At the protein level, NUP50 expression was downregulated in HPV-positive cervical cancer cell lines, including HeLa, SiHa, ME-180 and MS751 (<xref rid="SD5-ETM-32-3-13230" ref-type="supplementary-material">Fig. S5A</xref>).</p>
<p>For NUP98 and NUP160, data for IHC analysis were unavailable (<xref rid="SD4-ETM-32-3-13230" ref-type="supplementary-material">Fig. S4B</xref> and <xref rid="SD4-ETM-32-3-13230" ref-type="supplementary-material">C</xref>). However, mRNA expression analysis revealed that NUP98 was slightly downregulated in HPV-positive cervical cancer cell lines compared with that in HPV-negative cervical cancer cells, C33A, with expression decreasing in the order SiHa, followed by ME-180, HeLa, CaSki, and MS751. At the protein level, NUP98 followed a similar downregulation pattern, in the SiHa, HeLa, MS751 and ME-180 cell lines (<xref rid="SD5-ETM-32-3-13230" ref-type="supplementary-material">Fig. S5B</xref>). By contrast, NUP160 exhibited high expression at the RNA and protein levels in HPV-positive cervical cancer cell lines compared with those in HPV-negative cervical cancer cells (<xref rid="SD5-ETM-32-3-13230" ref-type="supplementary-material">Fig. S5C</xref>). These findings suggest that the regulation of NUP50, NUP98 and NUP160 is heterogeneous in HPV-mediated cervical carcinogenesis.</p>
</sec>
<sec>
<title>PPI analysis of key genes NUP50, NUP98 and NUP160 using GeneMANIA</title>
<p>A total of 20 functionally similar genes were identified for each key gene using GeneMANIA (<xref rid="f6-ETM-32-3-13230" ref-type="fig">Fig. 6</xref>). In the network visualization, the central node represents the key gene, and the predicted genes are arranged in the surrounding circle, highlights physical interactions, co-expression, co-localization, genetic interactions, and pathway associations, and indicated that the key NUP genes influence the immune system. Functional enrichment analysis revealed that these genes are primarily associated with platelet a-granule function and endopeptidase activity, aligning with previous studies on the functional pathways of age-related proteins (<xref rid="b44-ETM-32-3-13230" ref-type="bibr">44</xref>,<xref rid="b45-ETM-32-3-13230" ref-type="bibr">45</xref>). Notably, the release of platelet a-granules increases during blood coagulation, which has been identified as a key functional pathway in age-related protein networks.</p>
</sec>
<sec>
<title>Regulatory interaction network analysis</title>
<p>Gene-miRNA interaction networks were generated using NetworkAnalyst. The constructed candidate gene-miRNA network revealed that hsa-mir-16-5p was associated with the expression of NUP50, NUP98 and NUP160 simultaneously (<xref rid="f7-ETM-32-3-13230" ref-type="fig">Fig. 7</xref>). In addition, hsa-mir-4646-5p and hsa-mir-204-3p were indicated to regulate the expression of NUP50 and NUP98, while hsa-mir-93-3p and hsa-mir-324-5p were indicated to regulate NUP50 and NUP160 expression.</p>
</sec>
</sec>
</sec>
<sec sec-type="Discussion">
<title>Discussion</title>
<p>Oncoproteins are central to HR-HPV pathogenesis. Among the six early HPV genes, E6 and E7 have been well characterized, while the roles of other early genes, particularly E5, remain underexplored. E6 and E7 have been shown to disrupt cell cycle regulation in infected cells by targeting retinoblastoma protein and p53(<xref rid="b46-ETM-32-3-13230" ref-type="bibr">46</xref>), thereby blocking p53-dependent cell-cycle checkpoints and promoting unregulated cancerous growth (<xref rid="b47-ETM-32-3-13230" ref-type="bibr">47</xref>). In <italic>vivo</italic> studies suggest that HPV E5 supports the oncogenic activities of E6 and E7, thereby contributing to malignant progression (<xref rid="b48-ETM-32-3-13230" ref-type="bibr">48</xref>,<xref rid="b49-ETM-32-3-13230" ref-type="bibr">49</xref>). E5 is active during the early stages of viral infection (<xref rid="b50-ETM-32-3-13230" ref-type="bibr">50</xref>). Further HPV E5 has been observed to activate mitogen-activated protein kinase (MAPK), p38 and ERK1/2 in human keratinocytes in an EGF-independent manner (<xref rid="b51-ETM-32-3-13230" ref-type="bibr">51</xref>). This MAPK activation upregulates the transcription of c-fos and c-jun, which in turn stimulates the transcription of E6 and E7 (<xref rid="b52-ETM-32-3-13230 b53-ETM-32-3-13230 b54-ETM-32-3-13230" ref-type="bibr">52-54</xref>).</p>
<p>Given the relevance of HPV E5, the bioinformatics analysis in the present study was focused on its role in cervical cancer. A comprehensive bioinformatics analysis of the microarray datasets GSE26888, GSE26511, GSE9750, GSE5787 and GSE7803 was performed, which led to the identification of 8,202 DEGs. Functional enrichment analysis showed that these DEGs are associated with 19 MFs, 40 BPs and 22 CCs. Out of the 19 MFs, top five were &#x2018;kinase&#x2019;, &#x2018;activator&#x2019;, transferase&#x2019;, &#x2018;tyrosine-protein kinase&#x2019; and &#x2018;RNA-binding&#x2019;. Major BPs included &#x2018;host-virus interaction&#x2019;, &#x2018;protein transport&#x2019;, &#x2018;biological rhythms&#x2019;, &#x2018;apoptosis&#x2019; and &#x2018;innate immunity&#x2019;, while major CCs included &#x2018;cytoplasm&#x2019;, &#x2018;nucleus&#x2019;, &#x2018;Golgi apparatus&#x2019;, &#x2018;mitochondrion&#x2019; and &#x2018;cytoskeleton&#x2019;. In addition, KEGG pathway analysis revealed that the DEGs were involved in 175 pathways, with the most notable being the &#x2018;MAPK signaling pathway,&#x2019; &#x2018;PI3K-Akt signaling pathway&#x2019; and &#x2018;pathways in cancer.&#x2019; Finally, 10 hub genes, namely NUP160, NUP85, NUP205, SEC13, NUP50, NUP37, NUP98, NUP88, NUPL1 and NUP133, were found to be significantly associated with HPV E5 oncoprotein in cervical cancer pathogenesis. Notably, these hub genes are also implicated in important biological pathways such as &#x2018;transport of the SLBP independent mature mRNA&#x2019;, &#x2018;cell cycle, mitotic&#x2019;, &#x2018;EML4 and NUDC in mitotic spindle formation&#x2019; and &#x2018;gene silencing by RNA&#x2019;.</p>
<p>The roles of some of these hub genes in different cancers have been reported previously. For example, NUP205 has been shown to increase nuclear c-Myc levels, thereby promoting the proliferation of lung cancer cells (<xref rid="b55-ETM-32-3-13230" ref-type="bibr">55</xref>). In papillary thyroid cancer, HOTAIR-mediated metastatic progression has been observed to be regulated by the miR-488-5p/NUP205 axis (<xref rid="b56-ETM-32-3-13230" ref-type="bibr">56</xref>). Furthermore, in colorectal cancer, the expression of NUP205 in tissues adjacent to the cancer has been suggested to be a predictor of relapse risk (<xref rid="b57-ETM-32-3-13230" ref-type="bibr">57</xref>). The roles of NUP50 and NUP153 in breast cancer and bladder cancer have also been reported in previous studies (<xref rid="b58-ETM-32-3-13230" ref-type="bibr">58</xref>,<xref rid="b59-ETM-32-3-13230" ref-type="bibr">59</xref>). Elevated NUP37 expression has been associated with a low survival rate in patients with gastric cancer (<xref rid="b59-ETM-32-3-13230" ref-type="bibr">59</xref>). NUP88 has been shown to inhibit the Notch signaling pathway in lymphatic leukemia by blocking the nuclear export of the recombination signal-binding component of this pathway (<xref rid="b60-ETM-32-3-13230" ref-type="bibr">60</xref>). Furthermore, the upregulation of NUP88 overexpression has been observed in cases of highly aggressive breast cancers and cervical cancer cases (<xref rid="b61-ETM-32-3-13230" ref-type="bibr">61</xref>,<xref rid="b62-ETM-32-3-13230" ref-type="bibr">62</xref>). Lastly, NUP85 expression has been reported to be upregulated in pancreatic tumors (<xref rid="b63-ETM-32-3-13230" ref-type="bibr">63</xref>).</p>
<p>Analysis of the hub genes using cBioPortal revealed significant co-occurrence for three sets of genes, namely: NUP50 and NUP98; NUP160 and NUP50; and NUP160 and NUP98, suggesting that variations in these genes may not occur in the same samples but might be present in different cancer cohorts, indicating their involvement in multiple pathways for cancer initiation and development (<xref rid="b64-ETM-32-3-13230" ref-type="bibr">64</xref>,<xref rid="b65-ETM-32-3-13230" ref-type="bibr">65</xref>). The observed co-occurrence supports the hypothesis that these genes do not act independently, and their protein products are likely to be interdependent and involved in shared biological pathways for the execution of specific cellular and molecular functions. To validate this finding and to investigate the relationship between these genes in cervical cancer, the expression levels of the NUP50, NUP98, and NUP160 genes in three cervical cancer lines were determined by RT-qPCR. The results revealed that all three genes were significantly upregulated in the HPV-positive cell lines HeLa and SiHa compared with the HPV-negative cell line C33A. NUP50 is a nucleoporin notably localized in the nuclear pore complex and the nucleoplasm. The deletion of NUP50 has been shown to cause abnormalities in the expression of p27Kip1, a CDK inhibitor protein that regulates cell cycle progression and cell proliferation, particularly during development of the neuroepithelium (<xref rid="b65-ETM-32-3-13230" ref-type="bibr">65</xref>). The upregulation of NUP50 observed in HeLa and SiHa cells may contribute to the dysregulated growth of these cells through the dysregulation of this pathway via interaction with the HPV E5 protein.</p>
<p>NUP98 plays a regulatory role in gene expression, particularly for genes associated with development regulation and the cell cycle. In addition to being a component of the nuclear pore complex, its presence or absence in the nucleoplasm appears to modulate transcriptional activity (<xref rid="b66-ETM-32-3-13230" ref-type="bibr">66</xref>). The dynamics of NUP50, NUP98 and NUP160 show HPV strain-specific expression, which warrants validation in further functional studies.</p>
<p>In addition, an OncoPrint analysis performed using cBioPortal was conducted to observe the type of mutations, including deep deletions, amplifications and missense mutations, and mRNA expression changes of these hub genes in cervical cancer. Among these, NUP133 showed the highest frequency of genetic alterations (26&#x0025;), followed by NUP98 (14&#x0025;) and NUP85 (13&#x0025;). However, while overall survival and progression-free survival analyses of the combined top 10 hub genes did not show a significant association, survival analyses of individual hub genes demonstrated that NUP85, NUP88 and NUPL1/NUP58 were significantly associated with an improved prognosis in cervical cancer.</p>
<p>Cross-validation was performed using the bioinformatics tools HPA and GeneMANIA. The expression of the identified key genes was examined in eight cervical cancer cell lines using HPA data, which revealed that their expression was altered in the presence of HPV; however, patient IHC data was incomplete, with the exception of that for NUP50. The GeneMANIA analysis was performed to highlight physical interactions, co-expression, co-localization, genetic interactions, and pathway associations, and indicated that the key NUP genes influence the immune system (<xref rid="b67-ETM-32-3-13230" ref-type="bibr">67</xref>).</p>
<p>The <italic>in silico</italic> and RT-qPCR expression analyses performed in the present study suggest that the HPV E5 oncoprotein may play a role in cervical carcinogenesis by modulating the expression of the identified NUP genes. However, this requires validation using functional assays to elucidate the precise role of HPV E5 in the molecular etiopathogenesis of cervical cancer.</p>
<p>To the best of our knowledge, this is the first study to implicate NUPs as being significantly involved in HPV E5-mediated cervical cancer progression. NUPs are essential components of the nuclear pore complex and regulate the flow of various molecules across the nuclear envelope by interacting with importin and exportin proteins (<xref rid="b59-ETM-32-3-13230" ref-type="bibr">59</xref>). The findings of the present study may be helpful in the development of potential biomarkers for the early diagnosis of cervical cancer and the identification of novel vaccine targets. However, the publicly available datasets used in this study may contain inherent experimental variations that could not be accounted for. Despite this limitation, the data generated and prior evidence suggest that the role of the E5 oncogene in cervical cancer is noteworthy and merits further exploration.</p>
<p>While the current study provides valuable insights through the integrative analysis of five transcriptomic datasets, it is important to acknowledge certain limitations. Firstly, the analysis provide a collective interpretation of all datasets to maintain consistency with the overarching study objectives. As a result, individual dataset-level differences and pathway enrichment analyses specific to dataset pairs were not performed. Although this integrative approach was advantageous for identifying broader trends, it limited the ability to uncover dataset-specific biological variations and enriched pathways that may offer additional mechanistic insights. Secondly, the current study used the GEO2R tool to perform the differential gene expression analysis. While efficient for pre-processed datasets, this tool does not offer the statistical robustness of DESeq2, which provides superior normalization, improved handling of low-expression genes, and accounts more effectively for batch effects; however, its application requires a specific raw data file format, which was not available for the current study. The inability to use DESeq2 may have limited the precision of the identification of DEGs and hub genes, particularly in complex RNA-seq datasets. Future studies may benefit from the use of DESeq2 or similar tools to enhance analytical depth, particularly where raw count data is available. Finally, to validate the results of this study, detailed <italic>in vitro</italic>, <italic>in vivo</italic> and <italic>ex vivo</italic> will be essential in the future. Addressing the limitations of the present study through dataset-specific enrichment analysis, more advanced statistical methods and comprehensive preclinical research represents an important direction for future research.</p>
<p>Although various studies have shown HPV E5 oncoprotein to be responsible for initial virus propagation, there is a paucity of evidence regarding its exact role in cervical cancer pathogenesis. The present study highlights the importance of HPV E5 in the development of cervical cancer. Publicly available online databases were searched and an integrated bioinformatics analysis was performed, which revealed 10 hub genes, of which three, namely NUP50, NUP98 and NUP160, were shown to be significantly associated with an improved prognosis in cervical cancer. These findings highlight the role of nucleoporins in cervical cancer development; however, they require functional validation, to gain a more comprehensive understanding of the molecular mechanism and potentially aid in the development of novel diagnostics and vaccines.</p>
</sec>
<sec sec-type="supplementary-material">
<title>Supplementary Material</title>
<supplementary-material id="SD1-ETM-32-3-13230" content-type="local-data">
<caption>
<title>Assessment of RNA quality and expression in cervical cancer cell lines. (A) Representative image showing the quality of the RNA isolated from the C33A, SiHa and HeLa cervical cancer cell lines in lane 1, 2 and 3, respectively. (B) Representative amplification plot showing the expression of &#x03B2;-actin (internal control), NUP50, NUP98 and NUP160, presented as a plot of RFU vs. number of cycles obtained using SYBR Green chemistry. NUP, nucleoporin; RFU, relative fluorescence units.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data1.pdf"/>
</supplementary-material>
<supplementary-material id="SD2-ETM-32-3-13230" content-type="local-data">
<caption>
<title>Protein-protein interaction network of 10 hub genes constructed using Cytoscape. The decreasing order of significance is represented by a color gradient from red to orange to yellow. The Ensemble protein IDs for the proteins in the figure are as follows: 9606. ENSP00000261396 (NUP133), 9606.ENSP00000371155 (NUP58), 9606.ENSP00000458954 (NUP88), 9606.ENSP00000316032 (NUP98), 9606. ENSP00000448054 (NUP37), 9606.ENSP00000345895 (NUP50), 9606.ENSP00000373312 (SEC13), 9606. ENSP00000285968 (NUP205), 9606.ENSP00000245544 (NUP153) and 9606.ENSP00000367721 (NUP160). NUP, nucleoporin.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data1.pdf"/>
</supplementary-material>
<supplementary-material id="SD3-ETM-32-3-13230" content-type="local-data">
<caption>
<title>Kaplan-Meier overall survival plots of the top 10 hub genes in cervical squamous cell carcinoma and endocervical adenocarcinoma. Overall survival analysis performed using the Gene Expression Profiling Interactive Analysis database showed that NUP85, NUP88 and NUPL1 had a significant association with survival. NUP, nucleoporin; NUPL, NUP-like 1.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data1.pdf"/>
</supplementary-material>
<supplementary-material id="SD4-ETM-32-3-13230" content-type="local-data">
<caption>
<title>Data on the expression of NUP family members from the HPA. (A) Images depicting the immunohistochemical analysis of NUP50 in cervical cancer and normal cervix tissues. Cervical expression summaries for (B) NUP98 and (C) NUP160. NUP, nucleoporin; HPA, Human Protein Atlas; RNA-seq, RNA sequencing; nTPM, normalized transcripts per million; GTEx, Genotype-Tissue Expression; FANTOM5, Fifth Edition of the Functional Annotation of the Mammalian Genome.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data1.pdf"/>
</supplementary-material>
<supplementary-material id="SD5-ETM-32-3-13230" content-type="local-data">
<caption>
<title>mRNA and protein expression analysis of distinct NUP family members in various cervical cancer cell lines (n=8): (A) NUP50, (B) NUP98 and (C) NUP160 expression data from the Human Protein Atlas. Black circles indicate the protein expression relative to the size of the circles. NUP, nucleoporin; nTPM, normalized transcripts per million.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data1.pdf"/>
</supplementary-material>
<supplementary-material id="SD6-ETM-32-3-13230" content-type="local-data">
<caption>
<title>Primer sequences for quantitative PCR.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data2.pdf"/>
</supplementary-material>
<supplementary-material id="SD7-ETM-32-3-13230" content-type="local-data">
<caption>
<title>GO enrichment analysis of molecular function terms for differentially expressed genes.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data2.pdf"/>
</supplementary-material>
<supplementary-material id="SD8-ETM-32-3-13230" content-type="local-data">
<caption>
<title>GO enrichment analysis of biological processes for differentially expressed genes.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data2.pdf"/>
</supplementary-material>
<supplementary-material id="SD9-ETM-32-3-13230" content-type="local-data">
<caption>
<title>GO enrichment analysis of cellular component terms for differentially expressed genes.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data2.pdf"/>
</supplementary-material>
<supplementary-material id="SD10-ETM-32-3-13230" content-type="local-data">
<caption>
<title>KEGG pathway enrichment analysis of differentially expressed genes.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data2.pdf"/>
</supplementary-material>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The data generated in the present study may be requested from the corresponding author.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>JR contributed to study conception and design, quality control of data and algorithms, analysis and interpretation of data, manuscript preparation and manuscript editing. SS contributed to the quality control of data and algorithms, analysis and interpretation of data, manuscript preparation and manuscript editing. SK contributed to manuscript preparation/drafting, analysis and interpretation of data, manuscript critical review and editing. EG contributed to manuscript drafting, analysis and interpretation of data, critical review and editing. AK contributed to manuscript drafting, analysis and interpretation of data and critical review. KK contributed to analysis and interpretation of data, manuscript preparation, editing and review, supervision and final approval of the version to be published. SH contributed to the conception and study design, manuscript editing, manuscript review and supervision. All authors read and approved the final manuscript. JR and SS confirm the authenticity of all the raw data.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="b1-ETM-32-3-13230"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bray</surname><given-names>F</given-names></name><name><surname>Laversanne</surname><given-names>M</given-names></name><name><surname>Sung</surname><given-names>H</given-names></name><name><surname>Ferlay</surname><given-names>J</given-names></name><name><surname>Siegel</surname><given-names>RL</given-names></name><name><surname>Soerjomataram</surname><given-names>I</given-names></name><name><surname>Jemal</surname><given-names>A</given-names></name></person-group><article-title>Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 18 countries</article-title><source>CA Cancer J Clin</source><volume>74</volume><fpage>229</fpage><lpage>263</lpage><year>2024</year><pub-id pub-id-type="pmid">38572751</pub-id><pub-id pub-id-type="doi">10.3322/caac.21834</pub-id></element-citation></ref>
<ref id="b2-ETM-32-3-13230"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Siegel</surname><given-names>RL</given-names></name><name><surname>Kratzer</surname><given-names>TB</given-names></name><name><surname>Giaquinto</surname><given-names>AN</given-names></name><name><surname>Sung</surname><given-names>H</given-names></name><name><surname>Jemal</surname><given-names>A</given-names></name></person-group><article-title>Cancer statistics, 2025</article-title><source>CA Cancer J Clin</source><volume>75</volume><fpage>10</fpage><lpage>45</lpage><year>2025</year><pub-id pub-id-type="pmid">39817679</pub-id><pub-id pub-id-type="doi">10.3322/caac.21871</pub-id></element-citation></ref>
<ref id="b3-ETM-32-3-13230"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Trevino</surname><given-names>V</given-names></name><name><surname>Oyervides</surname><given-names>M</given-names></name><name><surname>Ram&#x00ED;rez-Correa</surname><given-names>GA</given-names></name><name><surname>Garza</surname><given-names>L</given-names></name></person-group><article-title>Generating human papillomavirus (HPV) reference databases to maximize genomic mapping</article-title><source>Arch Virol</source><volume>167</volume><fpage>57</fpage><lpage>65</lpage><year>2022</year><pub-id pub-id-type="pmid">34668074</pub-id><pub-id pub-id-type="doi">10.1007/s00705-021-05256-y</pub-id></element-citation></ref>
<ref id="b4-ETM-32-3-13230"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Burd</surname><given-names>EM</given-names></name></person-group><article-title>Human papillomavirus and cervical cancer</article-title><source>Clin Microbiol Rev</source><volume>16</volume><fpage>1</fpage><lpage>17</lpage><year>2003</year><pub-id pub-id-type="pmid">12525422</pub-id><pub-id pub-id-type="doi">10.1128/CMR.16.1.1-17.2003</pub-id></element-citation></ref>
<ref id="b5-ETM-32-3-13230"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Harper</surname><given-names>DM</given-names></name><name><surname>Franco</surname><given-names>EL</given-names></name><name><surname>Wheeler</surname><given-names>C</given-names></name><name><surname>Ferris</surname><given-names>DG</given-names></name><name><surname>Jenkins</surname><given-names>D</given-names></name><name><surname>Schuind</surname><given-names>A</given-names></name><name><surname>Zahaf</surname><given-names>T</given-names></name><name><surname>Innis</surname><given-names>B</given-names></name><name><surname>Naud</surname><given-names>P</given-names></name><name><surname>De Carvalho</surname><given-names>NS</given-names></name><etal/></person-group><article-title>Efficacy of a bivalent L1 virus-like particle vaccine in prevention of infection with human papillomavirus types 16 and 18 in young women: A randomised controlled trial</article-title><source>Lancet</source><volume>364</volume><fpage>1757</fpage><lpage>1765</lpage><year>2004</year><pub-id pub-id-type="pmid">15541448</pub-id><pub-id pub-id-type="doi">10.1016/S0140-6736(04)17398-4</pub-id></element-citation></ref>
<ref id="b6-ETM-32-3-13230"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Zeng</surname><given-names>Q</given-names></name><name><surname>Cai</surname><given-names>W</given-names></name><name><surname>Ruan</surname><given-names>W</given-names></name></person-group><article-title>Trends of cervical cancer at global, regional, and national level: Data from the global burden of disease study 2019</article-title><source>BMC Public Health</source><volume>21</volume><issue>894</issue><year>2021</year><pub-id pub-id-type="pmid">33975583</pub-id><pub-id pub-id-type="doi">10.1186/s12889-021-10907-5</pub-id></element-citation></ref>
<ref id="b7-ETM-32-3-13230"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Arbyn</surname><given-names>M</given-names></name><name><surname>Weiderpass</surname><given-names>E</given-names></name><name><surname>Bruni</surname><given-names>L</given-names></name><name><surname>de Sanjos&#x00E9;</surname><given-names>S</given-names></name><name><surname>Saraiya</surname><given-names>M</given-names></name><name><surname>Ferlay</surname><given-names>J</given-names></name><name><surname>Bray</surname><given-names>F</given-names></name></person-group><article-title>Estimates of incidence and mortality of cervical cancer in 2018: A worldwide analysis</article-title><source>Lancet Glob Health</source><volume>8</volume><fpage>e191</fpage><lpage>e203</lpage><year>2020</year><pub-id pub-id-type="pmid">31812369</pub-id><pub-id pub-id-type="doi">10.1016/S2214-109X(19)30482-6</pub-id></element-citation></ref>
<ref id="b8-ETM-32-3-13230"><label>8</label><element-citation publication-type="journal"><article-title>Human papillomavirus vaccines: WHO position paper, December 2022</article-title><source>Wkly Epidemiol Rec</source><volume>50</volume><fpage>645</fpage><lpage>672</lpage><year>2022</year></element-citation></ref>
<ref id="b9-ETM-32-3-13230"><label>9</label><element-citation publication-type="journal"><comment>FUTURE II Study Group</comment><article-title>Quadrivalent vaccine against human papillomavirus to prevent high-grade cervical lesions</article-title><source>N Engl J Med</source><volume>356</volume><fpage>1915</fpage><lpage>1927</lpage><year>2007</year><pub-id pub-id-type="pmid">17494925</pub-id><pub-id pub-id-type="doi">10.1056/NEJMoa061741</pub-id></element-citation></ref>
<ref id="b10-ETM-32-3-13230"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Brisson</surname><given-names>M</given-names></name><name><surname>Kim</surname><given-names>JJ</given-names></name><name><surname>Canfell</surname><given-names>K</given-names></name><name><surname>Drolet</surname><given-names>M</given-names></name><name><surname>Gingras</surname><given-names>G</given-names></name><name><surname>Burger</surname><given-names>EA</given-names></name><name><surname>Martin</surname><given-names>D</given-names></name><name><surname>Simms</surname><given-names>KT</given-names></name><name><surname>B&#x00E9;nard</surname><given-names>&#x00C9;</given-names></name><name><surname>Boily</surname><given-names>MC</given-names></name><etal/></person-group><article-title>Impact of HPV vaccination and cervical screening on cervical cancer elimination: A comparative modelling analysis in 78 low-income and lower-middle-income countries</article-title><source>Lancet</source><volume>395</volume><fpage>575</fpage><lpage>590</lpage><year>2020</year><pub-id pub-id-type="pmid">32007141</pub-id><pub-id pub-id-type="doi">10.1016/S0140-6736(20)30068-4</pub-id></element-citation></ref>
<ref id="b11-ETM-32-3-13230"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hussain</surname><given-names>S</given-names></name><name><surname>Nasare</surname><given-names>V</given-names></name><name><surname>Kumari</surname><given-names>M</given-names></name><name><surname>Sharma</surname><given-names>S</given-names></name><name><surname>Khan</surname><given-names>MA</given-names></name><name><surname>Das</surname><given-names>BC</given-names></name><name><surname>Bharadwaj</surname><given-names>M</given-names></name></person-group><article-title>Perception of human papillomavirus infection, cervical cancer and HPV vaccination in North Indian population</article-title><source>PLoS One</source><volume>9</volume><issue>e112861</issue><year>2014</year><pub-id pub-id-type="pmid">25386964</pub-id><pub-id pub-id-type="doi">10.1371/journal.pone.0112861</pub-id></element-citation></ref>
<ref id="b12-ETM-32-3-13230"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Graham</surname><given-names>SV</given-names></name></person-group><article-title>Human papillomavirus: Gene expression, regulation and prospects for novel diagnostic methods and antiviral therapies</article-title><source>Future Microbiol</source><volume>5</volume><fpage>1493</fpage><lpage>1506</lpage><year>2010</year><pub-id pub-id-type="pmid">21073310</pub-id><pub-id pub-id-type="doi">10.2217/fmb.10.107</pub-id></element-citation></ref>
<ref id="b13-ETM-32-3-13230"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Doorbar</surname><given-names>J</given-names></name></person-group><article-title>The E4 protein; structure, function and patterns of expression</article-title><source>Virology</source><volume>445</volume><fpage>80</fpage><lpage>98</lpage><year>2013</year><pub-id pub-id-type="pmid">24016539</pub-id><pub-id pub-id-type="doi">10.1016/j.virol.2013.07.008</pub-id></element-citation></ref>
<ref id="b14-ETM-32-3-13230"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yao</surname><given-names>Y</given-names></name><name><surname>Yan</surname><given-names>Z</given-names></name><name><surname>Dai</surname><given-names>S</given-names></name><name><surname>Li</surname><given-names>C</given-names></name><name><surname>Yang</surname><given-names>L</given-names></name><name><surname>Liu</surname><given-names>S</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Shi</surname><given-names>L</given-names></name><name><surname>Yao</surname><given-names>Y</given-names></name></person-group><article-title>Human papillomavirus type 16 E1 mutations associated with cervical cancer in a Han Chinese population</article-title><source>Int J Med Sci</source><volume>16</volume><fpage>1042</fpage><lpage>1049</lpage><year>2019</year><pub-id pub-id-type="pmid">31341418</pub-id><pub-id pub-id-type="doi">10.7150/ijms.34279</pub-id></element-citation></ref>
<ref id="b15-ETM-32-3-13230"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ren</surname><given-names>S</given-names></name><name><surname>Gaykalova</surname><given-names>DA</given-names></name><name><surname>Guo</surname><given-names>T</given-names></name><name><surname>Favorov</surname><given-names>AV</given-names></name><name><surname>Fertig</surname><given-names>EJ</given-names></name><name><surname>Tamayo</surname><given-names>P</given-names></name><name><surname>Callejas-Valera</surname><given-names>JL</given-names></name><name><surname>Allevato</surname><given-names>M</given-names></name><name><surname>Gilardi</surname><given-names>M</given-names></name><name><surname>Santos</surname><given-names>J</given-names></name><etal/></person-group><article-title>HPV E2, E4, E5 drive alternative carcinogenic pathways in HPV positive cancers</article-title><source>Oncogene</source><volume>39</volume><fpage>6327</fpage><lpage>6339</lpage><year>2020</year><pub-id pub-id-type="pmid">32848210</pub-id><pub-id pub-id-type="doi">10.1038/s41388-020-01431-8</pub-id></element-citation></ref>
<ref id="b16-ETM-32-3-13230"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Giorgi Rossi</surname><given-names>P</given-names></name><name><surname>Carozzi</surname><given-names>F</given-names></name><name><surname>Ronco</surname><given-names>G</given-names></name><name><surname>Allia</surname><given-names>E</given-names></name><name><surname>Bisanzi</surname><given-names>S</given-names></name><name><surname>Gillio-Tos</surname><given-names>A</given-names></name><name><surname>De Marco</surname><given-names>L</given-names></name><name><surname>Rizzolo</surname><given-names>R</given-names></name><name><surname>Gustinucci</surname><given-names>D</given-names></name><name><surname>Del Mistro</surname><given-names>A</given-names></name><etal/></person-group><article-title>p16/ki67 and E6/E7 mRNA accuracy and prognostic value in triaging HPV DNA-positive women</article-title><source>J Natl Cancer Inst</source><volume>113</volume><fpage>292</fpage><lpage>300</lpage><year>2021</year><pub-id pub-id-type="pmid">32745170</pub-id><pub-id pub-id-type="doi">10.1093/jnci/djaa105</pub-id></element-citation></ref>
<ref id="b17-ETM-32-3-13230"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Conrad</surname><given-names>M</given-names></name><name><surname>Bubb</surname><given-names>VJ</given-names></name><name><surname>Schlegel</surname><given-names>R</given-names></name></person-group><article-title>The human papillomavirus type 6 and 16 E5 proteins are membrane-associated proteins which associate with the 16 kilodalton pore-forming protein</article-title><source>J Virol</source><volume>67</volume><fpage>6170</fpage><lpage>6178</lpage><year>1993</year><pub-id pub-id-type="pmid">7690419</pub-id><pub-id pub-id-type="doi">10.1128/JVI.67.10.6170-6178.1993</pub-id></element-citation></ref>
<ref id="b18-ETM-32-3-13230"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Eriksson</surname><given-names>A</given-names></name><name><surname>Herron</surname><given-names>JR</given-names></name><name><surname>Yamada</surname><given-names>T</given-names></name><name><surname>Wheeler</surname><given-names>CM</given-names></name></person-group><article-title>Human papillomavirus type 16 variant lineages characterized by nucleotide sequence analysis of the E5 coding segment and the E2 hinge region</article-title><source>J Gen Virol</source><volume>80</volume><fpage>595</fpage><lpage>600</lpage><year>1999</year><pub-id pub-id-type="pmid">10091997</pub-id><pub-id pub-id-type="doi">10.1099/0022-1317-80-3-595</pub-id></element-citation></ref>
<ref id="b19-ETM-32-3-13230"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Disbrow</surname><given-names>GL</given-names></name><name><surname>Hanover</surname><given-names>JA</given-names></name><name><surname>Schlegel</surname><given-names>R</given-names></name></person-group><article-title>Endoplasmic reticulum-localized human papillomavirus type 16 E5 protein alters endosomal pH but not trans-Golgi pH</article-title><source>J Virol</source><volume>79</volume><fpage>5839</fpage><lpage>5846</lpage><year>2005</year><pub-id pub-id-type="pmid">15827198</pub-id><pub-id pub-id-type="doi">10.1128/JVI.79.9.5839-5846.2005</pub-id></element-citation></ref>
<ref id="b20-ETM-32-3-13230"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Straight</surname><given-names>SW</given-names></name><name><surname>Herman</surname><given-names>B</given-names></name><name><surname>McCance</surname><given-names>DJ</given-names></name></person-group><article-title>The E5 oncoprotein of human papillomavirus type 16 inhibits the acidification of endosomes in human keratinocytes</article-title><source>J Virol</source><volume>69</volume><fpage>3185</fpage><lpage>3192</lpage><year>1995</year><pub-id pub-id-type="pmid">7707548</pub-id><pub-id pub-id-type="doi">10.1128/JVI.69.5.3185-3192.1995</pub-id></element-citation></ref>
<ref id="b21-ETM-32-3-13230"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Venuti</surname><given-names>A</given-names></name><name><surname>Paolini</surname><given-names>F</given-names></name><name><surname>Nasir</surname><given-names>L</given-names></name><name><surname>Corteggio</surname><given-names>A</given-names></name><name><surname>Roperto</surname><given-names>S</given-names></name><name><surname>Campo</surname><given-names>MS</given-names></name><name><surname>Borzacchiello</surname><given-names>G</given-names></name></person-group><article-title>The smallest oncoprotein with many functions</article-title><source>Mol Cancer</source><volume>10</volume><issue>140</issue><year>2011</year><pub-id pub-id-type="pmid">22078316</pub-id><pub-id pub-id-type="doi">10.1186/1476-4598-10-140</pub-id></element-citation></ref>
<ref id="b22-ETM-32-3-13230"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Scott</surname><given-names>ML</given-names></name><name><surname>Coleman</surname><given-names>DT</given-names></name><name><surname>Kelly</surname><given-names>KC</given-names></name><name><surname>Carroll</surname><given-names>JL</given-names></name><name><surname>Woodby</surname><given-names>B</given-names></name><name><surname>Songock</surname><given-names>WK</given-names></name><name><surname>Cardelli</surname><given-names>JA</given-names></name><name><surname>Bodily</surname><given-names>JM</given-names></name></person-group><article-title>Human papillomavirus type 16 E5-mediated upregulation of Met in human keratinocytes</article-title><source>Virology</source><volume>519</volume><fpage>1</fpage><lpage>11</lpage><year>2018</year><pub-id pub-id-type="pmid">29609071</pub-id><pub-id pub-id-type="doi">10.1016/j.virol.2018.03.021</pub-id></element-citation></ref>
<ref id="b23-ETM-32-3-13230"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Campo</surname><given-names>MS</given-names></name><name><surname>Graham</surname><given-names>SV</given-names></name><name><surname>Cortese</surname><given-names>MS</given-names></name><name><surname>Ashrafi</surname><given-names>GH</given-names></name><name><surname>Araibi</surname><given-names>EH</given-names></name><name><surname>Dornan</surname><given-names>ES</given-names></name><name><surname>Miners</surname><given-names>K</given-names></name><name><surname>Nunes</surname><given-names>C</given-names></name><name><surname>Man</surname><given-names>S</given-names></name></person-group><article-title>HPV-16 E5 down-regulates expression of surface HLA class I and reduces recognition by CD8 T cells</article-title><source>Virology</source><volume>407</volume><fpage>137</fpage><lpage>142</lpage><year>2010</year><pub-id pub-id-type="pmid">20813390</pub-id><pub-id pub-id-type="doi">10.1016/j.virol.2010.07.044</pub-id></element-citation></ref>
<ref id="b24-ETM-32-3-13230"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Miyauchi</surname><given-names>S</given-names></name><name><surname>Sanders</surname><given-names>PD</given-names></name><name><surname>Guram</surname><given-names>K</given-names></name><name><surname>Kim</surname><given-names>SS</given-names></name><name><surname>Paolini</surname><given-names>F</given-names></name><name><surname>Venuti</surname><given-names>A</given-names></name><name><surname>Cohen</surname><given-names>EEW</given-names></name><name><surname>Gutkind</surname><given-names>JS</given-names></name><name><surname>Califano</surname><given-names>JA</given-names></name><name><surname>Sharabi</surname><given-names>AB</given-names></name></person-group><article-title>HPV16 E5 mediates resistance to PD-L1 blockade and can be targeted with rimantadine in head and neck cancer</article-title><source>Cancer Res</source><volume>80</volume><fpage>732</fpage><lpage>746</lpage><year>2020</year><pub-id pub-id-type="pmid">31848196</pub-id><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-19-1771</pub-id></element-citation></ref>
<ref id="b25-ETM-32-3-13230"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Barrett</surname><given-names>T</given-names></name><name><surname>Wilhite</surname><given-names>SE</given-names></name><name><surname>Ledoux</surname><given-names>P</given-names></name><name><surname>Evangelista</surname><given-names>C</given-names></name><name><surname>Kim</surname><given-names>IF</given-names></name><name><surname>Tomashevsky</surname><given-names>M</given-names></name><name><surname>Marshall</surname><given-names>KA</given-names></name><name><surname>Phillippy</surname><given-names>KH</given-names></name><name><surname>Sherman</surname><given-names>PM</given-names></name><name><surname>Holko</surname><given-names>M</given-names></name><etal/></person-group><article-title>NCBI GEO: Archive for functional genomics data sets-update</article-title><source>Nucleic Acids Res</source><volume>41</volume><fpage>D991</fpage><lpage>D995</lpage><year>2013</year><pub-id pub-id-type="pmid">23193258</pub-id><pub-id pub-id-type="doi">10.1093/nar/gks1193</pub-id></element-citation></ref>
<ref id="b26-ETM-32-3-13230"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ahn</surname><given-names>EY</given-names></name><name><surname>DeKelver</surname><given-names>RC</given-names></name><name><surname>Lo</surname><given-names>MC</given-names></name><name><surname>Nguyen</surname><given-names>TA</given-names></name><name><surname>Matsuura</surname><given-names>S</given-names></name><name><surname>Boyapati</surname><given-names>A</given-names></name><name><surname>Pandit</surname><given-names>S</given-names></name><name><surname>Fu</surname><given-names>XD</given-names></name><name><surname>Zhang</surname><given-names>DE</given-names></name></person-group><article-title>SON controls cell-cycle progression by coordinated regulation of RNA splicing</article-title><source>Mol Cell</source><volume>42</volume><fpage>185</fpage><lpage>198</lpage><year>2011</year><pub-id pub-id-type="pmid">21504830</pub-id><pub-id pub-id-type="doi">10.1016/j.molcel.2011.03.014</pub-id></element-citation></ref>
<ref id="b27-ETM-32-3-13230"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Noordhuis</surname><given-names>MG</given-names></name><name><surname>Fehrmann</surname><given-names>RS</given-names></name><name><surname>Wisman</surname><given-names>GB</given-names></name><name><surname>Nijhuis</surname><given-names>ER</given-names></name><name><surname>van Zanden</surname><given-names>JJ</given-names></name><name><surname>Moerland</surname><given-names>PD</given-names></name><name><surname>Ver Loren van Themaat</surname><given-names>E</given-names></name><name><surname>Volders</surname><given-names>HH</given-names></name><name><surname>Kok</surname><given-names>M</given-names></name><name><surname>ten Hoor</surname><given-names>KA</given-names></name><etal/></person-group><article-title>Involvement of the TGF-beta and beta-catenin pathways in pelvic lymph node metastasis in early-stage cervical cancer</article-title><source>Clin Cancer Res</source><volume>17</volume><fpage>1317</fpage><lpage>1330</lpage><year>2011</year><pub-id pub-id-type="pmid">21385933</pub-id><pub-id pub-id-type="doi">10.1158/1078-0432.CCR-10-2320</pub-id></element-citation></ref>
<ref id="b28-ETM-32-3-13230"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Scotto</surname><given-names>L</given-names></name><name><surname>Narayan</surname><given-names>G</given-names></name><name><surname>Nandula</surname><given-names>SV</given-names></name><name><surname>Arias-Pulido</surname><given-names>H</given-names></name><name><surname>Subramaniyam</surname><given-names>S</given-names></name><name><surname>Schneider</surname><given-names>A</given-names></name><name><surname>Kaufmann</surname><given-names>AM</given-names></name><name><surname>Wright</surname><given-names>JD</given-names></name><name><surname>Pothuri</surname><given-names>B</given-names></name><name><surname>Mansukhani</surname><given-names>M</given-names></name><name><surname>Murty</surname><given-names>VV</given-names></name></person-group><article-title>Identification of copy number gain and overexpressed genes on chromosome arm 20q by an integrative genomic approach in cervical cancer: Potential role in progression</article-title><source>Genes Chromosomes Cancer</source><volume>47</volume><fpage>755</fpage><lpage>765</lpage><year>2008</year><pub-id pub-id-type="pmid">18506748</pub-id><pub-id pub-id-type="doi">10.1002/gcc.20577</pub-id></element-citation></ref>
<ref id="b29-ETM-32-3-13230"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bachtiary</surname><given-names>B</given-names></name><name><surname>Boutros</surname><given-names>PC</given-names></name><name><surname>Pintilie</surname><given-names>M</given-names></name><name><surname>Shi</surname><given-names>W</given-names></name><name><surname>Bastianutto</surname><given-names>C</given-names></name><name><surname>Li</surname><given-names>JH</given-names></name><name><surname>Schwock</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>W</given-names></name><name><surname>Penn</surname><given-names>LZ</given-names></name><name><surname>Jurisica</surname><given-names>I</given-names></name><etal/></person-group><article-title>Gene expression profiling in cervical cancer: An exploration of intratumor heterogeneity</article-title><source>Clin Cancer Res</source><volume>12</volume><fpage>5632</fpage><lpage>5640</lpage><year>2006</year><pub-id pub-id-type="pmid">17020965</pub-id><pub-id pub-id-type="doi">10.1158/1078-0432.CCR-06-0357</pub-id></element-citation></ref>
<ref id="b30-ETM-32-3-13230"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhai</surname><given-names>Y</given-names></name><name><surname>Kuick</surname><given-names>R</given-names></name><name><surname>Nan</surname><given-names>B</given-names></name><name><surname>Ota</surname><given-names>I</given-names></name><name><surname>Weiss</surname><given-names>SJ</given-names></name><name><surname>Trimble</surname><given-names>CL</given-names></name><name><surname>Fearon</surname><given-names>ER</given-names></name><name><surname>Cho</surname><given-names>KR</given-names></name></person-group><article-title>Gene expression analysis of preinvasive and invasive cervical squamous cell carcinomas identifies HOXC10 as a key mediator of invasion</article-title><source>Cancer Res</source><volume>67</volume><fpage>10163</fpage><lpage>10172</lpage><year>2007</year><pub-id pub-id-type="pmid">17974957</pub-id><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-07-2056</pub-id></element-citation></ref>
<ref id="b31-ETM-32-3-13230"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Huang da</surname><given-names>W</given-names></name><name><surname>Sherman</surname><given-names>BT</given-names></name><name><surname>Lempicki</surname><given-names>RA</given-names></name></person-group><article-title>Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources</article-title><source>Nat Protoc</source><volume>4</volume><fpage>44</fpage><lpage>57</lpage><year>2009</year><pub-id pub-id-type="pmid">19131956</pub-id><pub-id pub-id-type="doi">10.1038/nprot.2008.211</pub-id></element-citation></ref>
<ref id="b32-ETM-32-3-13230"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Thomas</surname><given-names>PD</given-names></name><name><surname>Ebert</surname><given-names>D</given-names></name><name><surname>Muruganujan</surname><given-names>A</given-names></name><name><surname>Mushayahama</surname><given-names>T</given-names></name><name><surname>Albou</surname><given-names>LP</given-names></name><name><surname>Mi</surname><given-names>H</given-names></name></person-group><article-title>Making genome-scale phylogenetics accessible to all</article-title><source>Protein Sci</source><volume>31</volume><fpage>8</fpage><lpage>22</lpage><year>2022</year><pub-id pub-id-type="pmid">34717010</pub-id><pub-id pub-id-type="doi">10.1002/pro.4218</pub-id></element-citation></ref>
<ref id="b33-ETM-32-3-13230"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ashburner</surname><given-names>M</given-names></name><name><surname>Ball</surname><given-names>CA</given-names></name><name><surname>Blake</surname><given-names>JA</given-names></name><name><surname>Botstein</surname><given-names>D</given-names></name><name><surname>Butler</surname><given-names>H</given-names></name><name><surname>Cherry</surname><given-names>JM</given-names></name><name><surname>Davis</surname><given-names>AP</given-names></name><name><surname>Dolinski</surname><given-names>K</given-names></name><name><surname>Dwight</surname><given-names>SS</given-names></name><name><surname>Eppig</surname><given-names>JT</given-names></name><etal/></person-group><article-title>Gene ontology: Tool for the unification of biology</article-title><source>The Gene Ontology Consortium. Nat Genet</source><volume>25</volume><fpage>25</fpage><lpage>29</lpage><year>2000</year><pub-id pub-id-type="pmid">10802651</pub-id><pub-id pub-id-type="doi">10.1038/75556</pub-id></element-citation></ref>
<ref id="b34-ETM-32-3-13230"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kanehisa</surname><given-names>M</given-names></name><name><surname>Sato</surname><given-names>Y</given-names></name></person-group><article-title>KEGG Mapper for inferring cellular functions from protein sequences</article-title><source>Protein Sci</source><volume>29</volume><fpage>28</fpage><lpage>35</lpage><year>2020</year><pub-id pub-id-type="pmid">31423653</pub-id><pub-id pub-id-type="doi">10.1002/pro.3711</pub-id></element-citation></ref>
<ref id="b35-ETM-32-3-13230"><label>35</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Szklarczyk</surname><given-names>D</given-names></name><name><surname>Gable</surname><given-names>AL</given-names></name><name><surname>Nastou</surname><given-names>KC</given-names></name><name><surname>Lyon</surname><given-names>D</given-names></name><name><surname>Kirsch</surname><given-names>R</given-names></name><name><surname>Pyysalo</surname><given-names>S</given-names></name><name><surname>Doncheva</surname><given-names>NT</given-names></name><name><surname>Legeay</surname><given-names>M</given-names></name><name><surname>Fang</surname><given-names>T</given-names></name><name><surname>Bork</surname><given-names>P</given-names></name><etal/></person-group><article-title>The STRING database in 2021: Customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets</article-title><source>Nucleic Acids Res</source><volume>49</volume><fpage>D605</fpage><lpage>D612</lpage><year>2021</year><pub-id pub-id-type="pmid">33237311</pub-id><pub-id pub-id-type="doi">10.1093/nar/gkaa1074</pub-id></element-citation></ref>
<ref id="b36-ETM-32-3-13230"><label>36</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chin</surname><given-names>CH</given-names></name><name><surname>Chen</surname><given-names>SH</given-names></name><name><surname>Wu</surname><given-names>HH</given-names></name><name><surname>Ho</surname><given-names>CW</given-names></name><name><surname>Ko</surname><given-names>MT</given-names></name><name><surname>Lin</surname><given-names>CY</given-names></name></person-group><article-title>CytoHubba: Identifying hub objects and sub-networks from complex interactome</article-title><source>BMC Syst Biol</source><volume>8 (Suppl)</volume><issue>S11</issue><year>2014</year><pub-id pub-id-type="pmid">25521941</pub-id><pub-id pub-id-type="doi">10.1186/1752-0509-8-S4-S11</pub-id></element-citation></ref>
<ref id="b37-ETM-32-3-13230"><label>37</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gao</surname><given-names>J</given-names></name><name><surname>Aksoy</surname><given-names>BA</given-names></name><name><surname>Dogrusoz</surname><given-names>U</given-names></name><name><surname>Dresdner</surname><given-names>G</given-names></name><name><surname>Gross</surname><given-names>B</given-names></name><name><surname>Sumer</surname><given-names>SO</given-names></name><name><surname>Sun</surname><given-names>Y</given-names></name><name><surname>Jacobsen</surname><given-names>A</given-names></name><name><surname>Sinha</surname><given-names>R</given-names></name><name><surname>Larsson</surname><given-names>E</given-names></name><etal/></person-group><article-title>Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal</article-title><source>Sci Signal</source><volume>6</volume><issue>l1</issue><year>2013</year><pub-id pub-id-type="pmid">23550210</pub-id><pub-id pub-id-type="doi">10.1126/scisignal.2004088</pub-id></element-citation></ref>
<ref id="b38-ETM-32-3-13230"><label>38</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stelzer</surname><given-names>G</given-names></name><name><surname>Rosen</surname><given-names>N</given-names></name><name><surname>Plaschkes</surname><given-names>I</given-names></name><name><surname>Zimmerman</surname><given-names>S</given-names></name><name><surname>Twik</surname><given-names>M</given-names></name><name><surname>Fishilevich</surname><given-names>S</given-names></name><name><surname>Stein</surname><given-names>TI</given-names></name><name><surname>Nudel</surname><given-names>R</given-names></name><name><surname>Lieder</surname><given-names>I</given-names></name><name><surname>Mazor</surname><given-names>Y</given-names></name><etal/></person-group><article-title>The gene cards suite: From gene data mining to disease genome sequence analyses</article-title><source>Curr Protoc Bioinformatics</source><volume>54</volume><fpage>1.30.1</fpage><lpage>1.30.33</lpage><year>2016</year><pub-id pub-id-type="pmid">26983021</pub-id><pub-id pub-id-type="doi">10.1089/omi.2015.0168</pub-id></element-citation></ref>
<ref id="b39-ETM-32-3-13230"><label>39</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tang</surname><given-names>Z</given-names></name><name><surname>Li</surname><given-names>C</given-names></name><name><surname>Kang</surname><given-names>B</given-names></name><name><surname>Gao</surname><given-names>G</given-names></name><name><surname>Li</surname><given-names>C</given-names></name><name><surname>Zhang</surname><given-names>Z</given-names></name></person-group><article-title>GEPIA: A web server for cancer and normal gene expression profiling and interactive analyses</article-title><source>Nucleic Acids Res</source><volume>45</volume><fpage>W98</fpage><lpage>W102</lpage><year>2017</year><pub-id pub-id-type="pmid">28407145</pub-id><pub-id pub-id-type="doi">10.1093/nar/gkx247</pub-id></element-citation></ref>
<ref id="b40-ETM-32-3-13230"><label>40</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Uhl&#x00E9;n</surname><given-names>M</given-names></name><name><surname>Fagerberg</surname><given-names>L</given-names></name><name><surname>Hallstr&#x00F6;m</surname><given-names>BM</given-names></name><name><surname>Lindskog</surname><given-names>C</given-names></name><name><surname>Oksvold</surname><given-names>P</given-names></name><name><surname>Mardinoglu</surname><given-names>A</given-names></name><name><surname>Sivertsson</surname><given-names>&#x00C5;</given-names></name><name><surname>Kampf</surname><given-names>C</given-names></name><name><surname>Sj&#x00F6;stedt</surname><given-names>E</given-names></name><name><surname>Asplund</surname><given-names>A</given-names></name><etal/></person-group><article-title>Proteomics</article-title><source>Tissue-based map of the human proteome. Science</source><volume>347</volume><issue>1260419</issue><year>2015</year><pub-id pub-id-type="pmid">25613900</pub-id><pub-id pub-id-type="doi">10.1126/science.1260419</pub-id></element-citation></ref>
<ref id="b41-ETM-32-3-13230"><label>41</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Warde-Farley</surname><given-names>D</given-names></name><name><surname>Donaldson</surname><given-names>SL</given-names></name><name><surname>Comes</surname><given-names>O</given-names></name><name><surname>Zuberi</surname><given-names>K</given-names></name><name><surname>Badrawi</surname><given-names>R</given-names></name><name><surname>Chao</surname><given-names>P</given-names></name><name><surname>Franz</surname><given-names>M</given-names></name><name><surname>Grouios</surname><given-names>C</given-names></name><name><surname>Kazi</surname><given-names>F</given-names></name><name><surname>Lopes</surname><given-names>CT</given-names></name><etal/></person-group><article-title>The GeneMANIA prediction server: Biological network integration for gene prioritization and predicting gene function</article-title><source>Nucleic Acids Res</source><volume>38</volume><fpage>W214</fpage><lpage>W220</lpage><year>2010</year><pub-id pub-id-type="pmid">20576703</pub-id><pub-id pub-id-type="doi">10.1093/nar/gkq537</pub-id></element-citation></ref>
<ref id="b42-ETM-32-3-13230"><label>42</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname><given-names>G</given-names></name><name><surname>Soufan</surname><given-names>O</given-names></name><name><surname>Ewald</surname><given-names>J</given-names></name><name><surname>Hancock</surname><given-names>REW</given-names></name><name><surname>Basu</surname><given-names>N</given-names></name><name><surname>Xia</surname><given-names>J</given-names></name></person-group><article-title>NetworkAnalyst 3.0: A visual analytics platform for comprehensive gene expression profiling and meta-analysis</article-title><source>Nucleic Acids Res</source><volume>47</volume><fpage>W234</fpage><lpage>W241</lpage><year>2019</year><pub-id pub-id-type="pmid">30931480</pub-id><pub-id pub-id-type="doi">10.1093/nar/gkz240</pub-id></element-citation></ref>
<ref id="b43-ETM-32-3-13230"><label>43</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Livak</surname><given-names>KJ</given-names></name><name><surname>Schmittgen</surname><given-names>TD</given-names></name></person-group><article-title>Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method</article-title><source>Methods</source><volume>25</volume><fpage>402</fpage><lpage>408</lpage><year>2001</year><pub-id pub-id-type="pmid">11846609</pub-id><pub-id pub-id-type="doi">10.1006/meth.2001.1262</pub-id></element-citation></ref>
<ref id="b44-ETM-32-3-13230"><label>44</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Montenont</surname><given-names>E</given-names></name><name><surname>Rondina</surname><given-names>MT</given-names></name><name><surname>Campbell</surname><given-names>RA</given-names></name></person-group><article-title>Campbell, Altered functions of platelets during aging</article-title><source>Curr Opin Hematol</source><volume>26</volume><fpage>336</fpage><lpage>342</lpage><year>2019</year><pub-id pub-id-type="pmid">31348047</pub-id><pub-id pub-id-type="doi">10.1097/MOH.0000000000000526</pub-id></element-citation></ref>
<ref id="b45-ETM-32-3-13230"><label>45</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>HL</given-names></name><name><surname>Wang</surname><given-names>QY</given-names></name><name><surname>Qi</surname><given-names>RM</given-names></name><name><surname>Cai</surname><given-names>JP</given-names></name></person-group><article-title>Identification of the changes in the platelet proteomic profile of elderly individuals</article-title><source>Front Cardiovasc Med</source><volume>11</volume><issue>1384679</issue><year>2024</year><pub-id pub-id-type="pmid">38807946</pub-id><pub-id pub-id-type="doi">10.3389/fcvm.2024.1384679</pub-id></element-citation></ref>
<ref id="b46-ETM-32-3-13230"><label>46</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Syrjanen</surname><given-names>KJ</given-names></name></person-group><article-title>HPV infections and oesophageal cancer</article-title><source>J Clin Pathol</source><volume>55</volume><fpage>721</fpage><lpage>728</lpage><year>2002</year><pub-id pub-id-type="pmid">12354793</pub-id><pub-id pub-id-type="doi">10.1136/jcp.55.10.721</pub-id></element-citation></ref>
<ref id="b47-ETM-32-3-13230"><label>47</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Thomas</surname><given-names>M</given-names></name><name><surname>Pim</surname><given-names>D</given-names></name><name><surname>Banks</surname><given-names>L</given-names></name></person-group><article-title>The role of the E6-p53 interaction in the molecular pathogenesis of HPV</article-title><source>Oncogene</source><volume>18</volume><fpage>7690</fpage><lpage>7700</lpage><year>1999</year><pub-id pub-id-type="pmid">10618709</pub-id><pub-id pub-id-type="doi">10.1038/sj.onc.1202953</pub-id></element-citation></ref>
<ref id="b48-ETM-32-3-13230"><label>48</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Maufort</surname><given-names>JP</given-names></name><name><surname>Shai</surname><given-names>A</given-names></name><name><surname>Pitot</surname><given-names>HC</given-names></name><name><surname>Lambert</surname><given-names>PF</given-names></name></person-group><article-title>A role for HPV16 E5 in cervical carcinogenesis</article-title><source>Cancer Res</source><volume>70</volume><fpage>2924</fpage><lpage>2931</lpage><year>2010</year><pub-id pub-id-type="pmid">20332225</pub-id><pub-id pub-id-type="doi">10.1158/0008-5472.CAN-09-3436</pub-id></element-citation></ref>
<ref id="b49-ETM-32-3-13230"><label>49</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chang</surname><given-names>JL</given-names></name><name><surname>Tsao</surname><given-names>YP</given-names></name><name><surname>Liu</surname><given-names>DW</given-names></name><name><surname>Huang</surname><given-names>SJ</given-names></name><name><surname>Lee</surname><given-names>WH</given-names></name><name><surname>Chen</surname><given-names>SL</given-names></name></person-group><article-title>The expression of HPV-16 E5 protein in squamous neoplastic changes in the uterine cervix</article-title><source>J Biomed Sci</source><volume>8</volume><fpage>206</fpage><lpage>213</lpage><year>2001</year><pub-id pub-id-type="pmid">11287752</pub-id><pub-id pub-id-type="doi">10.1007/BF02256414</pub-id></element-citation></ref>
<ref id="b50-ETM-32-3-13230"><label>50</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname><given-names>SW</given-names></name><name><surname>Yang</surname><given-names>JS</given-names></name></person-group><article-title>Human papillomavirus type 16 E5 protein as a therapeutic target</article-title><source>Yonsei Med J</source><volume>47</volume><fpage>1</fpage><lpage>14</lpage><year>2006</year><pub-id pub-id-type="pmid">16502480</pub-id><pub-id pub-id-type="doi">10.3349/ymj.2006.47.1.1</pub-id></element-citation></ref>
<ref id="b51-ETM-32-3-13230"><label>51</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Crusius</surname><given-names>K</given-names></name><name><surname>Rodriguez</surname><given-names>I</given-names></name><name><surname>Alonso</surname><given-names>A</given-names></name></person-group><article-title>The human papillomavirus type 16 E5 protein modulates ERK1/2 and p38 MAP kinase activation by an EGFR-independent process in stressed human keratinocytes</article-title><source>Virus Genes</source><volume>20</volume><fpage>65</fpage><lpage>69</lpage><year>2000</year><pub-id pub-id-type="pmid">10766308</pub-id><pub-id pub-id-type="doi">10.1023/a:1008112207824</pub-id></element-citation></ref>
<ref id="b52-ETM-32-3-13230"><label>52</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Crusius</surname><given-names>K</given-names></name><name><surname>Auvinen</surname><given-names>E</given-names></name><name><surname>Alonso</surname><given-names>A</given-names></name></person-group><article-title>Enhancement of EGF- and PMA-mediated MAP kinase activation in cells expressing the human papillomavirus type 16 E5 protein</article-title><source>Oncogene</source><volume>15</volume><fpage>1437</fpage><lpage>1444</lpage><year>1997</year><pub-id pub-id-type="pmid">9333019</pub-id><pub-id pub-id-type="doi">10.1038/sj.onc.1201312</pub-id></element-citation></ref>
<ref id="b53-ETM-32-3-13230"><label>53</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>SL</given-names></name><name><surname>Lin</surname><given-names>YK</given-names></name><name><surname>Li</surname><given-names>LY</given-names></name><name><surname>Tsao</surname><given-names>YP</given-names></name><name><surname>Lo</surname><given-names>HY</given-names></name><name><surname>Wang</surname><given-names>WB</given-names></name><name><surname>Tsai</surname><given-names>TC</given-names></name></person-group><article-title>E5 proteins of human papillomavirus types 11 and 16 transactivate the c-fos promoter through the NF1 binding element</article-title><source>J Virol</source><volume>70</volume><fpage>8558</fpage><lpage>8563</lpage><year>1996</year><pub-id pub-id-type="pmid">8970980</pub-id><pub-id pub-id-type="doi">10.1128/JVI.70.12.8558-8563.1996</pub-id></element-citation></ref>
<ref id="b54-ETM-32-3-13230"><label>54</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>SL</given-names></name><name><surname>Huang</surname><given-names>CH</given-names></name><name><surname>Tsai</surname><given-names>TC</given-names></name><name><surname>Lu</surname><given-names>KY</given-names></name><name><surname>Tsao</surname><given-names>YP</given-names></name></person-group><article-title>The regulation mechanism of c-jun and junB by human papillomavirus type 16 E5 oncoprotein</article-title><source>Arch Virol</source><volume>141</volume><fpage>791</fpage><lpage>800</lpage><year>1996</year><pub-id pub-id-type="pmid">8678826</pub-id><pub-id pub-id-type="doi">10.1007/BF01718155</pub-id></element-citation></ref>
<ref id="b55-ETM-32-3-13230"><label>55</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ye</surname><given-names>Q</given-names></name><name><surname>Putila</surname><given-names>J</given-names></name><name><surname>Raese</surname><given-names>R</given-names></name><name><surname>Dong</surname><given-names>C</given-names></name><name><surname>Qian</surname><given-names>Y</given-names></name><name><surname>Dowlati</surname><given-names>A</given-names></name><name><surname>Guo</surname><given-names>NL</given-names></name></person-group><article-title>Identification of prognostic and chemopredictive microRNAs for non-small-cell lung cancer by integrating SEER-medicare data</article-title><source>Int J Mol Sci</source><volume>22</volume><issue>7658</issue><year>2021</year><pub-id pub-id-type="pmid">34299277</pub-id><pub-id pub-id-type="doi">10.3390/ijms22147658</pub-id></element-citation></ref>
<ref id="b56-ETM-32-3-13230"><label>56</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname><given-names>Z</given-names></name><name><surname>Xia</surname><given-names>F</given-names></name><name><surname>Lin</surname><given-names>R</given-names></name></person-group><article-title>LncRNA HOTAIR influences the growth, migration, and invasion of papillary thyroid carcinoma via affection on the miR-488-5p/NUP205 axis</article-title><source>Technol Cancer Res Treat</source><volume>19</volume><issue>1533033820962125</issue><year>2020</year><pub-id pub-id-type="pmid">33107391</pub-id><pub-id pub-id-type="doi">10.1177/1533033820962125</pub-id></element-citation></ref>
<ref id="b57-ETM-32-3-13230"><label>57</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ji</surname><given-names>L</given-names></name><name><surname>Fu</surname><given-names>J</given-names></name><name><surname>Hao</surname><given-names>J</given-names></name><name><surname>Ji</surname><given-names>Y</given-names></name><name><surname>Wang</surname><given-names>H</given-names></name><name><surname>Wang</surname><given-names>Z</given-names></name><name><surname>Wang</surname><given-names>P</given-names></name><name><surname>Xiao</surname><given-names>H</given-names></name></person-group><article-title>Proteomics analysis of tissue small extracellular vesicles reveals protein panels for the reoccurrence prediction of colorectal cancer</article-title><source>J Proteomics</source><volume>249</volume><issue>104347</issue><year>2021</year><pub-id pub-id-type="pmid">34384913</pub-id><pub-id pub-id-type="doi">10.1016/j.jprot.2021.104347</pub-id></element-citation></ref>
<ref id="b58-ETM-32-3-13230"><label>58</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mackay</surname><given-names>DR</given-names></name><name><surname>Howa</surname><given-names>AC</given-names></name><name><surname>Werner</surname><given-names>TL</given-names></name><name><surname>Ullman</surname><given-names>KS</given-names></name></person-group><article-title>Nup153 and Nup50 promote recruitment of 53BP1 to DNA repair foci by antagonizing BRCA1-dependent events</article-title><source>J Cell Sci</source><volume>130</volume><fpage>3347</fpage><lpage>3359</lpage><year>2017</year><pub-id pub-id-type="pmid">28751496</pub-id><pub-id pub-id-type="doi">10.1242/jcs.203513</pub-id></element-citation></ref>
<ref id="b59-ETM-32-3-13230"><label>59</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wei</surname><given-names>Z</given-names></name><name><surname>Xu</surname><given-names>J</given-names></name><name><surname>Li</surname><given-names>W</given-names></name><name><surname>Ou</surname><given-names>L</given-names></name><name><surname>Zhou</surname><given-names>Y</given-names></name><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Shi</surname><given-names>B</given-names></name></person-group><article-title>SMARCC1 enters the nucleus via KPNA2 and plays an oncogenic role in bladder cancer</article-title><source>Front Mol Biosci</source><volume>9</volume><issue>902220</issue><year>2022</year><pub-id pub-id-type="pmid">35669562</pub-id><pub-id pub-id-type="doi">10.3389/fmolb.2022.902220</pub-id></element-citation></ref>
<ref id="b60-ETM-32-3-13230"><label>60</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kindermann</surname><given-names>B</given-names></name><name><surname>Valkova</surname><given-names>C</given-names></name><name><surname>Kr&#x00E4;mer</surname><given-names>A</given-names></name><name><surname>Perner</surname><given-names>B</given-names></name><name><surname>Engelmann</surname><given-names>C</given-names></name><name><surname>Behrendt</surname><given-names>L</given-names></name><name><surname>Kritsch</surname><given-names>D</given-names></name><name><surname>Jungnickel</surname><given-names>B</given-names></name><name><surname>Kehlenbach</surname><given-names>RH</given-names></name><name><surname>Oswald</surname><given-names>F</given-names></name><etal/></person-group><article-title>The nuclear pore proteins Nup88/214 and T-cell acute lymphatic leukemia-associated NUP214 fusion proteins regulate Notch signaling</article-title><source>J Biol Chem</source><volume>294</volume><fpage>11741</fpage><lpage>11750</lpage><year>2019</year><pub-id pub-id-type="pmid">31186352</pub-id><pub-id pub-id-type="doi">10.1074/jbc.RA118.006357</pub-id></element-citation></ref>
<ref id="b61-ETM-32-3-13230"><label>61</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Brustmann</surname><given-names>H</given-names></name><name><surname>Hager</surname><given-names>M</given-names></name></person-group><article-title>Nucleoporin 88 expression in normal and neoplastic squamous epithelia of the uterine cervix</article-title><source>Ann Diagn Pathol</source><volume>13</volume><fpage>303</fpage><lpage>307</lpage><year>2009</year><pub-id pub-id-type="pmid">19751906</pub-id><pub-id pub-id-type="doi">10.1016/j.anndiagpath.2009.05.005</pub-id></element-citation></ref>
<ref id="b62-ETM-32-3-13230"><label>62</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schneider</surname><given-names>J</given-names></name><name><surname>Mart&#x00ED;nez-Arribas</surname><given-names>F</given-names></name><name><surname>Torrej&#x00F3;n</surname><given-names>R</given-names></name></person-group><article-title>Nup88 expression is associated with myometrial invasion in endometrial carcinoma</article-title><source>Int J Gynecol Cancer</source><volume>20</volume><fpage>804</fpage><lpage>808</lpage><year>2010</year><pub-id pub-id-type="pmid">20973273</pub-id><pub-id pub-id-type="doi">10.1111/igc.0b013e3181dfaa6b</pub-id></element-citation></ref>
<ref id="b63-ETM-32-3-13230"><label>63</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Taniuchi</surname><given-names>K</given-names></name><name><surname>Yawata</surname><given-names>T</given-names></name><name><surname>Tsuboi</surname><given-names>M</given-names></name><name><surname>Ueba</surname><given-names>T</given-names></name><name><surname>Saibara</surname><given-names>T</given-names></name></person-group><article-title>Efficient delivery of small interfering RNAs targeting particular mRNAs into pancreatic cancer cells inhibits invasiveness and metastasis of pancreatic tumors</article-title><source>Oncotarget</source><volume>10</volume><fpage>2869</fpage><lpage>2886</lpage><year>2019</year><pub-id pub-id-type="pmid">31080558</pub-id><pub-id pub-id-type="doi">10.18632/oncotarget.26880</pub-id></element-citation></ref>
<ref id="b64-ETM-32-3-13230"><label>64</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ciriello</surname><given-names>G</given-names></name><name><surname>Cerami</surname><given-names>E</given-names></name><name><surname>Sander</surname><given-names>C</given-names></name><name><surname>Schultz</surname><given-names>N</given-names></name></person-group><article-title>Mutual exclusivity analysis identifies oncogenic network modules</article-title><source>Genome Res</source><volume>22</volume><fpage>398</fpage><lpage>406</lpage><year>2012</year><pub-id pub-id-type="pmid">21908773</pub-id><pub-id pub-id-type="doi">10.1101/gr.125567.111</pub-id></element-citation></ref>
<ref id="b65-ETM-32-3-13230"><label>65</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Smitherman</surname><given-names>M</given-names></name><name><surname>Lee</surname><given-names>K</given-names></name><name><surname>Swanger</surname><given-names>J</given-names></name><name><surname>Kapur</surname><given-names>R</given-names></name><name><surname>Clurman</surname><given-names>BE</given-names></name></person-group><article-title>Characterization and targeted disruption of murine Nup50, a p27(Kip1)-interacting component of the nuclear pore complex</article-title><source>Mol Cell Biol</source><volume>20</volume><fpage>5631</fpage><lpage>4562</lpage><year>2000</year><pub-id pub-id-type="pmid">10891500</pub-id><pub-id pub-id-type="doi">10.1128/MCB.20.15.5631-5642.2000</pub-id></element-citation></ref>
<ref id="b66-ETM-32-3-13230"><label>66</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kalverda</surname><given-names>B</given-names></name><name><surname>Pickersgill</surname><given-names>H</given-names></name><name><surname>Shloma</surname><given-names>VV</given-names></name><name><surname>Fornerod</surname><given-names>M</given-names></name></person-group><article-title>Nucleoporins directly stimulate expression of developmental and cell-cycle genes inside the nucleoplasm</article-title><source>Cell</source><volume>140</volume><fpage>360</fpage><lpage>371</lpage><year>2010</year><pub-id pub-id-type="pmid">20144760</pub-id><pub-id pub-id-type="doi">10.1016/j.cell.2010.01.011</pub-id></element-citation></ref>
<ref id="b67-ETM-32-3-13230"><label>67</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Badial</surname><given-names>K</given-names></name><name><surname>Lacayo</surname><given-names>P</given-names></name><name><surname>Murakami</surname><given-names>S</given-names></name></person-group><article-title>Biology of healthy aging: Biological hallmarks of stress resistance related and unrelated to longevity in humans</article-title><source>Int J Mol Sci</source><volume>25</volume><issue>10493</issue><year>2024</year><pub-id pub-id-type="pmid">39408822</pub-id><pub-id pub-id-type="doi">10.3390/ijms251910493</pub-id></element-citation></ref>
</ref-list>
</back>
<floats-group>
<fig id="f1-ETM-32-3-13230" position="float">
<label>Figure 1</label>
<caption><p>Flow chart of the analyses performed in the present study. HPV, human papillovirus; DAVID, Database for Annotation, Visualization, and Integrated Discovery; GO, Gene Ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; STRING, Search Tool for the Retrieval of Interacting Genes; GEPIA, Gene Expression Profiling Interactive Analysis; miRNAs, microRNAs; NUP, nucleoporin.</p></caption>
<graphic xlink:href="etm-32-03-13230-g00.tif"/>
</fig>
<fig id="f2-ETM-32-3-13230" position="float">
<label>Figure 2</label>
<caption><p>Volcano plots showing the differentially expressed genes in five cervical cancer datasets. Volcano plots for the (A) GSE26511, (B) GSE26888, (C) GSE9750, (D) GSE7803 and (E) GSE5787 datasets. Red dots indicate significantly upregulated genes, blue dots indicate significantly downregulated genes, and black dots represent genes with no significant change in expression. Padj, adjusted P-value.</p></caption>
<graphic xlink:href="etm-32-03-13230-g01.tif"/>
</fig>
<fig id="f3-ETM-32-3-13230" position="float">
<label>Figure 3</label>
<caption><p>Venn diagram of the differentially expressed genes in five cervical cancer data sets: GSE26511, GSE26888, GSE9750, GSE7803 and GSE5787.</p></caption>
<graphic xlink:href="etm-32-03-13230-g02.tif"/>
</fig>
<fig id="f4-ETM-32-3-13230" position="float">
<label>Figure 4</label>
<caption><p>OncoPrint summary and survival analyses performed by cBioPortal. (A) OncoPrint summary of the top 10 hub genes in cervical cancer. Kaplan-Meier analyses of (B) overall survival and (C) progression-free survival for the combined top 10 hub genes. NUP, nucleoporin; SEC13, SEC13 homolog, nuclear pore and COPII coat complex component; RPPA, Reverse Phase Protein Array; GISTIC, Genomic Identification of Significant Targets in Cancer; RSEM, RNA-Seq by expectation maximization; Seq, sequencing.</p></caption>
<graphic xlink:href="etm-32-03-13230-g03.tif"/>
</fig>
<fig id="f5-ETM-32-3-13230" position="float">
<label>Figure 5</label>
<caption><p>NUP50, NUP98 and NUP160 mRNA expression in cell lines with different HPV status. (A) NUP50, (B) NUP98 and (C) NUP160 expression in the SiHa and HeLa HPV-positive cell lines relative to those in the C33a HPV-negative cell line. <sup>&#x002A;</sup>P&#x003C;0.05. HPV, human papillomavirus; NUP, nucleoporin.</p></caption>
<graphic xlink:href="etm-32-03-13230-g04.tif"/>
</fig>
<fig id="f6-ETM-32-3-13230" position="float">
<label>Figure 6</label>
<caption><p>Gene-gene interaction networks for NUP genes generated using GeneMANIA. Networks for (A) NUP50, (B) NUP98 and (C) NUP160. NUP, nucleoporin.</p></caption>
<graphic xlink:href="etm-32-03-13230-g05.tif"/>
</fig>
<fig id="f7-ETM-32-3-13230" position="float">
<label>Figure 7</label>
<caption><p>NUP-miRNA interaction network. The red circles represent NUPs and the blue squares represent miRNAs. NUP, nucleoporin; miRNA/mir, microRNA.</p></caption>
<graphic xlink:href="etm-32-03-13230-g06.tif"/>
</fig>
<table-wrap id="tI-ETM-32-3-13230" position="float">
<label>Table I</label>
<caption><p>Top 10 hub genes and their pathways.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Gene name</th>
<th align="center" valign="middle">Pathways</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">NUP160</td>
<td align="left" valign="middle">- Transport of the SLBP-independent mature mRNA</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- EML4 and NUDC in mitotic spindle formation</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Cell cycle, mitotic</td>
</tr>
<tr>
<td align="left" valign="middle">NUP85</td>
<td align="left" valign="middle">- Transport of the SLBP independent mature mRNA</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- EML4 and NUDC in mitotic spindle formation</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Separation of sister chromatids</td>
</tr>
<tr>
<td align="left" valign="middle">NUP205</td>
<td align="left" valign="middle">- Transport of the SLBP independent mature mRNA</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Cell cycle, mitotic</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Gene silencing by RNA</td>
</tr>
<tr>
<td align="left" valign="middle">SEC13 homolog, nuclear pore and COPII coat complex component</td>
<td align="left" valign="middle">- Transport of the SLBP independent mature mRNA</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- EML4 and NUDC in mitotic spindle formation</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- wtCFTR and delta508-CFTR traffic/generic schema (norm and CF)</td>
</tr>
<tr>
<td align="left" valign="middle">NUP50</td>
<td align="left" valign="middle">- Transport of the SLBP independent mature mRNA</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Cell cycle, mitotic</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Gene silencing by RNA</td>
</tr>
<tr>
<td align="left" valign="middle">NUP37</td>
<td align="left" valign="middle">- Transport of the SLBP independent mature mRNA</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- EML4 and NUDC in mitotic spindle formation</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Cell cycle, mitotic</td>
</tr>
<tr>
<td align="left" valign="middle">NUP98</td>
<td align="left" valign="middle">- Transport of the SLBP independent mature mRNA</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- EML4 and NUDC in mitotic spindle formation</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Cell cycle, mitotic</td>
</tr>
<tr>
<td align="left" valign="middle">NUP88</td>
<td align="left" valign="middle">- Transport of the SLBP independent mature mRNA</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Cell cycle, mitotic</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Gene silencing by RNA</td>
</tr>
<tr>
<td align="left" valign="middle">NUP-like protein 1/NUP58</td>
<td align="left" valign="middle">- Transport of the SLBP independent mature mRNA</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Cell cycle, mitotic</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Gene silencing by RNA</td>
</tr>
<tr>
<td align="left" valign="middle">NUP133</td>
<td align="left" valign="middle">- Transport of the SLBP independent mature mRNA</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- EML4 and NUDC in mitotic spindle formation</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;</td>
<td align="left" valign="middle">- Cell cycle, mitotic</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>NUP, nucleoporin; SLBP, stem-loop binding protein; EML4, echinoderm microtubule-associated protein-like 4; NUDC, nuclear distribution protein C; SEC13, secretory 13; COPII, coat protein complex II; wtCFTR, wild-type cystic fibrosis transmembrane conductance regulator.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-ETM-32-3-13230" position="float">
<label>Table II</label>
<caption><p>Co-occurrences among the top 10 hub genes as shown by mutual exclusivity analysis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Gene A</th>
<th align="center" valign="middle">Gene B</th>
<th align="center" valign="middle">Neither</th>
<th align="center" valign="middle">A not B</th>
<th align="center" valign="middle">B not A</th>
<th align="center" valign="middle">Both</th>
<th align="center" valign="middle">Log<sub>2</sub> odds ratio</th>
<th align="center" valign="middle">P-value</th>
<th align="center" valign="middle"><sup><xref rid="tfna-ETM-32-3-13230" ref-type="table-fn">a</xref></sup>q-value</th>
<th align="center" valign="middle">Tendency</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">NUP98</td>
<td align="left" valign="middle">NUP50</td>
<td align="center" valign="middle">277</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.008</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP98</td>
<td align="left" valign="middle">NUP160</td>
<td align="center" valign="middle">274</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.013</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP50</td>
<td align="left" valign="middle">NUP160</td>
<td align="center" valign="middle">273</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.015</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP37</td>
<td align="left" valign="middle">NUP153</td>
<td align="center" valign="middle">277</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.035</td>
<td align="center" valign="middle">0.373</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP133</td>
<td align="left" valign="middle">SEC13</td>
<td align="center" valign="middle">280</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.041</td>
<td align="center" valign="middle">0.373</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP58</td>
<td align="left" valign="middle">NUP98</td>
<td align="center" valign="middle">277</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.101</td>
<td align="center" valign="middle">0.39</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP58</td>
<td align="left" valign="middle">NUP50</td>
<td align="center" valign="middle">276</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.117</td>
<td align="center" valign="middle">0.39</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP133</td>
<td align="left" valign="middle">NUP88</td>
<td align="center" valign="middle">276</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.12</td>
<td align="center" valign="middle">0.39</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP133</td>
<td align="left" valign="middle">NUP98</td>
<td align="center" valign="middle">276</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.12</td>
<td align="center" valign="middle">0.39</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP88</td>
<td align="left" valign="middle">NUP98</td>
<td align="center" valign="middle">276</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.12</td>
<td align="center" valign="middle">0.39</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP133</td>
<td align="left" valign="middle">NUP205</td>
<td align="center" valign="middle">276</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.12</td>
<td align="center" valign="middle">0.39</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP88</td>
<td align="left" valign="middle">NUP205</td>
<td align="center" valign="middle">276</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.12</td>
<td align="center" valign="middle">0.39</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP98</td>
<td align="left" valign="middle">NUP205</td>
<td align="center" valign="middle">276</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.12</td>
<td align="center" valign="middle">0.39</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP133</td>
<td align="left" valign="middle">NUP50</td>
<td align="center" valign="middle">275</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.139</td>
<td align="center" valign="middle">0.39</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP88</td>
<td align="left" valign="middle">NUP50</td>
<td align="center" valign="middle">275</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.139</td>
<td align="center" valign="middle">0.39</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP50</td>
<td align="left" valign="middle">NUP205</td>
<td align="center" valign="middle">275</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x003E;3</td>
<td align="center" valign="middle">0.139</td>
<td align="center" valign="middle">0.39</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP58</td>
<td align="left" valign="middle">NUP160</td>
<td align="center" valign="middle">273</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">2.923</td>
<td align="center" valign="middle">0.164</td>
<td align="center" valign="middle">0.414</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP205</td>
<td align="left" valign="middle">NUP153</td>
<td align="center" valign="middle">272</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">2.596</td>
<td align="center" valign="middle">0.193</td>
<td align="center" valign="middle">0.414</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP133</td>
<td align="left" valign="middle">NUP160</td>
<td align="center" valign="middle">272</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">2.596</td>
<td align="center" valign="middle">0.193</td>
<td align="center" valign="middle">0.414</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP88</td>
<td align="left" valign="middle">NUP160</td>
<td align="center" valign="middle">272</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">2.596</td>
<td align="center" valign="middle">0.193</td>
<td align="center" valign="middle">0.414</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP205</td>
<td align="left" valign="middle">NUP160</td>
<td align="center" valign="middle">272</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">2.596</td>
<td align="center" valign="middle">0.193</td>
<td align="center" valign="middle">0.414</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP153</td>
<td align="left" valign="middle">NUP160</td>
<td align="center" valign="middle">268</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1.726</td>
<td align="center" valign="middle">0.303</td>
<td align="center" valign="middle">0.619</td>
<td align="left" valign="middle">Co-occurrence</td>
</tr>
<tr>
<td align="left" valign="middle">NUP58</td>
<td align="left" valign="middle">NUP153</td>
<td align="center" valign="middle">272</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP37</td>
<td align="left" valign="middle">NUP205</td>
<td align="center" valign="middle">280</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP133</td>
<td align="left" valign="middle">NUP58</td>
<td align="center" valign="middle">276</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP58</td>
<td align="left" valign="middle">NUP88</td>
<td align="center" valign="middle">276</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP58</td>
<td align="left" valign="middle">NUP205</td>
<td align="center" valign="middle">276</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP50</td>
<td align="left" valign="middle">NUP153</td>
<td align="center" valign="middle">270</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP133</td>
<td align="left" valign="middle">NUP153</td>
<td align="center" valign="middle">271</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP88</td>
<td align="left" valign="middle">NUP153</td>
<td align="center" valign="middle">271</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP98</td>
<td align="left" valign="middle">NUP153</td>
<td align="center" valign="middle">271</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">SEC13</td>
<td align="left" valign="middle">NUP153</td>
<td align="center" valign="middle">275</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">SEC13</td>
<td align="left" valign="middle">NUP160</td>
<td align="center" valign="middle">275</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP37</td>
<td align="left" valign="middle">NUP160</td>
<td align="center" valign="middle">276</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP58</td>
<td align="left" valign="middle">NUP37</td>
<td align="center" valign="middle">281</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP133</td>
<td align="left" valign="middle">NUP37</td>
<td align="center" valign="middle">280</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP88</td>
<td align="left" valign="middle">NUP37</td>
<td align="center" valign="middle">280</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP98</td>
<td align="left" valign="middle">NUP37</td>
<td align="center" valign="middle">280</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP50</td>
<td align="left" valign="middle">SEC13</td>
<td align="center" valign="middle">278</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP37</td>
<td align="left" valign="middle">NUP50</td>
<td align="center" valign="middle">279</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP58</td>
<td align="left" valign="middle">SEC13</td>
<td align="center" valign="middle">280</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP88</td>
<td align="left" valign="middle">SEC13</td>
<td align="center" valign="middle">279</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP98</td>
<td align="left" valign="middle">SEC13</td>
<td align="center" valign="middle">279</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">SEC13</td>
<td align="left" valign="middle">NUP205</td>
<td align="center" valign="middle">279</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
<tr>
<td align="left" valign="middle">NUP37</td>
<td align="left" valign="middle">SEC13</td>
<td align="center" valign="middle">284</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x003C;-3</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="left" valign="middle">Mutual exclusivity</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfna-ETM-32-3-13230"><p><sup>a</sup>Benjamini-Hochberg false discovery rate correction. NUP, nucleoporin; SEC13, SEC13 homolog, nuclear pore and COPII coat complex component.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
