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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">732822</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2021.732822</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Comprehensive Analysis to Identify <italic>SPP1</italic> as a Prognostic Biomarker in Cervical Cancer</article-title>
<alt-title alt-title-type="left-running-head">Zhao et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">SPP1 Identified as a Prognostic Biomarker in cc</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Kaidi</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1319645/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Zhou</given-names>
</name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff>
<institution>Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/45895/overview">Jian-Bing Fan</ext-link>, Illumina, United&#x20;States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/30999/overview">Lucia Tata-Chayeb</ext-link>, National Institute of Cancerology (INCAN), Mexico</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1275741/overview">Shanqiang Qu</ext-link>, Southern Medical University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Wei Zhang, <email>zn002646@whu.edu.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Human and Medical Genomics, a section of the journal Frontiers in Genetics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>01</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>732822</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>06</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Zhao, Ma and Zhang.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Zhao, Ma and Zhang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Background:</bold> <italic>SPP1</italic>, secreted phosphoprotein 1, is a member of the small integrin-binding ligand N-linked glycoprotein (SIBLING) family. Previous studies have proven <italic>SPP1</italic> overexpressed in a variety of cancers and can be identified as a prognostic factor, while no study has explored the function and carcinogenic mechanism of <italic>SPP1</italic> in cervical cancer.</p>
<p>
<bold>Methods:</bold> We aimed to demonstrate the relationship between <italic>SPP1</italic> expression and pan-cancer using The Cancer Genome Atlas (TCGA) database. Next, we validated <italic>SPP1</italic> expression of cervical cancer in the Gene Expression Omnibus (GEO) database, including GSE7803, GSE63514, and GSE9750. The receiver operating characteristic (ROC) curve was used to evaluate the feasibility of <italic>SPP1</italic> as a differentiating factor by the area under curve (AUC) score. Cox regression and logistic regression were performed to evaluate factors associated with prognosis. The <italic>SPP1</italic>-binding protein network was built by the STRING tool. Enrichment analysis by the R package clusterProfiler was used to explore potential function of <italic>SPP1</italic>. The single-sample GSEA (ssGSEA) method from the R package GSVA and TIMER database were used to investigate the association between the immune infiltration level and <italic>SPP1</italic> expression in cervical cancer.</p>
<p>
<bold>Results:</bold> Pan-cancer data analysis showed that <italic>SPP1</italic> expression was higher in most cancer types, including cervical cancer, and we got the same result in the GEO database. The ROC curve suggested that <italic>SPP1</italic> could be a potential diagnostic biomarker (AUC &#x3d; 0.877). High <italic>SPP1</italic> expression was associated with poorer overall survival (OS) (<italic>P</italic>&#x20;&#x3d; 0.032). Further enrichment and immune infiltration analysis revealed that high <italic>SPP1</italic> expression was correlated with regulating the infiltration level of neutrophil cells and some immune cell types, including macrophage and&#x20;DC.</p>
<p>
<bold>Conclusion:</bold> <italic>SPP1</italic> expression was higher in cervical cancer tissues than in normal cervical epithelial tissues. It was significantly associated with poor prognosis and immune cell infiltration. Thus, <italic>SPP1</italic> may become a promising prognostic biomarker for cervical cancer patients.</p>
</abstract>
<kwd-group>
<kwd>SPP1</kwd>
<kwd>biomarker</kwd>
<kwd>cervical cancer</kwd>
<kwd>prognosis</kwd>
<kwd>immune infiltration</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Cervical cancer remains the fourth most common cancer among women and accounts for 527,624 new diagnosed cases and 265,672 deaths in 2018 (<xref ref-type="bibr" rid="B1">Bray et&#x20;al. (2018)</xref>). Cervical cancer continues to be the first or second leading cause of cancer-related death among women for many low- and middle-income countries (LMICs) (<xref ref-type="bibr" rid="B24">Wang et&#x20;al. (2018)</xref>). Persistent HPV infection, especially types 16 and 18, is a high-risk factor but not the only one for cervical cancer (<xref ref-type="bibr" rid="B16">Revathidevi et&#x20;al. (2020)</xref>). Host genetic factors may also be involved in tumor development. The major treatments for cervical cancer patients include surgery, chemotherapy, and radiotherapy. For patients with early-stage cervical cancer, 5-year survival is up to 91.5%, while the treatment of advanced cervical cancer is not ideal (<xref ref-type="bibr" rid="B13">Luan and Wang (2018)</xref>). The median survival time of metastatic cervical cancer patients is about 8&#x2013;13&#xa0;months, and the 5-year overall survival rate is only around 16.5% (<xref ref-type="bibr" rid="B5">Ferlay et&#x20;al. (2013)</xref>; <xref ref-type="bibr" rid="B23">van Meir et&#x20;al. (2014)</xref>). Therefore, it is urgent to find more accurate biomarkers for early detection of cervical cancer and monitoring the disease progression.</p>
<p>Secreted phosphoprotein 1 (<italic>SPP1</italic>) is a secreted multifunctional phosphoprotein located in 4q13 with seven exons and six introns. <italic>SPP1</italic>, also known as osteopontin-like protein or early T-lymphocyte activation 1 protein, is a member of the small integrin-binding ligand N-linked glycoprotein (SIBLING) family which can specifically bind and activate matrix metalloproteinases (MMPs) in cancer (<xref ref-type="bibr" rid="B21">Su et&#x20;al. (2020)</xref>). Its main biological functions are involved in immune response, biomineralization, and tissue remodeling. <italic>SPP1</italic> is also related to the growth, proliferation, migration, apoptosis, and chemotaxis of cells. Previous studies have proven that <italic>SPP1</italic> is overexpressed in a variety of cancers and can be used to predict the adverse consequences, including ovarian cancer (<xref ref-type="bibr" rid="B28">Zeng et&#x20;al. (2018)</xref>), glioblastoma (<xref ref-type="bibr" rid="B9">Kijewska et&#x20;al. (2017)</xref>), hepatocellular carcinoma (<xref ref-type="bibr" rid="B25">Wang et&#x20;al. (2019)</xref>), and gastric cancer (<xref ref-type="bibr" rid="B19">Song et&#x20;al. (2019)</xref>). Recently, the relationship between the expression of <italic>SPP1</italic> and chemotherapy resistance, such as prostate cancer and hepatocellular carcinoma, has also attracted the attention of researchers (<xref ref-type="bibr" rid="B11">Liu et&#x20;al. (2016)</xref>; <xref ref-type="bibr" rid="B15">Pang et&#x20;al. (2019)</xref>), while no study has explored the correlation between <italic>SPP1</italic> and cervical cancer. Therefore, our study aimed to explore the expression of <italic>SPP1</italic> in cervical cancer tissues and its potential clinical values.</p>
<p>In our research, we utilized the cervical cancer RNA-seq data from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Genotype-Tissue Expression databases to compare the differential expression of <italic>SPP1</italic> between normal cervical tissues and cervical cancer samples. Next, we investigated the relationship between <italic>SPP1</italic> expression levels and clinical pathological features of cervical cancer. Furthermore, we explored the prognostic value of <italic>SPP1</italic> in cervical cancer. Besides, we performed gene enrichment analysis to reveal its potential functions. Finally, we analyzed the relationship between <italic>SPP1</italic> expression and immune infiltration and comprehensively explored its mechanism in inducing and promoting cervical cancer.</p>
</sec>
<sec id="s2">
<title>2 Materials and Methods</title>
<sec id="s2-1">
<title>2.1 RNA Sequencing Data Collection and Analysis</title>
<p>To evaluate the <italic>SPP1</italic> expression level in pan-cancer, we downloaded data from the UCSC Xena (<ext-link ext-link-type="uri" xlink:href="https://xenabrowser.net/datapages/">https://xenabrowser.net/datapages/</ext-link>). We selected samples from the TCGA database for the analysis of <italic>SPP1</italic> expression in tumor tissues, while the combined analysis of TCGA and Genotype-Tissue Expression (GTEx) databases was used for the normal tissue samples. GSE7803 (Platform: GPL96), GSE63514 (Platform: GPL570), and GSE9750 (Platform: GPL96) downloaded from GEO were used to obtain cervical cancer microarray&#x20;data.</p>
</sec>
<sec id="s2-2">
<title>2.2 Correlation and Gene Set Enrichment Analysis</title>
<p>We used data collected from TCGA to perform correlation analysis between <italic>SPP1</italic> and other mRNAs in cervical cancer. To demonstrate the biological function of <italic>SPP1</italic>, we selected the top 100 genes most positively correlated with <italic>SPP1</italic> for enrichment analysis. EnrichGO function in the R package &#x201c;clusterProfiler&#x201d; was used to perform gene ontology (GO) enrichment, including BP, CC, and MF. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis was performed using the EnrichKEGG function of the R package &#x201c;clusterProfiler.&#x201d;</p>
</sec>
<sec id="s2-3">
<title>2.3 Survival Prognosis Analysis</title>
<p>We used the R package &#x201c;survival&#x201d; (version 3.6) to obtain the overall survival (OS) survival plots of <italic>SPP1</italic>. Selecting the cutoff value of 50% as the dividing threshold, the cohorts were divided into high-expression and low-expression groups. To evaluate the value of <italic>SPP1</italic> in predicting the prognosis of cervical cancer patients, we used the R package (version 3.6.3) &#x201c;ROC&#x201d; for analysis and &#x201c;ggplot2&#x201d; for visual.</p>
</sec>
<sec id="s2-4">
<title>2.4 Immune Cell Infiltration Analysis</title>
<p>We used the single-sample GSEA (ssGSEA) method from the R package GSVA (version 3.6) and Tumor Immune Estimation Resource (TIMER) database (<ext-link ext-link-type="uri" xlink:href="http://timer.cistrome.org/">http://timer.cistrome.org/</ext-link>) to comprehensively investigate molecular characterization of tumor&#x2013;immune interactions in cervical cancer. In the literature, we examined the impact of <italic>SPP1</italic> expression on immune cell infiltration using gene expression profiling data. To investigate the correlation between <italic>SPP1</italic> expression and the abundances of tumor-infiltrating immune cells, <italic>p</italic>-values were calculated using the Wilcoxon rank-sum and Spearman&#x2019;s rank correlation&#x20;tests.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 The mRNA Expression Analysis of <italic>SPP1</italic> in Pan-Cancer</title>
<p>Data downloaded from TCGA and GTEx were used to analyze <italic>SPP1</italic> expression in 33 types of cancer. The result revealed that <italic>SPP1</italic> was overexpressed in most cancers, including ACC, BLCA, BRCA, CESC, CHOL, COAD, DLBC, ESCA, GBM, HNSC, KIRP, LAML, LGG, LIHC, LUAD, LUSC, OV, PAAD, PRAD, READ, SKCM, STAD, TGCT, THCA, THYM, UCEC, and UCS. However, the expression of <italic>SPP1</italic> was low in KICH and KIRC (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). Furthermore, we assessed <italic>SPP1</italic> expression in cervical cancer in the GEO database, including GSE7803 (Platform: GPL96), GSE63514 (Platform: GPL570), and GSE9750, and the results confirmed that <italic>SPP1</italic> was overexpressed in cervical cancer tissues (<xref ref-type="fig" rid="F2">Figures 2A&#x2013;C</xref>). Additionally, we performed the receiver operating characteristic (ROC) curve to evaluate the feasibility of the <italic>SPP1</italic> expression level to distinguish cervical cancer tissues from normal cervical tissues. The area under the ROC curve (AUC) was 0.877, representing the quality of the&#x20;test.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>
<italic>SPP1</italic> expression in normal and tumor tissues in TCGA and GTEx databases.</p>
</caption>
<graphic xlink:href="fgene-12-732822-g001.tif"/>
</fig>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>
<italic>SPP1</italic> expression in the GEO database. <bold>(A)</bold> <italic>SPP1</italic> expression in normal and tumor tissues in cervical cancer from GSE7803. <bold>(B)</bold> <italic>SPP1</italic> expression in normal cervical epithelial and cervical cancer tissues from GSE63514. <bold>(C)</bold> <italic>SPP1</italic> expression in normal cervical tissues and cervical cancer epithelial component from GSE9750. <bold>(D)</bold> ROC curve of <italic>SPP1</italic> in cervical cancer. <italic>X</italic>-axis represents false-positive rates, and <italic>Y</italic>-axis represents true-positive&#x20;rates.</p>
</caption>
<graphic xlink:href="fgene-12-732822-g002.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 Clinical Relevance of the <italic>SPP1</italic> Expression in Cervical Cancer Patients</title>
<p>The characteristics of 306 primary cervical cancer patients with both clinical and gene expression data were downloaded from TCGA database. With the cutoff value of 50% as the dividing threshold, the patients were divided into a high&#x2013;<italic>SPP1</italic> expression group (<italic>n</italic>&#x20;&#x3d; 153) and a low&#x2013;<italic>SPP1</italic> expression group (<italic>n</italic>&#x20;&#x3d; 153). The correlation of the <italic>SPP1</italic> expression level and patients&#x2019; clinicopathologic characteristics was explored. We found that <italic>SPP1</italic> expression was significantly associated with T stage (<italic>P</italic>&#x20;&#x3d; 0.02), clinical stage (<italic>P</italic>&#x20;&#x3d; 0.02), and histologic type (<italic>P</italic> <inline-formula id="inf1">
<mml:math id="m1">
<mml:mo>&#x3c;</mml:mo>
</mml:math>
</inline-formula> 0.001) by using the chi-square test or Fisher&#x2019;s exact test. The Wilcoxon rank-sum test revealed that <italic>SPP1</italic> expression was associated with age (<italic>P</italic>&#x20;&#x3d; 0.038) (<xref ref-type="table" rid="T1">Table&#x20;1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Correlation analyzed between <italic>SPP1</italic> expression and clinicopathologic characteristics in cervical cancer based on TCGA database.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Characteristic</th>
<th align="center">Low expression of SPP1</th>
<th align="center">High expression of SPP1</th>
<th align="center">p value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">N</td>
<td align="center">153</td>
<td align="center">153</td>
<td align="left"/>
</tr>
<tr>
<td align="left">T stage, n (%)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.020</td>
</tr>
<tr>
<td align="left">&#xa0;T1</td>
<td align="center">82 (33.7%)</td>
<td align="center">58 (23.9%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;T2</td>
<td align="center">31 (12.8%)</td>
<td align="center">41 (16.9%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;T3</td>
<td align="center">6 (2.5%)</td>
<td align="center">15 (6.2%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;T4</td>
<td align="center">4 (1.6%)</td>
<td align="center">6 (2.5%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">N stage, n (%)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.243</td>
</tr>
<tr>
<td align="left">&#xa0;N0</td>
<td align="center">73 (37.4%)</td>
<td align="center">61 (31.3%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;N1</td>
<td align="center">27 (13.8%)</td>
<td align="center">34 (17.4%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">M stage, n (%)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.699</td>
</tr>
<tr>
<td align="left">&#xa0;M0</td>
<td align="center">55 (43.3%)</td>
<td align="center">61 (48%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;M1</td>
<td align="center">4 (3.1%)</td>
<td align="center">7 (5.5%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Clinical stage, n (%)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.020</td>
</tr>
<tr>
<td align="left">&#xa0;Stage I</td>
<td align="center">95 (31.8%)</td>
<td align="center">67 (22.4%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;Stage II</td>
<td align="center">30 (10%)</td>
<td align="center">39 (13%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;Stage III</td>
<td align="center">17 (5.7%)</td>
<td align="center">29 (9.7%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;Stage IV</td>
<td align="center">9 (3%)</td>
<td align="center">13 (4.3%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Radiation therapy, n (%)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.726</td>
</tr>
<tr>
<td align="left">&#xa0;No</td>
<td align="center">63 (20.6%)</td>
<td align="center">59 (19.3%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;Yes</td>
<td align="center">90 (29.4%)</td>
<td align="center">94 (30.7%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Primary therapy outcome, n (%)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.106</td>
</tr>
<tr>
<td align="left">&#xa0;PD</td>
<td align="center">7 (3.2%)</td>
<td align="center">16 (7.3%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;SD</td>
<td align="center">2 (0.9%)</td>
<td align="center">4 (1.8%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;PR</td>
<td align="center">4 (1.8%)</td>
<td align="center">4 (1.8%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;CR</td>
<td align="center">101 (46.1%)</td>
<td align="center">81 (37%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Race, n (%)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.444</td>
</tr>
<tr>
<td align="left">&#xa0;Asian</td>
<td align="center">12 (4.6%)</td>
<td align="center">8 (3.1%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;Black or African American</td>
<td align="center">13 (5%)</td>
<td align="center">18 (6.9%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;White</td>
<td align="center">106 (40.6%)</td>
<td align="center">104 (39.8%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Histologic type, n (%)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#xa0;Adenosquamous</td>
<td align="center">40 (13.1%)</td>
<td align="center">13 (4.2%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;Squamous cell carcinoma</td>
<td align="center">113 (36.9%)</td>
<td align="center">140 (45.8%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Histologic grade, n (%)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.954</td>
</tr>
<tr>
<td align="left">&#xa0;G1</td>
<td align="center">10 (3.6%)</td>
<td align="center">9 (3.3%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;G2</td>
<td align="center">69 (25.2%)</td>
<td align="center">66 (24.1%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;G3</td>
<td align="center">62 (22.6%)</td>
<td align="center">57 (20.8%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;G4</td>
<td align="center">0 (0%)</td>
<td align="center">1 (0.4%)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Age (years), median (IQR)</td>
<td align="center">45 (37, 54)</td>
<td align="center">49 (40, 60)</td>
<td align="char" char=".">0.038</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>We conducted the logistic regression method to further analyze the relationship between the <italic>SPP1</italic> expression level and the clinicopathologic characteristics of cervical cancer. The results showed that the expression level of <italic>SPP1</italic> was significantly associated with T stage (<italic>P</italic>&#x20;&#x3d; 0.004), clinical stage (<italic>P</italic>&#x20;&#x3d; 0.002), primary therapy outcome (<italic>P</italic>&#x20;&#x3d; 0.033), histologic type (<italic>P</italic> <inline-formula id="inf2">
<mml:math id="m2">
<mml:mo>&#x3c;</mml:mo>
</mml:math>
</inline-formula> 0.001), and age (<italic>P</italic>&#x20;&#x3d; 0.019) (<xref ref-type="table" rid="T2">Table&#x20;2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>
<italic>SPP1</italic> expression associated with clinicopathologic characteristics by logistic regression.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Characteristic</th>
<th align="center">Total (N)</th>
<th align="center">Odds ratio (OR)</th>
<th align="center">
<italic>p</italic> value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">T stage (T2 and T3 and T4 vs. T1)</td>
<td align="char" char=".">243</td>
<td align="char" char="(">2.138 (1.278&#x2013;3.609)</td>
<td align="char" char=".">0.004</td>
</tr>
<tr>
<td align="left">N stage (N1 vs. N0)</td>
<td align="char" char=".">195</td>
<td align="char" char="(">1.507 (0.821&#x2013;2.786)</td>
<td align="char" char=".">0.187</td>
</tr>
<tr>
<td align="left">M stage (M1 vs. M0)</td>
<td align="char" char=".">127</td>
<td align="char" char="(">1.578 (0.451&#x2013;6.294)</td>
<td align="char" char=".">0.485</td>
</tr>
<tr>
<td align="left">Clinical stage (Stage II and Stage III and Stage IV vs. Stage I)</td>
<td align="char" char=".">299</td>
<td align="char" char="(">2.051 (1.295&#x2013;3.269)</td>
<td align="char" char=".">0.002</td>
</tr>
<tr>
<td align="left">Primary therapy outcome (SD and PR and CR vs. PD)</td>
<td align="char" char=".">219</td>
<td align="char" char="(">0.364 (0.135&#x2013;0.893)</td>
<td align="char" char=".">0.033</td>
</tr>
<tr>
<td align="left">Histologic type (squamous cell carcinoma vs. adenosquamous)</td>
<td align="char" char=".">306</td>
<td align="char" char="(">3.812 (1.993&#x2013;7.732)</td>
<td align="char" char=".">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Age (&#x3e;50 vs. &#x2264;50 years)</td>
<td align="char" char=".">306</td>
<td align="char" char="(">1.743 (1.097&#x2013;2.787)</td>
<td align="char" char=".">0.019</td>
</tr>
<tr>
<td align="left">Radiation therapy (yes vs. no)</td>
<td align="char" char=".">306</td>
<td align="char" char="(">1.115 (0.706&#x2013;1.765)</td>
<td align="char" char=".">0.641</td>
</tr>
<tr>
<td align="left">Histologic grade (G2 and G3 and G4 vs. G1)</td>
<td align="char" char=".">274</td>
<td align="char" char="(">1.052 (0.411&#x2013;2.731)</td>
<td align="char" char=".">0.916</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Association Between <italic>SPP1</italic> Expression and Cancer Patient Survival Prognosis</title>
<p>We performed univariate and multivariate Cox analyses of overall survival (OS) in cervical cancer patients, and results are shown in <xref ref-type="table" rid="T3">Table&#x20;3</xref>. In univariate Cox analysis of <italic>SPP1</italic>, T stage (<italic>P</italic>&#x20;&#x3d; 0.025), N stage (<italic>P</italic>&#x20;&#x3d; 0.002), M stage (<italic>P</italic>&#x20;&#x3d; 0.023), and <italic>SPP1</italic> expression (<italic>P</italic>&#x20;&#x3d; 0.032) were associated with overall survival (OS) in cervical cancer patients. In the multivariate Cox model, we found that N stage (<italic>P</italic>&#x20;&#x3d; 0.002) and <italic>SPP1</italic> expression (<italic>P</italic>&#x20;&#x3d; 0.045) were still relevant to worse prognosis. Furthermore, we investigated the relationship between <italic>SPP1</italic> expression and overall survival (OS) of cervical cancer patients. According to the KM plot, patients with higher <italic>SPP1</italic> mRNA expression showed poorer prognosis than the lower group (HR &#x3d; 1.69, 95% CI: 1.05&#x2013;2.72, <italic>P</italic>&#x20;&#x3d; 0.032) (<xref ref-type="fig" rid="F3">Figure&#x20;3</xref>). Thus, <italic>SPP1</italic> may become a promising prognostic biomarker for cervical cancer patients.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Univariate and multivariate Cox analyses of prognostic factors in cervical cancer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Characteristic</th>
<th rowspan="2" align="center">Total (N)</th>
<th colspan="2" align="center">Univariate analysis</th>
<th colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th align="center">Hazard ratio (95% CI)</th>
<th align="center">
<italic>p</italic> value</th>
<th align="center">Hazard ratio (95% CI)</th>
<th align="center">
<italic>p</italic> value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">T stage (T2 and T3 and T4 vs. T1)</td>
<td align="char" char=".">243</td>
<td align="center">1.906 (1.085&#x2013;3.348)</td>
<td align="center">
<bold>0.025</bold>
</td>
<td align="center">1.193 (0.419&#x2013;3.395)</td>
<td align="center">0.741</td>
</tr>
<tr>
<td align="left">N stage (N1 vs. N0)</td>
<td align="char" char=".">195</td>
<td align="center">2.844 (1.446&#x2013;5.593)</td>
<td align="center">
<bold>0.002</bold>
</td>
<td align="center">3.117 (1.517&#x2013;6.403)</td>
<td align="center">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td align="left">M stage (M1 vs. M0)</td>
<td align="char" char=".">127</td>
<td align="center">3.555 (1.187&#x2013;10.641)</td>
<td align="center">
<bold>0.023</bold>
</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">TP53 (high vs. low)</td>
<td align="char" char=".">306</td>
<td align="center">0.854 (0.537&#x2013;1.356)</td>
<td align="center">0.503</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Clinical stage (Stage II and Stage III and Stage IV vs. Stage I)</td>
<td align="char" char=".">299</td>
<td align="center">1.462 (0.920&#x2013;2.324)</td>
<td align="center">0.108</td>
<td align="center">0.464 (0.160&#x2013;1.345)</td>
<td align="center">0.157</td>
</tr>
<tr>
<td align="left">Radiation therapy (yes vs. no)</td>
<td align="char" char=".">306</td>
<td align="center">1.172 (0.694&#x2013;1.981)</td>
<td align="center">0.553</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Race (Black or African American and White vs. Asian)</td>
<td align="char" char=".">261</td>
<td align="center">1.537 (0.374&#x2013;6.317)</td>
<td align="center">0.552</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Age (&#x3e;50 vs. &#x2264;50 years)</td>
<td align="char" char=".">306</td>
<td align="center">1.289 (0.810&#x2013;2.050)</td>
<td align="center">0.284</td>
<td align="center">0.658 (0.298&#x2013;1.452)</td>
<td align="center">0.299</td>
</tr>
<tr>
<td align="left">Histologic type (squamous cell carcinoma vs. adenosquamous)</td>
<td align="char" char=".">306</td>
<td align="center">1.033 (0.543&#x2013;1.969)</td>
<td align="center">0.920</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Histologic grade (G2 and G3 vs. G1)</td>
<td align="char" char=".">273</td>
<td align="center">1.212 (0.378&#x2013;3.882)</td>
<td align="center">0.746</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">SPP1 (high vs. low)</td>
<td align="char" char=".">306</td>
<td align="center">1.686 (1.046&#x2013;2.719)</td>
<td align="center">
<bold>0.032</bold>
</td>
<td align="center">2.207 (1.019&#x2013;4.777)</td>
<td align="center">
<bold>0.045</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The value in bold indicates that p is less than 0.05, which is meaningful.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Association between <italic>SPP1</italic> expression and OS in cervical cancer patients.</p>
</caption>
<graphic xlink:href="fgene-12-732822-g003.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>3.4 Correlation and <italic>SPP1</italic>-Related Gene Enrichment Analysis</title>
<p>In this study, we only considered physically binding protein interactions and obtained 50 experimental supported <italic>SPP1</italic>-binding proteins from the STRING network (<xref ref-type="fig" rid="F4">Figure&#x20;4</xref>). We downloaded data from TCGA database to further investigate the function of <italic>SPP1</italic> and search <italic>SPP1</italic> expression&#x2013;correlated genes for related pathway analysis. We obtained the top 100 most positively correlated genes with <italic>SPP1</italic> for GO and KEGG enrichment analysis by the &#x201c;clusterProfile&#x201d; R package. The GO analysis data showed that most of the genes were associated with neutrophil degranulation, neutrophil activation involved in immune response, neutrophil activation, and neutrophil-mediated immunity (<xref ref-type="fig" rid="F5">Figure&#x20;5A</xref>). The KEGG data suggested that the &#x201c;phagosome&#x201d; may be related to the carcinogenic mechanism of <italic>SPP1</italic> (<xref ref-type="fig" rid="F5">Figure&#x20;5B</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>
<italic>SPP1</italic>-binding proteins obtained by the STRING&#x20;tool.</p>
</caption>
<graphic xlink:href="fgene-12-732822-g004.tif"/>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Function and pathway enrichment analysis of <italic>SPP1</italic> in cervical cancer. <bold>(A)</bold> Significant Gene Ontology terms (including BP, MF, and CC) of the top 100 genes most positively associated with <italic>SPP1</italic>. <bold>(B)</bold> Significant KEGG pathway of the top 100 genes most positively associated with <italic>SPP1</italic>.</p>
</caption>
<graphic xlink:href="fgene-12-732822-g005.tif"/>
</fig>
</sec>
<sec id="s3-5">
<title>3.5 Relationship Between <italic>SPP1</italic> Expression and Immune Cell Infiltration</title>
<p>Through the previous enrichment analysis, we found that <italic>SPP1</italic> was mainly related to neutrophils and phagosomes. We hypothesized that there might be some relationship between <italic>SPP1</italic> and immune cells. Thus, we further assessed whether the <italic>SPP1</italic> expression level was associated with immune cell infiltration. We used ssGSEA from the R package with Spearman&#x2019;s r to investigate the potential association between the <italic>SPP1</italic> expression level and 24 types of immune cells. The result revealed that <italic>SPP1</italic> expression had significant correlation with iDC, macrophages, neutrophils, NK CD56 bright cells, Th1 cells, DC, pDC, mast cells, and Treg cells (<xref ref-type="fig" rid="F6">Figure&#x20;6</xref>). Further research showed that <italic>SPP1</italic> expression was positively correlated with infiltration levels of iDC (<xref ref-type="fig" rid="F7">Figure&#x20;7A</xref>) (<italic>r</italic>&#x20;&#x3d; 0.250, <italic>P</italic> <inline-formula id="inf3">
<mml:math id="m3">
<mml:mo>&#x3c;</mml:mo>
</mml:math>
</inline-formula> 0.001), macrophages (<xref ref-type="fig" rid="F7">Figure&#x20;7B</xref>) (<italic>r</italic>&#x20;&#x3d; 0.480, <italic>P</italic> <inline-formula id="inf4">
<mml:math id="m4">
<mml:mo>&#x3c;</mml:mo>
</mml:math>
</inline-formula> 0.001), neutrophils (<xref ref-type="fig" rid="F7">Figure&#x20;7C</xref>) (<italic>r</italic>&#x20;&#x3d; 0.180, <italic>P</italic>&#x20;&#x3d; 0.002), Th1 cells (<xref ref-type="fig" rid="F7">Figure&#x20;7E</xref>) (<italic>r</italic>&#x20;&#x3d; 0.160, <italic>P</italic>&#x20;&#x3d; 0.006), DC (<xref ref-type="fig" rid="F7">Figure&#x20;7F</xref>) (<italic>r</italic>&#x20;&#x3d; 0.150, <italic>P</italic>&#x20;&#x3d; 0.007), and Treg cells (<xref ref-type="fig" rid="F7">Figure&#x20;7I</xref>) (<italic>r</italic>&#x20;&#x3d; 0.110, <italic>P</italic>&#x20;&#x3d; 0.046). In contrast, <italic>SPP1</italic> expression was negatively correlated with that of NK CD56 bright cells (<xref ref-type="fig" rid="F7">Figure&#x20;7D</xref>) (<italic>r</italic>&#x20;&#x3d; &#x2212;0.170, <italic>P</italic>&#x20;&#x3d; 0.003), pDC (<xref ref-type="fig" rid="F7">Figure&#x20;7G</xref>) (<italic>r</italic>&#x20;&#x3d; &#x2212;0.130, <italic>P</italic>&#x20;&#x3d; 0.026) and mast cells (<xref ref-type="fig" rid="F7">Figure&#x20;7H</xref>) (<italic>r</italic>&#x20;&#x3d; &#x2212;0.130, <italic>P</italic>&#x20;&#x3d; 0.028). This prompted us to examine the relationship between the <italic>SPP1</italic> expression level and immune infiltration. Surprisingly, we found significant differences in infiltrating immune cell levels, including iDC, macrophages, neutrophils, NK CD56 bright cells, Th1 cells, DC, and pDC (<italic>P</italic> <inline-formula id="inf5">
<mml:math id="m5">
<mml:mo>&#x3c;</mml:mo>
</mml:math>
</inline-formula> 0.05), when <italic>SPP1</italic> expression was categorized into high and low groups (<xref ref-type="fig" rid="F8">Figures 8A&#x2013;G</xref>), while no significant difference in mast cells and Treg cells was noted (<xref ref-type="fig" rid="F8">Figures 8H,I</xref>). Finally, we assessed the impact of immune cell infiltration on clinical survival outcome of cervical cancer patients by TIMER (<ext-link ext-link-type="uri" xlink:href="http://timer.cistrome.org/">http://timer.cistrome.org/</ext-link>). We found that high levels of macrophages and DC cells were associated with poor prognosis of cervical cancer patients (<italic>P</italic> <inline-formula id="inf6">
<mml:math id="m6">
<mml:mo>&#x3c;</mml:mo>
</mml:math>
</inline-formula> 0.05) (<xref ref-type="fig" rid="F9">Figures&#x20;9A,B</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>
<bold>(A)</bold> Lollipop chart of <italic>SPP1</italic> expression level in 24 immune cells. <bold>(B)</bold> The immune cell infiltration associated with <italic>SPP1</italic> expression, P &#x003c; 0.05, represents a significant result.</p>
</caption>
<graphic xlink:href="fgene-12-732822-g006.tif"/>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Correlation between <italic>SPP1</italic> expression and immune cell infiltration. <bold>(A&#x2013;I)</bold> Correlation between <italic>SPP1</italic> expression and iDC, macrophages, neutrophils, NK CD56 bright cells, Th1 cells, DC, pDC, mast cells, and Treg&#x20;cells.</p>
</caption>
<graphic xlink:href="fgene-12-732822-g007.tif"/>
</fig>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Comparison of immune cells between high&#x2013; and low&#x2013;<italic>SPP1</italic> expression groups. <bold>(A&#x2013;I)</bold> Histogram showing the difference of iDC, macrophages, neutrophils, NK CD56 bright cells, Th1 cells, DC, pDC, mast cells, and Treg cell infiltration level between high&#x2013;and low&#x2013;<italic>SPP1</italic> expression groups.</p>
</caption>
<graphic xlink:href="fgene-12-732822-g008.tif"/>
</fig>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Impact of immune cell infiltration on prognosis in cervical cancer patients. <bold>(A)</bold> Clinical survival outcome of cervical cancer patients in the high-macrophage group. <bold>(B)</bold> Clinical survival outcome of cervical cancer patients in the high&#x2013;DC cell&#x20;group.</p>
</caption>
<graphic xlink:href="fgene-12-732822-g009.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>4 Discussion</title>
<p>Invasive cervical cancer remains the leading cause of cancer death among women worldwide (<xref ref-type="bibr" rid="B18">Shen et&#x20;al. (2020)</xref>). Thus, it is necessary to find more accurate biomarkers to detect at an early stage and monitor disease progression. According to the previous studies, <italic>SPP1</italic> is overexpressed in various cancer types (<xref ref-type="bibr" rid="B27">Xu et&#x20;al. (2017)</xref>; <xref ref-type="bibr" rid="B4">Choe et&#x20;al. (2018)</xref>; <xref ref-type="bibr" rid="B30">Zhang et&#x20;al. (2020)</xref>) and identified as a prognostic factor (<xref ref-type="bibr" rid="B10">Li et&#x20;al. (2018)</xref>; <xref ref-type="bibr" rid="B2">Chen J et&#x20;al. (2019)</xref>; <xref ref-type="bibr" rid="B7">Guo et&#x20;al. (2020)</xref>), while to our knowledge, no study has explored the relationship of <italic>SPP1</italic> expression and cervical cancer. In our study, we attempted to explore the potential mechanism of <italic>SPP1</italic> in promoting cervical cancer and its feasibility as a molecular biomarker.</p>
<p>In pan-cancer analysis, we found that <italic>SPP1</italic> was upregulated in most cancer types. Further exploration revealed that higher <italic>SPP1</italic> expression was associated with reduced overall survival (OS) in cervical cancer patients. We performed logistic regression to evaluate the relationship between the <italic>SPP1</italic> expression level and the clinicopathologic characteristics of cervical cancer. The result showed that <italic>SPP1</italic> was significantly correlated with clinical stages. In addition, univariate and multivariate Cox analyses indicated that <italic>SPP1</italic> was an independent factor to predict prognosis of patients. All these aforementioned results and ROC analysis suggest that <italic>SPP1</italic> may be a promising prognostic biomarker for cervical cancer patients.</p>
<p>The tumor microenvironment (TME), composed of various types of immune cells, played an important role in tumor progression, metastasis, and treatment resistance (<xref ref-type="bibr" rid="B22">Usui et&#x20;al. (2016)</xref>). The composition of tumor-infiltrating immune cells strongly influenced the tumor microenvironment and the behavior of the tumor. Our gene enrichment analysis revealed that the main biological function of <italic>SPP1</italic> was mainly involved in immune response. We next confirmed that <italic>SPP1</italic> expression correlated with immune cell infiltration. Hence, we hypothesized that <italic>SPP1</italic> may affect the tumor microenvironment by changing proportions of specific immune cell types, thereby promoting tumor progression and metastasis. It was, indeed, the case that <italic>SPP1</italic> had recently been shown to be an important component in maintaining the tumor microenvironment in AML (<xref ref-type="bibr" rid="B17">Ruvolo et&#x20;al. (2019)</xref>). Our research demonstrated the significant positive correlation between macrophages and the expression of <italic>SPP1</italic>. Macrophages are important components of the tumor microenvironment, and tumor-associated macrophages play complex roles in cancer pathophysiology (<xref ref-type="bibr" rid="B6">Gibson et&#x20;al. (2019)</xref>). A previous study found that <italic>SPP1</italic> was involved in the function, migration, and differentiation of macrophages (<xref ref-type="bibr" rid="B29">Zhang et&#x20;al. (2017)</xref>; <xref ref-type="bibr" rid="B26">Wei et&#x20;al. (2019)</xref>; <xref ref-type="bibr" rid="B8">Jaitin et&#x20;al. (2019)</xref>; <xref ref-type="bibr" rid="B20">Srirussamee et&#x20;al. (2019)</xref>). A recent study also showed that <italic>SPP1</italic> was essential for M2-like macrophage, the tumor-associated macrophage, and promoted tumor growth (<xref ref-type="bibr" rid="B3">Chen P et&#x20;al. (2019)</xref>). Furthermore, we found that the increased level of macrophages and DC infiltration were correlated with poor prognosis. Our results were supported by the findings of similar studies about this topic (<xref ref-type="bibr" rid="B12">Long et&#x20;al. (2016)</xref>; <xref ref-type="bibr" rid="B14">Ndiaye et&#x20;al. (2019)</xref>). Certainly, the tumor microenvironment had a high level of complexity in its regulation; other immune cell types in the tumor microenvironment may also influence tumor cell survival, including iDC, neutrophils, NK CD56 bright cells, Th1 cells, DC, and pDC. Future studies were needed to further explore the relationship between <italic>SPP1</italic> expression and these&#x20;cells.</p>
<p>In conclusion, we demonstrated that <italic>SPP1</italic> expression was upregulated in cervical cancer and significantly related to poor survival outcome. In addition to this, <italic>SPP1</italic> might participate in the occurrence and development of cervical cancer by influencing the infiltration level of immune cells. Therefore, our study revealed the role of <italic>SPP1</italic> in cervical cancer and identified a promising prognostic biomarker.</p>
<p>Although our study is the first work to explore the relationship between <italic>SPP1</italic> expression and cervical cancer, it also has some limitations. First, all of the data analyzed by bioinformatics methods in this study were downloaded directly from public databases, so it requires further validation by experimental investigations; second, the number of normal samples used as controls was considerably different from that of patients with tumor in the TCGA database; therefore, further studies based on an equal balance of sample size are necessary. Third, further validation studies with a long-term follow-up and larger cohorts of patients are needed to definitely validate <italic>SPP1</italic> as an OS predictor. Last but not least, our study laid the foundation for detailed studies of the correlation between <italic>SPP1</italic> and the tumor-associated immune microenvironment. However, more studies are required to explore the hypothesis in&#x20;depth.</p>
</sec>
<sec id="s5">
<title>Statement</title>
<p>The cervical cancer cell lines (Siha and Hela) present in this study were obtained from the Scientific Research Center of Zhongnan Hospital of Wuhan University. And normal cervical epithelial cell (END1) was donated by Wuhan University Basic Medical College.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>Publicly available datasets were analyzed in this study. These data can be found freely from TCGA data portal (<ext-link ext-link-type="uri" xlink:href="https://portal.gdc.cancer.gov/">https://portal.gdc.cancer.gov/</ext-link>) and GEO database (<ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/geo/">https://www.ncbi.nlm.nih.gov/geo/</ext-link>).</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>KZ and WZ contributed to the study conception and design. Material preparation, data collection, and analysis were performed by KZ and ZM. KZ contributed to the literature search. The first draft of the manuscript was written by KZ, and all authors commented on previous versions of the manuscript. WZ reviewed the article and gave suggestions on the revision of the article. All authors read and approved the final manuscript.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>Our research was supported by the project of improving the ability of diagnosis and treatment of difficult diseases in Zhongnan Hospital of Wuhan University. The project number is ZLYNXM202019.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
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<sec id="s11">
<title>Glossary</title>
<def-list>
<def-item>
<term id="G1-fgene.2021.732822">
<bold>aDC</bold>
</term>
<def>
<p>activated&#x20;DC</p>
</def>
</def-item>
<def-item>
<term id="G2-fgene.2021.732822">
<bold>ACC</bold>
</term>
<def>
<p>adrenocortical carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G3-fgene.2021.732822">
<bold>BLCA</bold>
</term>
<def>
<p>bladder urothelial carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G4-fgene.2021.732822">
<bold>BRCA</bold>
</term>
<def>
<p>breast invasive carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G5-fgene.2021.732822">
<bold>CESC</bold>
</term>
<def>
<p>cervical squamous cell carcinoma and endocervical adenocarcinoma</p>
</def>
</def-item>
<def-item>
<term id="G6-fgene.2021.732822">
<bold>CHOL</bold>
</term>
<def>
<p>cholangiocarcinoma</p>
</def>
</def-item>
<def-item>
<term id="G7-fgene.2021.732822">
<bold>COAD</bold>
</term>
<def>
<p>colon adenocarcinoma</p>
</def>
</def-item>
<def-item>
<term id="G8-fgene.2021.732822">
<bold>DLBC</bold>
</term>
<def>
<p>lymphoid neoplasm diffuse large B-cell lymphoma</p>
</def>
</def-item>
<def-item>
<term id="G9-fgene.2021.732822">
<bold>ESCA</bold>
</term>
<def>
<p>esophageal carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G10-fgene.2021.732822">
<bold>GBM</bold>
</term>
<def>
<p>glioblastoma multiforme</p>
</def>
</def-item>
<def-item>
<term id="G11-fgene.2021.732822">
<bold>GEO</bold>
</term>
<def>
<p>Gene Expression Omnibus</p>
</def>
</def-item>
<def-item>
<term id="G12-fgene.2021.732822">
<bold>GO</bold>
</term>
<def>
<p>Gene Ontology</p>
</def>
</def-item>
<def-item>
<term id="G13-fgene.2021.732822">
<bold>HNSC</bold>
</term>
<def>
<p>head and neck squamous cell carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G14-fgene.2021.732822">
<bold>iDC</bold>
</term>
<def>
<p>immature DC</p>
</def>
</def-item>
<def-item>
<term id="G15-fgene.2021.732822">
<bold>KICH</bold>
</term>
<def>
<p>kidney chromophobe</p>
</def>
</def-item>
<def-item>
<term id="G16-fgene.2021.732822">
<bold>KIRC</bold>
</term>
<def>
<p>kidney renal clear cell carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G17-fgene.2021.732822">
<bold>KIRP</bold>
</term>
<def>
<p>kidney renal papillary cell carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G18-fgene.2021.732822">
<bold>KEGG</bold>
</term>
<def>
<p>Kyoto Encyclopedia of Genes and Genomes</p>
</def>
</def-item>
<def-item>
<term id="G19-fgene.2021.732822">
<bold>LAML</bold>
</term>
<def>
<p>acute myeloid leukemia</p>
</def>
</def-item>
<def-item>
<term id="G20-fgene.2021.732822">
<bold>LGG</bold>
</term>
<def>
<p>lower grade glioma</p>
</def>
</def-item>
<def-item>
<term id="G21-fgene.2021.732822">
<bold>LIHC</bold>
</term>
<def>
<p>liver hepatocellular carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G22-fgene.2021.732822">
<bold>LUAD</bold>
</term>
<def>
<p>lung adenocarcinoma</p>
</def>
</def-item>
<def-item>
<term id="G23-fgene.2021.732822">
<bold>LUSC</bold>
</term>
<def>
<p>lung squamous cell carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G24-fgene.2021.732822">
<bold>OS</bold>
</term>
<def>
<p>overall survival</p>
</def>
</def-item>
<def-item>
<term id="G25-fgene.2021.732822">
<bold>OV</bold>
</term>
<def>
<p>ovarian serous cystadenocarcinoma</p>
</def>
</def-item>
<def-item>
<term id="G26-fgene.2021.732822">
<bold>pDC</bold>
</term>
<def>
<p>plasmacytoid DC</p>
</def>
</def-item>
<def-item>
<term id="G27-fgene.2021.732822">
<bold>PAAD</bold>
</term>
<def>
<p>pancreatic adenocarcinoma</p>
</def>
</def-item>
<def-item>
<term id="G28-fgene.2021.732822">
<bold>PRAD</bold>
</term>
<def>
<p>prostate adenocarcinoma</p>
</def>
</def-item>
<def-item>
<term id="G29-fgene.2021.732822">
<bold>READ</bold>
</term>
<def>
<p>rectum adenocarcinoma</p>
</def>
</def-item>
<def-item>
<term id="G30-fgene.2021.732822">
<bold>SKCM</bold>
</term>
<def>
<p>skin cutaneous melanoma</p>
</def>
</def-item>
<def-item>
<term id="G31-fgene.2021.732822">
<bold>STAD</bold>
</term>
<def>
<p>stomach adenocarcinoma</p>
</def>
</def-item>
<def-item>
<term id="G32-fgene.2021.732822">
<bold>SPP1</bold>
</term>
<def>
<p>secreted phosphoprotein 1</p>
</def>
</def-item>
<def-item>
<term id="G33-fgene.2021.732822">
<bold>Tcm</bold>
</term>
<def>
<p>T central memory</p>
</def>
</def-item>
<def-item>
<term id="G34-fgene.2021.732822">
<bold>Tem</bold>
</term>
<def>
<p>T effector memory</p>
</def>
</def-item>
<def-item>
<term id="G35-fgene.2021.732822">
<bold>Tfh</bold>
</term>
<def>
<p>T follicular helper</p>
</def>
</def-item>
<def-item>
<term id="G36-fgene.2021.732822">
<bold>Tgd</bold>
</term>
<def>
<p>T gamma&#x20;delta.</p>
</def>
</def-item>
<def-item>
<term id="G37-fgene.2021.732822">
<bold>TCGA</bold>
</term>
<def>
<p>The Cancer Genome Atlas</p>
</def>
</def-item>
<def-item>
<term id="G38-fgene.2021.732822">
<bold>TGCT</bold>
</term>
<def>
<p>testicular germ cell&#x20;tumor</p>
</def>
</def-item>
<def-item>
<term id="G39-fgene.2021.732822">
<bold>THCA</bold>
</term>
<def>
<p>thyroid carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G40-fgene.2021.732822">
<bold>THYM</bold>
</term>
<def>
<p>thymoma</p>
</def>
</def-item>
<def-item>
<term id="G41-fgene.2021.732822">
<bold>UCEC</bold>
</term>
<def>
<p>uterine corpus endometrial carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G42-fgene.2021.732822">
<bold>UCS</bold>
</term>
<def>
<p>uterine carcinosarcoma</p>
</def>
</def-item>
</def-list>
</sec>
</back>
</article>