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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1064032</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2022.1064032</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Pan-cancer analysis identifies NT5E as a novel prognostic biomarker on cancer-associated fibroblasts associated with unique tumor microenvironment</article-title>
<alt-title alt-title-type="left-running-head">Xue et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2022.1064032">10.3389/fphar.2022.1064032</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Xue</surname>
<given-names>Xin-miao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1881519/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Yu-yang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1588981/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xue-min</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/931588/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tao</surname>
<given-names>Bing-yan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1612239/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Peng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1045274/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Han-wen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Chi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2093083/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2043576/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Yu-ke</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2081575/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ding</surname>
<given-names>Zhi-wei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2076563/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shen</surname>
<given-names>Wei-dong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Shi-ming</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/485723/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Fang-yuan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Medical School of Chinese People&#x2019;s Liberation Army (PLA)</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Senior Department of Otolaryngology-Head &#x26; Neck Surgery</institution>, <institution>Chinese People&#x2019;s Liberation Army (PLA) General Hospital</institution>, <institution>National Clinical Research Center for Otolaryngologic Diseases</institution>, <institution>State Key Lab of Hearing Science</institution>, <institution>Beijing Key Lab of Hearing Impairment Prevention and Treatment</institution>, <institution>Ministry of Education</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Neurosurgery</institution>, <institution>Chinese People&#x2019;s Liberation Army (PLA) General Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>The Zhantansi Outpatient Department of Central Medical Branch of People&#x2019;s Liberation Army (PLA) General Hospital Beijing</institution>, <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/1814274/overview">Qianming Du</ext-link>, Nanjing Medical University, China</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/1906186/overview">Jing Ji</ext-link>, Jiangsu Ocean Universiity, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/729697/overview">Liang Ding</ext-link>, Nanjing University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2063966/overview">Bin Dong</ext-link>, China Pharmaceutical University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Jun Zhang, <email>junzhang301@163.com</email>; Shi-ming Yang, <email>shm_yang@163.com</email>; Fang-yuan Wang, <email>fangyuanwang05@163.com</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Pharmacology of Anti-Cancer Drugs, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>1064032</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>11</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Xue, Liu, Chen, Tao, Liu, Zhou, Zhang, Wang, Jiang, Ding, Shen, Zhang, Yang and Wang.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Xue, Liu, Chen, Tao, Liu, Zhou, Zhang, Wang, Jiang, Ding, Shen, Zhang, Yang and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Background:</bold> Ecto-5&#x2032;-nucleotidase (NT5E) encodes the cluster of differentiation 73 (CD73), whose overexpression contributes to the formation of immunosuppressive tumor microenvironment and is related to exacerbated prognosis, increased risk of metastasis and resistance to immunotherapy of various tumors. However, the prognostic significance of NT5E in pan-cancer is obscure so far.</p>
<p>
<bold>Methods:</bold> We explored the expression level of NT5E in cancers and adjacent tissues and revealed the relationship between the NT5E expression level and clinical outcomes in pan-cancer by utilizing the UCSC Xena database. Then, correlation analyses were performed to evaluate the relationship between NT5E expression and immune infiltration level <italic>via</italic> EPIC, MCP-counter and CIBERSORT methods, and the enrichment analysis were employed to identify NT5E-interacting molecules and functional pathways. Furthermore, we conducted single-cell analysis to explore the potential role of NT5E on single-cell level based on the CancerSEA database. Meanwhile, gene set enrichment analysis (GSEA) in single-cell level was also conducted in TISCH database and single-cell signature explorer was utilized to evaluate the epithelial-mesenchymal transition (EMT) level in each cell type.</p>
<p>
<bold>Results:</bold> The expression level of NT5E was aberrant in almost all cancer types, and was correlated with worse prognosis in several cancers. Notably, NT5E overexpression was related to worse overall survival (OS) in pancreatic adenocarcinoma (PAAD), head and neck squamous cell carcinoma (HNSC), mesothelioma (MESO), stomach adenocarcinoma (STAD), uveal melanoma (UVM) and cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) (<italic>p</italic> &#x3c; 0.01). NT5E-related immune microenvironment analysis revealed that NT5E is associated positively with the degree of infiltration of cancer-associated fibroblasts (CAFs) and endothelial cells in most cancers. Enrichment analysis of cellular component (CC) demonstrated the critical part of NT5E played in cell-substrate junction, cell-substrate adherens junction, focal adhesion and external side of plasma membrane. Finally, single-cell analysis of NT5E illuminated that EMT function of CAFs was elevated in basal cell carcinoma (BCC), skin cutaneous melanoma (SKCM), HNSC and PAAD.</p>
<p>
<bold>Conclusion:</bold> NT5E could serve as a potential prognostic biomarker for cancers. The potential mechanism may be related to the upregulated EMT function of CAFs, which provides novel inspiration for immunotherapy by targeting CAFs with high NT5E expression.</p>
</abstract>
<kwd-group>
<kwd>NT5E</kwd>
<kwd>CD73</kwd>
<kwd>pan-cancer analysis</kwd>
<kwd>cancer-associated fibroblast</kwd>
<kwd>immunotherapy</kwd>
<kwd>epithelial-mesenchymal transition</kwd>
</kwd-group>
<contract-num rid="cn001">2019YFC0121302 2019YFC0840707</contract-num>
<contract-num rid="cn002">Z201100006820133</contract-num>
<contract-sponsor id="cn001">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Beijing Nova Program<named-content content-type="fundref-id">10.13039/501100005090</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Highlights</title>
<p>
<list list-type="simple">
<list-item>
<p>1) NT5E could serve as an efficient prognostic biomarker in pan-cancer.</p>
</list-item>
<list-item>
<p>2) NT5E expression is positively related to cancer-associated fibroblasts (CAFs) and endothelial cells infiltration in pan-cancer.</p>
</list-item>
<list-item>
<p>3) NT5E is highly expressed in the endothelia cells and CAFs in pan-cancer.</p>
</list-item>
<list-item>
<p>4) CAFs may play an important role in epithelial-mesenchymal transition (EMT) of various tumor species, which may be a novel target for immunotherapy.</p>
</list-item>
</list>
</p>
</sec>
<sec id="s2">
<title>1 Introduction</title>
<p>Ecto-5&#x2032;-nucleotidase (NT5E), namely cluster of differentiation 73 (CD73), is a glycosylphosphatidylinositol-anchored cell surface protein. Encoded by the NT5E gene, CD73 is widely distributed in the human body, including the central nervous system, cardiovascular system, and epithelial tissues (<xref ref-type="bibr" rid="B84">Thompson et al., 2004</xref>; <xref ref-type="bibr" rid="B98">Zimmermann et al., 2012</xref>; <xref ref-type="bibr" rid="B38">Jeong et al., 2020</xref>). Structurally, NT5E consists of three domains, including a glycosylated N-terminal domain and a C-terminal domain, which are responsible for metal binding and the catalytic function respectively, and an alpha helix connecting the aforementioned two domains (<xref ref-type="bibr" rid="B15">Buschette-Brambrink and Gutensohn, 1989</xref>; <xref ref-type="bibr" rid="B22">Fini et al., 2003</xref>). Functionally, NT5E possesses nucleosidase activity (<xref ref-type="bibr" rid="B80">Str&#xe4;ter, 2006</xref>), and could hydrolyze extracellular adenosine monophosphate (AMP) into adenosine (<xref ref-type="bibr" rid="B46">Kordas et al., 2018</xref>). Extracellular adenosine plays an important role in modulating inflammation regulation and tumor immunity (<xref ref-type="bibr" rid="B7">Antonioli et al., 2013</xref>; <xref ref-type="bibr" rid="B6">Allard et al., 2017a</xref>; <xref ref-type="bibr" rid="B46">Kordas et al., 2018</xref>; <xref ref-type="bibr" rid="B12">Boison and Yegutkin, 2019</xref>), where A<sub>2A</sub> receptor (A<sub>2A</sub>R)-mediated signaling pathway matters most (<xref ref-type="bibr" rid="B18">Colella et al., 2018</xref>). Adenosine can activate the immune suppressive effects, which is characterized by the inhibition of chemotaxis and proliferation function among T cells (<xref ref-type="bibr" rid="B76">Sitkovsky et al., 2004</xref>; <xref ref-type="bibr" rid="B5">Allard et al., 2014</xref>). Meanwhile, it has been demonstrated that adenosine promotes angiogenesis and inhibits the release of cytokines and the expression of adhesion molecules such as E-selectin (<xref ref-type="bibr" rid="B13">Bouma et al., 1996</xref>; <xref ref-type="bibr" rid="B78">Spychala, 2000</xref>), hinting that NT5E may be related to cell adhesion function (<xref ref-type="bibr" rid="B33">Henttinen et al., 2003</xref>). Furthermore, it has also been proved that NT5E could influence cell adhesion and migration performance by the molecular mechanism of tenascin C, one of the important factors among extracellular matrix (ECM) (<xref ref-type="bibr" rid="B70">Sadej and Skladanowski, 2012</xref>). Therefore, NT5E could promote tumor growth not only by accumulating adenosine to inhibit the antitumoral immune responses, but also by facilitating dissemination of cancer cells (<xref ref-type="bibr" rid="B46">Kordas et al., 2018</xref>).</p>
<p>According to previous studies, NT5E has been detected among various tumor entities, including melanoma (<xref ref-type="bibr" rid="B71">Sadej et al., 2006a</xref>; <xref ref-type="bibr" rid="B72">Sadej et al., 2006b</xref>; <xref ref-type="bibr" rid="B86">Wang et al., 2012</xref>), triple-negative breast cancer (<xref ref-type="bibr" rid="B5">Allard et al., 2014</xref>; <xref ref-type="bibr" rid="B14">Buisseret et al., 2018</xref>), colorectal cancer (<xref ref-type="bibr" rid="B49">Liu et al., 2012</xref>), and non-small cell lung cancer (<xref ref-type="bibr" rid="B36">Inoue et al., 2017</xref>). Furthermore, it is not only expressed on malignant cells, but also on several immune cells such as regulatory T cells (Tregs) (<xref ref-type="bibr" rid="B1">Alam et al., 2009</xref>), myeloid-derived suppressor cells (MDSCs) (<xref ref-type="bibr" rid="B69">Ryzhov et al., 2011</xref>), dendritic cells (DCs) (<xref ref-type="bibr" rid="B10">Berchtold et al., 1999</xref>) and natural killer (NK) cells (<xref ref-type="bibr" rid="B56">Neo et al., 2020</xref>), which could result in more obvious accumulation of immunosuppressive adenosine and lead to the downregulation of the T cell immune responses (<xref ref-type="bibr" rid="B73">Saldanha-Araujo et al., 2011</xref>), and it has been illustrated that NT5E<sup>&#x2b;</sup> NK cells could inhibit T cell activity by upregulating interleukin-10 (IL-10) and transforming growth factor-&#x3b2; (TGF-&#x3b2;) production (<xref ref-type="bibr" rid="B56">Neo et al., 2020</xref>). Moreover, adenosinergic A<sub>2A</sub>R were also expressed on DCs, MDSCs, NK cells, and macrophages, indicating that the function of these regulatory immune cells could also be inhibited by adenosine (<xref ref-type="bibr" rid="B3">Allard et al., 2016</xref>; <xref ref-type="bibr" rid="B40">Kalekar et al., 2016</xref>; <xref ref-type="bibr" rid="B93">Young et al., 2016</xref>; <xref ref-type="bibr" rid="B39">Kalekar and Mueller, 2017</xref>).</p>
<p>It has been illustrated that adenosine triphosphate (ATP) concentration is about hundreds of thousands of times higher in the tumor microenvironment (TME) than the non-tumoral extracellular tissues (<xref ref-type="bibr" rid="B99">Zimmermann, 2000</xref>; <xref ref-type="bibr" rid="B63">Pellegatti et al., 2008</xref>). ATP is hydrolyzed to AMP, and lastly to adenosine by plasma membrane nucleotidases. According to previous studies, adenosine-mediated immunosuppression is a crucial part in the TME (<xref ref-type="bibr" rid="B48">Leone and Emens, 2018</xref>), which was constructed by vascular endothelial cells, fibroblast cells, and many types of innate and adaptive immune cells, together with ECM as well as multiple extracellular soluble molecules (cytokines, chemotactic factor, growth factors, etc.) (<xref ref-type="bibr" rid="B11">Binnewies et al., 2018</xref>). Furthermore, TME complexity is an important part in the differentiation of cold tumors and hot tumors. The feature of hot tumors is a high T cell infiltration level and abundant immune active molecular signatures, while cold tumors show distinctive characteristic of T cell absence (<xref ref-type="bibr" rid="B24">Gajewski, 2015</xref>). Thus, the immunosuppressive environment of cold tumors exhibited resistant to numerous immune checkpoint blockade therapies (<xref ref-type="bibr" rid="B68">Quail and Joyce, 2017</xref>).</p>
<p>There are several components correlated with the maintenance of an immunosuppressive environment, including some molecules like TGF-&#x3b2;, epidermal growth factor (EGF) and adenosine (<xref ref-type="bibr" rid="B87">Wei et al., 2022</xref>), and several immunosuppressive cells, including Tregs, tumor-associated macrophages (TAMs), endothelial cells, and cancer-associated fibroblasts (CAFs) (<xref ref-type="bibr" rid="B97">Zhu et al., 2022</xref>). In particular, CAFs may correlate with the enhancement of tumor phenotypes by regulating cancer cell proliferation and invasion and ECM remodeling (<xref ref-type="bibr" rid="B20">Costa et al., 2014</xref>; <xref ref-type="bibr" rid="B26">Gascard and Tlsty, 2016</xref>; <xref ref-type="bibr" rid="B28">Gentric et al., 2017</xref>). It has been validated that CAFs could secrete a vast amount of cytokines, including hepatocyte growth factor, EGF, connective tissue growth factor, insulin&#x2010;like growth factor. All these cytokines could function directly on the surrounding cells and facilitate ECM reprogramming. Meanwhile, CAFs also secrete extracellular vesicles, metabolites, ECM components and ECM&#x2010;remodeling enzymes (<xref ref-type="bibr" rid="B37">Jacob et al., 2012</xref>). Consequently, CAFs were considered to play a long-term role in the tumor development from tumorigenesis to cancer metastasis (<xref ref-type="bibr" rid="B17">Cirri and Chiarugi, 2011</xref>; <xref ref-type="bibr" rid="B53">Marsh et al., 2013</xref>; <xref ref-type="bibr" rid="B41">Kalluri, 2016</xref>).</p>
<p>In our previous study, we have concluded that NT5E could serve as an independent prognostic indicator for head and neck squamous cell carcinoma (HNSC) (<xref ref-type="bibr" rid="B16">Chen et al., 2022</xref>). Similarly, in pancreas, prostate and bladder cancer, NT5E has also been validated to correlate with tumor development and invasion (<xref ref-type="bibr" rid="B92">Yang et al., 2013</xref>; <xref ref-type="bibr" rid="B52">Mandapathil et al., 2018</xref>; <xref ref-type="bibr" rid="B44">Koivisto et al., 2019</xref>; <xref ref-type="bibr" rid="B96">Zhou et al., 2019</xref>; <xref ref-type="bibr" rid="B16">Chen et al., 2022</xref>). In detail, for gastric cancer patients, CD73 may serve as a regulator in RICS/RhoA-LIMK-cofilin signaling pathway by its extracellular function in adenosinergic pathway, and then promote &#x3b2;-catenin-induced epithelial-mesenchymal transition (EMT) process, which is correlated with metastasis property of tumor cells (<xref ref-type="bibr" rid="B91">Xu et al., 2020</xref>; <xref ref-type="bibr" rid="B32">Goulioumis and Gyftopoulos, 2022</xref>). In our study, the enrichment analyses also indicated that NT5E may be related to EMT and metastasis during HNSC progression. Furthermore, HNSC-related immune infiltration analysis and single-cell type analysis revealed that NT5E expression was positively related to CAFs infiltration in HNSC (<xref ref-type="bibr" rid="B16">Chen et al., 2022</xref>), which is in line with the previous conclusion that NT5E expression is related to tumor migration and invasion (<xref ref-type="bibr" rid="B20">Costa et al., 2014</xref>).</p>
<p>Although there is abundant evidence indicating that the expression level of NT5E is related to clinical outcomes and the prognosis in certain tumors, several questions still remain suspension, including the expression landscape of NT5E among various tumor types, the certain cell types expressing NT5E, and the potential signal pathways consisting NT5E in tumor growth and metastasis. To the best of our knowledge, the pan-cancer analysis of NT5E is still a virgin land. Thus, in this study, we performed NT5E expression analysis and prognosis analysis in pan-cancer, and explored the potential role of NT5E in the TME and the EMT function of CAFs, so as to provide novel clues for immunotherapy against malignant tumors.</p>
</sec>
<sec sec-type="materials|methods" id="s3">
<title>2 Materials and methods</title>
<sec id="s3-1">
<title>2.1 Dataset acquisition and normalization</title>
<p>The data of mRNA expression profile and clinical outcomes of patients (TCGA pan-cancer cohort) or normal tissues (GTEx database) were acquired from the UCSC Xena database (<ext-link ext-link-type="uri" xlink:href="https://xenabrowser.net/datapages/">https://xenabrowser.net/datapages/</ext-link>). By applying the transcripts per million (TPM) method, we normalized the raw data. Then we employed log2 (TPM&#x2b;1) transformation for the subsequent analyses. The information of genomic alteration frequency about NT5E in the 33 cancer types were acquired from the cBioPortal database (<ext-link ext-link-type="uri" xlink:href="http://cbioportal.org">http://cbioportal.org</ext-link>).</p>
</sec>
<sec id="s3-2">
<title>2.2 NT5E expression analysis</title>
<p>Based on the mRNA expression profile obtained from UCSC Xena database, the NT5E expression level was compared between tumors and corresponding normal tissues. Totally, 31 types of tumors were included in this analysis, except for mesothelioma (MESO) and uveal melanoma (UVM), because of unavailability of corresponding normal tissues data. Besides, NT5E expression in patients stratified by different characteristics were also compared. The R software (Version 3.6.3) was used for statistical analysis with &#x201c;ggplot2&#x201d; package adopted for visualization. Moreover, the representative NT5E immunohistochemistry (IHC) staining pictures were retrieved from the Human Protein Atlas (HPA) on line database (<ext-link ext-link-type="uri" xlink:href="http://www.proteinatlas.org">http://www.proteinatlas.org</ext-link>).</p>
</sec>
<sec id="s3-3">
<title>2.3 Single-cell analysis of NT5E</title>
<p>To uncover the potential role of NT5E on single-cell level, we used the CancerSEA database (<ext-link ext-link-type="uri" xlink:href="http://biocc.hrbmu.edu.cn/CancerSEA/home.jsp">http://biocc.hrbmu.edu.cn/CancerSEA/home.jsp</ext-link>) to reveal the relationship between NT5E expression level and 14 function status in distinct cancers. Moreover, the Tumor Immune Single-cell Hub (TISCH) database (<ext-link ext-link-type="uri" xlink:href="http://tisch.comp-genomics.org/home/">http://tisch.comp-genomics.org/home/</ext-link>) were employed to quantify the expression level of NT5E in different cell type. Gene set enrichment analysis (GSEA) in single-cell level was also conducted in TISCH database. Up-regulated hallmark gene-sets were visualized in the heatmap. Meanwhile, we used single-cell signature explorer to evaluate the level epithelial mesenchymal transition in each cell type.</p>
</sec>
<sec id="s3-4">
<title>2.4 Prognostic value of NT5E in pan-cancer</title>
<p>The prognosis information including overall survival (OS), disease-specific survival (DSS), disease-free interval (DFI) and progression-free interval (PFI) was obtained from the UCSC Xena database (<ext-link ext-link-type="uri" xlink:href="https://xenabrowser.net/datapages/">https://xenabrowser.net/datapages/</ext-link>). The continuous variable of NT5E expression profile was utilized in the univariate Cox regression analysis. Meanwhile, the Kaplan&#x2013;Meier curve was also used to evaluate the prognostic value of NT5E, and the cut-off point with the minimum <italic>p</italic>-value was selected for further analysis. The &#x201c;survival&#x201d; package was applied for statistical analysis, and the &#x201c;survminer&#x201d; package was used for visualization.</p>
</sec>
<sec id="s3-5">
<title>2.5 NT5E-related immune microenvironment analysis</title>
<p>For NT5E-related immune infiltration analysis, three methods (EPIC, MCP-counter, and CIBERSORT) were selected for further analysis. Correlation analyses were utilized to estimate the relationship between NT5E expression and immune infiltration level. All these immune infiltration levels of each sample were directly acquired from the TIMER2.0 database (<ext-link ext-link-type="uri" xlink:href="http://timer.comp-genomics.org/">http://timer.comp-genomics.org/</ext-link>). The heatmap constructed by the &#x201c;ggplot2&#x201d; R package was used for results visualization.</p>
</sec>
<sec id="s3-6">
<title>2.6 Identification of NT5E related molecules and functional enrichment</title>
<p>The top 50 NT5E-associated proteins were obtained <italic>via</italic> STRING database (<ext-link ext-link-type="uri" xlink:href="https://cn.string-db.org/">https://cn.string-db.org/</ext-link>). Briefly, the parameters were selected as follows: evidence is selected for meaning network edges, all options were included for active interaction sources, and the medium confidence was chosen at 0.4 for minimum required interaction score. The Cytoscape software (Version 3.9.1) was utilized for visualization. Additionally, an NT5E-related gene-gene interaction (GGI) network was constructed using the GeneMANIA database (<ext-link ext-link-type="uri" xlink:href="http://www.genemania.org">http://www.genemania.org</ext-link>), and the top 20 genes most closely to NT5E were involved in GGI. Besides, the top 100 co-expressed genes of NT5E were obtained from the COXPRESdb (<xref ref-type="bibr" rid="B57">Obayashi et al., 2019</xref>) (<ext-link ext-link-type="uri" xlink:href="https://coxpresdb.jp/">https://coxpresdb.jp/</ext-link>). The upset diagram was used to illustrate NT5E-related molecules from these three online databases and &#x201c;UpSetR&#x201d; R package was utilized for visualization. Totally, 168 NT5E related molecules were selected to perform enrichment analysis using the R package &#x201c;clusterProfiler&#x201d; and the &#x201c;ggplot2&#x201d; package was used for visualization.</p>
</sec>
<sec id="s3-7">
<title>2.7 Immunofluorescence staining</title>
<p>We collected supraglottic carcinoma specimens from the operating room of Chinese PLA General Hospital. All specimens were fixed with 4% formalin and embedded in paraffin. Seven serial sections with a thickness of 3&#xa0;mm were made. After using high pressure method for antigen retrieval for 3&#xa0;min, the sections were blocked with 10% goat serum (C0265, Beyotime, China) for 30&#xa0;min in thermostat at 37&#xb0;C, and incubated overnight at 4&#xb0;C with smooth muscle actin (&#x3b1;-SMA/ACTA2) primary antibody at concentrations of 1:50 (CL594-14395, Proteintech, United States). Then, sections were rinsed with PBS for three times for 10&#xa0;min each, and incubated with NT5E antibody at 1:50 (CL488-67789, Proteintech, United States) overnight at 4&#xb0;C. The cy3-labeled goat anti-rabbit IgG (A0516, Beyotime, China) was added and incubated at room temperature for 1 h, followed by counterstaining with DAPI for 8&#xa0;min. Whole slide imaging was operated by Pannoramic scan system (3DHISTECH, Hungary). The abovementioned procedures were approved by the Ethics Committee of Chinese PLA General Hospital (No. S2021-339-02). All of the patients or their legal guardians gave their informed consent to participate.</p>
</sec>
<sec id="s3-8">
<title>2.8 Statistical analysis</title>
<p>The Wilcoxon rank-sum test was employed to detect the statistical significance between two groups. Correlation analysis was analyzed by Spearman&#x2019;s correlation coefficient. All statistical analysis was performed using R software (version 3.6.3), and two-tailed <italic>p</italic> &#x3c; 0.05 was considered as of statistical significance.</p>
</sec>
</sec>
<sec sec-type="results" id="s4">
<title>3 Results</title>
<sec id="s4-1">
<title>3.1 NT5E was aberrantly expressed in pan-cancer</title>
<p>To illuminate the expression landscape of NT5E in cancer, we performed studies comparing NT5E mRNA expression level in cancers and normal tissues <italic>via</italic> TCGA and GTEx databases. The results indicated that the expression level of NT5E is significantly aberrant in a variety of cancer types. It was up-regulated in tumoral tissues compared to normal tissues in colon adenocarcinoma (COAD), lymphoid neoplasm diffuse large B-cell lymphoma (DLBC), esophageal carcinoma (ESCA), glioblastoma multiforme (GBM), HNSC, kidney renal clear cell carcinoma (KIRC), kidney renal papillary cell carcinoma (KIRP), acute myeloid leukemia (LAML), brain lower grade glioma (LGG), lung adenocarcinoma (LUAD), pancreatic adenocarcinoma (PAAD), rectum adenocarcinoma (READ), stomach adenocarcinoma (STAD), thyroid carcinoma (THCA) and thymoma (THYM) (<italic>p</italic> &#x3c; 0.001) (<xref ref-type="fig" rid="F1">Figure 1A</xref>), while down-regulated in bladder Urothelial Carcinoma (BLCA), breast invasive carcinoma (BRCA), cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), kidney chromophobe (KICH), ovarian serous cystadenocarcinoma (OV), prostate adenocarcinoma (PRAD), skin cutaneous melanoma (SKCM), testicular germ cell tumors (TGCT), uterine corpus endometrial carcinoma (UCEC) and uterine carcinosarcoma (UCS) (<italic>p</italic> &#x3c; 0.001) (<xref ref-type="fig" rid="F1">Figure 1A</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Basic information of NT5E. <bold>(A)</bold> The expression level of NT5E between tumor and normal tissues in each cancer based on the integrated data from TCGA and GTEx databases. <bold>(B)</bold> The expression level of NT5E between T1 &#x26; T2 &#x26; T3 and T4 stage in LUAD. <bold>(C)</bold> The expression level of NT5E between T1 &#x26; T2 and T3 &#x26; T4 stage in STAD. <bold>(D)</bold> The expression level of NT5E between T1 &#x26; T2 and T3 &#x26; T4 stage in THCA. <bold>(E)</bold> The expression level of NT5E between N0 &#x26; N1 and N2 &#x26; N3 stage in BRCA. <bold>(F)</bold> The expression level of NT5E between N0 &#x26; N1 and N2 &#x26; N3 stage in STAD. <bold>(G)</bold> The expression level of NT5E between N0 and N1 stage in THCA. <bold>(H)</bold> The expression level of NT5E between M0 and M1 stage in ACC. <bold>(I)</bold> The expression level of NT5E between clinical stage II &#x26; stage III and clinical stage IV in UVM. <bold>(J)</bold> NT5E abrupt landscape map in pan-cancer study according to the cBioPortal database (ns, <italic>p</italic> &#x2265; 0.05, &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001).</p>
</caption>
<graphic xlink:href="fphar-13-1064032-g001.tif"/>
</fig>
<p>Furthermore, in order to illustrate the relationship between NT5E overexpression and tumor progression, we employed studies to analyze the degree of NT5E expression in different pathological stages and revealed an aberrant difference in NT5E expression as the tumor progressed in adrenocortical carcinoma (ACC), uveal melanoma (UVM), LUAD, STAD, BRCA, and THCA. Firstly, NT5E expression is linked to cancer T stage, which was elevated in T4 stage compared with T1 &#x26; T2 &#x26; T3 stage in LUAD (<italic>p</italic> &#x3c; 0.01) (<xref ref-type="fig" rid="F1">Figure 1B</xref>), and was higher in T3 &#x26; T4 stage than T1 &#x26; T2 stage in STAD (<italic>p</italic> &#x3c; 0.05) and THCA (<italic>p</italic> &#x3c; 0.01) (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>). Secondly, expression levels of NT5E were also corelated with cancer N stage. We illustrated that the expression level of NT5E up-regulated in N2 &#x26; N3 stage in BRCA (<italic>p</italic> &#x3c; 0.05) and STAD (<italic>p</italic> &#x3c; 0.01) <bold>(</bold>
<xref ref-type="fig" rid="F1">Figures 1E,F</xref>
<bold>)</bold>, and up-regulated in N1 stage compared with N0 stage in THCA (<italic>p</italic> &#x3c; 0.001) (<xref ref-type="fig" rid="F1">Figure 1G</xref>). Finally, the expression level of NT5E is also different between M0 and M1 stage in ACC (<italic>p</italic> &#x3c; 0.05) (<xref ref-type="fig" rid="F1">Figure 1H</xref>), and difference between clinical stage II &#x26; III and clinical stage IV in UVM (<italic>p</italic> &#x3c; 0.05) (<xref ref-type="fig" rid="F1">Figure 1I</xref>). And then, we performed genomic alteration analysis of NT5E and the results illuminated that alterations of NT5E across pan-cancer were not universal (<xref ref-type="fig" rid="F1">Figure 1J</xref>). Thus, we hypothesized that it may be more important to study the changes of NT5E expression in transcription levels.</p>
</sec>
<sec id="s4-2">
<title>3.2 NT5E could serve as an efficient prognostic biomarker in pan-cancer</title>
<p>We performed studies to validate the potential value of NT5E expression in clinical prognostic among pan-cancer patients derived from TCGA database. According to the univariate Cox regression analysis, NT5E expression was associated with a variety of prognostic indicators in a variety of tumors, and the overexpression of NT5E could strongly predict worse OS in pancreatic adenocarcinoma (PAAD), HNSC, mesothelioma (MESO), STAD, UVM, CESC (<italic>p</italic> &#x3c; 0.01), LUAD, BRCA and KIRC (<italic>p</italic> &#x3c; 0.05) (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). Confounding characteristics selected with <italic>p</italic> &#x3c; 0.05, we then conducted Kaplan-Meier survival analysis, which suggested that a higher NT5E expression was associated with poor survival outcomes in PAAD [hazard ratio (HR) &#x3d; 2.04; 95% confidence interval (CI) &#x3d; 1.22&#x2013;3.40; <italic>p</italic> &#x3d; 0.001), HNSC (HR &#x3d; 1.51; CI &#x3d; 1.51&#x2013;1.98; <italic>p</italic> &#x3d; 0.002), MESO (HR &#x3d; 2.54; CI &#x3d; 1.57&#x2013;4.11; <italic>p</italic> &#x3d; 0.001), LUAD (HR &#x3d; 1.51; CI &#x3d; 1.13&#x2013;2.04; <italic>p</italic> &#x3d; 0.01), CESC (HR &#x3d; 1.74; CI &#x3d; 1.04&#x2013;2.91; <italic>p</italic> &#x3d; 0.02), UVM (HR &#x3d; 4.47; CI &#x3d; 1.97&#x2013;10.13; <italic>p</italic> &#x3d; 0.003), and STAD (HR &#x3d; 1.84; CI &#x3d; 1.32&#x2013;2.56; <italic>p</italic> &#x3c; 0.001), emphasizing that overexpression of NT5E is related to poor prognosis in these cancers (<xref ref-type="fig" rid="F2">Figures 2C&#x2013;I</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>
<bold>(A)</bold> the relationship between expression level of NT5E and overall survival (OS), disease-specific survival (DSS), disease-free interval (DFI) and progression-free interval (PFI) through the univariate Cox regression and Kaplan-Meier models. Red represents that NT5E is a risk factor, and gray indicates a protective factor related to prognosis. Only <italic>p</italic> values &#x3c; 0.05 were shown. <bold>(B)</bold> The forest plot showed the prognostic value of NT5E in cancers using univariate Cox regression method. <bold>(C&#x2013;I)</bold> Kaplan-Meier overall survival curves of NT5E in PAAD (HR &#x3d; 2.04; 95% CI &#x3d; 1.22&#x2013;3.40; <italic>p</italic> &#x3d; 0.001) <bold>(C)</bold>, HNSC (HR &#x3d; 1.51; CI &#x3d; 1.51&#x2013;1.98; <italic>p</italic> &#x3d; 0.002) <bold>(D)</bold>, MESO (HR &#x3d; 2.54; CI &#x3d; 1.57&#x2013;4.11; <italic>p</italic> &#x3d; 0.001) <bold>(E)</bold>, LUAD (HR &#x3d; 1.51; CI &#x3d; 1.13&#x2013;2.04; <italic>p</italic> &#x3d; 0.01) <bold>(F)</bold>, CESC (HR &#x3d; 1.74; CI &#x3d; 1.04&#x2013;2.91; <italic>p</italic> &#x3d; 0.02) <bold>(G)</bold>, UVM (HR &#x3d; 4.47; CI &#x3d; 1.97&#x2013;10.13; <italic>p</italic> &#x3d; 0.003) <bold>(H)</bold>, and STAD (HR &#x3d; 1.84; CI&#x3d; 1.32&#x2013;2.56; <italic>p</italic> &#x3c; 0.001) <bold>(I)</bold> (&#x2a;<italic>p</italic> &#x3c; 0.05; &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01).</p>
</caption>
<graphic xlink:href="fphar-13-1064032-g002.tif"/>
</fig>
</sec>
<sec id="s4-3">
<title>3.3 NT5E expression was positively related to CAFs and endothelial cells infiltration in pan-cancer</title>
<p>We performed studies to analyze the relationship between the infiltration degree of the immune cells and NT5E expression by several algorithms. According to EPIC and MCPcounter algorithms, we observed that NT5E expression was positively related to CAFs and endothelial cells infiltration in almost all cancers (<xref ref-type="fig" rid="F3">Figures 3A,B</xref>; <italic>p</italic> &#x3c; 0.01). Furthermore, to reveal the relationship between more species immune cells infiltration situation and the expression level of NT5E, we employed related analysis by applying CIBERSORT algorithms, in which there are 22 kinds of cells. The results illustrated that the expression level of NT5E is positively correlated several immune cells infiltration in almost all cancers, such as memory CD4<sup>&#x2b;</sup> T-Cells and M1-polarized macrophages, while negatively related to plasma cells and T follicular helper cells in pan-cancer (<xref ref-type="fig" rid="F3">Figure 3C</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>
<bold>(A&#x2013;C)</bold> The relationships of NT5E expression and the infiltration levels of immune cells in cancers based on EPIC <bold>(A)</bold>, MCPcounter <bold>(B)</bold>, and CIBERSORT methods <bold>(C)</bold>. Positive correlation in red and negative correlation in gray. (&#x2a;<italic>p</italic> &#x3c; 0.05; &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01).</p>
</caption>
<graphic xlink:href="fphar-13-1064032-g003.tif"/>
</fig>
</sec>
<sec id="s4-4">
<title>3.4 NT5E was related to cell adhesion function</title>
<p>We have confirmed that the expression degree of NT5E is corelated with the immune cell infiltration in the TME of several cancers. Thus, it is necessary to further explore the potential function of NT5E in the TME. We obtained numerous proteins that closely contacted with NT5E in functional level through the STRING database, in which the data was verified by experimental evidence. The protein interaction network was exhibited in <xref ref-type="fig" rid="F4">Figure 4A</xref>, and the gene interaction network was exhibited in <xref ref-type="fig" rid="F4">Figure 4B</xref>, which was analysed based on the GeneMANIA website. Furthermore, we performed GO and KEGG enrichment analysis based on 168 NT5E related molecules, which were selected from STRING database, GeneMANIA database and COXPRESdb (<xref ref-type="fig" rid="F4">Figure 4C</xref>). The GO enrichment analysis revealed the biological process (BP), cellular component (CC) and molecular function (MF), involved in NT5E (<xref ref-type="fig" rid="F4">Figures 4D&#x2013;F</xref>). Moreover, the result of KEGG enrichment analysis is exhibited in <xref ref-type="fig" rid="F4">Figure 4G</xref>. It&#x2019;s worth noting that the cell components related to NT5E include cytoplasmic vesicle lumen, cell-substrate junction, cell-substrate adherens junction, focal adhesion and external side of plasma membrane (<xref ref-type="fig" rid="F4">Figure 4E</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>NT5E-related gene enrichment analysis. <bold>(A)</bold> We obtained the available experimentally determined NT5E -binding proteins using the STRING database. <bold>(B)</bold> We used the GeneMANIA website to get the 20 genes most closely related to NT5E. <bold>(C)</bold> 168 NT5E related molecules were selected from STRING database, GeneMANIA database and COXPRESdb. <bold>(D&#x2013;F)</bold> The biological process <bold>(D)</bold>, cell components <bold>(E)</bold>, and molecular function <bold>(F)</bold> involved in NT5E in GO enrichment analyses. <bold>(G)</bold> the KEGG pathways enrichment analysis.</p>
</caption>
<graphic xlink:href="fphar-13-1064032-g004.tif"/>
</fig>
</sec>
<sec id="s4-5">
<title>3.5 NT5E was highly expressed in the endothelia cells and CAFs in pan-cancer</title>
<p>We performed the single-cell analysis of NT5E to quantify the expression level of NT5E in different cell types (including immune cells, stromal cells, malignant cells, and functional cells), the results also showed that NT5E more likely expressed in the endothelia cells and CAFs in several cancers such as basal cell carcinoma (BCC), HNSC, PAAD and skin cutaneous melanoma (SKCM) (<xref ref-type="fig" rid="F5">Figure 5A</xref>). Furthermore, the scatter plots also illustrated that NT5E is undoubtedly highly expressed in CAFs and endothelia cells in the tumor microenvironment in above four cancers (<xref ref-type="fig" rid="F5">Figures 5B&#x2013;E</xref>). Moreover, the <italic>in situ</italic> expression of NT5E was further analyzed using HPA databases based on IHC staining, in which NT5E expression is significantly higher in tumor tissues than normal tissues, and this phenomenon is all exhibited in skin, pancreas and head and neck tissues (<xref ref-type="fig" rid="F5">Figure 5F</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>
<bold>(A)</bold> Summary of NT5E expression of 33 cell types in 79 single cell databases. <bold>(B&#x2013;E)</bold> Scatter plot showed the distributions of 10 different cell types (Left) and the NT5E expression levels (Right) of cells in the GSE123813_aPD1 BCC database <bold>(B)</bold>, GSE103322 HNSC database <bold>(C)</bold>, CRA001160 PAAD database <bold>(D)</bold> and GSE72056 SKCM database <bold>(E)</bold>. <bold>(F)</bold> Expression of the NT5E protein in several normal and tumor tissues.</p>
</caption>
<graphic xlink:href="fphar-13-1064032-g005.tif"/>
</fig>
</sec>
<sec id="s4-6">
<title>3.6 CAFs might play an important role in epithelial-mesenchymal transition of various tumor species</title>
<p>Moreover, we estimated the cancer biology-related functional states of NT5E at single-cell sequencing level using CancerSEA Portal, the results exhibited that NT5E expression is positively correlated with EMT function in several cancers (<xref ref-type="fig" rid="F6">Figure 6A</xref>). Then, we performed studies to obtain up-regulated Hallmark gene-sets in different cell subsets, and the results suggested that EMT function of CAFs was significantly up-regulated in multiple tumor species, including BCC, SKCM, HNSC, and PAAD (<xref ref-type="fig" rid="F6">Figure 6B</xref>). Furthermore, we also found that the degree of EMT of CAFs cell subsets was higher than that of other cell subsets based on the GSEA module of TISCH database (<xref ref-type="fig" rid="F6">Figure 6C</xref>). These results suggest that CAFs may play an important role in EMT of various tumor species.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>
<bold>(A)</bold> Relevance of NT5E across 14 functional states in distinct cancers based on CancerSEA database. <bold>(B)</bold> The UP-REGULATED HALLMARK GENE-SETS enrichment analysis of NT5E in pan-cancer. <bold>(C)</bold> EMT in multiple cell subsets were obtained using the single-cell Signature Explorer function in the GSEA module of TISCH database.</p>
</caption>
<graphic xlink:href="fphar-13-1064032-g006.tif"/>
</fig>
</sec>
<sec id="s4-7">
<title>3.7 <italic>In-situ</italic> immunofluorescence staining verified the NT5E expression on CAFs in HNSC specimens</title>
<p>The supraglottic carcinoma specimens with various TNM-staging were collected as representatives for HNSC samples, and the staining results were displayed in <xref ref-type="fig" rid="F7">Figure 7</xref>. The expression abundance of NT5E was positively related to T staging. Besides, the immunofluorescence staining results revealed the co-expressed pattern of NT5E and &#x3b1;-SMA, a most commonly used CAFs marker.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Validation of NT5E expression pattern on the supraglottic carcinoma specimens with various TNM-staging. Scale bar &#x3d; 50&#xa0;&#x3bc;m. Red stands for &#x03B1;-SMA expression, green stands for NT5E expression, and blue stands for nuclear staining by DAPI.</p>
</caption>
<graphic xlink:href="fphar-13-1064032-g007.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>4 Discussion</title>
<p>This study is an integrated pan-cancer analysis about the potential prognostic value of NT5E. We reported that the expression level of NT5E was elevated in many tumor types, such as ovarian cancer and colorectal tumor tissues (<xref ref-type="bibr" rid="B27">Gaudreau et al., 2016</xref>; <xref ref-type="bibr" rid="B89">Wu et al., 2016</xref>). The overexpression of NT5E was also associated with poor prognosis, and was related to tumor development and invasion in pancreas, prostate, bladder and head and neck cancer (<xref ref-type="bibr" rid="B92">Yang et al., 2013</xref>; <xref ref-type="bibr" rid="B52">Mandapathil et al., 2018</xref>; <xref ref-type="bibr" rid="B44">Koivisto et al., 2019</xref>; <xref ref-type="bibr" rid="B96">Zhou et al., 2019</xref>; <xref ref-type="bibr" rid="B16">Chen et al., 2022</xref>). In this study, not only did we illustrate that NT5E might serve as a negative prognostic biomarker for LUAD, STAD, BRCA and UVM, but also revealed that it is positively correlated with tumor stage in several cancers. The results of immunofluorescence staining, in our study, also uncovered that the expression level of NT5E was positively correlated with T staging in the supraglottic carcinoma, which is considered to belong to the typical HNSC. These results suggested that NT5E might facilitate tumor growth and tumor metastasis.</p>
<p>Tumor metastasis is a complex process manipulated by multiple mechanisms (<xref ref-type="bibr" rid="B62">Pantel and Brakenhoff, 2004</xref>; <xref ref-type="bibr" rid="B67">Quail and Joyce, 2013</xref>; <xref ref-type="bibr" rid="B50">L&#xf3;pez-Soto et al., 2017</xref>). One of the important mechanisms is that the primary tumors cells invade through the physical barrier, namely the basement membrane, and disseminate <italic>via</italic> the circulation system. In the process of tumor invasion, the epithelial cells also break through the basement membrane and separate from neighboring cells to damage adjacent cell layers. The reason lies in the acquirement of migratory and invasive properties through EMT (<xref ref-type="bibr" rid="B82">Thiery et al., 2009</xref>), during which the apical-basal polarity and cell-cell adhesion of epithelial cells were weakened, and thus transited into invasive mesenchymal cells (<xref ref-type="bibr" rid="B21">Du and Shim, 2016</xref>). Then, mesenchymal cells could invade through ECM, one of the essential components of TME, which is composed of collagen, elastin, fibronectin, hyaluronic acid, proteoglycans and glycoproteins, undertaking the task to support tissues by encapsulating cells (<xref ref-type="bibr" rid="B60">Otranto et al., 2012</xref>; <xref ref-type="bibr" rid="B64">Pickup et al., 2014</xref>; <xref ref-type="bibr" rid="B88">Willumsen et al., 2018</xref>). In this case, the tumor cells would lose cell-cell adhesion and thus acquire motility. Moreover, it has been reported that the circulating tumor cells, which are important precursors of cancer metastasis, could be allowed to escape from antimetastatic checkpoints to realize distant metastasis by the mechanism of EMT process (<xref ref-type="bibr" rid="B90">Xiang et al., 2022</xref>). In our study, the results of enrichment analysis also demonstrated the critical role of NT5E as a regulator of cell-substrate junction, cell-substrate adherens junction, focal adhesion and external side of plasma membrane, and these functions are closely related to cell polarization and EMT (<xref ref-type="bibr" rid="B83">Thiery and Sleeman, 2006</xref>; <xref ref-type="bibr" rid="B9">Baronsky et al., 2017</xref>; <xref ref-type="bibr" rid="B85">Venhuizen et al., 2020</xref>), which plays an crucial role in cancer progression, especially tumor cell invasion (<xref ref-type="bibr" rid="B77">Son and Moon, 2010</xref>). Therefore, the pro-tumor function of NT5E may be related to facilitating the EMT of tumor cells.</p>
<p>Moreover, the metastatic potential of cancer cells is closely dependent on the TME. Notably, CAFs are one of the major components of the tumor stroma contributing significantly to the TME, which were differentiated from stromal fibroblast cells by the stimulation of paracrine growth factors secreted from tumor cells (<xref ref-type="bibr" rid="B42">Kalluri and Zeisberg, 2006</xref>; <xref ref-type="bibr" rid="B81">Tejada et al., 2006</xref>). Unlike normal stromal fibroblasts, CAFs could facilitate cancer cells survival (<xref ref-type="bibr" rid="B54">Martinez-Outschoorn et al., 2010</xref>), growth and progression (<xref ref-type="bibr" rid="B58">Orimo et al., 2005</xref>; <xref ref-type="bibr" rid="B29">Giannoni et al., 2010</xref>). It has been validated that CAFs secrete a number of cytokines, which could facilitate tumor cells invasion and metastasis by activating several signaling pathways (<xref ref-type="bibr" rid="B8">Ao et al., 2007</xref>; <xref ref-type="bibr" rid="B45">Kojima et al., 2010</xref>; <xref ref-type="bibr" rid="B43">Karagiannis et al., 2012</xref>; <xref ref-type="bibr" rid="B95">Yu et al., 2014</xref>; <xref ref-type="bibr" rid="B75">Shien et al., 2017</xref>; <xref ref-type="bibr" rid="B25">Gao et al., 2019</xref>). In addition, CAFs also play important roles in orchestrating the ECM in almost all cancers. It has been illustrated that ECM remodeling could also facilitate the invasion and migration of cancer cells, and cancer cells with the EMT phenotype make great contribution to this process by producing ECM-degrading proteases (<xref ref-type="bibr" rid="B29">Giannoni et al., 2010</xref>; <xref ref-type="bibr" rid="B66">Qiao et al., 2010</xref>). In our study, the results of enrichment analysis of NT5E may imply that it may be correlated with EMT during cancer progress. Moreover, we employed studies to gain elevated hallmark gene-sets in different cell subsets, and the results illuminated that EMT function of CAFs was elevated in BCC, SKCM, HNSC, and PAAD. Then, based on the GSEA module of TISCH database, the analysis results, also showed that the degree of EMT of CAFs was higher than that of other cell subsets. These results are consistent with the above conclusion that CAFs make great contribution to maintain tumor growth and development.</p>
<p>According to previous studies, a high level of CAFs infiltration was considered to make great contribute to an unfavorable clinical outcome of patients (<xref ref-type="bibr" rid="B30">Gieniec et al., 2019</xref>; <xref ref-type="bibr" rid="B34">Hosein et al., 2020</xref>; <xref ref-type="bibr" rid="B65">Piersma et al., 2020</xref>). Consequently, there are more and more attentions focused on the therapy targeted-CAFs, which is believed to be one of the complementary treatment strategies for cancer. The first strategy is to deplete CAFs directly by either transgenic technologies or immunotherapies (<xref ref-type="bibr" rid="B61">&#xd6;zdemir et al., 2015</xref>). For example, the previous study revealed that a specific CAF subpopulation (referred to as CAF-S1) expressed NT5E could upregulate the power of Tregs to inhibit the proliferation of effector T cells (<xref ref-type="bibr" rid="B19">Costa et al., 2018</xref>; <xref ref-type="bibr" rid="B31">Givel et al., 2018</xref>), while this effect could be neutralize after using an anti-CD73 antibody (<xref ref-type="bibr" rid="B51">Magagna et al., 2021</xref>). Secondly, some molecules, including all-trans retinoic acid (ATRA) and calcipotriol, could promote CAFs to become normalized and adopt an inactive phenotype (<xref ref-type="bibr" rid="B23">Froeling et al., 2011</xref>). Moreover, CAFs could be used as a vehicle to deliver anticancer drugs, including TNF-related apoptosis-inducing ligand (TRAIL) or type I interferon (IFN) (<xref ref-type="bibr" rid="B55">Miao et al., 2017</xref>). Finally, the function of CAFs could be inhibited by regulating the activation of targeting crucial signals and effectors, such as chemokine and growth factor pathways (<xref ref-type="bibr" rid="B29">Giannoni et al., 2010</xref>; <xref ref-type="bibr" rid="B2">Albrengues et al., 2015</xref>). Interestingly, NT5E has also been considered as a novel checkpoint inhibitor target (<xref ref-type="bibr" rid="B4">Allard et al., 2017b</xref>). It has been illustrated that overexpression of NT5E could inhibit the immunosurveillance of immune cells, which may be correlated with immune evasion and tumor metastasis (<xref ref-type="bibr" rid="B79">Stagg et al., 2010</xref>; <xref ref-type="bibr" rid="B47">Leclerc et al., 2016</xref>). Moreover, tumor cell death could result in CAFs-NT5E overexpression <italic>via</italic> an adenosine-adenosinergic A2<sub>B</sub> receptor (A<sub>2B</sub>R) mediated feedforward circuit, which could furtherly exacerbate the immunosuppressive environment (<xref ref-type="bibr" rid="B94">Yu et al., 2020</xref>). According to the results of our study, NT5E was related positively to the infiltration stage of CAFs in most cancers (<xref ref-type="bibr" rid="B35">Hu et al., 2020</xref>), and single-cell analysis also showed that NT5E was mainly expressed on the CAFs in several cancers such as BCC, HNSC, PAAD, and SKCM. Furthermore, in the supraglottic carcinoma specimens, we also illustrated that NT5E was co-expressed with &#x3b1;-SMA, which was one of the myofibroblast markers and expressed on CAFs (<xref ref-type="bibr" rid="B59">Orimo and Weinberg, 2007</xref>; <xref ref-type="bibr" rid="B74">Sharon et al., 2013</xref>). Thus, NT5E may be a crucial signal related to the activation of CAFs. High-NT5E expressed CAFs could serve as novel targets for immunotherapy. Thus, we performed correlation analyses between immune-related genes and NT5E expression level on pan-cancer level, and uncovered that the expression levels of several immunoinhibitors were positively correlated with NT5E expression, including kinase insert domain-containing receptor (KDR), interleukin-10 receptor B (IL10RB) and transforming growth factor-beta receptor 1 (TGFBR1) (<xref ref-type="sec" rid="s12">Supplementary Figures S1, S2</xref>).</p>
<p>Still and all, there is no doubt that our research also has some limitations. Firstly, because the data used in this study was derived from online databases, which are characterized by open and imprecise, systematic bias may become an inevitable factor. Secondly, pan-cancer analysis is of distinct heterogeneity attributing to different cancer. Thirdly, the findings of the current investigation demand clinical trial-based validation in several cancer patients receiving high-NT5E-expression CAFs-targeting immunotherapies. Finally, more functional experiments such as flow cytometry and single cell RNA-seq are needed to further elucidate CAFs and NT5E contents in specific cancer.</p>
</sec>
<sec sec-type="conclusion" id="s6">
<title>5 Conclusion</title>
<p>In summary, this study is an integrated analysis of NT5E in pan-cancer. We illuminated that NT5E could serve as an efficient prognostic biomarker in pan-cancer, its expression level was positively related to CAFs and endothelial cells infiltration in pan-cancer. Moreover, NT5E is more likely expressed in the endothelia cells and CAFs in pan-cancer, and CAFs may play an important role in EMT of various tumor species. We concluded that the underlying mechanism of the NT5E pro-tumor effect may be related to the up-regulated EMT function of CAFs, which may provide some information to study immune therapy targeted CAFs and NT5E.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Materials</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>X-mX, Y-yL, and X-mC undertook the task of conception, study design and bioinformatics analysis. B-yT, PL, H-wZ and CZ interpreted the data. LW, Y-kJ, Z-wD, and W-dS were responsible for acquisition of data. F-yW, S-mY, and JZ were responsible for a final approval of the version to be submitted. All authors contributed to and revised the final manuscript.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This work was supported by grants from the National key research and development program (Nos. 2019YFC0121302 and 2019YFC0840707) and the Beijing Nova Program (No. Z201100006820133).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2022.1064032/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2022.1064032/full&#x23;supplementary-material</ext-link>
</p>
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<supplementary-material xlink:href="Image1.TIF" id="SM3" mimetype="application/TIF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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