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Identification of Lymph Node Metastasis–Related Key Genes and Prognostic Risk Model in Bladder Cancer by Co-Expression Analysis
Background: Lymph node metastasis (LNM) is an important pathological characteristic of bladder cancer (BCa). However, the molecular mechanism underlying LNM was not thoroughly elaborated. Identification for LNM-related biomarkers may contribute to making suitable therapies. So, the current study was...
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Published in: | Frontiers in molecular biosciences 2021-07, Vol.8, p.633299-633299 |
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creator | Luo, Cheng Huang, Bin Wu, Yukun Xu, Yadong Ou, Wei Chen, Junxing Chen, Lingwu |
description | Background:
Lymph node metastasis (LNM) is an important pathological characteristic of bladder cancer (BCa). However, the molecular mechanism underlying LNM was not thoroughly elaborated. Identification for LNM-related biomarkers may contribute to making suitable therapies. So, the current study was aimed to identify key genes and construct a prognostic signature.
Methods:
Based on the Cancer Genome Atlas (TCGA) database, gene expression and clinical information were obtained. Then, the weighted gene co-expression network analysis (WGCNA) was performed to identify the key modules and hub genes. A function analysis and a gene set enrichment analysis were applied to explore biological functions and pathways of interested genes. Furthermore, a prognostic model based on LNM-related genes was constructed by using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis.
Results:
Finally, nine co-expression modules were constructed, and two modules (turquoise and green) were significantly associated with LNM. Three hub genes were identified as DACT3, TNS1, and MSRB3, which were annotated in actin binding, actin cytoskeleton, adaptive immune response, and cell adhesion molecular binding by the GSEA method. Further analysis demonstrated that three hub genes were associated with the overall survival of BCa patients. In addition, we built a prognostic signature based on the genes from LNM-related modules and evaluated the prognostic value of this signature.
Conclusion:
In general, this study revealed the key genes related to LNM and prognostic signature, which might provide new insights into therapeutic target of BCa. |
doi_str_mv | 10.3389/fmolb.2021.633299 |
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fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_864adfcf321e4402b790d139c9dd2587</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_864adfcf321e4402b790d139c9dd2587</doaj_id><sourcerecordid>2559672717</sourcerecordid><originalsourceid>FETCH-LOGICAL-c442t-39c03fea8610fd8619ba62999dd271d197a6976c2ae01e14d81584616ce4a6e63</originalsourceid><addsrcrecordid>eNpVks1u1DAUhSMEolXpA7Dzks0M_otjb5DKqLQjpoAqkNhZjn0zdXHiwc4gsivPwBvyJDidClHJ8rX88x2fq1NVLwleMibV666PoV1STMlSMEaVelIdU6rEQkr19el_66PqNOdbjDGpMWsEf14dMc6EpJQeV7_WDobRd96a0ccBxQ5tpn53gz5EB-gKRpPL8PnP3e9rCGYEh97DhC5ggIzM4NCnFLdDzKO36Nrnb-iqvAvID-htMM5BQisz2FLaCa3i4vznLkHOs9LZYMJUyC-qZ50JGU4f6kn15d3559XlYvPxYr062yws53RcMGUx68BIQXDnyqxaI4pr5RxtiCOqMUI1wlIDmADhTpJackGEBW4ECHZSrQ9cF82t3iXfmzTpaLy-34hpq00qNgJoKbhxne0YJcA5pm2jsCPlB7NYLZvCenNg7fZtD86WFiYTHkEfnwz-Rm_jDy0ZU6X3BfDqAZDi9z3kUfc-WwjBDBD3WdO6VqIpxmYtcrhqU8w5QfdPhmA9J0HfJ0HPSdCHJLC_q7qoig</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2559672717</pqid></control><display><type>article</type><title>Identification of Lymph Node Metastasis–Related Key Genes and Prognostic Risk Model in Bladder Cancer by Co-Expression Analysis</title><source>PubMed Central</source><creator>Luo, Cheng ; Huang, Bin ; Wu, Yukun ; Xu, Yadong ; Ou, Wei ; Chen, Junxing ; Chen, Lingwu</creator><creatorcontrib>Luo, Cheng ; Huang, Bin ; Wu, Yukun ; Xu, Yadong ; Ou, Wei ; Chen, Junxing ; Chen, Lingwu</creatorcontrib><description>Background:
Lymph node metastasis (LNM) is an important pathological characteristic of bladder cancer (BCa). However, the molecular mechanism underlying LNM was not thoroughly elaborated. Identification for LNM-related biomarkers may contribute to making suitable therapies. So, the current study was aimed to identify key genes and construct a prognostic signature.
Methods:
Based on the Cancer Genome Atlas (TCGA) database, gene expression and clinical information were obtained. Then, the weighted gene co-expression network analysis (WGCNA) was performed to identify the key modules and hub genes. A function analysis and a gene set enrichment analysis were applied to explore biological functions and pathways of interested genes. Furthermore, a prognostic model based on LNM-related genes was constructed by using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis.
Results:
Finally, nine co-expression modules were constructed, and two modules (turquoise and green) were significantly associated with LNM. Three hub genes were identified as DACT3, TNS1, and MSRB3, which were annotated in actin binding, actin cytoskeleton, adaptive immune response, and cell adhesion molecular binding by the GSEA method. Further analysis demonstrated that three hub genes were associated with the overall survival of BCa patients. In addition, we built a prognostic signature based on the genes from LNM-related modules and evaluated the prognostic value of this signature.
Conclusion:
In general, this study revealed the key genes related to LNM and prognostic signature, which might provide new insights into therapeutic target of BCa.</description><identifier>ISSN: 2296-889X</identifier><identifier>EISSN: 2296-889X</identifier><identifier>DOI: 10.3389/fmolb.2021.633299</identifier><identifier>PMID: 34368222</identifier><language>eng</language><publisher>Frontiers Media S.A</publisher><subject>bladder cancer ; hub genes ; lymph node metastasis ; Molecular Biosciences ; prognostic signature ; weighted gene co-expression network analysis</subject><ispartof>Frontiers in molecular biosciences, 2021-07, Vol.8, p.633299-633299</ispartof><rights>Copyright © 2021 Luo, Huang, Wu, Xu, Ou, Chen and Chen. 2021 Luo, Huang, Wu, Xu, Ou, Chen and Chen</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-39c03fea8610fd8619ba62999dd271d197a6976c2ae01e14d81584616ce4a6e63</citedby><cites>FETCH-LOGICAL-c442t-39c03fea8610fd8619ba62999dd271d197a6976c2ae01e14d81584616ce4a6e63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339436/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339436/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,53789,53791</link.rule.ids></links><search><creatorcontrib>Luo, Cheng</creatorcontrib><creatorcontrib>Huang, Bin</creatorcontrib><creatorcontrib>Wu, Yukun</creatorcontrib><creatorcontrib>Xu, Yadong</creatorcontrib><creatorcontrib>Ou, Wei</creatorcontrib><creatorcontrib>Chen, Junxing</creatorcontrib><creatorcontrib>Chen, Lingwu</creatorcontrib><title>Identification of Lymph Node Metastasis–Related Key Genes and Prognostic Risk Model in Bladder Cancer by Co-Expression Analysis</title><title>Frontiers in molecular biosciences</title><description>Background:
Lymph node metastasis (LNM) is an important pathological characteristic of bladder cancer (BCa). However, the molecular mechanism underlying LNM was not thoroughly elaborated. Identification for LNM-related biomarkers may contribute to making suitable therapies. So, the current study was aimed to identify key genes and construct a prognostic signature.
Methods:
Based on the Cancer Genome Atlas (TCGA) database, gene expression and clinical information were obtained. Then, the weighted gene co-expression network analysis (WGCNA) was performed to identify the key modules and hub genes. A function analysis and a gene set enrichment analysis were applied to explore biological functions and pathways of interested genes. Furthermore, a prognostic model based on LNM-related genes was constructed by using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis.
Results:
Finally, nine co-expression modules were constructed, and two modules (turquoise and green) were significantly associated with LNM. Three hub genes were identified as DACT3, TNS1, and MSRB3, which were annotated in actin binding, actin cytoskeleton, adaptive immune response, and cell adhesion molecular binding by the GSEA method. Further analysis demonstrated that three hub genes were associated with the overall survival of BCa patients. In addition, we built a prognostic signature based on the genes from LNM-related modules and evaluated the prognostic value of this signature.
Conclusion:
In general, this study revealed the key genes related to LNM and prognostic signature, which might provide new insights into therapeutic target of BCa.</description><subject>bladder cancer</subject><subject>hub genes</subject><subject>lymph node metastasis</subject><subject>Molecular Biosciences</subject><subject>prognostic signature</subject><subject>weighted gene co-expression network analysis</subject><issn>2296-889X</issn><issn>2296-889X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVks1u1DAUhSMEolXpA7Dzks0M_otjb5DKqLQjpoAqkNhZjn0zdXHiwc4gsivPwBvyJDidClHJ8rX88x2fq1NVLwleMibV666PoV1STMlSMEaVelIdU6rEQkr19el_66PqNOdbjDGpMWsEf14dMc6EpJQeV7_WDobRd96a0ccBxQ5tpn53gz5EB-gKRpPL8PnP3e9rCGYEh97DhC5ggIzM4NCnFLdDzKO36Nrnb-iqvAvID-htMM5BQisz2FLaCa3i4vznLkHOs9LZYMJUyC-qZ50JGU4f6kn15d3559XlYvPxYr062yws53RcMGUx68BIQXDnyqxaI4pr5RxtiCOqMUI1wlIDmADhTpJackGEBW4ECHZSrQ9cF82t3iXfmzTpaLy-34hpq00qNgJoKbhxne0YJcA5pm2jsCPlB7NYLZvCenNg7fZtD86WFiYTHkEfnwz-Rm_jDy0ZU6X3BfDqAZDi9z3kUfc-WwjBDBD3WdO6VqIpxmYtcrhqU8w5QfdPhmA9J0HfJ0HPSdCHJLC_q7qoig</recordid><startdate>20210722</startdate><enddate>20210722</enddate><creator>Luo, Cheng</creator><creator>Huang, Bin</creator><creator>Wu, Yukun</creator><creator>Xu, Yadong</creator><creator>Ou, Wei</creator><creator>Chen, Junxing</creator><creator>Chen, Lingwu</creator><general>Frontiers Media S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210722</creationdate><title>Identification of Lymph Node Metastasis–Related Key Genes and Prognostic Risk Model in Bladder Cancer by Co-Expression Analysis</title><author>Luo, Cheng ; Huang, Bin ; Wu, Yukun ; Xu, Yadong ; Ou, Wei ; Chen, Junxing ; Chen, Lingwu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-39c03fea8610fd8619ba62999dd271d197a6976c2ae01e14d81584616ce4a6e63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>bladder cancer</topic><topic>hub genes</topic><topic>lymph node metastasis</topic><topic>Molecular Biosciences</topic><topic>prognostic signature</topic><topic>weighted gene co-expression network analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luo, Cheng</creatorcontrib><creatorcontrib>Huang, Bin</creatorcontrib><creatorcontrib>Wu, Yukun</creatorcontrib><creatorcontrib>Xu, Yadong</creatorcontrib><creatorcontrib>Ou, Wei</creatorcontrib><creatorcontrib>Chen, Junxing</creatorcontrib><creatorcontrib>Chen, Lingwu</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Frontiers in molecular biosciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luo, Cheng</au><au>Huang, Bin</au><au>Wu, Yukun</au><au>Xu, Yadong</au><au>Ou, Wei</au><au>Chen, Junxing</au><au>Chen, Lingwu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of Lymph Node Metastasis–Related Key Genes and Prognostic Risk Model in Bladder Cancer by Co-Expression Analysis</atitle><jtitle>Frontiers in molecular biosciences</jtitle><date>2021-07-22</date><risdate>2021</risdate><volume>8</volume><spage>633299</spage><epage>633299</epage><pages>633299-633299</pages><issn>2296-889X</issn><eissn>2296-889X</eissn><abstract>Background:
Lymph node metastasis (LNM) is an important pathological characteristic of bladder cancer (BCa). However, the molecular mechanism underlying LNM was not thoroughly elaborated. Identification for LNM-related biomarkers may contribute to making suitable therapies. So, the current study was aimed to identify key genes and construct a prognostic signature.
Methods:
Based on the Cancer Genome Atlas (TCGA) database, gene expression and clinical information were obtained. Then, the weighted gene co-expression network analysis (WGCNA) was performed to identify the key modules and hub genes. A function analysis and a gene set enrichment analysis were applied to explore biological functions and pathways of interested genes. Furthermore, a prognostic model based on LNM-related genes was constructed by using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis.
Results:
Finally, nine co-expression modules were constructed, and two modules (turquoise and green) were significantly associated with LNM. Three hub genes were identified as DACT3, TNS1, and MSRB3, which were annotated in actin binding, actin cytoskeleton, adaptive immune response, and cell adhesion molecular binding by the GSEA method. Further analysis demonstrated that three hub genes were associated with the overall survival of BCa patients. In addition, we built a prognostic signature based on the genes from LNM-related modules and evaluated the prognostic value of this signature.
Conclusion:
In general, this study revealed the key genes related to LNM and prognostic signature, which might provide new insights into therapeutic target of BCa.</abstract><pub>Frontiers Media S.A</pub><pmid>34368222</pmid><doi>10.3389/fmolb.2021.633299</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | bladder cancer hub genes lymph node metastasis Molecular Biosciences prognostic signature weighted gene co-expression network analysis |
title | Identification of Lymph Node Metastasis–Related Key Genes and Prognostic Risk Model in Bladder Cancer by Co-Expression Analysis |
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