Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Frontiers in molecular biosciences 2021-07, Vol.8, p.633299-633299
Main Authors: Luo, Cheng, Huang, Bin, Wu, Yukun, Xu, Yadong, Ou, Wei, Chen, Junxing, Chen, Lingwu
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c442t-39c03fea8610fd8619ba62999dd271d197a6976c2ae01e14d81584616ce4a6e63
cites cdi_FETCH-LOGICAL-c442t-39c03fea8610fd8619ba62999dd271d197a6976c2ae01e14d81584616ce4a6e63
container_end_page 633299
container_issue
container_start_page 633299
container_title Frontiers in molecular biosciences
container_volume 8
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
format article
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>
fulltext fulltext
identifier ISSN: 2296-889X
ispartof Frontiers in molecular biosciences, 2021-07, Vol.8, p.633299-633299
issn 2296-889X
2296-889X
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_864adfcf321e4402b790d139c9dd2587
source PubMed Central
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T13%3A45%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identification%20of%20Lymph%20Node%20Metastasis%E2%80%93Related%20Key%20Genes%20and%20Prognostic%20Risk%20Model%20in%20Bladder%20Cancer%20by%20Co-Expression%20Analysis&rft.jtitle=Frontiers%20in%20molecular%20biosciences&rft.au=Luo,%20Cheng&rft.date=2021-07-22&rft.volume=8&rft.spage=633299&rft.epage=633299&rft.pages=633299-633299&rft.issn=2296-889X&rft.eissn=2296-889X&rft_id=info:doi/10.3389/fmolb.2021.633299&rft_dat=%3Cproquest_doaj_%3E2559672717%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c442t-39c03fea8610fd8619ba62999dd271d197a6976c2ae01e14d81584616ce4a6e63%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2559672717&rft_id=info:pmid/34368222&rfr_iscdi=true