An immune cell infiltration-related gene signature predicts prognosis for bladder cancer

Abstract To explore novel therapeutic targets, develop a gene signature and construct a prognostic nomogram of bladder cancer (BCa). Transcriptome data and clinical traits of BCa were downloaded from UCSC Xena database and Gene Expression Omnibus (GEO) database. We then used the method of Single sam...

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Autores principales:	Hualin Chen, Yang Pan, Xiaoxiang Jin, Gang Chen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ee4a5c75c07b4db48d9479063373e487
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spelling	oai:doaj.org-article:ee4a5c75c07b4db48d9479063373e4872021-12-02T17:08:43ZAn immune cell infiltration-related gene signature predicts prognosis for bladder cancer10.1038/s41598-021-96373-w2045-2322https://doaj.org/article/ee4a5c75c07b4db48d9479063373e4872021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96373-whttps://doaj.org/toc/2045-2322Abstract To explore novel therapeutic targets, develop a gene signature and construct a prognostic nomogram of bladder cancer (BCa). Transcriptome data and clinical traits of BCa were downloaded from UCSC Xena database and Gene Expression Omnibus (GEO) database. We then used the method of Single sample Gene Set Enrichment analysis (ssGSEA) to calculate the infiltration abundances of 24 immune cells in eligible BCa samples. By weighted correlation network analysis (WGCNA), we identified turquoise module with strong and significant association with the infiltration abundance of immune cells which were associated with overall survival of BCa patients. Subsequently, we developed an immune cell infiltration-related gene signature based on the module genes (MGs) and immune-related genes (IRGs) from the Immunology Database and Analysis Portal (ImmPort). Then, we tested the prognostic power and performance of the signature in both discovery and external validation datasets. A nomogram integrated with signature and clinical features were ultimately constructed and tested. Five prognostic immune cell infiltration-related module genes (PIRMGs), namely FPR1, CIITA, KLRC1, TNFRSF6B, and WFIKKN1, were identified and used for gene signature development. And the signature showed independent and stable prognosis predictive power. Ultimately, a nomogram consisting of signature, age and tumor stage was constructed, and it showed good and stable predictive ability on prognosis. Our prognostic signature and nomogram provided prognostic indicators and potential immunotherapeutic targets for BCa. Further researches are needed to verify the clinical effectiveness of this nomogram and these biomarkers.Hualin ChenYang PanXiaoxiang JinGang ChenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hualin Chen Yang Pan Xiaoxiang Jin Gang Chen An immune cell infiltration-related gene signature predicts prognosis for bladder cancer
description	Abstract To explore novel therapeutic targets, develop a gene signature and construct a prognostic nomogram of bladder cancer (BCa). Transcriptome data and clinical traits of BCa were downloaded from UCSC Xena database and Gene Expression Omnibus (GEO) database. We then used the method of Single sample Gene Set Enrichment analysis (ssGSEA) to calculate the infiltration abundances of 24 immune cells in eligible BCa samples. By weighted correlation network analysis (WGCNA), we identified turquoise module with strong and significant association with the infiltration abundance of immune cells which were associated with overall survival of BCa patients. Subsequently, we developed an immune cell infiltration-related gene signature based on the module genes (MGs) and immune-related genes (IRGs) from the Immunology Database and Analysis Portal (ImmPort). Then, we tested the prognostic power and performance of the signature in both discovery and external validation datasets. A nomogram integrated with signature and clinical features were ultimately constructed and tested. Five prognostic immune cell infiltration-related module genes (PIRMGs), namely FPR1, CIITA, KLRC1, TNFRSF6B, and WFIKKN1, were identified and used for gene signature development. And the signature showed independent and stable prognosis predictive power. Ultimately, a nomogram consisting of signature, age and tumor stage was constructed, and it showed good and stable predictive ability on prognosis. Our prognostic signature and nomogram provided prognostic indicators and potential immunotherapeutic targets for BCa. Further researches are needed to verify the clinical effectiveness of this nomogram and these biomarkers.
format	article
author	Hualin Chen Yang Pan Xiaoxiang Jin Gang Chen
author_facet	Hualin Chen Yang Pan Xiaoxiang Jin Gang Chen
author_sort	Hualin Chen
title	An immune cell infiltration-related gene signature predicts prognosis for bladder cancer
title_short	An immune cell infiltration-related gene signature predicts prognosis for bladder cancer
title_full	An immune cell infiltration-related gene signature predicts prognosis for bladder cancer
title_fullStr	An immune cell infiltration-related gene signature predicts prognosis for bladder cancer
title_full_unstemmed	An immune cell infiltration-related gene signature predicts prognosis for bladder cancer
title_sort	immune cell infiltration-related gene signature predicts prognosis for bladder cancer
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ee4a5c75c07b4db48d9479063373e487
work_keys_str_mv	AT hualinchen animmunecellinfiltrationrelatedgenesignaturepredictsprognosisforbladdercancer AT yangpan animmunecellinfiltrationrelatedgenesignaturepredictsprognosisforbladdercancer AT xiaoxiangjin animmunecellinfiltrationrelatedgenesignaturepredictsprognosisforbladdercancer AT gangchen animmunecellinfiltrationrelatedgenesignaturepredictsprognosisforbladdercancer AT hualinchen immunecellinfiltrationrelatedgenesignaturepredictsprognosisforbladdercancer AT yangpan immunecellinfiltrationrelatedgenesignaturepredictsprognosisforbladdercancer AT xiaoxiangjin immunecellinfiltrationrelatedgenesignaturepredictsprognosisforbladdercancer AT gangchen immunecellinfiltrationrelatedgenesignaturepredictsprognosisforbladdercancer
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An immune cell infiltration-related gene signature predicts prognosis for bladder cancer

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