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Identification of immune-related genes that predict prognosis and risk of bladder cancer: bioinformatics analysis of TCGA database

Background: Bladder cancer (BLCA) is the major tumor of the urinary system, and immune-related genes (IRGs) contribute significantly to its initiation and prognosis. Results: A total of 51 prognostic IRGs significantly associated with overall survival were identified. Functional enrichment analysis...

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Autores principales: Guo, Liqiang, Wu, Qiong, Ma, Zhen, Yuan, Mingzhen, Zhao, Shengtian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386543/
https://www.ncbi.nlm.nih.gov/pubmed/34329197
http://dx.doi.org/10.18632/aging.203333
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author Guo, Liqiang
Wu, Qiong
Ma, Zhen
Yuan, Mingzhen
Zhao, Shengtian
author_facet Guo, Liqiang
Wu, Qiong
Ma, Zhen
Yuan, Mingzhen
Zhao, Shengtian
author_sort Guo, Liqiang
collection PubMed
description Background: Bladder cancer (BLCA) is the major tumor of the urinary system, and immune-related genes (IRGs) contribute significantly to its initiation and prognosis. Results: A total of 51 prognostic IRGs significantly associated with overall survival were identified. Functional enrichment analysis revealed that these genes were actively involved in tumor-related functions and pathways. Using multivariate Cox regression analysis, we detected 11 optimal IRGs (ADIPOQ, PPY, NAMPT, TAP1, AHNAK, OLR1, PDGFRA, IL34, MMP9, RAC3, and SH3BP2). We validated the prognostic value of this signature in two validation cohorts: GSE13507 (n = 165) and GSE32894 (n = 224). Furthermore, we performed a western blot and found that the expression of these IRGs matched their mRNA expression in TCGA. Moreover, correlations between risk score and immune-cell infiltration indicated that the prognostic signature reflected infiltration by several types of immune cells. Conclusion: We identified and validated an 11-IRG-based risk signature that may be a reliable tool to evaluate the prognosis of BLCA patients and help to devise individualized immunotherapies. Methods: Bioinformatics analysis was performed using TCGA and ImmPort databases. Cox regression was used to identify prognostic signatures. Two external GEO cohorts and western blotting of samples were performed to validate the IRG signature.
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spelling pubmed-83865432021-08-27 Identification of immune-related genes that predict prognosis and risk of bladder cancer: bioinformatics analysis of TCGA database Guo, Liqiang Wu, Qiong Ma, Zhen Yuan, Mingzhen Zhao, Shengtian Aging (Albany NY) Research Paper Background: Bladder cancer (BLCA) is the major tumor of the urinary system, and immune-related genes (IRGs) contribute significantly to its initiation and prognosis. Results: A total of 51 prognostic IRGs significantly associated with overall survival were identified. Functional enrichment analysis revealed that these genes were actively involved in tumor-related functions and pathways. Using multivariate Cox regression analysis, we detected 11 optimal IRGs (ADIPOQ, PPY, NAMPT, TAP1, AHNAK, OLR1, PDGFRA, IL34, MMP9, RAC3, and SH3BP2). We validated the prognostic value of this signature in two validation cohorts: GSE13507 (n = 165) and GSE32894 (n = 224). Furthermore, we performed a western blot and found that the expression of these IRGs matched their mRNA expression in TCGA. Moreover, correlations between risk score and immune-cell infiltration indicated that the prognostic signature reflected infiltration by several types of immune cells. Conclusion: We identified and validated an 11-IRG-based risk signature that may be a reliable tool to evaluate the prognosis of BLCA patients and help to devise individualized immunotherapies. Methods: Bioinformatics analysis was performed using TCGA and ImmPort databases. Cox regression was used to identify prognostic signatures. Two external GEO cohorts and western blotting of samples were performed to validate the IRG signature. Impact Journals 2021-07-30 /pmc/articles/PMC8386543/ /pubmed/34329197 http://dx.doi.org/10.18632/aging.203333 Text en Copyright: © 2021 Guo et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Guo, Liqiang
Wu, Qiong
Ma, Zhen
Yuan, Mingzhen
Zhao, Shengtian
Identification of immune-related genes that predict prognosis and risk of bladder cancer: bioinformatics analysis of TCGA database
title Identification of immune-related genes that predict prognosis and risk of bladder cancer: bioinformatics analysis of TCGA database
title_full Identification of immune-related genes that predict prognosis and risk of bladder cancer: bioinformatics analysis of TCGA database
title_fullStr Identification of immune-related genes that predict prognosis and risk of bladder cancer: bioinformatics analysis of TCGA database
title_full_unstemmed Identification of immune-related genes that predict prognosis and risk of bladder cancer: bioinformatics analysis of TCGA database
title_short Identification of immune-related genes that predict prognosis and risk of bladder cancer: bioinformatics analysis of TCGA database
title_sort identification of immune-related genes that predict prognosis and risk of bladder cancer: bioinformatics analysis of tcga database
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386543/
https://www.ncbi.nlm.nih.gov/pubmed/34329197
http://dx.doi.org/10.18632/aging.203333
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