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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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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. |
format | Online Article Text |
id | pubmed-8386543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
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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