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Development of a prognostic signature for bladder cancer based on immune-related genes
BACKGROUND: Although the prognosis of patients with bladder cancer (BC) has improved significantly with the use of multimodal therapy, reliable prognostic biomarkers are still urgently needed due to the heterogeneity of tumors. Our aim was to develop an individualized immune-related gene pair (IRGP)...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723522/ https://www.ncbi.nlm.nih.gov/pubmed/33313125 http://dx.doi.org/10.21037/atm-20-1102 |
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author | Shi, Ying-Rui Xiong, Kun Ye, Xu Yang, Pei Wu, Zheng Zu, Xiong-Bing |
author_facet | Shi, Ying-Rui Xiong, Kun Ye, Xu Yang, Pei Wu, Zheng Zu, Xiong-Bing |
author_sort | Shi, Ying-Rui |
collection | PubMed |
description | BACKGROUND: Although the prognosis of patients with bladder cancer (BC) has improved significantly with the use of multimodal therapy, reliable prognostic biomarkers are still urgently needed due to the heterogeneity of tumors. Our aim was to develop an individualized immune-related gene pair (IRGP) signature that could precisely predict prognosis in BC patients. METHODS: Gene expression profiles and corresponding clinical information were collected from eight microarray data sets and one RNA-Seq data set. RESULTS: Among 1,811 immune genes, a 30-IRGP signature consisting of 52 unique genes was generated in the training cohort, which significantly stratified patients into low- and high-risk groups in terms of overall survival. In the testing and validation cohorts, the IRGP signature was also associated with patient prognosis in the univariate and multivariate Cox regression analyses. Several biological processes, including the immune response, chemotaxis, and the inflammatory response, were enriched among genes in the IRGP signature. When the signature was integrated with the TNM stage, an IRGP nomogram was developed and showed improved prognostic accuracy relative to the IRGP signature alone. CONCLUSIONS: In short, we identified a robust IRGP signature for estimating overall survival in BC patients that could also be used as a promising biomarker for identifying high-risk patients for individualized therapy. |
format | Online Article Text |
id | pubmed-7723522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-77235222020-12-10 Development of a prognostic signature for bladder cancer based on immune-related genes Shi, Ying-Rui Xiong, Kun Ye, Xu Yang, Pei Wu, Zheng Zu, Xiong-Bing Ann Transl Med Original Article BACKGROUND: Although the prognosis of patients with bladder cancer (BC) has improved significantly with the use of multimodal therapy, reliable prognostic biomarkers are still urgently needed due to the heterogeneity of tumors. Our aim was to develop an individualized immune-related gene pair (IRGP) signature that could precisely predict prognosis in BC patients. METHODS: Gene expression profiles and corresponding clinical information were collected from eight microarray data sets and one RNA-Seq data set. RESULTS: Among 1,811 immune genes, a 30-IRGP signature consisting of 52 unique genes was generated in the training cohort, which significantly stratified patients into low- and high-risk groups in terms of overall survival. In the testing and validation cohorts, the IRGP signature was also associated with patient prognosis in the univariate and multivariate Cox regression analyses. Several biological processes, including the immune response, chemotaxis, and the inflammatory response, were enriched among genes in the IRGP signature. When the signature was integrated with the TNM stage, an IRGP nomogram was developed and showed improved prognostic accuracy relative to the IRGP signature alone. CONCLUSIONS: In short, we identified a robust IRGP signature for estimating overall survival in BC patients that could also be used as a promising biomarker for identifying high-risk patients for individualized therapy. AME Publishing Company 2020-11 /pmc/articles/PMC7723522/ /pubmed/33313125 http://dx.doi.org/10.21037/atm-20-1102 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Shi, Ying-Rui Xiong, Kun Ye, Xu Yang, Pei Wu, Zheng Zu, Xiong-Bing Development of a prognostic signature for bladder cancer based on immune-related genes |
title | Development of a prognostic signature for bladder cancer based on immune-related genes |
title_full | Development of a prognostic signature for bladder cancer based on immune-related genes |
title_fullStr | Development of a prognostic signature for bladder cancer based on immune-related genes |
title_full_unstemmed | Development of a prognostic signature for bladder cancer based on immune-related genes |
title_short | Development of a prognostic signature for bladder cancer based on immune-related genes |
title_sort | development of a prognostic signature for bladder cancer based on immune-related genes |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723522/ https://www.ncbi.nlm.nih.gov/pubmed/33313125 http://dx.doi.org/10.21037/atm-20-1102 |
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