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Immune-related gene risk score predicting the effect of immunotherapy and prognosis in bladder cancer patients
Background: Immune checkpoint inhibitor therapy has changed the treatment model of metastatic bladder cancer. However, only approximately 20% of patients benefit from this therapy, and robust biomarkers to predict the effect of immunotherapy are still lacking. In this study, we aimed to investigate...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577248/ https://www.ncbi.nlm.nih.gov/pubmed/36267410 http://dx.doi.org/10.3389/fgene.2022.1011390 |
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author | Zou, Yuantao Yuan, Gangjun Tan, Xingliang Luo, Sihao Yang, Cong Tang, Yi Wang, Yanjun Yao, Kai |
author_facet | Zou, Yuantao Yuan, Gangjun Tan, Xingliang Luo, Sihao Yang, Cong Tang, Yi Wang, Yanjun Yao, Kai |
author_sort | Zou, Yuantao |
collection | PubMed |
description | Background: Immune checkpoint inhibitor therapy has changed the treatment model of metastatic bladder cancer. However, only approximately 20% of patients benefit from this therapy, and robust biomarkers to predict the effect of immunotherapy are still lacking. In this study, we aimed to investigate whether immune-related genes could be indicators for the prognosis of bladder cancer patients and the effect of immunotherapy. Methods: Based on bladder cancer dataset from the Cancer Genome Atlas (TCGA) and GSE48075, 22 immune microenvironment-related cells were identified by CIBERSORT. After performing a series of bioinformatic and machine learning approaches, we identified distinct tumor microenvironment clusters and three bladder cancer specific immune-related genes (EGFR, OAS1 and MST1R). Then, we constructed immune-related gene risk score (IRGRS) by using the Cox regression method and validated it with the IMvigor210 dataset. Results: IRGRS-high patients had a worse overall survival than IRGRS-low patients, which was consistent with the result in the IMvigor210 dataset. Comprehensive analysis shows that patients with high IRGRS scores are mainly enriched in basal/squamous type (Ba/Sq), and tumor metabolism-related pathways are more Active, with higher TP53 and RB1 gene mutation rates, lower CD4+/CD8+ T cell infiltration, higher M0 macrophage infiltration, and lower immunotherapy efficacy. In contrast, Patients with low IRGRS scores are mainly enriched in the luminal papillary type (LumP), which is associated with the activation of IL-17 and TNF signaling pathways, higher mutation rates of FGFR3 and CDKN1A genes, higher CD4+/CD8+ T cell infiltration content, and The level of M0 macrophage infiltration was relatively low, and the immunotherapy was more probably effective. Conclusion: Our study constructed an IRGRS for bladder cancer and clarified the immune and molecular characteristics of IRGRS-defined subgroups of bladder cancer to investigate the association between IRGRS and its potential implications for prognosis and immunotherapy. |
format | Online Article Text |
id | pubmed-9577248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95772482022-10-19 Immune-related gene risk score predicting the effect of immunotherapy and prognosis in bladder cancer patients Zou, Yuantao Yuan, Gangjun Tan, Xingliang Luo, Sihao Yang, Cong Tang, Yi Wang, Yanjun Yao, Kai Front Genet Genetics Background: Immune checkpoint inhibitor therapy has changed the treatment model of metastatic bladder cancer. However, only approximately 20% of patients benefit from this therapy, and robust biomarkers to predict the effect of immunotherapy are still lacking. In this study, we aimed to investigate whether immune-related genes could be indicators for the prognosis of bladder cancer patients and the effect of immunotherapy. Methods: Based on bladder cancer dataset from the Cancer Genome Atlas (TCGA) and GSE48075, 22 immune microenvironment-related cells were identified by CIBERSORT. After performing a series of bioinformatic and machine learning approaches, we identified distinct tumor microenvironment clusters and three bladder cancer specific immune-related genes (EGFR, OAS1 and MST1R). Then, we constructed immune-related gene risk score (IRGRS) by using the Cox regression method and validated it with the IMvigor210 dataset. Results: IRGRS-high patients had a worse overall survival than IRGRS-low patients, which was consistent with the result in the IMvigor210 dataset. Comprehensive analysis shows that patients with high IRGRS scores are mainly enriched in basal/squamous type (Ba/Sq), and tumor metabolism-related pathways are more Active, with higher TP53 and RB1 gene mutation rates, lower CD4+/CD8+ T cell infiltration, higher M0 macrophage infiltration, and lower immunotherapy efficacy. In contrast, Patients with low IRGRS scores are mainly enriched in the luminal papillary type (LumP), which is associated with the activation of IL-17 and TNF signaling pathways, higher mutation rates of FGFR3 and CDKN1A genes, higher CD4+/CD8+ T cell infiltration content, and The level of M0 macrophage infiltration was relatively low, and the immunotherapy was more probably effective. Conclusion: Our study constructed an IRGRS for bladder cancer and clarified the immune and molecular characteristics of IRGRS-defined subgroups of bladder cancer to investigate the association between IRGRS and its potential implications for prognosis and immunotherapy. Frontiers Media S.A. 2022-10-04 /pmc/articles/PMC9577248/ /pubmed/36267410 http://dx.doi.org/10.3389/fgene.2022.1011390 Text en Copyright © 2022 Zou, Yuan, Tan, Luo, Yang, Tang, Wang and Yao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Zou, Yuantao Yuan, Gangjun Tan, Xingliang Luo, Sihao Yang, Cong Tang, Yi Wang, Yanjun Yao, Kai Immune-related gene risk score predicting the effect of immunotherapy and prognosis in bladder cancer patients |
title | Immune-related gene risk score predicting the effect of immunotherapy and prognosis in bladder cancer patients |
title_full | Immune-related gene risk score predicting the effect of immunotherapy and prognosis in bladder cancer patients |
title_fullStr | Immune-related gene risk score predicting the effect of immunotherapy and prognosis in bladder cancer patients |
title_full_unstemmed | Immune-related gene risk score predicting the effect of immunotherapy and prognosis in bladder cancer patients |
title_short | Immune-related gene risk score predicting the effect of immunotherapy and prognosis in bladder cancer patients |
title_sort | immune-related gene risk score predicting the effect of immunotherapy and prognosis in bladder cancer patients |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577248/ https://www.ncbi.nlm.nih.gov/pubmed/36267410 http://dx.doi.org/10.3389/fgene.2022.1011390 |
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