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A costimulatory molecule-related signature in regard to evaluation of prognosis and immune features for clear cell renal cell carcinoma
Costimulatory molecules have been proven to enhance antitumor immune responses, but their roles in clear cell renal cell carcinoma (ccRCC) remain unexplored. In this study, we aimed to explore the gene expression profiles of costimulatory molecule genes in ccRCC and construct a prognostic signature...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449780/ https://www.ncbi.nlm.nih.gov/pubmed/34537809 http://dx.doi.org/10.1038/s41420-021-00646-2 |
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author | Hua, Xiaoliang Ge, Shengdong Zhang, Jiong Xiao, Haibing Tai, Sheng Yang, Cheng Zhang, Li Liang, Chaozhao |
author_facet | Hua, Xiaoliang Ge, Shengdong Zhang, Jiong Xiao, Haibing Tai, Sheng Yang, Cheng Zhang, Li Liang, Chaozhao |
author_sort | Hua, Xiaoliang |
collection | PubMed |
description | Costimulatory molecules have been proven to enhance antitumor immune responses, but their roles in clear cell renal cell carcinoma (ccRCC) remain unexplored. In this study, we aimed to explore the gene expression profiles of costimulatory molecule genes in ccRCC and construct a prognostic signature to improve treatment decision-making and clinical outcomes. We performed the first comprehensive analysis of costimulatory molecules in patients with ccRCC and identified 13 costimulatory molecule genes with prognostic values and diagnostic values. Consensus clustering analysis based on these 13 costimulatory molecular genes showed different distribution patterns and prognostic differences for the two clusters identified. Then, a costimulatory molecule-related signature was constructed based on these 13 costimulatory molecular genes, and validated in an external dataset, showing good performance for predicting a patient’s prognosis. The signature was an independent risk factor for ccRCC patients and was significantly correlated with patients’ clinical factors, which could be used as a complement for clinical factors. In addition, the signature was associated with the tumor immune microenvironment and the response to immunotherapy. Patients identified as high-risk based on our signature exhibited a high mutation frequency, a high level of immune cell infiltration, and an immunosuppressive microenvironment. High-risk patients tended to have high cytolytic activity scores and immunophenoscore of CTLA4 and PD1/PD-L1/PD-L2 blocker than low-risk patients, suggesting these patients may be more suitable for immunotherapy. Therefore, our signature could provide clinicians with prognosis predictions and help guide treatment for ccRCC patients. |
format | Online Article Text |
id | pubmed-8449780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84497802021-10-05 A costimulatory molecule-related signature in regard to evaluation of prognosis and immune features for clear cell renal cell carcinoma Hua, Xiaoliang Ge, Shengdong Zhang, Jiong Xiao, Haibing Tai, Sheng Yang, Cheng Zhang, Li Liang, Chaozhao Cell Death Discov Article Costimulatory molecules have been proven to enhance antitumor immune responses, but their roles in clear cell renal cell carcinoma (ccRCC) remain unexplored. In this study, we aimed to explore the gene expression profiles of costimulatory molecule genes in ccRCC and construct a prognostic signature to improve treatment decision-making and clinical outcomes. We performed the first comprehensive analysis of costimulatory molecules in patients with ccRCC and identified 13 costimulatory molecule genes with prognostic values and diagnostic values. Consensus clustering analysis based on these 13 costimulatory molecular genes showed different distribution patterns and prognostic differences for the two clusters identified. Then, a costimulatory molecule-related signature was constructed based on these 13 costimulatory molecular genes, and validated in an external dataset, showing good performance for predicting a patient’s prognosis. The signature was an independent risk factor for ccRCC patients and was significantly correlated with patients’ clinical factors, which could be used as a complement for clinical factors. In addition, the signature was associated with the tumor immune microenvironment and the response to immunotherapy. Patients identified as high-risk based on our signature exhibited a high mutation frequency, a high level of immune cell infiltration, and an immunosuppressive microenvironment. High-risk patients tended to have high cytolytic activity scores and immunophenoscore of CTLA4 and PD1/PD-L1/PD-L2 blocker than low-risk patients, suggesting these patients may be more suitable for immunotherapy. Therefore, our signature could provide clinicians with prognosis predictions and help guide treatment for ccRCC patients. Nature Publishing Group UK 2021-09-18 /pmc/articles/PMC8449780/ /pubmed/34537809 http://dx.doi.org/10.1038/s41420-021-00646-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hua, Xiaoliang Ge, Shengdong Zhang, Jiong Xiao, Haibing Tai, Sheng Yang, Cheng Zhang, Li Liang, Chaozhao A costimulatory molecule-related signature in regard to evaluation of prognosis and immune features for clear cell renal cell carcinoma |
title | A costimulatory molecule-related signature in regard to evaluation of prognosis and immune features for clear cell renal cell carcinoma |
title_full | A costimulatory molecule-related signature in regard to evaluation of prognosis and immune features for clear cell renal cell carcinoma |
title_fullStr | A costimulatory molecule-related signature in regard to evaluation of prognosis and immune features for clear cell renal cell carcinoma |
title_full_unstemmed | A costimulatory molecule-related signature in regard to evaluation of prognosis and immune features for clear cell renal cell carcinoma |
title_short | A costimulatory molecule-related signature in regard to evaluation of prognosis and immune features for clear cell renal cell carcinoma |
title_sort | costimulatory molecule-related signature in regard to evaluation of prognosis and immune features for clear cell renal cell carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449780/ https://www.ncbi.nlm.nih.gov/pubmed/34537809 http://dx.doi.org/10.1038/s41420-021-00646-2 |
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