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Identification of an immune-related risk signature for predicting prognosis in clear cell renal cell carcinoma
Immune status affects the initiation and progression of clear cell renal cell carcinoma (ccRCC), the most common subtype of renal cell carcinoma. In this study, we identified an immune-related, five-gene signature that improves survival prediction in ccRCC. Patients were classified as high- and low-...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7041771/ https://www.ncbi.nlm.nih.gov/pubmed/32028264 http://dx.doi.org/10.18632/aging.102746 |
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author | Hua, Xiaoliang Chen, Juan Su, Yang Liang, Chaozhao |
author_facet | Hua, Xiaoliang Chen, Juan Su, Yang Liang, Chaozhao |
author_sort | Hua, Xiaoliang |
collection | PubMed |
description | Immune status affects the initiation and progression of clear cell renal cell carcinoma (ccRCC), the most common subtype of renal cell carcinoma. In this study, we identified an immune-related, five-gene signature that improves survival prediction in ccRCC. Patients were classified as high- and low-risk based on the signature risk score. Survival analysis showed differential prognosis, while principal component analysis revealed distinctly different immune phenotypes between the two risk groups. High-risk patients tended to have advanced stage, higher grade disease, and poorer prognoses. Functional enrichment analysis showed that the signature genes were mainly involved in the cytokine-cytokine receptor interaction pathway. Moreover, we found that tumors from high-risk patients had higher relative abundance of T follicular helper cells, regulatory T cells, and M0 macrophages, and higher expression of PD-1, CTLA-4, LAG3, and CD47 than low-risk patients. This suggests our gene signature may not only serve as an indicator of tumor immune status, but may be a promising tool to select high-risk patients who may benefit from immune checkpoint inhibitor therapy. Multivariate Cox regression analysis showed that the signature remained an independent prognostic factor after adjusting for clinicopathological variables, while prognostic accuracy was further improved after integrating clinical parameters into the analysis. |
format | Online Article Text |
id | pubmed-7041771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-70417712020-03-04 Identification of an immune-related risk signature for predicting prognosis in clear cell renal cell carcinoma Hua, Xiaoliang Chen, Juan Su, Yang Liang, Chaozhao Aging (Albany NY) Research Paper Immune status affects the initiation and progression of clear cell renal cell carcinoma (ccRCC), the most common subtype of renal cell carcinoma. In this study, we identified an immune-related, five-gene signature that improves survival prediction in ccRCC. Patients were classified as high- and low-risk based on the signature risk score. Survival analysis showed differential prognosis, while principal component analysis revealed distinctly different immune phenotypes between the two risk groups. High-risk patients tended to have advanced stage, higher grade disease, and poorer prognoses. Functional enrichment analysis showed that the signature genes were mainly involved in the cytokine-cytokine receptor interaction pathway. Moreover, we found that tumors from high-risk patients had higher relative abundance of T follicular helper cells, regulatory T cells, and M0 macrophages, and higher expression of PD-1, CTLA-4, LAG3, and CD47 than low-risk patients. This suggests our gene signature may not only serve as an indicator of tumor immune status, but may be a promising tool to select high-risk patients who may benefit from immune checkpoint inhibitor therapy. Multivariate Cox regression analysis showed that the signature remained an independent prognostic factor after adjusting for clinicopathological variables, while prognostic accuracy was further improved after integrating clinical parameters into the analysis. Impact Journals 2020-02-06 /pmc/articles/PMC7041771/ /pubmed/32028264 http://dx.doi.org/10.18632/aging.102746 Text en Copyright © 2020 Hua et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (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 Hua, Xiaoliang Chen, Juan Su, Yang Liang, Chaozhao Identification of an immune-related risk signature for predicting prognosis in clear cell renal cell carcinoma |
title | Identification of an immune-related risk signature for predicting prognosis in clear cell renal cell carcinoma |
title_full | Identification of an immune-related risk signature for predicting prognosis in clear cell renal cell carcinoma |
title_fullStr | Identification of an immune-related risk signature for predicting prognosis in clear cell renal cell carcinoma |
title_full_unstemmed | Identification of an immune-related risk signature for predicting prognosis in clear cell renal cell carcinoma |
title_short | Identification of an immune-related risk signature for predicting prognosis in clear cell renal cell carcinoma |
title_sort | identification of an immune-related risk signature for predicting prognosis in clear cell renal cell carcinoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7041771/ https://www.ncbi.nlm.nih.gov/pubmed/32028264 http://dx.doi.org/10.18632/aging.102746 |
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