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Identification of a Costimulatory Molecule-Related Signature for Predicting Prognostic Risk in Prostate Cancer
Costimulatory molecules have been proven to enhance antitumor immune responses, but their roles in prostate cancer (PCa) remain unexplored. In this study, we aimed to explore the gene expression profiles of costimulatory molecule genes in PCa and construct a prognostic signature to improve treatment...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8415313/ https://www.ncbi.nlm.nih.gov/pubmed/34484286 http://dx.doi.org/10.3389/fgene.2021.666300 |
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author | Ge, Shengdong Hua, Xiaoliang Chen, Juan Xiao, Haibing Zhang, Li Zhou, Jun Liang, Chaozhao Tai, Sheng |
author_facet | Ge, Shengdong Hua, Xiaoliang Chen, Juan Xiao, Haibing Zhang, Li Zhou, Jun Liang, Chaozhao Tai, Sheng |
author_sort | Ge, Shengdong |
collection | PubMed |
description | Costimulatory molecules have been proven to enhance antitumor immune responses, but their roles in prostate cancer (PCa) remain unexplored. In this study, we aimed to explore the gene expression profiles of costimulatory molecule genes in PCa and construct a prognostic signature to improve treatment decision making and clinical outcomes. Five prognosis-related costimulatory molecule genes (RELT, TNFRSF25, EDA2R, TNFSF18, and TNFSF10) were identified, and a prognostic signature was constructed based on these five genes. This signature was an independent prognostic factor according to multivariate Cox regression analysis; it could stratify PCa patients into two subgroups with different prognoses and was highly associated with clinical features. The prognostic significance of the signature was well validated in four different independent external datasets. Moreover, patients identified as high risk based on our prognostic signature exhibited a high mutation frequency, a high level of immune cell infiltration and an immunosuppressive microenvironment. Therefore, our signature could provide clinicians with prognosis predictions and help guide treatment for PCa patients. |
format | Online Article Text |
id | pubmed-8415313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84153132021-09-04 Identification of a Costimulatory Molecule-Related Signature for Predicting Prognostic Risk in Prostate Cancer Ge, Shengdong Hua, Xiaoliang Chen, Juan Xiao, Haibing Zhang, Li Zhou, Jun Liang, Chaozhao Tai, Sheng Front Genet Genetics Costimulatory molecules have been proven to enhance antitumor immune responses, but their roles in prostate cancer (PCa) remain unexplored. In this study, we aimed to explore the gene expression profiles of costimulatory molecule genes in PCa and construct a prognostic signature to improve treatment decision making and clinical outcomes. Five prognosis-related costimulatory molecule genes (RELT, TNFRSF25, EDA2R, TNFSF18, and TNFSF10) were identified, and a prognostic signature was constructed based on these five genes. This signature was an independent prognostic factor according to multivariate Cox regression analysis; it could stratify PCa patients into two subgroups with different prognoses and was highly associated with clinical features. The prognostic significance of the signature was well validated in four different independent external datasets. Moreover, patients identified as high risk based on our prognostic signature exhibited a high mutation frequency, a high level of immune cell infiltration and an immunosuppressive microenvironment. Therefore, our signature could provide clinicians with prognosis predictions and help guide treatment for PCa patients. Frontiers Media S.A. 2021-08-16 /pmc/articles/PMC8415313/ /pubmed/34484286 http://dx.doi.org/10.3389/fgene.2021.666300 Text en Copyright © 2021 Ge, Hua, Chen, Xiao, Zhang, Zhou, Liang and Tai. 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 Ge, Shengdong Hua, Xiaoliang Chen, Juan Xiao, Haibing Zhang, Li Zhou, Jun Liang, Chaozhao Tai, Sheng Identification of a Costimulatory Molecule-Related Signature for Predicting Prognostic Risk in Prostate Cancer |
title | Identification of a Costimulatory Molecule-Related Signature for Predicting Prognostic Risk in Prostate Cancer |
title_full | Identification of a Costimulatory Molecule-Related Signature for Predicting Prognostic Risk in Prostate Cancer |
title_fullStr | Identification of a Costimulatory Molecule-Related Signature for Predicting Prognostic Risk in Prostate Cancer |
title_full_unstemmed | Identification of a Costimulatory Molecule-Related Signature for Predicting Prognostic Risk in Prostate Cancer |
title_short | Identification of a Costimulatory Molecule-Related Signature for Predicting Prognostic Risk in Prostate Cancer |
title_sort | identification of a costimulatory molecule-related signature for predicting prognostic risk in prostate cancer |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8415313/ https://www.ncbi.nlm.nih.gov/pubmed/34484286 http://dx.doi.org/10.3389/fgene.2021.666300 |
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