A Robust Prognostic Gene Signature Based on eRNAs-Driven Genes in Prostate Cancer

Prostate cancer (PCa) is the second most common malignancy in men, but its exact pathogenetic mechanisms remain unclear. This study explores the effect of enhancer RNAs (eRNAs) in PCa. Firstly, we screened eRNAs and eRNA -driven genes from The Cancer Genome Atlas (TCGA) database, which are related t...

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Main Authors: Shuaishuai Fan, Zheng Wang, Li Zhao, ChenHui Zhao, DaJiang Yuan, Jingqi Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.676845/full
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author Shuaishuai Fan
Zheng Wang
Zheng Wang
Li Zhao
ChenHui Zhao
ChenHui Zhao
DaJiang Yuan
Jingqi Wang
author_facet Shuaishuai Fan
Zheng Wang
Zheng Wang
Li Zhao
ChenHui Zhao
ChenHui Zhao
DaJiang Yuan
Jingqi Wang
author_sort Shuaishuai Fan
collection DOAJ
description Prostate cancer (PCa) is the second most common malignancy in men, but its exact pathogenetic mechanisms remain unclear. This study explores the effect of enhancer RNAs (eRNAs) in PCa. Firstly, we screened eRNAs and eRNA -driven genes from The Cancer Genome Atlas (TCGA) database, which are related to the disease-free survival (DFS) of PCa patients;. screening methods included bootstrapping, Kaplan–Meier (KM) survival analysis, and Pearson correlation analysis. Then, a risk score model was established using multivariate Cox analysis, and the results were validated in three independent cohorts. Finally, we explored the function of eRNA-driven genes through enrichment analysis and analyzed drug sensitivity on datasets from the Genomics of Drug Sensitivity in Cancer database. We constructed and validated a robust prognostic gene signature involving three eRNA-driven genes namely MAPK15, ZNF467, and MC1R. Moreover, we evaluated the function of eRNA-driven genes associated with tumor microenvironment (TME) and tumor mutational burden (TMB), and identified remarkable differences in drug sensitivity between high- and low-risk groups. This study identified a prognostic gene signature, which provides new insights into the role of eRNAs and eRNA-driven genes while assisting clinicians to determine the prognosis and appropriate treatment options for patients with PCa.
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spelling doaj.art-b97c819d264d40fdbcd4b90a65dc22f92022-12-21T20:04:38ZengFrontiers Media S.A.Frontiers in Genetics1664-80212021-06-011210.3389/fgene.2021.676845676845A Robust Prognostic Gene Signature Based on eRNAs-Driven Genes in Prostate CancerShuaishuai Fan0Zheng Wang1Zheng Wang2Li Zhao3ChenHui Zhao4ChenHui Zhao5DaJiang Yuan6Jingqi Wang7First Clinical Medical College, Shanxi Medical University, First Hospital of Shanxi Medical University, Taiyuan, ChinaFirst Clinical Medical College, Shanxi Medical University, First Hospital of Shanxi Medical University, Taiyuan, ChinaPeople’s Hospital of Zezhou County, Jincheng, ChinaDepartment of Anesthesia, Shanxi Medical University, Taiyuan, ChinaFirst Clinical Medical College, Shanxi Medical University, First Hospital of Shanxi Medical University, Taiyuan, ChinaThe First People’s Hospital of Jinzhong, Jinzhong, ChinaDepartment of Anesthesia, Shanxi Medical University, Taiyuan, ChinaFirst Clinical Medical College, Shanxi Medical University, First Hospital of Shanxi Medical University, Taiyuan, ChinaProstate cancer (PCa) is the second most common malignancy in men, but its exact pathogenetic mechanisms remain unclear. This study explores the effect of enhancer RNAs (eRNAs) in PCa. Firstly, we screened eRNAs and eRNA -driven genes from The Cancer Genome Atlas (TCGA) database, which are related to the disease-free survival (DFS) of PCa patients;. screening methods included bootstrapping, Kaplan–Meier (KM) survival analysis, and Pearson correlation analysis. Then, a risk score model was established using multivariate Cox analysis, and the results were validated in three independent cohorts. Finally, we explored the function of eRNA-driven genes through enrichment analysis and analyzed drug sensitivity on datasets from the Genomics of Drug Sensitivity in Cancer database. We constructed and validated a robust prognostic gene signature involving three eRNA-driven genes namely MAPK15, ZNF467, and MC1R. Moreover, we evaluated the function of eRNA-driven genes associated with tumor microenvironment (TME) and tumor mutational burden (TMB), and identified remarkable differences in drug sensitivity between high- and low-risk groups. This study identified a prognostic gene signature, which provides new insights into the role of eRNAs and eRNA-driven genes while assisting clinicians to determine the prognosis and appropriate treatment options for patients with PCa.https://www.frontiersin.org/articles/10.3389/fgene.2021.676845/fullprostate cancerenhancer RNAprognostic gene signaturerisk score modeldrug sensitivity
spellingShingle Shuaishuai Fan
Zheng Wang
Zheng Wang
Li Zhao
ChenHui Zhao
ChenHui Zhao
DaJiang Yuan
Jingqi Wang
A Robust Prognostic Gene Signature Based on eRNAs-Driven Genes in Prostate Cancer
Frontiers in Genetics
prostate cancer
enhancer RNA
prognostic gene signature
risk score model
drug sensitivity
title A Robust Prognostic Gene Signature Based on eRNAs-Driven Genes in Prostate Cancer
title_full A Robust Prognostic Gene Signature Based on eRNAs-Driven Genes in Prostate Cancer
title_fullStr A Robust Prognostic Gene Signature Based on eRNAs-Driven Genes in Prostate Cancer
title_full_unstemmed A Robust Prognostic Gene Signature Based on eRNAs-Driven Genes in Prostate Cancer
title_short A Robust Prognostic Gene Signature Based on eRNAs-Driven Genes in Prostate Cancer
title_sort robust prognostic gene signature based on ernas driven genes in prostate cancer
topic prostate cancer
enhancer RNA
prognostic gene signature
risk score model
drug sensitivity
url https://www.frontiersin.org/articles/10.3389/fgene.2021.676845/full
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