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Identification and Validation of an Immune-Related eRNA Prognostic Signature for Hepatocellular Carcinoma

BACKGROUND: Enhancer RNAs (eRNAs) are intergenic long non-coding RNAs (lncRNAs) that participate in the progression of malignancies by targeting tumor-related genes and immune checkpoints. However, the potential role of eRNAs in hepatocellular carcinoma (HCC) is unclear. In this study, we aimed to c...

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Autores principales: Cai, Shenglan, Hu, Xingwang, Chen, Ruochan, Zhang, Yiya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226176/
https://www.ncbi.nlm.nih.gov/pubmed/34178028
http://dx.doi.org/10.3389/fgene.2021.657051
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author Cai, Shenglan
Hu, Xingwang
Chen, Ruochan
Zhang, Yiya
author_facet Cai, Shenglan
Hu, Xingwang
Chen, Ruochan
Zhang, Yiya
author_sort Cai, Shenglan
collection PubMed
description BACKGROUND: Enhancer RNAs (eRNAs) are intergenic long non-coding RNAs (lncRNAs) that participate in the progression of malignancies by targeting tumor-related genes and immune checkpoints. However, the potential role of eRNAs in hepatocellular carcinoma (HCC) is unclear. In this study, we aimed to construct an immune-related eRNA prognostic model that could be used to prospectively assess the prognosis of patients with HCC. METHODS: Gene expression profiles of patients with HCC were downloaded from The Cancer Genome Atlas (TCGA). The eRNAs co-expressed from immune genes were identified as immune-related eRNAs. Cox regression analyses were applied in a training cohort to construct an immune-related eRNA signature (IReRS), that was subsequently used to analyze a testing cohort and combination of the two cohorts. Kaplan-Meier and receiver operating characteristic (ROC) curves were used to validate the predictive effect in the three cohorts. Gene Set Enrishment Analysis (GSEA) computation was used to identify an IReRS-related signaling pathway. A web-based cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT) computation was used to evaluate the relationship between the IReRS and infiltrating immune cells. RESULTS: A total of sixty-four immune-related eRNAs (IReRNAs) was identified in HCC, and 14 IReRNAs were associated with overall survival (OS). Five IReRNAs were used for constructing an immune-related eRNA signature (IReRS), which was shown to correlate with poor survival and to be an independent prognostic biomarker for HCC. The GSEA results showed that the IReRS was correlated to cancer-related and immune-related pathways. Moreover, we found that IReRS was correlated to infiltrating immune cells, including CD8(+) T cells and M0 macrophages. Finally, differential expressions of the five risk IReRNAs in tumor tissues vs. adjacent normal tissues and their prognostic values were verified, in which the AL445524.1 may function as an oncogene that affects prognosis partly by regulating CD4-CLTA4 related genes. CONCLUSION: Our results suggest that the IReRS could serve as a biomarker for predicting prognosis in patients with HCC. Additionally, it may be correlated to the tumor immune microenvironment and could also be used as a biomarker in immunotherapy for HCC.
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spelling pubmed-82261762021-06-26 Identification and Validation of an Immune-Related eRNA Prognostic Signature for Hepatocellular Carcinoma Cai, Shenglan Hu, Xingwang Chen, Ruochan Zhang, Yiya Front Genet Genetics BACKGROUND: Enhancer RNAs (eRNAs) are intergenic long non-coding RNAs (lncRNAs) that participate in the progression of malignancies by targeting tumor-related genes and immune checkpoints. However, the potential role of eRNAs in hepatocellular carcinoma (HCC) is unclear. In this study, we aimed to construct an immune-related eRNA prognostic model that could be used to prospectively assess the prognosis of patients with HCC. METHODS: Gene expression profiles of patients with HCC were downloaded from The Cancer Genome Atlas (TCGA). The eRNAs co-expressed from immune genes were identified as immune-related eRNAs. Cox regression analyses were applied in a training cohort to construct an immune-related eRNA signature (IReRS), that was subsequently used to analyze a testing cohort and combination of the two cohorts. Kaplan-Meier and receiver operating characteristic (ROC) curves were used to validate the predictive effect in the three cohorts. Gene Set Enrishment Analysis (GSEA) computation was used to identify an IReRS-related signaling pathway. A web-based cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT) computation was used to evaluate the relationship between the IReRS and infiltrating immune cells. RESULTS: A total of sixty-four immune-related eRNAs (IReRNAs) was identified in HCC, and 14 IReRNAs were associated with overall survival (OS). Five IReRNAs were used for constructing an immune-related eRNA signature (IReRS), which was shown to correlate with poor survival and to be an independent prognostic biomarker for HCC. The GSEA results showed that the IReRS was correlated to cancer-related and immune-related pathways. Moreover, we found that IReRS was correlated to infiltrating immune cells, including CD8(+) T cells and M0 macrophages. Finally, differential expressions of the five risk IReRNAs in tumor tissues vs. adjacent normal tissues and their prognostic values were verified, in which the AL445524.1 may function as an oncogene that affects prognosis partly by regulating CD4-CLTA4 related genes. CONCLUSION: Our results suggest that the IReRS could serve as a biomarker for predicting prognosis in patients with HCC. Additionally, it may be correlated to the tumor immune microenvironment and could also be used as a biomarker in immunotherapy for HCC. Frontiers Media S.A. 2021-06-11 /pmc/articles/PMC8226176/ /pubmed/34178028 http://dx.doi.org/10.3389/fgene.2021.657051 Text en Copyright © 2021 Cai, Hu, Chen and Zhang. 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
Cai, Shenglan
Hu, Xingwang
Chen, Ruochan
Zhang, Yiya
Identification and Validation of an Immune-Related eRNA Prognostic Signature for Hepatocellular Carcinoma
title Identification and Validation of an Immune-Related eRNA Prognostic Signature for Hepatocellular Carcinoma
title_full Identification and Validation of an Immune-Related eRNA Prognostic Signature for Hepatocellular Carcinoma
title_fullStr Identification and Validation of an Immune-Related eRNA Prognostic Signature for Hepatocellular Carcinoma
title_full_unstemmed Identification and Validation of an Immune-Related eRNA Prognostic Signature for Hepatocellular Carcinoma
title_short Identification and Validation of an Immune-Related eRNA Prognostic Signature for Hepatocellular Carcinoma
title_sort identification and validation of an immune-related erna prognostic signature for hepatocellular carcinoma
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226176/
https://www.ncbi.nlm.nih.gov/pubmed/34178028
http://dx.doi.org/10.3389/fgene.2021.657051
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