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Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death. HBV infection is an important risk factor for the tumorigenesis of HCC, given that the inflammatory environment is closely related to morbidity and prognosis. Consequently, it is of urgent importance to explore the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570866/ https://www.ncbi.nlm.nih.gov/pubmed/34745496 http://dx.doi.org/10.1155/2021/3761858 |
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author | Qin, Peng Zhang, Mengyu Liu, Xue Dong, Ziming |
author_facet | Qin, Peng Zhang, Mengyu Liu, Xue Dong, Ziming |
author_sort | Qin, Peng |
collection | PubMed |
description | Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death. HBV infection is an important risk factor for the tumorigenesis of HCC, given that the inflammatory environment is closely related to morbidity and prognosis. Consequently, it is of urgent importance to explore the immunogenomic landscape to supplement the prognosis of HCC. The expression profiles of immune‐related genes (IRGs) were integrated with 377 HCC patients to generate differentially expressed IRGs based on the Cancer Genome Atlas (TCGA) dataset. These IRGs were evaluated and assessed in terms of their diagnostic and prognostic values. A total of 32 differentially expressed immune‐related genes resulted as significantly correlated with the overall survival of HCC patients. The Gene Ontology functional enrichment analysis revealed that these genes were actively involved in cytokine‐cytokine receptor interaction. A prognostic signature based on IRGs (HSPA4, PSME3, PSMD14, FABP6, ISG20L2, TRAF3, NDRG1, NRAS, CSPG5, and IL17D) stratified patients into high-risk versus low-risk groups in terms of overall survival and remained as an independent prognostic factor in multivariate analyses after adjusting for clinical and pathologic factors. Several IRGs (HSPA4, PSME3, PSMD14, FABP6, ISG20L2, TRAF3, NDRG1, NRAS, CSPG5, and IL17D) of clinical significance were screened in the present study, revealing that the proposed clinical-immune signature is a promising risk score for predicting the prognosis of HCC. |
format | Online Article Text |
id | pubmed-8570866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-85708662021-11-06 Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma Qin, Peng Zhang, Mengyu Liu, Xue Dong, Ziming J Healthc Eng Research Article Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death. HBV infection is an important risk factor for the tumorigenesis of HCC, given that the inflammatory environment is closely related to morbidity and prognosis. Consequently, it is of urgent importance to explore the immunogenomic landscape to supplement the prognosis of HCC. The expression profiles of immune‐related genes (IRGs) were integrated with 377 HCC patients to generate differentially expressed IRGs based on the Cancer Genome Atlas (TCGA) dataset. These IRGs were evaluated and assessed in terms of their diagnostic and prognostic values. A total of 32 differentially expressed immune‐related genes resulted as significantly correlated with the overall survival of HCC patients. The Gene Ontology functional enrichment analysis revealed that these genes were actively involved in cytokine‐cytokine receptor interaction. A prognostic signature based on IRGs (HSPA4, PSME3, PSMD14, FABP6, ISG20L2, TRAF3, NDRG1, NRAS, CSPG5, and IL17D) stratified patients into high-risk versus low-risk groups in terms of overall survival and remained as an independent prognostic factor in multivariate analyses after adjusting for clinical and pathologic factors. Several IRGs (HSPA4, PSME3, PSMD14, FABP6, ISG20L2, TRAF3, NDRG1, NRAS, CSPG5, and IL17D) of clinical significance were screened in the present study, revealing that the proposed clinical-immune signature is a promising risk score for predicting the prognosis of HCC. Hindawi 2021-10-29 /pmc/articles/PMC8570866/ /pubmed/34745496 http://dx.doi.org/10.1155/2021/3761858 Text en Copyright © 2021 Peng Qin et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Qin, Peng Zhang, Mengyu Liu, Xue Dong, Ziming Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma |
title | Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma |
title_full | Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma |
title_fullStr | Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma |
title_full_unstemmed | Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma |
title_short | Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma |
title_sort | immunogenomic landscape analysis of prognostic immune-related genes in hepatocellular carcinoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570866/ https://www.ncbi.nlm.nih.gov/pubmed/34745496 http://dx.doi.org/10.1155/2021/3761858 |
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