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A novel immune-related gene signature predicts the prognosis of hepatocellular carcinoma
Immune-related genes play a key role in regulating the cancer immune microenvironment, influencing the overall survival of patients with hepatocellular carcinoma (HCC). Along with the rapid development of immunotherapy, identifying immune-related genes with prognostic value in HCC has attracted incr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520462/ https://www.ncbi.nlm.nih.gov/pubmed/36185203 http://dx.doi.org/10.3389/fonc.2022.955192 |
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author | He, Shujiao Qiao, Jingqiao Wang, Lei Yu, Li |
author_facet | He, Shujiao Qiao, Jingqiao Wang, Lei Yu, Li |
author_sort | He, Shujiao |
collection | PubMed |
description | Immune-related genes play a key role in regulating the cancer immune microenvironment, influencing the overall survival of patients with hepatocellular carcinoma (HCC). Along with the rapid development of immunotherapy, identifying immune-related genes with prognostic value in HCC has attracted increasing attention. Here, we aimed to develop a prognostic signature based on immune-related genes. By investigating the transcriptome landscape of 374 HCC and 160 non-HCC samples in silico, a total of 2251 differentially expressed genes were identified. Among which, 183 differentially expressed immune-related genes were subjected to a univariate Cox proportional hazard model to screen for genes with possible prognostic significance. A 10-gene prognostic signature, including HLA-G, S100A9, S100A10, DCK, CCL14, NRAS, EPO, IL1RN, GHR and RHOA, was generated employing a multivariate Cox proportional hazard model. Kaplan–Meier and Receiver Operator Characteristic (ROC) curves were used to evaluate the prognostic utility of the 10-gene signature. Moreover, the underlying mechanisms of these genes were analyzed via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. According to the Tumor Immune Estimation Resource (TIMER) database, our prognostic signature was significantly associated with tumor-infiltrating B cells, CD4 T cells, dendritic cells, macrophages and neutrophils. Our study provides a novel prognostic signature based on immune-related genes associated with clinical outco mes of HCC. |
format | Online Article Text |
id | pubmed-9520462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95204622022-09-30 A novel immune-related gene signature predicts the prognosis of hepatocellular carcinoma He, Shujiao Qiao, Jingqiao Wang, Lei Yu, Li Front Oncol Oncology Immune-related genes play a key role in regulating the cancer immune microenvironment, influencing the overall survival of patients with hepatocellular carcinoma (HCC). Along with the rapid development of immunotherapy, identifying immune-related genes with prognostic value in HCC has attracted increasing attention. Here, we aimed to develop a prognostic signature based on immune-related genes. By investigating the transcriptome landscape of 374 HCC and 160 non-HCC samples in silico, a total of 2251 differentially expressed genes were identified. Among which, 183 differentially expressed immune-related genes were subjected to a univariate Cox proportional hazard model to screen for genes with possible prognostic significance. A 10-gene prognostic signature, including HLA-G, S100A9, S100A10, DCK, CCL14, NRAS, EPO, IL1RN, GHR and RHOA, was generated employing a multivariate Cox proportional hazard model. Kaplan–Meier and Receiver Operator Characteristic (ROC) curves were used to evaluate the prognostic utility of the 10-gene signature. Moreover, the underlying mechanisms of these genes were analyzed via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. According to the Tumor Immune Estimation Resource (TIMER) database, our prognostic signature was significantly associated with tumor-infiltrating B cells, CD4 T cells, dendritic cells, macrophages and neutrophils. Our study provides a novel prognostic signature based on immune-related genes associated with clinical outco mes of HCC. Frontiers Media S.A. 2022-09-15 /pmc/articles/PMC9520462/ /pubmed/36185203 http://dx.doi.org/10.3389/fonc.2022.955192 Text en Copyright © 2022 He, Qiao, Wang and Yu 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 | Oncology He, Shujiao Qiao, Jingqiao Wang, Lei Yu, Li A novel immune-related gene signature predicts the prognosis of hepatocellular carcinoma |
title | A novel immune-related gene signature predicts the prognosis of hepatocellular carcinoma |
title_full | A novel immune-related gene signature predicts the prognosis of hepatocellular carcinoma |
title_fullStr | A novel immune-related gene signature predicts the prognosis of hepatocellular carcinoma |
title_full_unstemmed | A novel immune-related gene signature predicts the prognosis of hepatocellular carcinoma |
title_short | A novel immune-related gene signature predicts the prognosis of hepatocellular carcinoma |
title_sort | novel immune-related gene signature predicts the prognosis of hepatocellular carcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520462/ https://www.ncbi.nlm.nih.gov/pubmed/36185203 http://dx.doi.org/10.3389/fonc.2022.955192 |
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