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Multi-omic analyses of hepatocellular carcinoma to determine immunological characteristics and key nodes in gene-expression network

Hepatocellular carcinoma (HCC) is a common malignant tumor worldwide, but effective immunotherapy is still limited for those affected. Therefore, there is an urgent need to explore the specific mechanisms governing tumor immunity to improve the survival rate for those diagnosed with HCC. In the pres...

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Detalles Bibliográficos
Autores principales: Wang, Zhihui, Zhang, Shuijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276092/
https://www.ncbi.nlm.nih.gov/pubmed/34212175
http://dx.doi.org/10.1042/BSR20211241
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author Wang, Zhihui
Zhang, Shuijun
author_facet Wang, Zhihui
Zhang, Shuijun
author_sort Wang, Zhihui
collection PubMed
description Hepatocellular carcinoma (HCC) is a common malignant tumor worldwide, but effective immunotherapy is still limited for those affected. Therefore, there is an urgent need to explore the specific mechanisms governing tumor immunity to improve the survival rate for those diagnosed with HCC. In the present study, we performed a new immune stratification of HCC samples into two subclasses (A and B) from The Cancer Genome Atlas and the International Cancer Genome Consortium databases, and comprehensive multi-omic analyses of major histocompatibility complex genes, gene copy-number variations, somatic mutations, DNA methylation, and non-coding RNAs. Subclass A was found to have a higher survival rate compared with subclass B, and there were significant immunological differences between the two clusters. Based on these differences, we identified DRD1 and MYCN as key hub genes in the immune-phenotype gene expression regulatory network. These results provide novel ideas and evidence for HCC regulatory mechanisms that may improve immunotherapy for this cancer.
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spelling pubmed-82760922021-07-26 Multi-omic analyses of hepatocellular carcinoma to determine immunological characteristics and key nodes in gene-expression network Wang, Zhihui Zhang, Shuijun Biosci Rep Cancer Hepatocellular carcinoma (HCC) is a common malignant tumor worldwide, but effective immunotherapy is still limited for those affected. Therefore, there is an urgent need to explore the specific mechanisms governing tumor immunity to improve the survival rate for those diagnosed with HCC. In the present study, we performed a new immune stratification of HCC samples into two subclasses (A and B) from The Cancer Genome Atlas and the International Cancer Genome Consortium databases, and comprehensive multi-omic analyses of major histocompatibility complex genes, gene copy-number variations, somatic mutations, DNA methylation, and non-coding RNAs. Subclass A was found to have a higher survival rate compared with subclass B, and there were significant immunological differences between the two clusters. Based on these differences, we identified DRD1 and MYCN as key hub genes in the immune-phenotype gene expression regulatory network. These results provide novel ideas and evidence for HCC regulatory mechanisms that may improve immunotherapy for this cancer. Portland Press Ltd. 2021-07-12 /pmc/articles/PMC8276092/ /pubmed/34212175 http://dx.doi.org/10.1042/BSR20211241 Text en © 2021 The Author(s). https://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Cancer
Wang, Zhihui
Zhang, Shuijun
Multi-omic analyses of hepatocellular carcinoma to determine immunological characteristics and key nodes in gene-expression network
title Multi-omic analyses of hepatocellular carcinoma to determine immunological characteristics and key nodes in gene-expression network
title_full Multi-omic analyses of hepatocellular carcinoma to determine immunological characteristics and key nodes in gene-expression network
title_fullStr Multi-omic analyses of hepatocellular carcinoma to determine immunological characteristics and key nodes in gene-expression network
title_full_unstemmed Multi-omic analyses of hepatocellular carcinoma to determine immunological characteristics and key nodes in gene-expression network
title_short Multi-omic analyses of hepatocellular carcinoma to determine immunological characteristics and key nodes in gene-expression network
title_sort multi-omic analyses of hepatocellular carcinoma to determine immunological characteristics and key nodes in gene-expression network
topic Cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276092/
https://www.ncbi.nlm.nih.gov/pubmed/34212175
http://dx.doi.org/10.1042/BSR20211241
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