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Identification of prognostic immune cells and potential immune-related markers in hepatocellular carcinoma

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common and deadly tumors worldwide. Immunotherapy has emerged as a promising strategy for HCC treatment, and understanding the immune microenvironment of HCC provides a theoretical basis for identifying new immune targets. However, the ro...

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Autores principales: Mai, Jialuo, Hua, Xuefeng, Bian, Zhen-Hua, Xia, Yu, Zhao, Zhi-Bin, Lu, Minqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372241/
https://www.ncbi.nlm.nih.gov/pubmed/35966304
http://dx.doi.org/10.21037/tcr-22-19
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author Mai, Jialuo
Hua, Xuefeng
Bian, Zhen-Hua
Xia, Yu
Zhao, Zhi-Bin
Lu, Minqiang
author_facet Mai, Jialuo
Hua, Xuefeng
Bian, Zhen-Hua
Xia, Yu
Zhao, Zhi-Bin
Lu, Minqiang
author_sort Mai, Jialuo
collection PubMed
description BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common and deadly tumors worldwide. Immunotherapy has emerged as a promising strategy for HCC treatment, and understanding the immune microenvironment of HCC provides a theoretical basis for identifying new immune targets. However, the roles of immune components and their regulatory mechanisms in HCC require further clarified. METHODS: By analyzing HCC expression profiles from The Cancer Genome Atlas (TCGA) database, we depicted the proportion profile of immune cells for each sample using the software CIBERSORTx. Using R packages, we also characterized the distribution of differentially expressed genes (DEGs) in immune cells, calculated the correlation coefficient between immune cells and common DEGs, and analyzed their biology function by Gene-Ontology analysis. RESULTS: We found that seven immune cell types were related to the overall survival of HCC patients, and identified 3,692 differentially expressed immune-related genes, predominantly functioning in nucleic acid processing and metabolism. Moreover, 14 DEGs were identified as common candidates related to immune cells and overall survival. CONCLUSIONS: Our study not only presents an overview of the immune features of the microenvironment of HCC, but also provides potential targets related to immune components.
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spelling pubmed-93722412022-08-13 Identification of prognostic immune cells and potential immune-related markers in hepatocellular carcinoma Mai, Jialuo Hua, Xuefeng Bian, Zhen-Hua Xia, Yu Zhao, Zhi-Bin Lu, Minqiang Transl Cancer Res Original Article BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common and deadly tumors worldwide. Immunotherapy has emerged as a promising strategy for HCC treatment, and understanding the immune microenvironment of HCC provides a theoretical basis for identifying new immune targets. However, the roles of immune components and their regulatory mechanisms in HCC require further clarified. METHODS: By analyzing HCC expression profiles from The Cancer Genome Atlas (TCGA) database, we depicted the proportion profile of immune cells for each sample using the software CIBERSORTx. Using R packages, we also characterized the distribution of differentially expressed genes (DEGs) in immune cells, calculated the correlation coefficient between immune cells and common DEGs, and analyzed their biology function by Gene-Ontology analysis. RESULTS: We found that seven immune cell types were related to the overall survival of HCC patients, and identified 3,692 differentially expressed immune-related genes, predominantly functioning in nucleic acid processing and metabolism. Moreover, 14 DEGs were identified as common candidates related to immune cells and overall survival. CONCLUSIONS: Our study not only presents an overview of the immune features of the microenvironment of HCC, but also provides potential targets related to immune components. AME Publishing Company 2022-07 /pmc/articles/PMC9372241/ /pubmed/35966304 http://dx.doi.org/10.21037/tcr-22-19 Text en 2022 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Mai, Jialuo
Hua, Xuefeng
Bian, Zhen-Hua
Xia, Yu
Zhao, Zhi-Bin
Lu, Minqiang
Identification of prognostic immune cells and potential immune-related markers in hepatocellular carcinoma
title Identification of prognostic immune cells and potential immune-related markers in hepatocellular carcinoma
title_full Identification of prognostic immune cells and potential immune-related markers in hepatocellular carcinoma
title_fullStr Identification of prognostic immune cells and potential immune-related markers in hepatocellular carcinoma
title_full_unstemmed Identification of prognostic immune cells and potential immune-related markers in hepatocellular carcinoma
title_short Identification of prognostic immune cells and potential immune-related markers in hepatocellular carcinoma
title_sort identification of prognostic immune cells and potential immune-related markers in hepatocellular carcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372241/
https://www.ncbi.nlm.nih.gov/pubmed/35966304
http://dx.doi.org/10.21037/tcr-22-19
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