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N6-Methyladenine-Related Signature for Immune Microenvironment and Response to Immunotherapy in Hepatocellular Carcinoma

BACKGROUND: The prognostic value of m6A-related genes in hepatocellular carcinoma (HCC) and its correlation with the immune microenvironment still requires further investigation. METHODS: Consensus clustering by m6A related genes was used to classify 374 patients with HCC from The Cancer Genome Atla...

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Autores principales: Ren, Shao-hua, Qin, Ya-fei, Qin, Hong, Wang, Hong-da, Li, Guang-ming, Zhu, Yang-lin, Sun, Cheng-lu, Shao, Bo, Zhang, Jing-yi, Hao, Jing-peng, Wang, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978579/
https://www.ncbi.nlm.nih.gov/pubmed/35386863
http://dx.doi.org/10.2147/IJGM.S351815
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author Ren, Shao-hua
Qin, Ya-fei
Qin, Hong
Wang, Hong-da
Li, Guang-ming
Zhu, Yang-lin
Sun, Cheng-lu
Shao, Bo
Zhang, Jing-yi
Hao, Jing-peng
Wang, Hao
author_facet Ren, Shao-hua
Qin, Ya-fei
Qin, Hong
Wang, Hong-da
Li, Guang-ming
Zhu, Yang-lin
Sun, Cheng-lu
Shao, Bo
Zhang, Jing-yi
Hao, Jing-peng
Wang, Hao
author_sort Ren, Shao-hua
collection PubMed
description BACKGROUND: The prognostic value of m6A-related genes in hepatocellular carcinoma (HCC) and its correlation with the immune microenvironment still requires further investigation. METHODS: Consensus clustering by m6A related genes was used to classify 374 patients with HCC from The Cancer Genome Atlas (TCGA) database. Then we performed the least absolute shrinkage and selection operator (LASSO) to construct the m6A related genes model. The International Cancer Genome Consortium (ICGC) and Gene Expression Omnibus (GEO) datasets were used to verify and evaluate the model. ESTIMATE, CIBERSORTx, the expression levels of immune checkpoint genes, and TIDE were used to investigate the tumor microenvironment (TME) and the response to immunotherapy. Gene set enrichment analyses (GSEA), tumor-associated macrophages (TAMs), and gene-drug sensitivity were also analyzed. RESULTS: By expression value and regression coefficient of five m6A related genes, we constructed the risk score of each patient. The patients with a higher risk score had a considerably poorer prognosis in the primary and validated cohort. For further discussing TME and the response to immunotherapy, we divided the entire set into two groups based on the risk score. Our findings implied that the tumor-infiltrating lymphocytes (TILs) were proportional to the risk scores, which seemed to contradict that patients with higher scores had a poor prognosis. Further, we found that the high-risk group had higher expression of PD-L1, CTLA-4, and PDCD1, indicating immune dysfunction, which may be a fundamental reason for poor prognosis. This was further reinforced by the fact that the low-risk group responded better than the high-risk group to monotherapy and combination therapy. CONCLUSION: The m6A related risk score is a new independent prognostic factor that correlates with immunotherapy response. It can provide a new therapeutic strategy for improving individual immunotherapy in HCC.
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spelling pubmed-89785792022-04-05 N6-Methyladenine-Related Signature for Immune Microenvironment and Response to Immunotherapy in Hepatocellular Carcinoma Ren, Shao-hua Qin, Ya-fei Qin, Hong Wang, Hong-da Li, Guang-ming Zhu, Yang-lin Sun, Cheng-lu Shao, Bo Zhang, Jing-yi Hao, Jing-peng Wang, Hao Int J Gen Med Original Research BACKGROUND: The prognostic value of m6A-related genes in hepatocellular carcinoma (HCC) and its correlation with the immune microenvironment still requires further investigation. METHODS: Consensus clustering by m6A related genes was used to classify 374 patients with HCC from The Cancer Genome Atlas (TCGA) database. Then we performed the least absolute shrinkage and selection operator (LASSO) to construct the m6A related genes model. The International Cancer Genome Consortium (ICGC) and Gene Expression Omnibus (GEO) datasets were used to verify and evaluate the model. ESTIMATE, CIBERSORTx, the expression levels of immune checkpoint genes, and TIDE were used to investigate the tumor microenvironment (TME) and the response to immunotherapy. Gene set enrichment analyses (GSEA), tumor-associated macrophages (TAMs), and gene-drug sensitivity were also analyzed. RESULTS: By expression value and regression coefficient of five m6A related genes, we constructed the risk score of each patient. The patients with a higher risk score had a considerably poorer prognosis in the primary and validated cohort. For further discussing TME and the response to immunotherapy, we divided the entire set into two groups based on the risk score. Our findings implied that the tumor-infiltrating lymphocytes (TILs) were proportional to the risk scores, which seemed to contradict that patients with higher scores had a poor prognosis. Further, we found that the high-risk group had higher expression of PD-L1, CTLA-4, and PDCD1, indicating immune dysfunction, which may be a fundamental reason for poor prognosis. This was further reinforced by the fact that the low-risk group responded better than the high-risk group to monotherapy and combination therapy. CONCLUSION: The m6A related risk score is a new independent prognostic factor that correlates with immunotherapy response. It can provide a new therapeutic strategy for improving individual immunotherapy in HCC. Dove 2022-03-30 /pmc/articles/PMC8978579/ /pubmed/35386863 http://dx.doi.org/10.2147/IJGM.S351815 Text en © 2022 Ren et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Ren, Shao-hua
Qin, Ya-fei
Qin, Hong
Wang, Hong-da
Li, Guang-ming
Zhu, Yang-lin
Sun, Cheng-lu
Shao, Bo
Zhang, Jing-yi
Hao, Jing-peng
Wang, Hao
N6-Methyladenine-Related Signature for Immune Microenvironment and Response to Immunotherapy in Hepatocellular Carcinoma
title N6-Methyladenine-Related Signature for Immune Microenvironment and Response to Immunotherapy in Hepatocellular Carcinoma
title_full N6-Methyladenine-Related Signature for Immune Microenvironment and Response to Immunotherapy in Hepatocellular Carcinoma
title_fullStr N6-Methyladenine-Related Signature for Immune Microenvironment and Response to Immunotherapy in Hepatocellular Carcinoma
title_full_unstemmed N6-Methyladenine-Related Signature for Immune Microenvironment and Response to Immunotherapy in Hepatocellular Carcinoma
title_short N6-Methyladenine-Related Signature for Immune Microenvironment and Response to Immunotherapy in Hepatocellular Carcinoma
title_sort n6-methyladenine-related signature for immune microenvironment and response to immunotherapy in hepatocellular carcinoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978579/
https://www.ncbi.nlm.nih.gov/pubmed/35386863
http://dx.doi.org/10.2147/IJGM.S351815
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