Cargando…

RNA N6-Methyladenosine Patterns in Hepatocellular Carcinoma Reveal a Distinct Immune Infiltration Landscape and Clinical Significance

BACKGROUND: RNA N6-methyladenosine (m(6)A) methylation, the most abundant and prominent form of epigenetic modification, is involved in hepatocellular carcinoma (HCC) initiation and progression. However, the role of m(6)A methylation in HCC tumor microenvironment (TME) formation is unexplored. This...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Hua, Zhou, Qiujun, Shi, Chengwei, Shao, Yaojian, Ni, Junjie, Lou, Jianying, Wei, Shenyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555444/
https://www.ncbi.nlm.nih.gov/pubmed/34690344
http://dx.doi.org/10.12659/MSM.930994
_version_ 1784591979776049152
author Zhao, Hua
Zhou, Qiujun
Shi, Chengwei
Shao, Yaojian
Ni, Junjie
Lou, Jianying
Wei, Shenyu
author_facet Zhao, Hua
Zhou, Qiujun
Shi, Chengwei
Shao, Yaojian
Ni, Junjie
Lou, Jianying
Wei, Shenyu
author_sort Zhao, Hua
collection PubMed
description BACKGROUND: RNA N6-methyladenosine (m(6)A) methylation, the most abundant and prominent form of epigenetic modification, is involved in hepatocellular carcinoma (HCC) initiation and progression. However, the role of m(6)A methylation in HCC tumor microenvironment (TME) formation is unexplored. This study aimed to reveal the TME features of HCC patients with distinct m(6)A expression patterns and establish a prognostic model based on m6A signatures for HCC cohorts. MATERIAL/METHODS: We classified the m(6)A methylation patterns in 365 HCC samples based on 21 m(6)A modulators using a consensus clustering algorithm. Single-sample gene set enrichment analysis algorithm was used to quantify the abundance of immune cell infiltration. Gene set variation analysis revealed the biological characteristics between the m6A modification patterns. The m(6)A-based prognostic model was constructed using a training set with least absolute shrinkage and selection operator regression and validated in internal and external datasets. RESULTS: Two distinct m(6)A modification patterns exhibiting different TME immune-infiltrating characteristics, heterogeneity, and prognostic variations were identified in the HCC cohort. After depicting the immune landscape of TME in HCC, we found patients with high LRPPRC m(6)A modulator expression had depletion of T cells, cytotoxic cells, dendritic cells, and cytolytic activity response. A high m(6)A score, characterized by suppression of immunity, indicated an immune-excluded TME phenotype, with poor survival. A nomogram was developed to facilitate HCC clinical decision making. CONCLUSIONS: Our results highlight the nonnegligible role of m(6)A methylation in TME formation and reveal a potential clinical application of the m(6)A-associated prognostic model for patients with HCC.
format Online
Article
Text
id pubmed-8555444
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher International Scientific Literature, Inc.
record_format MEDLINE/PubMed
spelling pubmed-85554442021-11-10 RNA N6-Methyladenosine Patterns in Hepatocellular Carcinoma Reveal a Distinct Immune Infiltration Landscape and Clinical Significance Zhao, Hua Zhou, Qiujun Shi, Chengwei Shao, Yaojian Ni, Junjie Lou, Jianying Wei, Shenyu Med Sci Monit Database Analysis BACKGROUND: RNA N6-methyladenosine (m(6)A) methylation, the most abundant and prominent form of epigenetic modification, is involved in hepatocellular carcinoma (HCC) initiation and progression. However, the role of m(6)A methylation in HCC tumor microenvironment (TME) formation is unexplored. This study aimed to reveal the TME features of HCC patients with distinct m(6)A expression patterns and establish a prognostic model based on m6A signatures for HCC cohorts. MATERIAL/METHODS: We classified the m(6)A methylation patterns in 365 HCC samples based on 21 m(6)A modulators using a consensus clustering algorithm. Single-sample gene set enrichment analysis algorithm was used to quantify the abundance of immune cell infiltration. Gene set variation analysis revealed the biological characteristics between the m6A modification patterns. The m(6)A-based prognostic model was constructed using a training set with least absolute shrinkage and selection operator regression and validated in internal and external datasets. RESULTS: Two distinct m(6)A modification patterns exhibiting different TME immune-infiltrating characteristics, heterogeneity, and prognostic variations were identified in the HCC cohort. After depicting the immune landscape of TME in HCC, we found patients with high LRPPRC m(6)A modulator expression had depletion of T cells, cytotoxic cells, dendritic cells, and cytolytic activity response. A high m(6)A score, characterized by suppression of immunity, indicated an immune-excluded TME phenotype, with poor survival. A nomogram was developed to facilitate HCC clinical decision making. CONCLUSIONS: Our results highlight the nonnegligible role of m(6)A methylation in TME formation and reveal a potential clinical application of the m(6)A-associated prognostic model for patients with HCC. International Scientific Literature, Inc. 2021-10-25 /pmc/articles/PMC8555444/ /pubmed/34690344 http://dx.doi.org/10.12659/MSM.930994 Text en © Med Sci Monit, 2021 https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Database Analysis
Zhao, Hua
Zhou, Qiujun
Shi, Chengwei
Shao, Yaojian
Ni, Junjie
Lou, Jianying
Wei, Shenyu
RNA N6-Methyladenosine Patterns in Hepatocellular Carcinoma Reveal a Distinct Immune Infiltration Landscape and Clinical Significance
title RNA N6-Methyladenosine Patterns in Hepatocellular Carcinoma Reveal a Distinct Immune Infiltration Landscape and Clinical Significance
title_full RNA N6-Methyladenosine Patterns in Hepatocellular Carcinoma Reveal a Distinct Immune Infiltration Landscape and Clinical Significance
title_fullStr RNA N6-Methyladenosine Patterns in Hepatocellular Carcinoma Reveal a Distinct Immune Infiltration Landscape and Clinical Significance
title_full_unstemmed RNA N6-Methyladenosine Patterns in Hepatocellular Carcinoma Reveal a Distinct Immune Infiltration Landscape and Clinical Significance
title_short RNA N6-Methyladenosine Patterns in Hepatocellular Carcinoma Reveal a Distinct Immune Infiltration Landscape and Clinical Significance
title_sort rna n6-methyladenosine patterns in hepatocellular carcinoma reveal a distinct immune infiltration landscape and clinical significance
topic Database Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555444/
https://www.ncbi.nlm.nih.gov/pubmed/34690344
http://dx.doi.org/10.12659/MSM.930994
work_keys_str_mv AT zhaohua rnan6methyladenosinepatternsinhepatocellularcarcinomarevealadistinctimmuneinfiltrationlandscapeandclinicalsignificance
AT zhouqiujun rnan6methyladenosinepatternsinhepatocellularcarcinomarevealadistinctimmuneinfiltrationlandscapeandclinicalsignificance
AT shichengwei rnan6methyladenosinepatternsinhepatocellularcarcinomarevealadistinctimmuneinfiltrationlandscapeandclinicalsignificance
AT shaoyaojian rnan6methyladenosinepatternsinhepatocellularcarcinomarevealadistinctimmuneinfiltrationlandscapeandclinicalsignificance
AT nijunjie rnan6methyladenosinepatternsinhepatocellularcarcinomarevealadistinctimmuneinfiltrationlandscapeandclinicalsignificance
AT loujianying rnan6methyladenosinepatternsinhepatocellularcarcinomarevealadistinctimmuneinfiltrationlandscapeandclinicalsignificance
AT weishenyu rnan6methyladenosinepatternsinhepatocellularcarcinomarevealadistinctimmuneinfiltrationlandscapeandclinicalsignificance