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Comprehensive analysis of N(6)‐methyladenosine‐related long non‐coding RNAs for prognosis prediction in liver hepatocellular carcinoma

BACKGROUND: Liver hepatocellular carcinoma (LIHC) is a lethal cancer. This study aimed to identify the N(6)‐methyladenosine (m(6)A)‐targeted long non‐coding RNA (lncRNA) related to LIHC prognosis and to develop an m(6)A‐targeted lncRNA model for prognosis prediction in LIHC. METHODS: The expression...

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Autores principales: Zhu, Hong‐Xu, Lu, Wen‐Jie, Zhu, Wei‐Ping, Yu, Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649367/
https://www.ncbi.nlm.nih.gov/pubmed/34741346
http://dx.doi.org/10.1002/jcla.24071
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author Zhu, Hong‐Xu
Lu, Wen‐Jie
Zhu, Wei‐Ping
Yu, Song
author_facet Zhu, Hong‐Xu
Lu, Wen‐Jie
Zhu, Wei‐Ping
Yu, Song
author_sort Zhu, Hong‐Xu
collection PubMed
description BACKGROUND: Liver hepatocellular carcinoma (LIHC) is a lethal cancer. This study aimed to identify the N(6)‐methyladenosine (m(6)A)‐targeted long non‐coding RNA (lncRNA) related to LIHC prognosis and to develop an m(6)A‐targeted lncRNA model for prognosis prediction in LIHC. METHODS: The expression matrix of mRNA and lncRNA was obtained, and differentially expressed (DE) mRNAs and lncRNAs between tumor and normal samples were identified. Univariate Cox and pathway enrichment analyses were performed on the m(6)A‐targeted lncRNAs and the LIHC prognosis‐related m(6)A‐targeted lncRNAs. Prognostic analysis, immune infiltration, and gene DE analyses were performed on LIHC subgroups, which were obtained from unsupervised clustering analysis. Additionally, a multi‐factor Cox analysis was used to construct a prognostic risk model based on the lncRNAs from the LASSO Cox model. Univariate and multivariate Cox analyses were used to assess prognostic independence. RESULTS: A total of 5031 significant DEmRNAs and 292 significant DElncRNAs were screened, and 72 LIHC‐specific m(6)A‐targeted binding lncRNAs were screened. Moreover, a total of 29 LIHC prognosis‐related m(6)A‐targeted lncRNAs were obtained and enriched in cytoskeletal, spliceosome, and cell cycle pathways. An 11‐m(6)A‐lncRNA prognostic model was constructed and verified; the top 10 lncRNAs included LINC00152, RP6‐65G23.3, RP11‐620J15.3, RP11‐290F5.1, RP11‐147L13.13, RP11‐923I11.6, AC092171.4, KB‐1460A1.5, LINC00339, and RP11‐119D9.1. Additionally, the two LIHC subgroups, Cluster 1 and Cluster 2, showed significant differences in the immune microenvironment, m(6)A enzyme genes, and prognosis of LIHC. CONCLUSION: The m(6)A‐lncRNA prognostic model accurately and effectively predicted the prognostic survival of LIHC. Immune cells, immune checkpoints (ICs), and m(6)A enzyme genes could act as novel therapeutic targets for LIHC.
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spelling pubmed-86493672021-12-20 Comprehensive analysis of N(6)‐methyladenosine‐related long non‐coding RNAs for prognosis prediction in liver hepatocellular carcinoma Zhu, Hong‐Xu Lu, Wen‐Jie Zhu, Wei‐Ping Yu, Song J Clin Lab Anal Research Articles BACKGROUND: Liver hepatocellular carcinoma (LIHC) is a lethal cancer. This study aimed to identify the N(6)‐methyladenosine (m(6)A)‐targeted long non‐coding RNA (lncRNA) related to LIHC prognosis and to develop an m(6)A‐targeted lncRNA model for prognosis prediction in LIHC. METHODS: The expression matrix of mRNA and lncRNA was obtained, and differentially expressed (DE) mRNAs and lncRNAs between tumor and normal samples were identified. Univariate Cox and pathway enrichment analyses were performed on the m(6)A‐targeted lncRNAs and the LIHC prognosis‐related m(6)A‐targeted lncRNAs. Prognostic analysis, immune infiltration, and gene DE analyses were performed on LIHC subgroups, which were obtained from unsupervised clustering analysis. Additionally, a multi‐factor Cox analysis was used to construct a prognostic risk model based on the lncRNAs from the LASSO Cox model. Univariate and multivariate Cox analyses were used to assess prognostic independence. RESULTS: A total of 5031 significant DEmRNAs and 292 significant DElncRNAs were screened, and 72 LIHC‐specific m(6)A‐targeted binding lncRNAs were screened. Moreover, a total of 29 LIHC prognosis‐related m(6)A‐targeted lncRNAs were obtained and enriched in cytoskeletal, spliceosome, and cell cycle pathways. An 11‐m(6)A‐lncRNA prognostic model was constructed and verified; the top 10 lncRNAs included LINC00152, RP6‐65G23.3, RP11‐620J15.3, RP11‐290F5.1, RP11‐147L13.13, RP11‐923I11.6, AC092171.4, KB‐1460A1.5, LINC00339, and RP11‐119D9.1. Additionally, the two LIHC subgroups, Cluster 1 and Cluster 2, showed significant differences in the immune microenvironment, m(6)A enzyme genes, and prognosis of LIHC. CONCLUSION: The m(6)A‐lncRNA prognostic model accurately and effectively predicted the prognostic survival of LIHC. Immune cells, immune checkpoints (ICs), and m(6)A enzyme genes could act as novel therapeutic targets for LIHC. John Wiley and Sons Inc. 2021-11-05 /pmc/articles/PMC8649367/ /pubmed/34741346 http://dx.doi.org/10.1002/jcla.24071 Text en © 2021 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Zhu, Hong‐Xu
Lu, Wen‐Jie
Zhu, Wei‐Ping
Yu, Song
Comprehensive analysis of N(6)‐methyladenosine‐related long non‐coding RNAs for prognosis prediction in liver hepatocellular carcinoma
title Comprehensive analysis of N(6)‐methyladenosine‐related long non‐coding RNAs for prognosis prediction in liver hepatocellular carcinoma
title_full Comprehensive analysis of N(6)‐methyladenosine‐related long non‐coding RNAs for prognosis prediction in liver hepatocellular carcinoma
title_fullStr Comprehensive analysis of N(6)‐methyladenosine‐related long non‐coding RNAs for prognosis prediction in liver hepatocellular carcinoma
title_full_unstemmed Comprehensive analysis of N(6)‐methyladenosine‐related long non‐coding RNAs for prognosis prediction in liver hepatocellular carcinoma
title_short Comprehensive analysis of N(6)‐methyladenosine‐related long non‐coding RNAs for prognosis prediction in liver hepatocellular carcinoma
title_sort comprehensive analysis of n(6)‐methyladenosine‐related long non‐coding rnas for prognosis prediction in liver hepatocellular carcinoma
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649367/
https://www.ncbi.nlm.nih.gov/pubmed/34741346
http://dx.doi.org/10.1002/jcla.24071
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