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Expression and Prognostic Characteristics of m(6) A RNA Methylation Regulators in Breast Cancer

PURPOSE: N6-methyladenosine (m(6)A) is the most prevalent modification in mRNA methylation which has a wide effect on biological functions. This study aims to figure out the efficacy of m(6)A RNA methylation regulator-based biomarkers with prognostic significance in breast cancer. PATIENTS AND METHO...

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Autores principales: Zhang, Bo, Gu, Yanlin, Jiang, Guoqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758326/
https://www.ncbi.nlm.nih.gov/pubmed/33362863
http://dx.doi.org/10.3389/fgene.2020.604597
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author Zhang, Bo
Gu, Yanlin
Jiang, Guoqin
author_facet Zhang, Bo
Gu, Yanlin
Jiang, Guoqin
author_sort Zhang, Bo
collection PubMed
description PURPOSE: N6-methyladenosine (m(6)A) is the most prevalent modification in mRNA methylation which has a wide effect on biological functions. This study aims to figure out the efficacy of m(6)A RNA methylation regulator-based biomarkers with prognostic significance in breast cancer. PATIENTS AND METHODS: The 23 RNA methylation regulators were firstly analyzed through ONCOMINE, then relative RNA-seq transcriptome and clinical data of 1,096 breast cancer samples and 112 normal tissue samples were acquired from The Cancer Gene Atlas (TCGA) database. The expressive distinction was also showed by the Gene Expression Omnibus (GEO) database. The gene expression data of m(6)A RNA regulators in human tissues were acquired from the Genotype-Tissue Expression (GTEx) database. The R v3.5.1 and other online tools such as STRING, bc-GeneExminer v4.5, Kaplan-Meier Plotter were applied for bioinformatics analysis. RESULTS: Results from ONCOMINE, TCGA, and GEO databases showed distinctive expression and clinical correlations of m(6)A RNA methylation regulators in breast cancer patients. The high expression of YTHDF3, ZC3H13, LRPPRC, and METTL16 indicated poor survival rate in patients with breast cancer, while high expression of RBM15B pointed to a better survival rate. Both univariate and multivariate Cox regression analyses revealed that age and risk scores were related to overall survival (OS). Univariate analysis also delineated that stage, tumor (T) status, lymph node (N) status, and metastasis (M) status were associated with OS. From another perspective, Kaplan-Meier Plotter platform showed that the relatively high expression of YTHDF3 and LRPPRC and the relatively low expression of RBM15B, ZC3H13, and METTL16 in breast cancer patients had worse Relapse-Free Survival (RFS). Breast Cancer Gene-Expression Miner v4.5 showed that LRPPRC level was negatively associated with ER and PR expression, while METTL16, RBM15B, ZC3H13 level was positively linked with ER and PR expression. In HER-2 (+) breast cancer patients, the expression of LRPPRC, METTL16, RBM15B, and ZC3H13 were all lower than the HER-2 (−) group. CONCLUSION: The significant difference in expression levels and prognostic value of m(6)A RNA methylation regulators were analyzed and validated in this study. This signature revealed the potential therapeutic value of m(6)A RNA methylation regulators in breast cancer.
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spelling pubmed-77583262020-12-25 Expression and Prognostic Characteristics of m(6) A RNA Methylation Regulators in Breast Cancer Zhang, Bo Gu, Yanlin Jiang, Guoqin Front Genet Genetics PURPOSE: N6-methyladenosine (m(6)A) is the most prevalent modification in mRNA methylation which has a wide effect on biological functions. This study aims to figure out the efficacy of m(6)A RNA methylation regulator-based biomarkers with prognostic significance in breast cancer. PATIENTS AND METHODS: The 23 RNA methylation regulators were firstly analyzed through ONCOMINE, then relative RNA-seq transcriptome and clinical data of 1,096 breast cancer samples and 112 normal tissue samples were acquired from The Cancer Gene Atlas (TCGA) database. The expressive distinction was also showed by the Gene Expression Omnibus (GEO) database. The gene expression data of m(6)A RNA regulators in human tissues were acquired from the Genotype-Tissue Expression (GTEx) database. The R v3.5.1 and other online tools such as STRING, bc-GeneExminer v4.5, Kaplan-Meier Plotter were applied for bioinformatics analysis. RESULTS: Results from ONCOMINE, TCGA, and GEO databases showed distinctive expression and clinical correlations of m(6)A RNA methylation regulators in breast cancer patients. The high expression of YTHDF3, ZC3H13, LRPPRC, and METTL16 indicated poor survival rate in patients with breast cancer, while high expression of RBM15B pointed to a better survival rate. Both univariate and multivariate Cox regression analyses revealed that age and risk scores were related to overall survival (OS). Univariate analysis also delineated that stage, tumor (T) status, lymph node (N) status, and metastasis (M) status were associated with OS. From another perspective, Kaplan-Meier Plotter platform showed that the relatively high expression of YTHDF3 and LRPPRC and the relatively low expression of RBM15B, ZC3H13, and METTL16 in breast cancer patients had worse Relapse-Free Survival (RFS). Breast Cancer Gene-Expression Miner v4.5 showed that LRPPRC level was negatively associated with ER and PR expression, while METTL16, RBM15B, ZC3H13 level was positively linked with ER and PR expression. In HER-2 (+) breast cancer patients, the expression of LRPPRC, METTL16, RBM15B, and ZC3H13 were all lower than the HER-2 (−) group. CONCLUSION: The significant difference in expression levels and prognostic value of m(6)A RNA methylation regulators were analyzed and validated in this study. This signature revealed the potential therapeutic value of m(6)A RNA methylation regulators in breast cancer. Frontiers Media S.A. 2020-12-10 /pmc/articles/PMC7758326/ /pubmed/33362863 http://dx.doi.org/10.3389/fgene.2020.604597 Text en Copyright © 2020 Zhang, Gu and Jiang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Zhang, Bo
Gu, Yanlin
Jiang, Guoqin
Expression and Prognostic Characteristics of m(6) A RNA Methylation Regulators in Breast Cancer
title Expression and Prognostic Characteristics of m(6) A RNA Methylation Regulators in Breast Cancer
title_full Expression and Prognostic Characteristics of m(6) A RNA Methylation Regulators in Breast Cancer
title_fullStr Expression and Prognostic Characteristics of m(6) A RNA Methylation Regulators in Breast Cancer
title_full_unstemmed Expression and Prognostic Characteristics of m(6) A RNA Methylation Regulators in Breast Cancer
title_short Expression and Prognostic Characteristics of m(6) A RNA Methylation Regulators in Breast Cancer
title_sort expression and prognostic characteristics of m(6) a rna methylation regulators in breast cancer
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758326/
https://www.ncbi.nlm.nih.gov/pubmed/33362863
http://dx.doi.org/10.3389/fgene.2020.604597
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