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A Comprehensive Analysis for Expression, Diagnosis, and Prognosis of m(5)C Regulator in Breast Cancer and Its ncRNA–mRNA Regulatory Mechanism

Recent studies have well demonstrated that 5-methylcytosine (m(5)C) regulators play pivotal roles in pathological conditions, including cancer. This study first tried to identify potential 5-methylcytosine (m(5)C) regulators in breast cancer by combination of expression, diagnosis, and survival anal...

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Autores principales: Liu, Jingxing, Xiao, Shuyuan, Chen, Jing, Lou, Weiyang, Chen, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257136/
https://www.ncbi.nlm.nih.gov/pubmed/35812757
http://dx.doi.org/10.3389/fgene.2022.822721
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author Liu, Jingxing
Xiao, Shuyuan
Chen, Jing
Lou, Weiyang
Chen, Xu
author_facet Liu, Jingxing
Xiao, Shuyuan
Chen, Jing
Lou, Weiyang
Chen, Xu
author_sort Liu, Jingxing
collection PubMed
description Recent studies have well demonstrated that 5-methylcytosine (m(5)C) regulators play pivotal roles in pathological conditions, including cancer. This study first tried to identify potential 5-methylcytosine (m(5)C) regulators in breast cancer by combination of expression, diagnosis, and survival analyses, and then established an ncRNA–mRNA network accounting for m(5)C regulators’ roles in breast cancer. Among 13 m(5)C regulators, DNMT3B and ALYREF were significantly upregulated in breast cancer and their high expression indicated unfavorable prognosis. Both DNMT3B and ALYREF possessed the statistical abilities to distinguish breast cancer from normal breast samples. Moreover, five potential upstream miRNAs (let-7b-5p, miR-195-5p, miR-29a-3p, miR-26a-5p, and miR-26b-5p) of m(5)C regulators could not only serve as independent prognostic predictors but also together made up a promising miRNA prognostic signature in breast cancer. Next, upstream potential lncRNAs of the five miRNAs were predicted and analyzed. Pathway enrichment analysis revealed that the target genes of these miRNAs were markedly enriched in some cancer-related pathways, and further investigation indicated VEGFA and EZH2 were found to be the most potential target genes in the m(5)C regulators-related ncRNA–mRNA network in breast cancer. These findings comprehensively provided key clues for developing m(5)C regulators-related effective therapeutic targets and promising diagnostic biomarkers in breast cancer.
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spelling pubmed-92571362022-07-07 A Comprehensive Analysis for Expression, Diagnosis, and Prognosis of m(5)C Regulator in Breast Cancer and Its ncRNA–mRNA Regulatory Mechanism Liu, Jingxing Xiao, Shuyuan Chen, Jing Lou, Weiyang Chen, Xu Front Genet Genetics Recent studies have well demonstrated that 5-methylcytosine (m(5)C) regulators play pivotal roles in pathological conditions, including cancer. This study first tried to identify potential 5-methylcytosine (m(5)C) regulators in breast cancer by combination of expression, diagnosis, and survival analyses, and then established an ncRNA–mRNA network accounting for m(5)C regulators’ roles in breast cancer. Among 13 m(5)C regulators, DNMT3B and ALYREF were significantly upregulated in breast cancer and their high expression indicated unfavorable prognosis. Both DNMT3B and ALYREF possessed the statistical abilities to distinguish breast cancer from normal breast samples. Moreover, five potential upstream miRNAs (let-7b-5p, miR-195-5p, miR-29a-3p, miR-26a-5p, and miR-26b-5p) of m(5)C regulators could not only serve as independent prognostic predictors but also together made up a promising miRNA prognostic signature in breast cancer. Next, upstream potential lncRNAs of the five miRNAs were predicted and analyzed. Pathway enrichment analysis revealed that the target genes of these miRNAs were markedly enriched in some cancer-related pathways, and further investigation indicated VEGFA and EZH2 were found to be the most potential target genes in the m(5)C regulators-related ncRNA–mRNA network in breast cancer. These findings comprehensively provided key clues for developing m(5)C regulators-related effective therapeutic targets and promising diagnostic biomarkers in breast cancer. Frontiers Media S.A. 2022-06-22 /pmc/articles/PMC9257136/ /pubmed/35812757 http://dx.doi.org/10.3389/fgene.2022.822721 Text en Copyright © 2022 Liu, Xiao, Chen, Lou and Chen. https://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
Liu, Jingxing
Xiao, Shuyuan
Chen, Jing
Lou, Weiyang
Chen, Xu
A Comprehensive Analysis for Expression, Diagnosis, and Prognosis of m(5)C Regulator in Breast Cancer and Its ncRNA–mRNA Regulatory Mechanism
title A Comprehensive Analysis for Expression, Diagnosis, and Prognosis of m(5)C Regulator in Breast Cancer and Its ncRNA–mRNA Regulatory Mechanism
title_full A Comprehensive Analysis for Expression, Diagnosis, and Prognosis of m(5)C Regulator in Breast Cancer and Its ncRNA–mRNA Regulatory Mechanism
title_fullStr A Comprehensive Analysis for Expression, Diagnosis, and Prognosis of m(5)C Regulator in Breast Cancer and Its ncRNA–mRNA Regulatory Mechanism
title_full_unstemmed A Comprehensive Analysis for Expression, Diagnosis, and Prognosis of m(5)C Regulator in Breast Cancer and Its ncRNA–mRNA Regulatory Mechanism
title_short A Comprehensive Analysis for Expression, Diagnosis, and Prognosis of m(5)C Regulator in Breast Cancer and Its ncRNA–mRNA Regulatory Mechanism
title_sort comprehensive analysis for expression, diagnosis, and prognosis of m(5)c regulator in breast cancer and its ncrna–mrna regulatory mechanism
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257136/
https://www.ncbi.nlm.nih.gov/pubmed/35812757
http://dx.doi.org/10.3389/fgene.2022.822721
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