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The m(6)A methylation landscape, molecular characterization and clinical relevance in prostate adenocarcinoma
BACKGROUND: Despite the recent progress of therapeutic strategies in treating prostate cancer (PCa), the majority of patients still eventually relapse, experiencing dismal outcomes. Therefore, it is of utmost importance to identify novel viable targets to increase the effectiveness of treatment. The...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076583/ https://www.ncbi.nlm.nih.gov/pubmed/37033963 http://dx.doi.org/10.3389/fimmu.2023.1086907 |
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author | Li, Chao Peng, Dongyi Gan, Yu Zhou, Lei Hou, Weibin Wang, Bingzhi Yuan, Peng Xiong, Wei Wang, Long |
author_facet | Li, Chao Peng, Dongyi Gan, Yu Zhou, Lei Hou, Weibin Wang, Bingzhi Yuan, Peng Xiong, Wei Wang, Long |
author_sort | Li, Chao |
collection | PubMed |
description | BACKGROUND: Despite the recent progress of therapeutic strategies in treating prostate cancer (PCa), the majority of patients still eventually relapse, experiencing dismal outcomes. Therefore, it is of utmost importance to identify novel viable targets to increase the effectiveness of treatment. The present study aimed to investigate the potential relationship between N6-methyladenosine (m6A) RNA modification and PCa development and determine its clinical relevance. METHODS: Through systematic analysis of the TCGA database and other datasets, we analyzed the gene expression correlation and mutation profiles of m6A-related genes between PCa and normal tissues. Patient samples were divided into high- and low-risk groups based on the results of Least Absolute Shrinkage and Selection Operator (LASSO) Cox analysis. Subsequently, differences in biological processes and genomic characteristics of the two risk groups were determined, followed by functional enrichment analysis and gene set enrichment (GSEA) analysis. Next, we constructed the protein-protein interaction (PPI) network of differentially expressed genes between patients in high- and low-risk groups, along with the mRNA-miRNA-lncRNA network. The correlation analysis of tumor-infiltrating immune cells was further conducted to reveal the differences in immune characteristics between the two groups. RESULTS: A variety of m6A-related genes were identified to be differentially expressed in PCa tissues as compared with normal tissues. In addition, the PPI network contained 278 interaction relationships and 34 m6A-related genes, and the mRNA-miRNA-lncRNA network contained 17 relationships, including 91 miRNAs. Finally, the immune characteristics analysis showed that compared with the low-risk group, the levels of M1 and M2 macrophages in the high-risk group significantly increased, while the levels of mast cells resting and T cells CD4 memory resting significantly decreased. CONCLUSIONS: This study provides novel findings that can further the understanding of the role of m6A methylation during the progression of PCa, which may facilitate the invention of targeted therapeutic drugs. |
format | Online Article Text |
id | pubmed-10076583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100765832023-04-07 The m(6)A methylation landscape, molecular characterization and clinical relevance in prostate adenocarcinoma Li, Chao Peng, Dongyi Gan, Yu Zhou, Lei Hou, Weibin Wang, Bingzhi Yuan, Peng Xiong, Wei Wang, Long Front Immunol Immunology BACKGROUND: Despite the recent progress of therapeutic strategies in treating prostate cancer (PCa), the majority of patients still eventually relapse, experiencing dismal outcomes. Therefore, it is of utmost importance to identify novel viable targets to increase the effectiveness of treatment. The present study aimed to investigate the potential relationship between N6-methyladenosine (m6A) RNA modification and PCa development and determine its clinical relevance. METHODS: Through systematic analysis of the TCGA database and other datasets, we analyzed the gene expression correlation and mutation profiles of m6A-related genes between PCa and normal tissues. Patient samples were divided into high- and low-risk groups based on the results of Least Absolute Shrinkage and Selection Operator (LASSO) Cox analysis. Subsequently, differences in biological processes and genomic characteristics of the two risk groups were determined, followed by functional enrichment analysis and gene set enrichment (GSEA) analysis. Next, we constructed the protein-protein interaction (PPI) network of differentially expressed genes between patients in high- and low-risk groups, along with the mRNA-miRNA-lncRNA network. The correlation analysis of tumor-infiltrating immune cells was further conducted to reveal the differences in immune characteristics between the two groups. RESULTS: A variety of m6A-related genes were identified to be differentially expressed in PCa tissues as compared with normal tissues. In addition, the PPI network contained 278 interaction relationships and 34 m6A-related genes, and the mRNA-miRNA-lncRNA network contained 17 relationships, including 91 miRNAs. Finally, the immune characteristics analysis showed that compared with the low-risk group, the levels of M1 and M2 macrophages in the high-risk group significantly increased, while the levels of mast cells resting and T cells CD4 memory resting significantly decreased. CONCLUSIONS: This study provides novel findings that can further the understanding of the role of m6A methylation during the progression of PCa, which may facilitate the invention of targeted therapeutic drugs. Frontiers Media S.A. 2023-03-23 /pmc/articles/PMC10076583/ /pubmed/37033963 http://dx.doi.org/10.3389/fimmu.2023.1086907 Text en Copyright © 2023 Li, Peng, Gan, Zhou, Hou, Wang, Yuan, Xiong and Wang 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 | Immunology Li, Chao Peng, Dongyi Gan, Yu Zhou, Lei Hou, Weibin Wang, Bingzhi Yuan, Peng Xiong, Wei Wang, Long The m(6)A methylation landscape, molecular characterization and clinical relevance in prostate adenocarcinoma |
title | The m(6)A methylation landscape, molecular characterization and clinical relevance in prostate adenocarcinoma |
title_full | The m(6)A methylation landscape, molecular characterization and clinical relevance in prostate adenocarcinoma |
title_fullStr | The m(6)A methylation landscape, molecular characterization and clinical relevance in prostate adenocarcinoma |
title_full_unstemmed | The m(6)A methylation landscape, molecular characterization and clinical relevance in prostate adenocarcinoma |
title_short | The m(6)A methylation landscape, molecular characterization and clinical relevance in prostate adenocarcinoma |
title_sort | m(6)a methylation landscape, molecular characterization and clinical relevance in prostate adenocarcinoma |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076583/ https://www.ncbi.nlm.nih.gov/pubmed/37033963 http://dx.doi.org/10.3389/fimmu.2023.1086907 |
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