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Heterogeneity Analysis of Bladder Cancer Based on DNA Methylation Molecular Profiling
Bladder cancer is a highly complex and heterogeneous malignancy. Tumor heterogeneity is a barrier to effective diagnosis and treatment of bladder cancer. Human carcinogenesis is closely related to abnormal gene expression, and DNA methylation is an important regulatory factor of gene expression. The...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209659/ https://www.ncbi.nlm.nih.gov/pubmed/35747826 http://dx.doi.org/10.3389/fonc.2022.915542 |
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author | Wang, Shuyu Xu, Dali Gao, Bo Yan, Shuhan Sun, Yiwei Tang, Xinxing Jiao, Yanjia Huang, Shan Zhang, Shumei |
author_facet | Wang, Shuyu Xu, Dali Gao, Bo Yan, Shuhan Sun, Yiwei Tang, Xinxing Jiao, Yanjia Huang, Shan Zhang, Shumei |
author_sort | Wang, Shuyu |
collection | PubMed |
description | Bladder cancer is a highly complex and heterogeneous malignancy. Tumor heterogeneity is a barrier to effective diagnosis and treatment of bladder cancer. Human carcinogenesis is closely related to abnormal gene expression, and DNA methylation is an important regulatory factor of gene expression. Therefore, it is of great significance for bladder cancer research to characterize tumor heterogeneity by integrating genetic and epigenetic characteristics. This study explored specific molecular subtypes based on DNA methylation status and identified subtype-specific characteristics using patient samples from the TCGA database with DNA methylation and gene expression were measured simultaneously. The results were validated using an independent cohort from GEO database. Four DNA methylation molecular subtypes of bladder cancer were obtained with different prognostic states. In addition, subtype-specific DNA methylation markers were identified using an information entropy-based algorithm to represent the unique molecular characteristics of the subtype and verified in the test set. The results of this study can provide an important reference for clinicians to make treatment decisions. |
format | Online Article Text |
id | pubmed-9209659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92096592022-06-22 Heterogeneity Analysis of Bladder Cancer Based on DNA Methylation Molecular Profiling Wang, Shuyu Xu, Dali Gao, Bo Yan, Shuhan Sun, Yiwei Tang, Xinxing Jiao, Yanjia Huang, Shan Zhang, Shumei Front Oncol Oncology Bladder cancer is a highly complex and heterogeneous malignancy. Tumor heterogeneity is a barrier to effective diagnosis and treatment of bladder cancer. Human carcinogenesis is closely related to abnormal gene expression, and DNA methylation is an important regulatory factor of gene expression. Therefore, it is of great significance for bladder cancer research to characterize tumor heterogeneity by integrating genetic and epigenetic characteristics. This study explored specific molecular subtypes based on DNA methylation status and identified subtype-specific characteristics using patient samples from the TCGA database with DNA methylation and gene expression were measured simultaneously. The results were validated using an independent cohort from GEO database. Four DNA methylation molecular subtypes of bladder cancer were obtained with different prognostic states. In addition, subtype-specific DNA methylation markers were identified using an information entropy-based algorithm to represent the unique molecular characteristics of the subtype and verified in the test set. The results of this study can provide an important reference for clinicians to make treatment decisions. Frontiers Media S.A. 2022-06-07 /pmc/articles/PMC9209659/ /pubmed/35747826 http://dx.doi.org/10.3389/fonc.2022.915542 Text en Copyright © 2022 Wang, Xu, Gao, Yan, Sun, Tang, Jiao, Huang and Zhang 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 | Oncology Wang, Shuyu Xu, Dali Gao, Bo Yan, Shuhan Sun, Yiwei Tang, Xinxing Jiao, Yanjia Huang, Shan Zhang, Shumei Heterogeneity Analysis of Bladder Cancer Based on DNA Methylation Molecular Profiling |
title | Heterogeneity Analysis of Bladder Cancer Based on DNA Methylation Molecular Profiling |
title_full | Heterogeneity Analysis of Bladder Cancer Based on DNA Methylation Molecular Profiling |
title_fullStr | Heterogeneity Analysis of Bladder Cancer Based on DNA Methylation Molecular Profiling |
title_full_unstemmed | Heterogeneity Analysis of Bladder Cancer Based on DNA Methylation Molecular Profiling |
title_short | Heterogeneity Analysis of Bladder Cancer Based on DNA Methylation Molecular Profiling |
title_sort | heterogeneity analysis of bladder cancer based on dna methylation molecular profiling |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209659/ https://www.ncbi.nlm.nih.gov/pubmed/35747826 http://dx.doi.org/10.3389/fonc.2022.915542 |
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