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Discovering the key genes and important DNA methylation regions in breast cancer
BACKGROUND: Breast cancer is the malignant tumor with the highest incidence in women. DNA methylation has an important effect on breast cancer, but the effect of abnormal DNA methylation on gene expression in breast cancer is still unclear. Therefore, it is very important to find therapeutic targets...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781361/ https://www.ncbi.nlm.nih.gov/pubmed/35063044 http://dx.doi.org/10.1186/s41065-022-00220-5 |
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author | Cao, Yan-Ni Li, Qian-Zhong Liu, Yu-Xian Jin, Wen Hou, Rui |
author_facet | Cao, Yan-Ni Li, Qian-Zhong Liu, Yu-Xian Jin, Wen Hou, Rui |
author_sort | Cao, Yan-Ni |
collection | PubMed |
description | BACKGROUND: Breast cancer is the malignant tumor with the highest incidence in women. DNA methylation has an important effect on breast cancer, but the effect of abnormal DNA methylation on gene expression in breast cancer is still unclear. Therefore, it is very important to find therapeutic targets related to DNA methylation. RESULTS: In this work, we calculated the DNA methylation distribution and gene expression level in cancer and para-cancerous tissues for breast cancer samples. We found that DNA methylation in key regions is closely related to gene expression by analyzing the relationship between the distribution characteristics of DNA methylation in different regions and the change of gene expression level. Finally, the 18 key genes (17 tumor suppressor genes and 1 oncogene) related to prognosis were confirmed by the survival analysis of clinical data. Some important DNA methylation regions in these genes that result in breast cancer were found. CONCLUSIONS: We believe that 17 TSGs and 1 oncogene may be breast cancer biomarkers regulated by DNA methylation in key regions. These results will help to explore DNA methylation biomarkers as potential therapeutic targets for breast cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-022-00220-5. |
format | Online Article Text |
id | pubmed-8781361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87813612022-01-24 Discovering the key genes and important DNA methylation regions in breast cancer Cao, Yan-Ni Li, Qian-Zhong Liu, Yu-Xian Jin, Wen Hou, Rui Hereditas Research BACKGROUND: Breast cancer is the malignant tumor with the highest incidence in women. DNA methylation has an important effect on breast cancer, but the effect of abnormal DNA methylation on gene expression in breast cancer is still unclear. Therefore, it is very important to find therapeutic targets related to DNA methylation. RESULTS: In this work, we calculated the DNA methylation distribution and gene expression level in cancer and para-cancerous tissues for breast cancer samples. We found that DNA methylation in key regions is closely related to gene expression by analyzing the relationship between the distribution characteristics of DNA methylation in different regions and the change of gene expression level. Finally, the 18 key genes (17 tumor suppressor genes and 1 oncogene) related to prognosis were confirmed by the survival analysis of clinical data. Some important DNA methylation regions in these genes that result in breast cancer were found. CONCLUSIONS: We believe that 17 TSGs and 1 oncogene may be breast cancer biomarkers regulated by DNA methylation in key regions. These results will help to explore DNA methylation biomarkers as potential therapeutic targets for breast cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-022-00220-5. BioMed Central 2022-01-21 /pmc/articles/PMC8781361/ /pubmed/35063044 http://dx.doi.org/10.1186/s41065-022-00220-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Cao, Yan-Ni Li, Qian-Zhong Liu, Yu-Xian Jin, Wen Hou, Rui Discovering the key genes and important DNA methylation regions in breast cancer |
title | Discovering the key genes and important DNA methylation regions in breast cancer |
title_full | Discovering the key genes and important DNA methylation regions in breast cancer |
title_fullStr | Discovering the key genes and important DNA methylation regions in breast cancer |
title_full_unstemmed | Discovering the key genes and important DNA methylation regions in breast cancer |
title_short | Discovering the key genes and important DNA methylation regions in breast cancer |
title_sort | discovering the key genes and important dna methylation regions in breast cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781361/ https://www.ncbi.nlm.nih.gov/pubmed/35063044 http://dx.doi.org/10.1186/s41065-022-00220-5 |
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