{"title":"Discovering the key genes and important DNA methylation regions in breast cancer.","authors":"Yan-Ni Cao, Qian-Zhong Li, Yu-Xian Liu, Wen Jin, Rui Hou","doi":"10.1186/s41065-022-00220-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":12862,"journal":{"name":"Hereditas","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781361/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hereditas","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s41065-022-00220-5","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.
背景:乳腺癌是女性发病率最高的恶性肿瘤:乳腺癌是女性发病率最高的恶性肿瘤。DNA甲基化对乳腺癌有重要影响,但DNA甲基化异常对乳腺癌基因表达的影响尚不清楚。因此,寻找与DNA甲基化相关的治疗靶点非常重要:本研究计算了乳腺癌样本中癌组织和癌旁组织的 DNA 甲基化分布和基因表达水平。通过分析 DNA 甲基化在不同区域的分布特征与基因表达水平变化之间的关系,我们发现关键区域的 DNA 甲基化与基因表达密切相关。最后,通过临床数据的生存分析,确认了与预后相关的18个关键基因(17个肿瘤抑制基因和1个肿瘤基因)。在这些基因中发现了一些导致乳腺癌的重要 DNA 甲基化区域:我们认为,17 个抑制基因和 1 个癌基因可能是受关键区域 DNA 甲基化调控的乳腺癌生物标志物。这些结果将有助于探索作为乳腺癌潜在治疗靶点的 DNA 甲基化生物标志物。
HereditasBiochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.80
自引率
3.70%
发文量
0
期刊介绍:
For almost a century, Hereditas has published original cutting-edge research and reviews. As the Official journal of the Mendelian Society of Lund, the journal welcomes research from across all areas of genetics and genomics. Topics of interest include human and medical genetics, animal and plant genetics, microbial genetics, agriculture and bioinformatics.