Accelerated aging in normal breast tissue of women with breast cancer.

ABSTRACT:

Background

DNA methylation alterations have similar patterns in normal aging tissue and in cancer. In this study, we investigated breast tissue-specific age-related DNA methylation alterations and used those methylation sites to identify individuals with outlier phenotypes. Outlier phenotype is identified by unsupervised anomaly detection algorithms and is defined by individuals who have normal tissue age-dependent DNA methylation levels that vary dramatically from the population mean.

Methods

We generated whole-genome DNA methylation profiles (GSE160233) on purified epithelial cells and used publicly available Infinium HumanMethylation 450K array datasets (TCGA, GSE88883, GSE69914, GSE101961, and GSE74214) for discovery and validation.

Results

We found that hypermeth

SUBMITTER: Panjarian S 

PROVIDER: S-EPMC8140515 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature