학술논문
DNA methylation age in paired tumor and adjacent normal breast tissue in Chinese women with breast cancer
Document Type
article
Author
Hela Koka; Clara Bodelon; Steve Horvath; Priscilla Ming Yi Lee; Difei Wang; Lei Song; Tongwu Zhang; Amber N. Hurson; Jennifer Lyn Guida; Bin Zhu; Maeve Bailey-Whyte; Feng Wang; Cherry Wu; Koon Ho Tsang; Yee-Kei Tsoi; W. C. Chan; Sze Hong Law; Ray Ka Wai Hung; Gary M. Tse; Karen Ka-wan Yuen; Eric Karlins; Kristine Jones; Aurelie Vogt; Amy Hutchinson; Belynda Hicks; Montserrat Garcia-Closas; Stephen Chanock; Jill Barnholtz-Sloan; Lap Ah Tse; Xiaohong R. Yang
Source
Clinical Epigenetics, Vol 15, Iss 1, Pp 1-14 (2023)
Subject
Language
English
ISSN
1868-7083
Abstract
Abstract Background Few studies have examined epigenetic age acceleration (AA), the difference between DNA methylation (DNAm) predicted age and chronological age, in relation to somatic genomic features in paired cancer and normal tissue, with less work done in non-European populations. In this study, we aimed to examine DNAm age and its associations with breast cancer risk factors, subtypes, somatic genomic profiles including mutation and copy number alterations and other aging markers in breast tissue of Chinese breast cancer (BC) patients from Hong Kong. Methods We performed genome-wide DNA methylation profiling of 196 tumor and 188 paired adjacent normal tissue collected from Chinese BC patients in Hong Kong (HKBC) using Illumina MethylationEPIC array. The DNAm age was calculated using Horvath’s pan-tissue clock model. Somatic genomic features were based on data from RNA sequencing (RNASeq), whole-exome sequencing (WES), and whole-genome sequencing (WGS). Pearson’s correlation (r), Kruskal–Wallis test, and regression models were used to estimate associations of DNAm AA with somatic features and breast cancer risk factors. Results DNAm age showed a stronger correlation with chronological age in normal (Pearson r = 0.78, P