Abstract
Abstract DNA methylation has been associated with several key events of gene regulation and to human cancer. It is not yet known how the epigenome of various populations is associated with clinical manifestations during the course of the disease. In this poster we describe a method for stratifying breast cancer patients from Indian origin using CpG island microarray from the University Healthcare Network (UHN) Toronto (human CpG island 12k microarray chip, HCGI12K). DNA samples were obtained from a prospective study cohort which consisted of 51 female primary breast cancers. All patients had been undergoing treatment in a tertiary care hospital and its associated centers in the southern part of India between 2007 and 2009. We have identified and classified the DNA methylation in CpG islands of patient samples using various clinical parameters such as age of disease onset, menopausal status, hormone receptor status and Her2 status. We present the methods to analyze the data from UHN CpG island arrays used in a high throughput methylation study in order to derive decision rules of stratifying the data into basic classes such as normal and benign conditions, and infiltrating ductal carcinoma. Results will be presented pertaining to differential methylation status of patients in different categories such as age of disease onset, menopausal status, hormone receptor status and Her2 status. Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P3-04-08.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
