Bioinformatics Program Seminar with Shridar Ganesan

2:00 pm on Friday, November 9, 2012
24 Cummington St. (LSEB), Room 103
Given by Shridar Ganesan, MD, PhD, from The Cancer Institute of New Jersey

Title: "Biology of Breast Cancer Subtypes"

Abstract: Breast cancer is a heterogenous set of diseases with differing natural histories, responses to treatment, and likely different cells of origin. Both standard clinical markers and detailed genomic and gene expression analyses have been useful in identifying biologically distinct classes of breast cancer. We have used a variety of computational approaches on genomic datasets to identify robust, biologically relevant classes of breast cancer. Robust consensus clustering approaches have identified two subclasses of HER2-amplified breast cancer with widely varying outcome. Outlier analysis and was used to identify subclasses of ER+ breast cancer characterized by the presence of specific genomic amplifications that are associated with early relapse in the setting of adjuvant hormonal therapy. Analysis of RNA-sequencing data have also identified marked differences in transcript splicing between breast cancer classes. Both the biological and therapeutic implications of these findings will be reviewed and placed in the context of recent finding from The Cancer Genome Atlas.