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Activity Number: 103
Type: Invited
Date/Time: Monday, August 1, 2016 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract #318302
Title: Intratumor Heterogeneity Analysis Using High-Throughput DNA Sequencing Data
Author(s): Ronglai Shen* and Venkatraman Seshan
Companies: Memorial Sloan Kettering Cancer Center and Memorial Sloan Kettering Cancer Center
Keywords: clonal heterogeneity ; DNA-sequencing ; Cancer genomics

Intratumor heterogeneity is characterized by the presence of genetically distinct subclones of tumor cells within a tumor. Such genetic diversity within a tumor is increasingly recognized as a driver of rapid disease progression, resistance to targeted therapies, and poor survival outcome. It also has important implications in defining "actionable" driver genes in the cancer genome. Inferring subclonal genetic alterations is often confounded by tumor purity, ploidy and local DNA copy number states. We present a statistical framework for inferring intratumor heterogeneity using whole-genome, whole-exome, and targeted capture sequencing data. We demonstrate its performance in large-scale cancer sequencing datasets.

Authors who are presenting talks have a * after their name.

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