Our hypothesis is that the analysis of phenotypically homogeneous subsets of breast cancers will lead to the identification of novel drivers of the disease and pathognomonic mutations. Our goals are to develop a predictive classification system for these rare types of breast cancer and to define potential therapeutic targets that can be used to manage not only tumors of each of these special histological types but also subsets of the common types of the disease.
Our laboratory also investigates the impact of intratumor genetic heterogeneity on the biology and clinical behavior of breast cancers. Our hypothesis is that breast cancers are mosaics composed of cancer cell clones that, in addition to the founder genetic events, harbor private mutations, and that these mutations play a role in the ability of cancer cells to metastasize and become resistant to chemotherapy and targeted agents.
Our goal is to use this knowledge to develop and validate diagnostic, prognostic, and predictive biomarkers. We are currently investigating whether circulating DNA and/or circulating tumor cells can be used to define the entire constellation of mutations found in primary and metastatic breast cancers and how the genetic analyses of these biological materials could complement the information obtained from the analysis of primary tumor samples for clinical decision making.