Accession Number : AD1025951


Title :   Advancing Our Understanding of the Etiologies and Mutational Landscapes of Basal Like, Luminal A, and Luminal B Breast Cancers


Descriptive Note : Technical Report,15 Sep 2015,14 Sep 2016


Corporate Author : Wake Forest University Winston Salem United States


Personal Author(s) : Chinnaiyan,Arul ; Li,Christopher ; Porter,Peggy


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1025951.pdf


Report Date : 01 Oct 2016


Pagination or Media Count : 13


Abstract : We are conducting a five-year population-based case-control breast cancer study to identify how various breast cancer risk factors differ in their relationships to different molecular subtypes of breast cancer and to further characterize molecular differences between these subtypes. To address the existing research gaps regarding the etiologies of different molecular subtypes of breast cancer we will employ state of the art multidisciplinary approaches to advance our understanding of the epidemiology and mutational landscapes of basal-like, luminal A, and luminal B tumors. Our original goal was to recruit about 2,700 women in Western Washington who have been diagnosed with breast cancer to compare to 900 women who have never been diagnosed with breast cancer, but control ascertainment has been unacceptably low, so on 8/25/15 we submitted a request to modify the SOW to drop the control group and replace it with an additional 80 to 100 ER cases. Participation in this research includes a detailed telephone interview, collection of breast tissue and oral samples and medical record abstraction. Breast tissue samples will be reviewed and tested at Fred Hutchinson Research Center and special tissue analyses will also be performed at the Michigan Center for Translational Pathology. This research may eventually be of help in developing clinically important insights and treatment protocols for future breast cancer patients. There are no major findings from this study yet as data collection is currently in progress.


Descriptors :   breast cancer , gene expression , neoplasms , mutations , therapeutics , biomedical information systems , epidemiology , pathology , risk analysis , estrogens , receptor sites (physiology)


Distribution Statement : APPROVED FOR PUBLIC RELEASE