Accession Number : ADA595681

Title :   Development of Technologies for Early Detection and Stratification of Breast Cancer

Descriptive Note : Annual rept. 29 Sep 2012-28 Sep 2013

Corporate Author : TUFTS UNIV MEDFORD MA

Personal Author(s) : Walt, David R ; Chiu, Daniel ; Kuperwasser, Charlotte ; Sonenshein, Gail ; Buchsbaum, Rachel

Full Text :

Report Date : Oct 2013

Pagination or Media Count : 40

Abstract : The overall goal of this work is to develop ultra-sensitive detection techniques to identify a panel of new biomarkers and indicators with diagnostic and predictive value in breast cancer. During year 1, we identified candidate breast cancer biomarkers and developed ultra-sensitive assays for several of them. Two different miRNA single molecule assay approaches have also been investigated and both showed promise for achieving similar ultrasensitive data using miRNA as targets. Continuing work on this assay includes increasing efficiency and decreasing the background. Circulating tumor cell isolation using microfluidics has been accomplished and these methods will soon be integrated with the single molecule detection approach. Good progress on identifying additional markers (miRNA, mtDNA, ADAM8) has been made. Further work to validate whether these markers are useful for detecting early stage breast cancer or tumor aggressiveness is underway. Finally, we have begun testing serum collected from a Human-in-Mouse (HIM) model of breast cancer using the assays developed.


Subject Categories : Anatomy and Physiology
      Medicine and Medical Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE