Development of Technologies for Early Detection and Stratification of Breast Cancer
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. To date, we have successfully created 13 Single Molecular Array (SiMoA) assays which will be further utilized for determining biomarker concentrations in breast cancer patients. We are screening multiple biomarkers in breast cancer patient and healthy control samples and using additional markers, such as mtDNA, to improve the sensitivity and specificity of these assays. We used PSA to demonstrate that biomarkers can be measured at ultra sensitive levels within serum using SiMoA prior to tumor formation in a mouse model. We have successfully achieved full quantification of protein molecules within single cancer cells and discovered that highly cultured cells exhibited different protein expression levels than low-passage cells. Future work will also focus on integrating ensemble Decision Aliquot Ranking (eDAR) with SiMoA to increase the throughput of the overall system.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2015
- Accession Number
- AD1002971
Entities
People
- Charlotte Kuperwasser
- David R. Walt
- Gail Sonenshein
- Rachel Buchsbaum
Organizations
- Tufts University