Proteomic Prediction of Breast Cancer Risk: A Cohort Study
Abstract
Our objective is to develop and test proteomic methods for the prediction of breast cancer risk, an approach that has not been attempted previously. Our underlying hypothesis is that proteomic analysis of serum will identify proteins differentially expressed in women who do versus those who do not develop invasive breast cancer, and that these differences will be identifiable prior to the clinical presentation of breast cancer. Our work will be conducted in two phases, a training phase and a test phase. Both phases will be conducted as case-control studies nested in a population-based cohort of women who were members of Kaiser Permanente and has serum specimens collected between 1986 and 1992. To date, we have finalized our cohort definition, finalized the definition of cases and controls; finalized the criteria for matching controls to cases; selected the cases and controls; and initiated the pulling, testing, and aliquoting of the serum specimens. Furthermore, we have developed an extremely detailed protocol for proteomic analysis of the serum samples. Briefly, the serum sample is loaded onto an immunoaffinity column to deplete twelve abundant proteins, and the flow-through fraction is collected and subjected to reduction, alkylation, and digestion. Subsequently, the digested proteins are labeled with iTRAQ reagents and prefractionated with cation exchange chromatography. Each fraction is loaded onto the reverse phase column and followed by MALDI-TOF/TOF (4700 Proteomic Analyzer) analyses. The data collected are automatically processed, combined, and searched against human protein database. There are no research accomplishments or reportable outcomes to date (end of year 1). Previous proteomic studies of breast cancer have used lower resolution proteomic approaches in cross-sectional settings only.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 2006
- Accession Number
- ADA451401
Entities
People
- Thomas E. Rohan
Organizations
- Albert Einstein College of Medicine