Breast Cancer, Omics, and Precision Medicine

The standard tissue biopsy strategy for cancer detection is not comprehensive enough to profile the whole epi-genomic signatures of breast cancer (BC) and ensure an accurate prognosis and prediction of drug response. Liquid-based assays have the potential to reduce the molecular heterogeneity of BC and a possible utility for improving disease management. In particular, genomic DNA (gDNA) and circulating tumor (ctDNA) can be sequenced for genetic and epigenetic (DNA methylation) profiling of the BC patients to enhance personalized prognosis and prediction of drug therapy. We describe a study protocol for evaluating the clinical utility of the early use of the network-oriented BR(E)2ASTOME algorithm which combine the power of liquid-based assays, advanced epi-genomics platform, and network analysis to identify improve precision medicine and personalized therapy of BC.