Molecular Signatures for Tumor Classification An Analysis of TCGA Data

Cancer classification in the clinic is primarily based on histological analysis in the proper clinical context, often supplemented by immunohistochemical and molecular studies. Recent genomic studies have shown the potential of integrated multiomics platforms for molecular classification. We performed unsupervised analyses of molecular platforms in TCGA data (n  = 6216 samples) in comparison with tumor type. Our data showed that mRNA signatures and DNA methylation signatures mapped to histological diagnosis with high accuracy (95% and 88%, respectively) as individual platforms.
Source: Journal of Molecular Diagnostics - Category: Pathology Authors: Tags: Regular Article Source Type: research