Genome-wide identification and analysis of prognostic features in human cancers.

Abstract excerpt

Clinical decisions in cancer rely on precisely assessing patient risk. To improve our ability to identify the most aggressive malignancies, we constructed genome-wide survival models using gene expression, copy number, methylation, and mutation data from 10,884 patients. We identified more than 100,000 significant prognostic biomarkers and demonstrate that these genomic features can predict patient outcomes in...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Cancer Genomics and Diagnostics
• Share to Ferroptosis and cancer prognosis
• Share to Genetic factors in colorectal cancer