Large-scale integration of genomics, proteomics and clinical records identifies cancer risk proteins and potential therapeutics
Researchers at VUMC and the University of Calgary have established an analytical framework that integrates genomic, proteomic and electronic health record data to identify cancer risk proteins and therapeutics for cancer prevention. The study, reported Dec. 2 in the American Journal of Human Genetics by co-senior author Xingyi Guo, PhD (Epidemiology), and colleagues, identifies previously unreported protein biomarkers and candidate drug targets across six major cancer types and highlights approved drugs with potential cancer preventive effects.