UROMOL 2020 - RNA-seq data - EGA European Genome-Phenome Archive UROMOL 2020 - RNA-seq data The molecular landscape in non-muscle-invasive bladder cancer (NMIBC) is characterized by large biological heterogeneity with variable clinical outcomes Here, we performed a large integrative multi-omics analysis of patients diagnosed with NMIBC (n=834)
Prediction of bladder cancer disease course using risk scores that . . . Executive Summary: The main objective of the UROMOL project was to predict bladder cancer disease course using risk scores that combine molecular and clinical risk factors We tested new and highly promising molecular predictive markers in an optimized fashion including a prospective multicenter collection of tissues and urines, in a