Transcription profiling by array of human muscle-invasive bladder cancer samples

A Cartes d’Identite des Tumeurs (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net/). Seven transcriptome datasets corresponding to a new series of 85 MIBC (Muscle-invasive bladder cancer) and six publicly-available series (298 MIBC) were analyzed. Tumors were classified by consensus clustering. Overall survival was determined from Kaplan-Meier curves. The role of the EGFR pathway was investigated by pathway bioinformatics analysis, determination of the expression levels of its components (by microarray, RT-qPCR and western blot) and of EGFR copy number by CGH arrays. A 40-gene transcriptomic classifier was used to identify basal-like cell lines and a basal-like mouse model. Please note 'MIBC molecular subtype': tumors classification using consensus clustering.