Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Bladder-RI


ABSTRACT: A Cartes dM-^RIdentite 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 M-^QMIBC molecular subtype': tumors classification using consensus clustering.

ORGANISM(S): Homo sapiens

SUBMITTER: Nabila Elarouci 

PROVIDER: E-MTAB-1803 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications


Muscle-invasive bladder carcinoma (MIBC) constitutes a heterogeneous group of tumors with a poor outcome. Molecular stratification of MIBC may identify clinically relevant tumor subgroups and help to provide effective targeted therapies. From seven series of large-scale transcriptomic data (383 tumors), we identified an MIBC subgroup accounting for 23.5% of MIBC, associated with shorter survival and displaying a basal-like phenotype, as shown by the expression of epithelial basal cell markers. B  ...[more]

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