Subtype classification, grading, and outcome prediction of urothelial carcinomas by combined mRNA profiling and aCGH

ABSTRACT: [original title] Combined gene expression and genomic profiling define two intrinsic molecular subtypes of urothelial carcinoma and gene signatures for molecular grading and outcome. In the present investigation we sought to refine the classification of urothelial carcinoma by combining information on gene expression, genomic, and gene mutation levels. For these purposes we performed gene expression analysis of 144 carcinomas, and whole genome array-CGH analysis and mutation analyses of FGFR3, PIK3CA, KRAS, HRAS, NRAS, TP53, CDKN2A, and TSC1, in 103 of these cases. Hierarchical cluster analysis identified two intrinsic molecular subtypes, MS1 and MS2, which were validated and defined by the same set of genes in three independent bladder cancer data sets. The two subtypes differed with res

ORGANISM(S): Homo sapiens

SUBMITTER: David Lindgren 

PROVIDER: E-GEOD-19915 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress