title: Intrinsic subtypes of high-grade bladder cancer reflect the hallmarks of breast cancer biology.
abstract: We sought to define whether there are intrinsic molecular subtypes of high-grade bladder cancer. Consensus clustering performed on gene expression data from a meta-dataset of high-grade, muscle-invasive bladder tumors identified two intrinsic, molecular subsets of high-grade bladder cancer, termed "luminal" and "basal-like," which have characteristics of different stages of urothelial differentiation, reflect the luminal and basal-like molecular subtypes of breast cancer, and have clinically meaningful differences in outcome. A gene set predictor, bladder cancer analysis of subtypes by gene expression (BASE47) was defined by prediction analysis of microarrays (PAM) and accurately classifies the subtypes. Our data demonstrate that there are at least two molecularly and clinically distinct subtypes of high-grade bladder cancer and validate the BASE47 as a subtype predictor. Future studies exploring the predictive value of the BASE47 subtypes for standard of care bladder cancer therapies, as well as novel subtype-specific therapies, will be of interest.
authors: Department of Genetics, Department of Medicine, Division of Hematology/Oncology, Department of Surgery, Department of Pathology and Laboratory Medicine, and Department of Pharmacology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
authors: Jeffrey S
authors: JS
authors: Damrauer
authors: Katherine A
authors: KA
authors: Hoadley
authors: David D
authors: DD
authors: Chism
authors: Cheng
authors: C
authors: Fan
authors: Christopher J
authors: CJ
authors: Tiganelli
authors: Sara E
authors: SE
authors: Wobker
authors: Jen Jen
authors: JJ
authors: Yeh
authors: Matthew I
authors: MI
authors: Milowsky
authors: Gopa
authors: G
authors: Iyer
authors: Joel S
authors: JS
authors: Parker
authors: William Y
authors: WY
authors: Kim
mesh_terms: D001943:Breast Neoplasms / Q000145:classification; D016000:Cluster Analysis; D020869:Gene Expression Profiling / Q000379:methods; D015972:Gene Expression Regulation, Neoplastic / Q000235:genetics*; D006801:Humans; D046228:Microarray Analysis; D008954:Models, Biological; D011237:Predictive Value of Tests; D001749:Urinary Bladder Neoplasms / Q000145:classification* / Q000235:genetics*