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Intrinsic subtypes of high-grade bladder cancer reflect the hallmarks of breast cancer biology

  • Jeffrey S. Damrauer
  • , Katherine A. Hoadley
  • , David D. Chism
  • , Cheng Fan
  • , Christopher J. Tignanelli
  • , Sara E. Wobker
  • , Jen Jen Yeh
  • , Matthew I. Milowsky
  • , Gopa Iyer
  • , Joel S. Parker
  • , William Y. Kim

Research output: Contribution to journal › Article › peer-review

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 highgrade, 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.

Original languageEnglish (US)
Pages (from-to)3110-3115
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume111
Issue number8
DOIs
StatePublished - Feb 25 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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