Open AccessClinical Parameters Outperform Molecular Subtypes for Predicting Outcome in Bladder Cancer: Results from Multiple Cohorts, Including TCGA
Author(s) -
Daley S. Morera,
Sarrah L. Hasanali,
Daniel Belew,
Santu Ghosh,
Zachary Klaassen,
Andre R. Jordan,
Jiaojiao Wang,
Martha K. Terris,
Roni J. Bollag,
Axel S. Merseburger,
Arnulf Stenzl,
Mark S. Soloway,
Vinata B. Lokeshwar
Publication year - 2020
Publication title -
the journal of urology/the journal of urology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.402
H-Index - 256
eISSN - 1527-3792
pISSN - 0022-5347
DOI - 10.1097/ju.0000000000000351
Subject(s) - medicine , bladder cancer , oncology , outcome (game theory) , cancer , mathematics , mathematical economics
Studies indicate that molecular subtypes in muscle invasive bladder cancer predict the clinical outcome. We evaluated whether subtyping by a simplified method and established classifications could predict the clinical outcome.