Oncotarget. 2018 May 25;9(40):25935-25945. doi: 10.18632/oncotarget.25407. eCollection 2018 May 25.
Subclassification, survival prediction and drug target analyses of chemotherapy-naïve muscle-invasive bladder cancer with a molecular screening.
Rinaldetti S1, Rempel E2,3, Worst TS3,4, Eckstein M5, Steidler A4, Weiss CA6, Bolenz C7, Hartmann A5, Erben P4.
Abstract
BACKGROUND:
Transcriptome expression studies identified distinct muscle invasive bladder cancer (MIBC) subtypes closely related with breast cancer subclasses. Here we developed a sensitive quantification method for MIBC subclassification (luminal, basal, p53-like). In addition, the subtype specific expression of drug targets has been investigated.
METHODS:
Absolute quantification (nCounter) of a 64-gene panel was performed on MIBC patients (n=47) treated exclusively with radical cystectomy (RC). In conjunction of 170 MIBCs from 3 independent cohorts, a minimal set of consensus genes has been established. Survival of the consensus subtypes has been assessed by multivariate analysis. Relevant drug targets were tested for their subtype specificity in a clustering independent assessment.
RESULTS:
A reduced 36-gene panel stably clustered into 3 subtypes throughout the cohorts (luminal, basal, infiltrated). Patients treated by RC only, showed worst 8-year disease specific survival (DSS) for the luminal subtype in contrast to the infiltrated subtype (17% vs. 73%, p=0.011). In multivariate analyses, the risk stratification based on luminal versus not-luminal MIBC proved to be an independent predictor for DSS superior to the TNM system in patients with RC. Drug targets (e.g. ERBB2, FGFR, AR, PDGFRB) showed a distinct subtype attribution. The subtypes based on this nCounter screening could further be validated by the TCGA cohort.
CONCLUSION:
This MIBC subtype screening predicted survival and allowed an analysis of subtype specific drug targets, thus being a powerful tool for the translation of personalized MIBC treatment concepts.
KEYWORDS:
biomarkers; bladder cancer subtypes; drug targets; gene expression; survival prediction
- PMID:
- 29899832
- PMCID:
- PMC5995241
- DOI:
- 10.18632/oncotarget.25407
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