Impact of Molecular Subtypes in Muscle-invasive Bladder Cancer on Predicting Response and Survival after Neoadjuvant Chemotherapy
Creators: name: Kiss, Bernhard
name: Boormans, Joost L.
name: Fransen van de Putte, Elisabeth E.
name: Gibb, Ewan A.
name: Douglas, James
name: Sjödahl, Gottfrid
name: Ashab, Hussam Al Deen
name: Sommerlad, Matthew
name: Kim, William Y.
name: Black, Peter C.
name: Buerki, Christine
name: Wang, Natalie Q.
name: Wright, Jonathan
name: Davicioni, Elai
name: Kardos, Jordan
name: van der Heijden, Michiel S.
name: Choi, Woonyoung
name: Lerner, Seth P.
name: Palmer-Aronsten, Beatrix
name: Choeurng, Voleak
name: Van Kessel, Kim E.
name: Zwarthoff, Ellen C.
name: McConkey, David J.
name: Crabb, Simon J.
name: Lam, Lucia L.
name: Dall'Era, Marc
name: Erho, Nicholas
name: Hoadley, Katherine A.
name: Todenhöfer, Tilman
name: Winters, Brian
name: Thalmann, George N.
name: van Rhijn, Bas W.G.
name: North, Scott
name: Seiler, Roland
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2017

description: AbstractBackgroundAn early report on the molecular subtyping of muscle-invasive bladder cancer (MIBC) by gene expression suggested that response to neoadjuvant chemotherapy (NAC) varies by subtype.ObjectiveTo investigate the ability of molecular subtypes to predict pathological downstaging and survival after NAC.Design, setting, and participantsWhole transcriptome profiling was performed on pre-NAC transurethral resection specimens from 343 patients with MIBC. Samples were classified according to four published molecular subtyping methods. We developed a single-sample genomic subtyping classifier (GSC) to predict consensus subtypes (claudin-low, basal, luminal-infiltrated and luminal) with highest clinical impact in the context of NAC. Overall survival (OS) according to subtype was analyzed and compared with OS in 476 non-NAC cases (published datasets).InterventionGene expression analysis was used to assign subtypes.Outcome measurements and statistical analysisReceiver-operating characteristics were used to determine the accuracy of GSC. The effect of GSC on survival was estimated by Cox proportional hazard regression models.Results and limitationsThe models generated subtype calls in expected ratios with high concordance across subtyping methods. GSC was able to predict four consensus molecular subtypes with high accuracy (73%), and clinical significance of the predicted consensus subtypes could be validated in independent NAC and non-NAC datasets. Luminal tumors had the best OS with and without NAC. Claudin-low tumors were associated with poor OS irrespective of treatment regimen. Basal tumors showed the most improvement in OS with NAC compared with surgery alone. The main limitations of our study are its retrospective design and comparison across datasets.ConclusionsMolecular subtyping may have an impact on patient benefit to NAC. If validated in additional studies, our results suggest that patients with basal tumors should be prioritized for NAC. We discovered the first single-sample classifier to subtype MIBC, which may be suitable for integration into routine clinical practice.Patient summaryDifferent molecular subtypes can be identified in muscle-invasive bladder cancer. Although cisplatin-based neoadjuvant chemotherapy improves patient outcomes, we identified that the benefit is highest in patients with basal tumors. Our newly discovered classifier can identify these molecular subtypes in a single patient and could be integrated into routine clinical practice after further validation.