TY - JOUR
T1 - Molecular Characterization of Neuroendocrine-like Bladder Cancer
AU - Batista Da Costa, José
AU - Gibb, Ewan A.
AU - Bivalacqua, Trinity J.
AU - Liu, Yang
AU - Oo, Htoo Zarni
AU - Miyamoto, David T.
AU - Alshalalfa, Mohammed
AU - Davicioni, Elai
AU - Wright, Jonathan
AU - Dall’era, Marc A.
AU - Douglas, James
AU - Boormans, Joost L.
AU - Van Der Heijden, Michiel S.
AU - Wu, Chin-lee
AU - Van Rhijn, Bas W.g.
AU - Gupta, Shilpa
AU - Grivas, Petros
AU - Mouw, Kent W.
AU - Murugan, Paari
AU - Fazli, Ladan
AU - Ra, Seong
AU - Konety, Badrinath R.
AU - Seiler, Roland
AU - Daneshmand, Siamak
AU - Mian, Omar Y.
AU - Efstathiou, Jason A.
AU - Lotan, Yair
AU - Black, Peter C.
PY - 2019
Y1 - 2019
N2 - Purpose: Neuroendocrine (NE) bladder carcinoma is a rare and aggressive variant. Molecular subtyping studies have found that 5-15% of muscle-invasive bladder cancer (MIBC) have transcriptomic patterns consistent with NE bladder cancer in the absence of NE histology. The clinical implications of this NE-like subtype have not been explored in depth. Experimental design: Transcriptome-wide expression profiles were generated for MIBC collected from seven institutions and clinical-use of Decipher Bladder. Using unsupervised clustering, we generated a clustering solution on a prospective training cohort (PTC; n=175), developed single-sample classifiers to predict NE tumors, and evaluated the resultant models on a testing radical cystectomy (RC) cohort (n=225). A random forest model was finalized and applied to five validation cohorts (n=1302). Uni- and multivariable survival analyses were used to characterize clinical outcomes. Results: In the training cohort (PTC), hierarchical clustering using an 84 gene panel showed a cluster of eight patients (4.6%) with highly heterogeneous expression of NE markers in the absence of basal or luminal marker expression. NE-like tumors were identified in 1% to 7.1% of cases in validation cohorts. Patients with NE-like tumors had significantly worse 1-year progression free survival (65% NE-like vs 82% overall; p=0.046) and, after adjusting for clinical and pathological factors, had a 6.4-fold increased risk of all-cause mortality (p=0.001). IHC confirmed the neuronal character of these tumors. Conclusion: A single patient classifier was developed that identifies patients with histological urothelial cancer harboring a NE transcriptomic profile. These tumors represent a high-risk subgroup of MIBC which may require different treatment.
AB - Purpose: Neuroendocrine (NE) bladder carcinoma is a rare and aggressive variant. Molecular subtyping studies have found that 5-15% of muscle-invasive bladder cancer (MIBC) have transcriptomic patterns consistent with NE bladder cancer in the absence of NE histology. The clinical implications of this NE-like subtype have not been explored in depth. Experimental design: Transcriptome-wide expression profiles were generated for MIBC collected from seven institutions and clinical-use of Decipher Bladder. Using unsupervised clustering, we generated a clustering solution on a prospective training cohort (PTC; n=175), developed single-sample classifiers to predict NE tumors, and evaluated the resultant models on a testing radical cystectomy (RC) cohort (n=225). A random forest model was finalized and applied to five validation cohorts (n=1302). Uni- and multivariable survival analyses were used to characterize clinical outcomes. Results: In the training cohort (PTC), hierarchical clustering using an 84 gene panel showed a cluster of eight patients (4.6%) with highly heterogeneous expression of NE markers in the absence of basal or luminal marker expression. NE-like tumors were identified in 1% to 7.1% of cases in validation cohorts. Patients with NE-like tumors had significantly worse 1-year progression free survival (65% NE-like vs 82% overall; p=0.046) and, after adjusting for clinical and pathological factors, had a 6.4-fold increased risk of all-cause mortality (p=0.001). IHC confirmed the neuronal character of these tumors. Conclusion: A single patient classifier was developed that identifies patients with histological urothelial cancer harboring a NE transcriptomic profile. These tumors represent a high-risk subgroup of MIBC which may require different treatment.
U2 - 10.1158/1078-0432.CCR-18-3558
DO - 10.1158/1078-0432.CCR-18-3558
M3 - Article
C2 - 30952638
SN - 1078-0432
JO - Clinical Cancer Research
JF - Clinical Cancer Research
ER -