Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Molecular Characterization of Neuroendocrine-like Bladder Cancer

José Batista da Costa, Ewan A. Gibb, Trinity J. Bivalacqua, Yang Liu, Htoo Zarni Oo, David T. Miyamoto, Mohammed Alshalalfa, Elai Davicioni, Jonathan L. Wright, Marc Dall’Era, James J. Douglas, Joost L. Boormans, Michiel S. van der Heijden, Chin‐Lee Wu, Bas W.G. van Rhijn, Shilpa Gupta, Petros Grivas, Kent W. Mouw, Paari Murugan, Ladan Fazli, Seong Ra, Badrinath R. Konety, Roland Seiler, Siamak Daneshmand, Omar Y. Mian, Jason A. Efstathiou, Yair Lotan, Peter C. Black

Clinical Cancer Research · 2019

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Summary

This multi-institutional molecular profiling study identified a rare neuroendocrine-like transcriptomic subtype present in 1–6.6% of muscle-invasive bladder cancers, characterised by heterogeneous expression of neuroendocrine markers without basal or luminal gene expression. Patients with NE-like tumours demonstrated significantly worse clinical outcomes, including reduced 1-year progression-free survival (65% versus 82% overall) and a 6.4-fold increased risk of all-cause mortality after adjustment for clinical and pathologic factors. The authors developed and validated a single-sample random forest classifier that may enable identification of this high-risk subgroup for potential treatment stratification.

UK applicability

This molecular profiling approach could inform urological cancer pathology and treatment stratification in UK NHS centres if validated prospectively. However, the findings are specific to bladder cancer histopathology and do not directly relate to UK farming systems or agricultural food production.

Key measures

84-gene panel expression profiles; 1-year progression-free survival rates; multivariable hazard ratios for all-cause mortality; immunohistochemistry confirmation of neuroendocrine markers

Outcomes reported

The study identified a neuroendocrine-like (NE-like) transcriptomic subtype within muscle-invasive bladder cancer (MIBC) using gene expression profiling and developed a single-sample classifier to predict this high-risk phenotype. Clinical outcomes measured included progression-free survival at 1 year and all-cause mortality risk stratification.

Theme
General food systems / other
Subject
Other / interdisciplinary
Study type
Research
Study design
Observational cohort with prospective training, testing, and validation phases
Source type
Peer-reviewed study
Status
Published
Geography
United States
System type
Human clinical
DOI
10.1158/1078-0432.ccr-18-3558
Catalogue ID
BFmor3gdee-dqpn2i

Topic tags

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