Predicting Response to Intravesical Bacillus Calmette-Guérin Immunotherapy: Are We There Yet? A Systematic Review DOI
Ashish M. Kamat, Roger Li, Michael A. O’Donnell

et al.

European Urology, Journal Year: 2018, Volume and Issue: 73(5), P. 738 - 748

Published: April 11, 2018

Language: Английский

TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells DOI
Sanjeev Mariathasan, Shannon J. Turley, Dorothee Nickles

et al.

Nature, Journal Year: 2018, Volume and Issue: 554(7693), P. 544 - 548

Published: Feb. 1, 2018

Language: Английский

Citations

4021

A Consensus Molecular Classification of Muscle-invasive Bladder Cancer DOI Creative Commons

Aurélie Kamoun,

Aurélien de Reyniès,

Yves Allory

et al.

European Urology, Journal Year: 2019, Volume and Issue: 77(4), P. 420 - 433

Published: Sept. 26, 2019

Muscle-invasive bladder cancer (MIBC) is a molecularly diverse disease with heterogeneous clinical outcomes. Several molecular classifications have been proposed, but the diversity of their subtype sets impedes application. To achieve an international consensus on MIBC subtypes that reconciles published classification schemes. We used 1750 transcriptomic profiles from 16 datasets and two additional cohorts. performed network-based analysis six independent systems to identify set classes. Association survival was assessed using multivariable Cox models. report results effort reach subtypes. identified classes: luminal papillary (24%), nonspecified (8%), unstable (15%), stroma-rich basal/squamous (35%), neuroendocrine-like (3%). These classes differ regarding underlying oncogenic mechanisms, infiltration by immune stromal cells, histological characteristics, including provide single-sample classifier assigns class label tumor sample's transcriptome. Limitations work are retrospective data collection lack complete information patient treatment. This system offers robust framework will enable testing validation predictive biomarkers in future prospective trials. Bladder cancers at level, scientists proposed several into While these may be useful stratify patients for prognosis or response treatment, would facilitate use Conducted multidisciplinary expert teams field, this study proposes such provides tool applying setting.

Language: Английский

Citations

1021

Bladder cancer DOI
Öner Şanlı, Jakub Dobruch, Margaret A. Knowles

et al.

Nature Reviews Disease Primers, Journal Year: 2017, Volume and Issue: 3(1)

Published: April 12, 2017

Language: Английский

Citations

700

Tumor Evolution and Drug Response in Patient-Derived Organoid Models of Bladder Cancer DOI Creative Commons

Suk Hyung Lee,

Wenhuo Hu, Justin T. Matulay

et al.

Cell, Journal Year: 2018, Volume and Issue: 173(2), P. 515 - 528.e17

Published: April 1, 2018

Language: Английский

Citations

690

Advances in bladder cancer biology and therapy DOI
Linda L. Tran, Jin-Fen Xiao, Neeraj Agarwal

et al.

Nature reviews. Cancer, Journal Year: 2020, Volume and Issue: 21(2), P. 104 - 121

Published: Dec. 2, 2020

Language: Английский

Citations

518

Mechanisms of BCG immunotherapy and its outlook for bladder cancer DOI
C. Pettenati, Molly A. Ingersoll

Nature Reviews Urology, Journal Year: 2018, Volume and Issue: 15(10), P. 615 - 625

Published: July 10, 2018

Language: Английский

Citations

388

Molecular classification of urothelial carcinoma: global mRNA classification versus tumour-cell phenotype classification DOI Creative Commons
Gottfrid Sjödahl, Pontus Eriksson, Fredrik Liedberg

et al.

The Journal of Pathology, Journal Year: 2017, Volume and Issue: 242(1), P. 113 - 125

Published: Feb. 13, 2017

Abstract Global mRNA expression analysis is efficient for phenotypic profiling of tumours, and has been used to define molecular subtypes almost every major tumour type. A key limitation that most tumours are communities both non‐tumour cells. This problem particularly pertinent advanced invasive which known induce changes responses in the surrounding tissue. To identify bladder cancer tumour‐cell phenotypes compare classification by phenotype with global gene analysis, we analysed 307 cancers (cystectomized) genome immunohistochemistry antibodies 28 proteins. According systematic protein data, focusing on processes, describe five urothelial carcinoma: urothelial‐like, genomically unstable, basal/ SCC ‐like, mesenchymal‐like, small‐cell/neuroendocrine‐like. We provide pathological definitions each subtype. Tumours expressing differentiation factors show inconsistent abnormal terminal markers, suggesting pseudo‐differentiation. Cancers different may co‐cluster (converge), cases identical cluster apart (diverge), analyses. divergence/convergence suggests broad commonalities related process exist between muscle‐invasive regardless specific phenotype. Hence, there a disagreement subtype determined immunohistochemical at level. suggest combination pathology (tumour‐cell phenotype) (context) required adequate cancer. © 2017 The Authors. Journal Pathology published John Wiley & Sons Ltd behalf Pathological Society Great Britain Ireland.

Language: Английский

Citations

319

An integrated multi-omics analysis identifies prognostic molecular subtypes of non-muscle-invasive bladder cancer DOI Creative Commons
Sia V. Lindskrog, Frederik Prip, Philippe Lamy

et al.

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: April 16, 2021

Abstract The molecular landscape in non-muscle-invasive bladder cancer (NMIBC) is characterized by large biological heterogeneity with variable clinical outcomes. Here, we perform an integrative multi-omics analysis of patients diagnosed NMIBC ( n = 834). Transcriptomic identifies four classes (1, 2a, 2b and 3) reflecting tumor biology disease aggressiveness. Both transcriptome-based subtyping the level chromosomal instability provide independent prognostic value beyond established clinicopathological parameters. High instability, p53-pathway disruption APOBEC-related mutations are significantly associated transcriptomic class 2a poor outcome. RNA-derived immune cell infiltration chromosomally unstable tumors enriched 2b. Spatial proteomics confirms higher demonstrates association between lower recurrence rates. Finally, documented 1228 validation samples using a single sample classification tool. classifier provides framework for biomarker discovery optimizing treatment surveillance next-generation trials.

Language: Английский

Citations

263

Genomic Subtypes of Non-invasive Bladder Cancer with Distinct Metabolic Profile and Female Gender Bias in KDM6A Mutation Frequency DOI Creative Commons
Carolyn D. Hurst, Olivia Alder,

Fiona M. Platt

et al.

Cancer Cell, Journal Year: 2017, Volume and Issue: 32(5), P. 701 - 715.e7

Published: Nov. 1, 2017

Language: Английский

Citations

256

Molecular Subtypes of Urothelial Bladder Cancer: Results from a Meta-cohort Analysis of 2411 Tumors DOI
Tuan Zea Tan, Mathieu Rouanne, Kien Thiam Tan

et al.

European Urology, Journal Year: 2018, Volume and Issue: 75(3), P. 423 - 432

Published: Sept. 10, 2018

Language: Английский

Citations

256