European Urology, Journal Year: 2018, Volume and Issue: 73(5), P. 738 - 748
Published: April 11, 2018
Language: Английский
European Urology, Journal Year: 2018, Volume and Issue: 73(5), P. 738 - 748
Published: April 11, 2018
Language: Английский
Nature, Journal Year: 2018, Volume and Issue: 554(7693), P. 544 - 548
Published: Feb. 1, 2018
Language: Английский
Citations
4021European 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
1021Nature Reviews Disease Primers, Journal Year: 2017, Volume and Issue: 3(1)
Published: April 12, 2017
Language: Английский
Citations
700Cell, Journal Year: 2018, Volume and Issue: 173(2), P. 515 - 528.e17
Published: April 1, 2018
Language: Английский
Citations
690Nature reviews. Cancer, Journal Year: 2020, Volume and Issue: 21(2), P. 104 - 121
Published: Dec. 2, 2020
Language: Английский
Citations
518Nature Reviews Urology, Journal Year: 2018, Volume and Issue: 15(10), P. 615 - 625
Published: July 10, 2018
Language: Английский
Citations
388The 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
319Nature 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
263Cancer Cell, Journal Year: 2017, Volume and Issue: 32(5), P. 701 - 715.e7
Published: Nov. 1, 2017
Language: Английский
Citations
256European Urology, Journal Year: 2018, Volume and Issue: 75(3), P. 423 - 432
Published: Sept. 10, 2018
Language: Английский
Citations
256