1. An integrated multi-omics analysis identifies prognostic molecular subtypes of non-muscle-invasive bladder cancer
- Author
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Roman Nawroth, Richard T. Bryan, Philippe Lamy, Tobias Maurer, Margaret A. Knowles, Gregers G. Hermann, Marc-Oliver Grimm, Ann Taber, Torben Steiniche, Jørgen Bjerggaard Jensen, David J. DeGraff, Francisco X. Real, Karin Mogensen, Joshua I. Warrick, Jay D. Raman, Anshita Goel, Ulrika Segersten, Karin Birkenkamp-Demtröder, Emil Christensen, Clarice S. Groeneveld, Xiaoqi Lin, Joshua J. Meeks, Brian J. Jordan, Núria Malats, Trine Strandgaard, Sia Viborg Lindskrog, Mateo Sokac, Frederik Prip, Gottfrid Sjödahl, Ellen C. Zwarthoff, Tatjana Simic, Iver Nordentoft, Marcus Horstmann, Lasse Maretty, Douglas G. Ward, Dejan Dragicevic, Veronika Weyerer, Carolyn D. Hurst, Aurélien de Reyniès, Kim E.M. van Kessel, Per-Uno Malmström, Astrid Christine Petersen, Arndt Hartmann, Danijel Sikic, Mattias Höglund, Lars Dyrskjøt, Nicolai Juul Birkbak, and Pathology
- Subjects
Cancer microenvironment ,0301 basic medicine ,Oncology ,medicine.medical_specialty ,Science ,General Physics and Astronomy ,Disease ,Biology ,Proteomics ,Article ,General Biochemistry, Genetics and Molecular Biology ,Transcriptome ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,Internal medicine ,Chromosome instability ,Urologi och njurmedicin ,Cancer genomics ,medicine ,Urology and Nephrology ,Progression-free survival ,Biomarker discovery ,Cancer och onkologi ,Multidisciplinary ,Bladder cancer ,General Chemistry ,medicine.disease ,Subtyping ,Computational biology and bioinformatics ,030104 developmental biology ,Cancer and Oncology ,030220 oncology & carcinogenesis - 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 with NMIBC (n = 834). Transcriptomic analysis identifies four classes (1, 2a, 2b and 3) reflecting tumor biology and disease aggressiveness. Both transcriptome-based subtyping and the level of chromosomal instability provide independent prognostic value beyond established prognostic clinicopathological parameters. High chromosomal instability, p53-pathway disruption and APOBEC-related mutations are significantly associated with transcriptomic class 2a and poor outcome. RNA-derived immune cell infiltration is associated with chromosomally unstable tumors and enriched in class 2b. Spatial proteomics analysis confirms the higher infiltration of class 2b tumors and demonstrates an association between higher immune cell infiltration and lower recurrence rates. Finally, the independent prognostic value of the transcriptomic classes is documented in 1228 validation samples using a single sample classification tool. The classifier provides a framework for biomarker discovery and for optimizing treatment and surveillance in next-generation clinical trials., Multiple molecular profiling methods are required to study urothelial non-muscle-invasive bladder cancer (NMIBC) due to its heterogeneity. Here the authors integrate multi-omics data of 834 NMIBC patients, identifying a molecular subgroup associated with multiple alterations and worse outcomes.
- Published
- 2021