Journal
NATURE COMMUNICATIONS
Volume 12, Issue 1, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41467-021-22465-w
Keywords
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Funding
- Aarhus University
- Health Research Foundation of Central Denmark Region
- Danish Cancer Society
- Fondo de Investigaciones Sanitarias (FIS)
- Instituto de Salud Carlos III, Spain [PI18/01347]
- Asociacion Espanola Contra el Cancer (AECC) [GB28012014]
- American Cancer Society [RSG 17-233-01-TBE]
- W.W. Smith Charitable Trust
- Pennsylvania Department of Health via Tobacco CURE Funds
- Ken and Bonnie Shockey Fund for Urologic Research
- Bladder Cancer Support Group at Penn State Health
- Laurence M. Demers Career Development Professorship in Pathology and Medicine, Pennsylvania State University
- Ken and Bonnie Shockey Fund for Urologic Research at Penn State Health
- Department of Defense [W81XWH-18-0257, BX003692-01]
- HOPE Foundation
- Danish Cancer Biobank
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Non-muscle-invasive bladder cancer shows large biological heterogeneity, with transcriptomic analysis identifying four classes that reflect disease aggressiveness and patient outcomes. Chromosomal instability, p53 pathway disruption, and APOBEC-related mutations are significantly associated with tumor class 2a and poorer outcomes.
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.
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