Hurst, CD, Cheng, G, Platt, FM et al. (16 more authors) (Cover date: 21 December 2021) Stage-stratified molecular profiling of non-muscle-invasive bladder cancer provides improved biological, clinical and therapeutic insights. Cell Reports Medicine, 2 (12). 100472. ISSN 2666-3791
Abstract
Understanding the molecular determinants that underpin the clinical heterogeneity of non-muscle-invasive bladder cancer (NMIBC) is essential for prognostication and therapy development. Stage T1 disease in particular presents a high risk of progression and requires improved understanding. We present a detailed multi-omics study containing gene expression, copy number, and mutational profiles that show relationships to immune infiltration, disease recurrence, and progression to muscle invasion. We compare expression and genomic subtypes derived from all NMIBCs with those derived from the individual disease stages Ta and T1. We show that sufficient molecular heterogeneity exists within the separate stages to allow subclassification and that this is more clinically meaningful for stage T1 disease than that derived from all NMIBCs. This provides improved biological understanding and identifies subtypes of T1 tumors that may benefit from chemo- or immunotherapy.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | non-muscle-invasive bladder cancer, NMIBC, stage Ta, stage T1, genomics, transcriptomics, copy number, classification, clinical outcome, PPAR gamma |
Dates: |
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Institution: | The University of Leeds |
Funding Information: | Funder Grant number Yorkshire Cancer Research L376PA |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Nov 2021 10:51 |
Last Modified: | 06 May 2024 00:14 |
Published Version: | https://www.cell.com/cell-reports-medicine/fulltex... |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.xcrm.2021.100472 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:180805 |