Abstract
We report a comprehensive analysis of 412 muscle-invasive bladder cancers characterized by multiple TCGA analytical platforms. Fifty-eight genes were significantly mutated, and the overall mutational load was associated with APOBEC-signature mutagenesis. Clustering by mutation signature identified a high-mutation subset with 75% 5-year survival. mRNA expression clustering refined prior clustering analyses and identified a poor-survival “neuronal” subtype in which the majority of tumors lacked small cell or neuroendocrine histology. Clustering by mRNA, long non-coding RNA (lncRNA), and miRNA expression converged to identify subsets with differential epithelial-mesenchymal transition status, carcinoma in situ scores, histologic features, and survival. Our analyses identified 5 expression subtypes that may stratify response to different treatments. A multiplatform analysis of 412 muscle-invasive bladder cancer patients provides insights into mutational profiles with prognostic value and establishes a framework associating distinct tumor subtypes with clinical options.
Original language | English (US) |
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Pages (from-to) | 540-556.e25 |
Journal | Cell |
Volume | 171 |
Issue number | 3 |
DOIs | |
State | Published - Oct 19 2017 |
Keywords
- APOBEC mutation
- DNA methylation
- basal mRNA subtype
- lncRNA transcriptome
- luminal mRNA subtype
- microRNA
- muscle-invasive bladder cancer
- neoantigen
- neuronal subtype
- regulon
ASJC Scopus subject areas
- General Biochemistry, Genetics and Molecular Biology