학술논문
Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer
Document Type
article
Author
Robertson, A Gordon; Kim, Jaegil; Al-Ahmadie, Hikmat; Bellmunt, Joaquim; Guo, Guangwu; Cherniack, Andrew D; Hinoue, Toshinori; Laird, Peter W; Hoadley, Katherine A; Akbani, Rehan; Castro, Mauro AA; Gibb, Ewan A; Kanchi, Rupa S; Gordenin, Dmitry A; Shukla, Sachet A; Sanchez-Vega, Francisco; Hansel, Donna E; Czerniak, Bogdan A; Reuter, Victor E; Su, Xiaoping; de Sa Carvalho, Benilton; Chagas, Vinicius S; Mungall, Karen L; Sadeghi, Sara; Pedamallu, Chandra Sekhar; Lu, Yiling; Klimczak, Leszek J; Zhang, Jiexin; Choo, Caleb; Ojesina, Akinyemi I; Bullman, Susan; Leraas, Kristen M; Lichtenberg, Tara M; Wu, Catherine J; Schultz, Nicholaus; Getz, Gad; Meyerson, Matthew; Mills, Gordon B; McConkey, David J; Network, TCGA Research; Albert, Monique; Alexopoulou, Iakovina; Ally, Adrian; Antic, Tatjana; Aron, Manju; Balasundaram, Miruna; Bartlett, John; Baylin, Stephen B; Beaver, Allison; Birol, Inanc; Boice, Lori; Bootwalla, Moiz S; Bowen, Jay; Bowlby, Reanne; Brooks, Denise; Broom, Bradley M; Bshara, Wiam; Burks, Eric; Cárcano, Flavio M; Carlsen, Rebecca; Carvalho, Benilton S; Carvalho, Andre L; Castle, Eric P; Castro, Patricia; Catto, James W; Chesla, David W; Chuah, Eric; Chudamani, Sudha; Cortessis, Victoria K; Cottingham, Sandra L; Crain, Daniel; Curley, Erin; Daneshmand, Siamak; Demchok, John A; Dhalla, Noreen; Djaladat, Hooman; Eckman, John; Egea, Sophie C; Engel, Jay; Felau, Ina; Ferguson, Martin L; Gardner, Johanna; Gastier-Foster, Julie M; Gerken, Mark; Gomez-Fernandez, Carmen R; Harr, Jodi
Source
Cell. 171(3)
Subject
Language
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.