Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer | Zendy

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Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer

Author(s) -

A. Gordon Robertson,

Jaegil Kim,

Hikmat AlAhmadie,

Joaquim Bellmunt,

Guangwu Guo,

Andrew D. Cherniack,

Toshinori Hinoue,

Peter W. Laird,

Katherine A. Hoadley,

Rehan Akbani,

Mauro A. A. Castro,

Ewan A. Gibb,

Rupa S. Kanchi,

Dmitry A. Gordenin,

Sachet A. Shukla,

Francisco Sánchez-Vega,

Donna E. Hansel,

Bogdan Czerniak,

Victor E. Reuter,

Xiaoping Su,

Benílton de Sá Carvalho,

Vinicius S Chagas,

Karen Mungall,

Sara Sadeghi,

Chandra Sekhar Pedamallu,

Yiling Lu,

Leszek J. Klimczak,

Jiexin Zhang,

Caleb Choo,

Akinyemi I. Ojesina,

Susan Bullman,

Kristen Leraas,

Tara M. Lichtenberg,

Catherine J. Wu,

N. Schultz,

Gad Getz,

Matthew Meyerson,

Gordon B. Mills,

David J. McConkey,

John N. Weinstein,

David J. Kwiatkowski,

Seth P. Lerner,

Monique Albert,

Iakovina Alexopoulou,

Adrian Ally,

Tatjana Antic,

Manju Aron,

Miruna Balasundaram,

John M.S. Bartlett,

Stephen B. Baylin,

Allison Beaver,

İnanç Birol,

Lori Boice,

Arnoud Boot,

Jay Bowen,

Reanne Bowlby,

Denise Brooks,

Bradley M. Broom,

Wiam Bshara,

Eric Burks,

Flavio Mavignier Cárcano,

Rebecca Carlsen,

Benilton S. Carvalho,

André Lopes Carvalho,

Eric Castle,

James W.F. Catto,

David Chesla,

Eric Chuah,

Sudha Chudamani,

Victoria K. Cortessis,

Sandra Cottingham,

Daniel Crain,

Erin Curley,

Siamak Daneshmand,

John A. Demchok,

Noreen Dhalla,

Hooman Djaladat,

John Eckman,

Sophie Egea,

Jay Engel,

Ina Felau,

Martin L. Ferguson,

Johanna Gardner,

Julie M. GastierFoster,

Mark Gerken,

Carmen GomezFernandez,

Jodi Harr,

Arndt Hartmann,

Lynn M. Herbert,

Thai H. Ho,

Robert A. Holt,

Carolyn M. Hutter,

Steven J.M. Jones,

Mercè Jordà,

Richard J. Kahnoski,

L. Sylvia,

Phillip H. Lai,

Brian R. Lane,

Jia Liu,

Laxmi Lolla,

Yair Lotan,

Fabiano R. Lucchesi,

Yussanne Ma,

Roberto Días Machado,

Dennis T. Maglinte,

David Mallery,

Marco A. Marra,

Sue Martin,

Michael Mayo,

Anoop Meraney,

Alireza Moinzadeh,

Richard A. Moore,

Edna M. Mora Pinero,

Scott Morris,

Quaid Morris,

Andrew J. Mungall,

Jerome Myers,

Rashi Naresh,

Peter H. O’Donnell,

Dipen J. Parekh,

Jeremy Parfitt,

Joseph Paulauskis,

Robert Penny,

Todd Pihl,

Sima P. Porten,

Mario Quintero-Aguilo,

Nilsa C. Ramirez,

W. Kimryn Rathmell,

Kimberly RiegerChrist,

Charles Saller,

Andrew L. Salner,

George E. Sandusky,

Cristovam ScapulatempoNeto,

Jacqueline E. Schein,

Anne Schuckman,

Nikolaus Schultz,

Candace Shelton,

Troy Shelton,

Jeff Simko,

Parminder Singh,

Payal Sipahimalani,

Norm D. Smith,

Heidi J. Sofia,

Andrea Sorcini,

Melissa Stanton,

Gary D. Steinberg,

Robert Stoehr,

Travis Sullivan,

Qiang Sun,

Angela Tam,

Roy Tarnuzzer,

Katherine Tarvin,

Helge Täubert,

Nina Thiessen,

Leigh B. Thorne,

Kane Tse,

Kelinda Tucker,

David Van Den Berg,

Kim E. van Kessel,

Sven Wach,

Yunhu Wan,

Zhining Wang,

Daniel J. Weisenberger,

Lisa Wise,

Tina Wong,

Ye Wu,

Liming Yang,

Leigh Anne Zach,

Jean C. Zenklusen,

Jiashan Zhang,

Erik Zmuda,

Ellen C. Zwarthoff

Publication year - 2017

Publication title -

cell

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 26.304

H-Index - 776

eISSN - 1097-4172

pISSN - 0092-8674

DOI - 10.1016/j.cell.2017.09.007

Subject(s) - biology , bladder cancer , cancer , computational biology , cancer research , genetics

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.

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