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Bladder Cancer (TCGA, Cell 2017): Comprehensive analysis of muscle-invasive bladder cancers characterized by multiple TCGA analytical platforms.

UID: 10400

Author(s): 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 A. A., Gibb, Ewan A., Kanchi, Rupa S., Gordenin, Dmitry A., Shukla, Sachet A., Sanchez-Vega, Francisco*, Hansel, Donna E., Czerniak, Bogdan A., Reuter, Victor*, Su, Xiaoping, 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, Nikolaus D.*, Getz, Gad, Meyerson, Matthew, Mills, Gordon B., McConkey, David J., TCGA Research Network, Weinstein, John N., Kwiatkowski, David J., Lerner, Seth P. * MSK affiliated

Publisher(s): The Cancer Genome Atlas (TCGA)

Description
This dataset contains summary data visualizations and clinical data for a list of oncogenic and likely oncogenic alterations in 413 samples in tumors of the bladder from 412 patients, gathered as part of a comprehensive molecular characterization of muscle-invasive bladder cancer. Clinical data includes mutation count, information about mutated genes, patient demographics, and American Joint Committee on Cancer classification codes among other relevant data points.
Subject of Study
Homo sapiens
Subject(s)
DNA Mutational Analysis
Urinary Bladder Neoplasms
OncoTree Cancer Type(s)
Bladder/Urinary Tract
Access via cBioPortal

Access Restrictions
Free to All
Access Instructions
This cBioPortal for Cancer Genomics dataset is publicly available for viewing online as tables, graphs, and/or charts. The data is also available for download in its entirety as a tarball or as individual TSV (tab separated value) files. Some features are only available by logging in with a Google or Microsoft account. These features include storing your virtual studies and groups which allows you to access your studies and groups from any computer, and to allow cBioPortal to remember your study view charts preferences for each study (i.e. order of the charts, type of charts and visibility). Login is optional and not required to access any of the other features of cBioPortal.
Associated Publications
Robertson AG, Kim J, Al-Ahmadie H, et al. Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer [published correction appears in Cell. 2018 Aug 9;174(4):1033]. Cell. 2017;171(3):540-556.e25.
Data Type
Genomic
Dataset Format(s)
TSV, TAR
Dataset Size
257 MB
Data Catalog Record Updated
2021-10-19