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Title:

Comprehensive Characterization of Cancer Driver Genes and Mutations.

Document type:
journal article
Author(s):
Bailey, Matthew H; Tokheim, Collin; Porta-Pardo, Eduard; Sengupta, Sohini; Bertrand, Denis; Weerasinghe, Amila; Colaprico, Antonio; Wendl, Michael C; Kim, Jaegil; Reardon, Brendan; Ng, Patrick Kwok-Shing; Jeong, Kang Jin; Cao, Song; Wang, Zixing; Gao, Jianjiong; Gao, Qingsong; Wang, Fang; Liu, Eric Minwei; Mularoni, Loris; Rubio-Perez, Carlota; Nagarajan, Niranjan; Cortés-Ciriano, Isidro; Zhou, Daniel Cui; Liang, Wen-Wei; Hess, Julian M; Yellapantula, Venkata D; Tamborero, David; Gonzalez-Perez,...     »
Abstract:
Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced algorithms to identify drivers now exist, but systematic attempts to combine and optimize them on large datasets are few. We report a PanCancer and PanSoftware analysis spanning 9,423 tumor exomes (comprising all 33 of The Cancer Genome Atlas projects) and using 26 computational tools to catalog driver genes and mutations. We identify 299 driver genes with implications regarding their anatomical sites and...     »
Journal title abbreviation:
Cell
Year:
2018
Journal volume:
173
Journal issue:
2
Pages contribution:
371-385.e18
Language:
eng
Fulltext / DOI:
doi:10.1016/j.cell.2018.02.060
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/29625053
Print-ISSN:
0092-8674
TUM Institution:
Institut für Allgemeine Pathologie und pathologische Anatomie
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