Comprehensive Characterization of Cancer Driver Genes and Mutations.

doi:10.1016/j.cell.2018.02.060

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Article

Comprehensive Characterization of Cancer Driver Genes and Mutations.

Cell - 5 Apr 2018

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 Abel, Suphavilai Chayaporn, Ko Jia Yu, Khurana Ekta, Park Peter J, Van Allen Eliezer M, Liang Han, Lawrence Michael S, Godzik Adam, Lopez-Bigas Nuria, Stuart Josh, Wheeler David, Getz Gad, Chen Ken, Lazar Alexander J, Mills Gordon B, Karchin Rachel, Ding Li

Abstract excerpt

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....

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Identifiers

PMID: 29625053
DOI: 10.1016/j.cell.2018.02.060
PMCID: PMC6029450

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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