Mutational processes shape the landscape of TP53 mutations in human cancer

被引:0
作者
Andrew O. Giacomelli
Xiaoping Yang
Robert E. Lintner
James M. McFarland
Marc Duby
Jaegil Kim
Thomas P. Howard
David Y. Takeda
Seav Huong Ly
Eejung Kim
Hugh S. Gannon
Brian Hurhula
Ted Sharpe
Amy Goodale
Briana Fritchman
Scott Steelman
Francisca Vazquez
Aviad Tsherniak
Andrew J. Aguirre
John G. Doench
Federica Piccioni
Charles W. M. Roberts
Matthew Meyerson
Gad Getz
Cory M. Johannessen
David E. Root
William C. Hahn
机构
[1] Dana–Farber Cancer Institute,Department of Oncology
[2] Broad Institute of MIT and Harvard,Department of Pathology
[3] Harvard Medical School,Department of Medicine
[4] St. Jude Children’s Research Hospital,undefined
[5] Massachusetts General Hospital Center for Cancer Research,undefined
[6] Massachusetts General Hospital,undefined
[7] Brigham and Women’s Hospital,undefined
来源
Nature Genetics | 2018年 / 50卷
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摘要
Unlike most tumor suppressor genes, the most common genetic alterations in tumor protein p53 (TP53) are missense mutations1,2. Mutant p53 protein is often abundantly expressed in cancers and specific allelic variants exhibit dominant-negative or gain-of-function activities in experimental models3–8. To gain a systematic view of p53 function, we interrogated loss-of-function screens conducted in hundreds of human cancer cell lines and performed TP53 saturation mutagenesis screens in an isogenic pair of TP53 wild-type and null cell lines. We found that loss or dominant-negative inhibition of wild-type p53 function reliably enhanced cellular fitness. By integrating these data with the Catalog of Somatic Mutations in Cancer (COSMIC) mutational signatures database9,10, we developed a statistical model that describes the TP53 mutational spectrum as a function of the baseline probability of acquiring each mutation and the fitness advantage conferred by attenuation of p53 activity. Collectively, these observations show that widely-acting and tissue-specific mutational processes combine with phenotypic selection to dictate the frequencies of recurrent TP53 mutations.
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页码:1381 / 1387
页数:6
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