Mutational processes shape the landscape of TP53 mutations in human cancer

生物 遗传学 错义突变 突变 损失函数 突变体 突变 表型 基因 等位基因 体细胞
作者
Andrew O. Giacomelli,Xiaoping Yang,Robert Lintner,James M. McFarland,Marc Duby,Jaegil Kim,Thomas P. Howard,David Y. Takeda,Seav Huong Ly,Eejung Kim,Hugh Gannon,Brian Hurhula,Ted Sharpe,Amy Goodale,Briana Fritchman,Scott Steelman,Francisca Vázquez,Aviad Tsherniak,Andrew J. Aguirre,John G. Doench
出处
期刊:Nature Genetics [Springer Nature]
卷期号:50 (10): 1381-1387 被引量:546
标识
DOI:10.1038/s41588-018-0204-y
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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