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Comprehensive Analysis of Co-Mutations Identifies Cooperating Mechanisms of Tumorigenesis

SIMPLE SUMMARY: Somatic mutations are one of the most important causal factors of cancers. In this study, we show that certain mutations, when occurring simultaneously, have a stronger biological effect than their single counterpart. These effects include prognosis and drug sensitivity. ABSTRACT: So...

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Detalles Bibliográficos
Autores principales: Jiang, Limin, Yu, Hui, Ness, Scott, Mao, Peng, Guo, Fei, Tang, Jijun, Guo, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774165/
https://www.ncbi.nlm.nih.gov/pubmed/35053577
http://dx.doi.org/10.3390/cancers14020415
Descripción
Sumario:SIMPLE SUMMARY: Somatic mutations are one of the most important causal factors of cancers. In this study, we show that certain mutations, when occurring simultaneously, have a stronger biological effect than their single counterpart. These effects include prognosis and drug sensitivity. ABSTRACT: Somatic mutations are one of the most important factors in tumorigenesis and are the focus of most cancer-sequencing efforts. The co-occurrence of multiple mutations in one tumor has gained increasing attention as a means of identifying cooperating mutations or pathways that contribute to cancer. Using multi-omics, phenotypical, and clinical data from 29,559 cancer subjects and 1747 cancer cell lines covering 78 distinct cancer types, we show that co-mutations are associated with prognosis, drug sensitivity, and disparities in sex, age, and race. Some co-mutation combinations displayed stronger effects than their corresponding single mutations. For example, co-mutation TP53:KRAS in pancreatic adenocarcinoma is significantly associated with disease specific survival (hazard ratio = 2.87, adjusted p-value = 0.0003) and its prognostic predictive power is greater than either TP53 or KRAS as individually mutated genes. Functional analyses revealed that co-mutations with higher prognostic values have higher potential impact and cause greater dysregulation of gene expression. Furthermore, many of the prognostically significant co-mutations caused gains or losses of binding sequences of RNA binding proteins or micro RNAs with known cancer associations. Thus, detailed analyses of co-mutations can identify mechanisms that cooperate in tumorigenesis.