2019
DOI: 10.1111/cas.14210
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Experimental identification of cancer driver alterations in the era of pan‐cancer genomics

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution-NonCo mmercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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Cited by 17 publications
(12 citation statements)
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“…We note that many chemicals in a mixture, such as tobacco smoke, induce similar type(s) of mutation, e.g., both ROS and B[a]P (a prototype PAH), give rise predominantly to G:C→T:A transversion [13,31,32,146,170,172,174]. Thus, it is a formidable challenge to tease out the contribution of each chemical to the induced mutation spectrum in cells/individuals exposed in vitro/in vivo to complex mixture of chemicals, such as tobacco smoke [12,14,31,32,171,175].…”
Section: Oxidative Damage To Dna: Connection With Smoking and Cancermentioning
confidence: 99%
“…We note that many chemicals in a mixture, such as tobacco smoke, induce similar type(s) of mutation, e.g., both ROS and B[a]P (a prototype PAH), give rise predominantly to G:C→T:A transversion [13,31,32,146,170,172,174]. Thus, it is a formidable challenge to tease out the contribution of each chemical to the induced mutation spectrum in cells/individuals exposed in vitro/in vivo to complex mixture of chemicals, such as tobacco smoke [12,14,31,32,171,175].…”
Section: Oxidative Damage To Dna: Connection With Smoking and Cancermentioning
confidence: 99%
“…Non-synonymous mutations were found in 371 genes across all MEFs and in 77 genes across all HFFs with a wide range of VAFs ( Figure 4 A & B ). To evaluate the early events driving barrier bypass and immortalization, genes with heterozygous mutations (VAF between 0.25 and 0.75) were compared to the most recent COSMIC cancer gene census 2732 . The comparison revealed 8 mutated cancer census genes in MEFs, including, TP53’s mouse orthologue Trp53, and 9 mutated cancer census genes in HFFs.…”
Section: Resultsmentioning
confidence: 99%
“…Rapidly accumulating data from large-scale cancer genomics studies, many studies have focused pan-cancer analysis to estimate the whole genome, frequently mutated genes and other common genomic characterization that are related to the occurrence and development of cancer (29)(30)(31)(32). In this study, we examine the specific role and underlying mechanisms of NAAA in a pan-cancer dataset.…”
Section: Introductionmentioning
confidence: 99%