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• W2034521653 abstract "Abstract Cancer risk assessment impacts a range of societal needs, from the regulation of chemicals to achieving the best possible human health outcomes. Because oncogene and tumor suppressor gene mutations are necessary for the development of cancer, such mutations are ideal biomarkers to use in cancer risk assessment. Consequently, DNA‐based methods to quantify particular tumor‐associated hotspot point mutations (i.e., oncomutations) have been developed, including allele‐specific competitive blocker‐PCR (ACB‐PCR). Several studies using ACB‐PCR and model mutagens have demonstrated that significant induction of tumor‐associated oncomutations are measureable at earlier time points than are used to score tumors in a bioassay. In the particular case of benzo[ a ]pyrene induction of K‐ Ras codon 12 TGT mutation in the A/J mouse lung, measurement of tumor‐associated oncomutation was shown to be an earlier and more sensitive endpoint than tumor response. The measurement of oncomutation by ACB‐PCR led to two unexpected findings. First, oncomutations are present in various tissues of control rodents and “normal” human colonic mucosa samples at relatively high frequencies. Approximately 60% of such samples (88/146) have mutant fractions (MFs) >10 −5 , and some have MFs as high as 10 −3 or 10 −4 . Second, preliminary data indicate that oncomutations are present frequently as subpopulations in tumors. These findings are integrated into a hypothesis that the predominant preexisting mutations in particular tissues may be useful as generic reporters of carcinogenesis. Future research opportunities using oncomutation as an endpoint are described, including rodent to human extrapolation, dose‐response assessment, and personalized medicine. Environ. Mol. Mutagen., 2010. Published 2010 Wiley‐Liss, Inc." @default.
• W2034521653 created "2016-06-24" @default.
• W2034521653 creator A5019247342 @default.
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• W2034521653 creator A5081921832 @default.
• W2034521653 date "2010-08-25" @default.
• W2034521653 modified "2023-10-03" @default.
• W2034521653 title "Oncomutations as biomarkers of cancer risk" @default.
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• W2034521653 doi "https://doi.org/10.1002/em.20600" @default.
• W2034521653 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/20740637" @default.
• W2034521653 hasPublicationYear "2010" @default.
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