2020
DOI: 10.1038/s41588-020-0692-4
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The mutational signature profile of known and suspected human carcinogens in mice

Abstract: Epidemiological studies have identified many environmental agents that appear to significantly increase cancer risk in human populations. By analysis of tumour genomes from mice chronically exposed to one of 20 known or suspected human carcinogens, we reveal that most agents do not generate distinct mutational signatures or increase mutation burden, with most mutations, including driver mutations, resulting from tissue specific endogenous processes. We identify signatures resulting from exposure to cobalt and … Show more

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Cited by 96 publications
(63 citation statements)
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“…Our results suggest non-progressing BE resembles aging normal tissue, which undergoes stochastic alterations and selection in cancer-associated genes that confer survival advantages, and maintains the requisite cell-and tissue-based mechanisms that prevent development of cancer. This hypothesis is supported by our data showing very similar mutation signatures, mutation loads and ESAD associated gene alterations in both NCO and CO, as well as by the results of mutagenesis analyses in mice 63 .…”
Section: Discussionsupporting
confidence: 86%
“…Our results suggest non-progressing BE resembles aging normal tissue, which undergoes stochastic alterations and selection in cancer-associated genes that confer survival advantages, and maintains the requisite cell-and tissue-based mechanisms that prevent development of cancer. This hypothesis is supported by our data showing very similar mutation signatures, mutation loads and ESAD associated gene alterations in both NCO and CO, as well as by the results of mutagenesis analyses in mice 63 .…”
Section: Discussionsupporting
confidence: 86%
“…This could be a pure agnostic analysis of large datasets of genome instability catalogs [ 119 , 121 , 163 ], which can be also combined with prior mechanistic knowledge about different types of mutagenesis [ 120 ]. Another approach is to collect knowledge about mutational signatures in defined systems—mammalian [ 164 , 165 ] or microbial [ 133 , 135 ], and then utilize the information to build a specific statistical hypothesis for interrogating datasets of natural variants. High rates of mutation and relative ease of RNA virus genome sequencing can certainly make these approaches productive and scalable.…”
Section: Concluding Remarks and Future Questionsmentioning
confidence: 99%
“…This could be a pure agnostic analysis of large datasets of genome instability catalogs [121,123,181], which can be also combined with prior mechanistic knowledge about different types of mutagenesis [122]. Another approach is to collect knowledge about mutational signatures in defined systems -mammalian [182,183] or microbial [138,141], and then utilize the information to build a specific statistical hypothesis for interrogating datasets of natural variants. High rates of mutation and relative ease of RNA virus genome sequencing can certainly make these approaches productive and scalable.…”
Section: Experimental Models To Define Signatures Of Environmental and Endogenous Mutagenesis In Rnamentioning
confidence: 99%