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Ancient genes establish stress-induced mutation as a hallmark of cancer

dc.contributor.authorCisneros, Luis H
dc.contributor.authorBussey, Kimberly J
dc.contributor.authorOrr, Adam J
dc.contributor.authorMiočević, Milica
dc.contributor.authorLineweaver, Charles
dc.contributor.authorDavies, Paul
dc.date.accessioned2023-06-02T05:30:06Z
dc.date.available2023-06-02T05:30:06Z
dc.date.issued2017
dc.date.updated2022-03-27T07:31:35Z
dc.description.abstractCancer is sometimes depicted as a reversion to single cell behavior in cells adapted to live in a multicellular assembly. If this is the case, one would expect that mutation in cancer disrupts functional mechanisms that suppress cell-level traits detrimental to multicellularity. Such mechanisms should have evolved with or after the emergence of multicellularity. This leads to two related, but distinct hypotheses: 1) Somatic mutations in cancer will occur in genes that are younger than the emergence of multicellularity (1000 million years [ MY]); and 2) genes that are frequently mutated in cancer and whose mutations are functionally important for the emergence of the cancer phenotype evolved within the past 1000 million years, and thus would exhibit an age distribution that is skewed to younger genes. In order to investigate these hypotheses we estimated the evolutionary ages of all human genes and then studied the probability of mutation and their biological function in relation to their age and genomic location for both normal germline and cancer contexts. We observed that under a model of uniform random mutation across the genome, controlled for gene size, genes less than 500 MY were more frequently mutated in both cases. Paradoxically, causal genes, defined in the COSMIC Cancer Gene Census, were depleted in this age group. When we used functional enrichment analysis to explain this unexpected result we discovered that COSMIC genes with recessive disease phenotypes were enriched for DNA repair and cell cycle control. The non-mutated genes in these pathways are orthologous to those underlying stress-induced mutation in bacteria, which results in the clustering of single nucleotide variations. COSMIC genes were less common in regions where the probability of observing mutational clusters is high, although they are approximately 2-fold more likely to harbor mutational clusters compared to other human genes. Our results suggest this ancient mutational response to stress that evolved among prokaryotes was co-opted to maintain diversity in the germline and immune system, while the original phenotype is restored in cancer. Reversion to a stress-induced mutational response is a hallmark of cancer that allows for effectively searching ''protected'' genome space where genes causally implicated in cancer are located and underlies the high adaptive potential and concomitant therapeutic resistance that is characteristic of cancer.en_AU
dc.description.sponsorshipThis work was supported by NIH grant U54CA143862 (https://projectreporter.nih.gov) and NantOmicsen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1932-6203en_AU
dc.identifier.urihttp://hdl.handle.net/1885/292339
dc.language.isoen_AUen_AU
dc.provenance© 2017 Cisneros et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_AU
dc.publisherPublic Library of Scienceen_AU
dc.rights© 2017 Cisneros et al.en_AU
dc.rights.licenseCreative Commons Attribution Licenseen_AU
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_AU
dc.sourcePLOS ONE (Public Library of Science)en_AU
dc.titleAncient genes establish stress-induced mutation as a hallmark of canceren_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue4en_AU
local.bibliographicCitation.lastpage22en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationCisneros, Luis H, Arizona State Universityen_AU
local.contributor.affiliationBussey, Kimberly J, Arizona State Universityen_AU
local.contributor.affiliationOrr, Adam J, Arizona State Universityen_AU
local.contributor.affiliationMiočević, Milica, Arizona State Universityen_AU
local.contributor.affiliationLineweaver, Charles, College of Science, ANUen_AU
local.contributor.affiliationDavies, Paul, Arizona State Universityen_AU
local.contributor.authoruidLineweaver, Charles, u4186476en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor321103 - Cancer geneticsen_AU
local.identifier.absfor321101 - Cancer cell biologyen_AU
local.identifier.absfor310599 - Genetics not elsewhere classifieden_AU
local.identifier.absseo280105 - Expanding knowledge in the chemical sciencesen_AU
local.identifier.absseo280102 - Expanding knowledge in the biological sciencesen_AU
local.identifier.absseo200101 - Diagnosis of human diseases and conditionsen_AU
local.identifier.ariespublicationu4485658xPUB1041en_AU
local.identifier.citationvolume12en_AU
local.identifier.doi10.1371/journal.pone.0176258en_AU
local.identifier.scopusID2-s2.0-85018818699
local.identifier.thomsonID000400308800039
local.publisher.urlhttps://journals.plos.org/en_AU
local.type.statusPublished Versionen_AU

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