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dc.contributor.authorBennett, Lauraen
dc.contributor.authorHowell, Matthewen
dc.contributor.authorMemon, Danishen
dc.contributor.authorSmowton, Christopheren
dc.contributor.authorZhou, Congen
dc.contributor.authorMiller, Crispin Jen
dc.date.accessioned2018-12-05T10:35:51Z
dc.date.available2018-12-05T10:35:51Z
dc.date.issued2018en
dc.identifier.citationBennett L, Howell M, Memon D, Smowton C, Zhou C, Miller CJ. Mutation pattern analysis reveals polygenic mini-drivers associated with relapse after surgery in lung adenocarcinoma. Scientific Reports [Internet]. 2018 Oct 4;8(1).en
dc.identifier.pmid30287876en
dc.identifier.doi10.1038/s41598-018-33276-3en
dc.identifier.urihttp://hdl.handle.net/10541/621368
dc.description.abstractThe genomic lesions found in malignant tumours exhibit a striking degree of heterogeneity. Many tumours lack a known driver mutation, and their genetic basis is unclear. By mapping the somatic mutations identified in primary lung adenocarcinomas onto an independent coexpression network derived from normal tissue, we identify a critical gene network enriched for metastasis-associated genes. While individual genes within this module were rarely mutated, a significant accumulation of mutations within this geneset was predictive of relapse in lung cancer patients that have undergone surgery. Since it is the density of mutations within this module that is informative, rather than the status of any individual gene, these data are in keeping with a 'mini-driver' model of tumorigenesis in which multiple mutations, each with a weak effect, combine to form a polygenic driver with sufficient power to significantly alter cell behaviour and ultimately patient outcome. These polygenic mini-drivers therefore provide a means by which heterogeneous mutation patterns can generate the consistent hallmark changes in phenotype observed across tumours.en
dc.language.isoenen
dc.relation.urlhttps://dx.doi.org/10.1038/s41598-018-33276-3en
dc.titleMutation pattern analysis reveals polygenic mini-drivers associated with relapse after surgery in lung adenocarcinomaen
dc.typeArticleen
dc.contributor.departmentRNA Biology Group, CRUK Manchester Institute, The University of Manchester, Alderley Park, Manchester, SK10 4TG, UKen
dc.identifier.journalSci Repen
dc.description.noteen]


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