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dc.contributor.authorKinnersley, B
dc.contributor.authorSud, A
dc.contributor.authorEverall, A
dc.contributor.authorCornish, AJ
dc.contributor.authorChubb, D
dc.contributor.authorCulliford, R
dc.contributor.authorGruber, AJ
dc.contributor.authorLärkeryd, A
dc.contributor.authorMitsopoulos, C
dc.contributor.authorWedge, D
dc.contributor.authorHoulston, R
dc.date.accessioned2024-05-20T10:26:18Z
dc.date.available2024-05-20T10:26:18Z
dc.date.issued2024-06-18
dc.identifier.citationNature Genetics,
dc.identifier.issn1061-4036
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/6225
dc.identifier.eissn1546-1718
dc.identifier.eissn1546-1718
dc.description.abstractTumor genomic profiling is increasingly seen as a prerequisite to guide the treatment of patients with cancer. To explore the value of whole-genome sequencing (WGS) in broadening the scope of cancers potentially amenable to a precision therapy, we analysed whole-genome sequencing data on 10,478 patients spanning 35 cancer types recruited to the UK 100,000 Genomes Project. We identified 330 candidate driver genes, including 74 that are new to any cancer. We estimate that approximately 55% of patients studied harbor at least one clinically relevant mutation, predicting either sensitivity or resistance to certain treatments or clinical trial eligibility. By performing computational chemogenomic analysis of cancer mutations we identify additional targets for compounds that represent attractive candidates for future clinical trials. This study represents one of the most comprehensive efforts thus far to identify cancer driver genes in the real world setting and assess their impact on informing precision oncology.
dc.language.isoeng
dc.publisherNATURE PORTFOLIO
dc.relation.ispartofNature Genetics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleAnalysis of 10,478 cancer genomes identifies candidate driver genes and opportunities for precision oncology.
dc.typeJournal Article
dcterms.dateAccepted2024-03-13
dc.date.updated2024-04-23T21:09:01Z
rioxxterms.versionAM
rioxxterms.typeJournal Article/Review
pubs.organisational-groupICR
pubs.organisational-groupICR/Primary Group
pubs.organisational-groupICR/Primary Group/ICR Divisions
pubs.organisational-groupICR/Primary Group/ICR Divisions/Cancer Therapeutics
pubs.organisational-groupICR/Primary Group/ICR Divisions/Cancer Therapeutics/Computational Biology and Chemogenomics
pubs.organisational-groupICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-groupICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Cancer Genomics
pubs.organisational-groupICR/Students
pubs.organisational-groupICR/Students/PhD and MPhil
pubs.organisational-groupICR/Students/PhD and MPhil/14/15 Starting Cohort
pubs.publication-statusAccepted
icr.researchteamCancer Genomics
icr.researchteamBioinformatics Core Fac
icr.researchteamComputational Biology
dc.contributor.icrauthorKinnersley, Benjamin
dc.contributor.icrauthorCornish, Alexander
dc.contributor.icrauthorMitsopoulos, Konstantinos
dc.contributor.icrauthorHoulston, Richard
icr.provenanceDeposited by Dr Amit Sud on 2024-04-23. Deposit type is initial. No. of files: 1. Files: 67756_3_merged_1713890981.pdf
icr.provenanceDeposited by Dr Amit Sud on 2024-05-01. Deposit type is subsequent. No. of files: 1. Files: 67756_3_merged_1714423730.pdf


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