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dc.contributor.authorWu, Len_US
dc.contributor.authorShu, Xen_US
dc.contributor.authorBao, Jen_US
dc.contributor.authorGuo, Xen_US
dc.contributor.authorKote-Jarai, Zen_US
dc.contributor.authorHaiman, CAen_US
dc.contributor.authorEeles, RAen_US
dc.contributor.authorZheng, Wen_US
dc.contributor.authorPRACTICAL, CRUK, BPC3, CAPS, PEGASUS Consortiaen_US
dc.date.accessioned2019-08-09T13:35:38Z
dc.date.issued2019-09en_US
dc.identifier.citationCancer research, 2019, 79 (18), pp. 4592 - 4598en_US
dc.identifier.issn0008-5472en_US
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3323
dc.identifier.eissn1538-7445en_US
dc.identifier.doi10.1158/0008-5472.can-18-3997en_US
dc.description.abstractSeveral blood protein biomarkers have been associated with prostate cancer risk. However, most studies assessed only a small number of biomarkers and/or included a small sample size. To identify novel protein biomarkers of prostate cancer risk, we studied 79,194 cases and 61,112 controls of European ancestry, included in the PRACTICAL/ELLIPSE consortia, using genetic instruments of protein quantitative trait loci for 1,478 plasma proteins. A total of 31 proteins were associated with prostate cancer risk including proteins encoded by GSTP1, whose methylation level was shown previously to be associated with prostate cancer risk, and MSMB, SPINT2, IGF2R, and CTSS, which were previously implicated as potential target genes of prostate cancer risk variants identified in genome-wide association studies. A total of 18 proteins inversely correlated and 13 positively correlated with prostate cancer risk. For 28 of the identified proteins, gene somatic changes of short indels, splice site, nonsense, or missense mutations were detected in patients with prostate cancer in The Cancer Genome Atlas. Pathway enrichment analysis showed that relevant genes were significantly enriched in cancer-related pathways. In conclusion, this study identifies 31 candidates of protein biomarkers for prostate cancer risk and provides new insights into the biology and genetics of prostate tumorigenesis. SIGNIFICANCE: Integration of genomics and proteomics data identifies biomarkers associated with prostate cancer risk.en_US
dc.formatPrint-Electronicen_US
dc.format.extent4592 - 4598en_US
dc.languageengen_US
dc.language.isoengen_US
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_US
dc.subjectPRACTICAL, CRUK, BPC3, CAPS, PEGASUS Consortiaen_US
dc.titleAnalysis of Over 140,000 European Descendants Identifies Genetically Predicted Blood Protein Biomarkers Associated with Prostate Cancer Risk.en_US
dc.typeJournal Article
dcterms.dateAccepted2019-07-17en_US
rioxxterms.versionofrecord10.1158/0008-5472.can-18-3997en_US
rioxxterms.licenseref.startdate2019-09en_US
rioxxterms.typeJournal Article/Reviewen_US
dc.relation.isPartOfCancer researchen_US
pubs.issue18en_US
pubs.notesNot knownen_US
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Oncogenetics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Oncogenetics
pubs.publication-statusPublisheden_US
pubs.volume79en_US
pubs.embargo.termsNot knownen_US
icr.researchteamOncogeneticsen_US
dc.contributor.icrauthorEeles, Rosalinden_US
dc.contributor.icrauthorKote-Jarai, Zsofiaen_US


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