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Article: Reclassification of prostate cancer risk using sequentially identified SNPs: Results from the REDUCE trial

TitleReclassification of prostate cancer risk using sequentially identified SNPs: Results from the REDUCE trial
Authors
Keywordsgenetics
polymorphism
prostate cancer
SNPs
Issue Date2017
Citation
Prostate, 2017, v. 77, n. 11, p. 1179-1186 How to Cite?
AbstractBackground: Although the clinical validity of risk-associated single nucleotide polymorphisms (SNPs) for assessment of disease susceptibility has been consistently established, risk reclassification from increasing numbers of implicated risk-associated SNPs raises concern that it is premature for clinical use. Our objective is to assess the degree and impact of risk reclassification with the increasing number of SNPs. Methods: A total of 3239 patients from the Reduction by Dutasteride of Prostate Cancer Events (REDUCE) trial were included. Four genetic risk scores (GRSs) were calculated based on sets of sequentially discovered prostate cancer (PCa) risk-associated SNPs (17, 34, 51, and 68 SNPs). Results: Pair-wise correlation coefficients between sets of GRSs increased as more SNPs were included in the GRS: 0.80, 0.86, and 0.95 for 17 versus 34 SNPs, 34 versus 51 SNPs, and 51 versus 68 SNPs, respectively. Using a GRS of 1.5 as a cutoff for higher versus lower risk, reclassification rates of PCa risk decreased: 14.11%, 12.04%, and 8.15% for 17 versus 34 SNPs, 34 versus 51 SNPs, and 51 versus 68 SNPs, respectively. Evolving GRSs, nevertheless, provide a tool for further refining risk assessment. When all four sequential GRSs were considered, the detection rates of PCa for men whose GRSs were consistently <1.5, reclassified, and consistently ≥1.5 were 20.8%, 29.67%, and 39.26%, respectively (Ptrend = 1.12 × 10−8). In comparison, the detection rates of PCa in men with negative or positive family history were 23.75% and 31.78%, respectively. Conclusions: Risk assessment using currently available SNPs is justified. Multiple GRS values from evolving sets of SNPs provide a valuable tool for better refining risk.
Persistent Identifierhttp://hdl.handle.net/10722/314399
ISSN
2023 Impact Factor: 2.6
2023 SCImago Journal Rankings: 1.032
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Haitao-
dc.contributor.authorNa, Rong-
dc.contributor.authorPackiam, Vignesh T.-
dc.contributor.authorConran, Carly A.-
dc.contributor.authorJiang, Deke-
dc.contributor.authorTao, Sha-
dc.contributor.authorYu, Hongjie-
dc.contributor.authorLin, Xiaoling-
dc.contributor.authorMeng, Wei-
dc.contributor.authorZheng, S. Lilly-
dc.contributor.authorBrendler, Charles B.-
dc.contributor.authorHelfand, Brian T.-
dc.contributor.authorXu, Jianfeng-
dc.date.accessioned2022-07-20T12:03:56Z-
dc.date.available2022-07-20T12:03:56Z-
dc.date.issued2017-
dc.identifier.citationProstate, 2017, v. 77, n. 11, p. 1179-1186-
dc.identifier.issn0270-4137-
dc.identifier.urihttp://hdl.handle.net/10722/314399-
dc.description.abstractBackground: Although the clinical validity of risk-associated single nucleotide polymorphisms (SNPs) for assessment of disease susceptibility has been consistently established, risk reclassification from increasing numbers of implicated risk-associated SNPs raises concern that it is premature for clinical use. Our objective is to assess the degree and impact of risk reclassification with the increasing number of SNPs. Methods: A total of 3239 patients from the Reduction by Dutasteride of Prostate Cancer Events (REDUCE) trial were included. Four genetic risk scores (GRSs) were calculated based on sets of sequentially discovered prostate cancer (PCa) risk-associated SNPs (17, 34, 51, and 68 SNPs). Results: Pair-wise correlation coefficients between sets of GRSs increased as more SNPs were included in the GRS: 0.80, 0.86, and 0.95 for 17 versus 34 SNPs, 34 versus 51 SNPs, and 51 versus 68 SNPs, respectively. Using a GRS of 1.5 as a cutoff for higher versus lower risk, reclassification rates of PCa risk decreased: 14.11%, 12.04%, and 8.15% for 17 versus 34 SNPs, 34 versus 51 SNPs, and 51 versus 68 SNPs, respectively. Evolving GRSs, nevertheless, provide a tool for further refining risk assessment. When all four sequential GRSs were considered, the detection rates of PCa for men whose GRSs were consistently <1.5, reclassified, and consistently ≥1.5 were 20.8%, 29.67%, and 39.26%, respectively (Ptrend = 1.12 × 10−8). In comparison, the detection rates of PCa in men with negative or positive family history were 23.75% and 31.78%, respectively. Conclusions: Risk assessment using currently available SNPs is justified. Multiple GRS values from evolving sets of SNPs provide a valuable tool for better refining risk.-
dc.languageeng-
dc.relation.ispartofProstate-
dc.subjectgenetics-
dc.subjectpolymorphism-
dc.subjectprostate cancer-
dc.subjectSNPs-
dc.titleReclassification of prostate cancer risk using sequentially identified SNPs: Results from the REDUCE trial-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/pros.23369-
dc.identifier.pmid28670847-
dc.identifier.pmcidPMC6949015-
dc.identifier.scopuseid_2-s2.0-85021831694-
dc.identifier.volume77-
dc.identifier.issue11-
dc.identifier.spage1179-
dc.identifier.epage1186-
dc.identifier.eissn1097-0045-
dc.identifier.isiWOS:000405732100001-

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