SNPs at SMG7 Associated with Time from Biochemical Recurrence to Prostate Cancer Death

Xiaoyu Song, Meng Ru, Zoe Steinsnyder, Kaitlyn Tkachuk, Ryan P. Kopp, John Sullivan, Zeynep H. Gümüş, Kenneth Offit, Vijai Joseph, Robert J. Klein

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Background: A previous genome-wide association study identified several loci with genetic variants associated with prostate cancer survival time in two cohorts from Sweden. Whether these variants have an effect in other populations or if their effect is homogenous across the course of disease is unknown. Methods: These variants were genotyped in a cohort of 1,298 patients. Samples were linked with age, PSA level, Gleason score, cancer stage at surgery, and times from surgery to biochemical recurrence to death from prostate cancer. SNPs rs2702185 and rs73055188 were tested for association with prostate cancer–specific survival time using a multivariate Cox proportional hazard model. SNP rs2702185 was further tested for association with time to biochemical recurrence and time from biochemical recurrence to death with a multi-state model. Results: SNP rs2702185 at SMG7 was associated with prostate cancer–specific survival time, specifically the time from biochemical recurrence to prostate cancer death (HR, 2.5; 95% confidence interval, 1.4–4.5; P ¼ 0.0014). Nine variants were in linkage disequilibrium (LD) with rs2702185; one, rs10737246, was found to be most likely to be functional based on LD patterns and overlap with open chromatin. Patterns of open chromatin and correlation with gene expression suggest that this SNP may affect expression of SMG7 in T cells. Conclusions: The SNP rs2702185 at the SMG7 locus is associated with time from biochemical recurrence to prostate cancer death, and its LD partner rs10737246 is predicted to be functional. Impact: These results suggest that future association studies of prostate cancer survival should consider various intervals over the course of disease.

Original languageEnglish (US)
Pages (from-to)1466-1472
Number of pages7
JournalCancer Epidemiology Biomarkers and Prevention
Issue number7
StatePublished - Jul 2022

ASJC Scopus subject areas

  • Epidemiology
  • Oncology


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