Literature DB >> 35511739

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

Xiaoyu Song1,2, Meng Ru1,2, Zoe Steinsnyder3, Kaitlyn Tkachuk3, Ryan P Kopp4, John Sullivan3, Zeynep H Gümüş2,5, Kenneth Offit3,6, Vijai Joseph3,6, Robert J Klein2,5.   

Abstract

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 = 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. ©2022 American Association for Cancer Research.

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Year:  2022        PMID: 35511739      PMCID: PMC9250608          DOI: 10.1158/1055-9965.EPI-22-0053

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  31 in total

1.  Bi-allelic SNP genotyping using the TaqMan® assay.

Authors:  John Woodward
Journal:  Methods Mol Biol       Date:  2014

2.  Familial risk and familial survival in prostate cancer.

Authors:  Kari Hemminki
Journal:  World J Urol       Date:  2011-11-25       Impact factor: 4.226

3.  Susceptibility loci associated with prostate cancer progression and mortality.

Authors:  David J Gallagher; Joseph Vijai; Angel M Cronin; Jasmine Bhatia; Andrew J Vickers; Mia M Gaudet; Samson Fine; Victor Reuter; Howard I Scher; Christer Halldén; Ana Dutra-Clarke; Robert J Klein; Peter T Scardino; James A Eastham; Hans Lilja; Tomas Kirchhoff; Kenneth Offit
Journal:  Clin Cancer Res       Date:  2010-05-11       Impact factor: 12.531

Review 4.  Personalized Medicine and the Power of Electronic Health Records.

Authors:  Noura S Abul-Husn; Eimear E Kenny
Journal:  Cell       Date:  2019-03-21       Impact factor: 41.582

5.  Extended follow-up for prostate cancer incidence and mortality among participants in the Prostate, Lung, Colorectal and Ovarian randomized cancer screening trial.

Authors:  Paul F Pinsky; Eric Miller; Philip Prorok; Robert Grubb; E David Crawford; Gerald Andriole
Journal:  BJU Int       Date:  2018-11-02       Impact factor: 5.588

6.  Familial Risk and Heritability of Cancer Among Twins in Nordic Countries.

Authors:  Lorelei A Mucci; Jacob B Hjelmborg; Jennifer R Harris; Kamila Czene; David J Havelick; Thomas Scheike; Rebecca E Graff; Klaus Holst; Sören Möller; Robert H Unger; Christina McIntosh; Elizabeth Nuttall; Ingunn Brandt; Kathryn L Penney; Mikael Hartman; Peter Kraft; Giovanni Parmigiani; Kaare Christensen; Markku Koskenvuo; Niels V Holm; Kauko Heikkilä; Eero Pukkala; Axel Skytthe; Hans-Olov Adami; Jaakko Kaprio
Journal:  JAMA       Date:  2016-01-05       Impact factor: 56.272

7.  Familial concordance in cancer survival: a Swedish population-based study.

Authors:  Linda S Lindström; Per Hall; Mikael Hartman; Fredrik Wiklund; Henrik Grönberg; Kamila Czene
Journal:  Lancet Oncol       Date:  2007-10-24       Impact factor: 41.316

8.  Screening and prostate cancer mortality: results of the European Randomised Study of Screening for Prostate Cancer (ERSPC) at 13 years of follow-up.

Authors:  Fritz H Schröder; Jonas Hugosson; Monique J Roobol; Teuvo L J Tammela; Marco Zappa; Vera Nelen; Maciej Kwiatkowski; Marcos Lujan; Liisa Määttänen; Hans Lilja; Louis J Denis; Franz Recker; Alvaro Paez; Chris H Bangma; Sigrid Carlsson; Donella Puliti; Arnauld Villers; Xavier Rebillard; Matti Hakama; Ulf-Hakan Stenman; Paula Kujala; Kimmo Taari; Gunnar Aus; Andreas Huber; Theo H van der Kwast; Ron H N van Schaik; Harry J de Koning; Sue M Moss; Anssi Auvinen
Journal:  Lancet       Date:  2014-08-06       Impact factor: 79.321

9.  The variant call format and VCFtools.

Authors:  Petr Danecek; Adam Auton; Goncalo Abecasis; Cornelis A Albers; Eric Banks; Mark A DePristo; Robert E Handsaker; Gerton Lunter; Gabor T Marth; Stephen T Sherry; Gilean McVean; Richard Durbin
Journal:  Bioinformatics       Date:  2011-06-07       Impact factor: 6.937

10.  The chromatin accessibility landscape of primary human cancers.

Authors:  M Ryan Corces; Jeffrey M Granja; Shadi Shams; Bryan H Louie; Jose A Seoane; Wanding Zhou; Tiago C Silva; Clarice Groeneveld; Christopher K Wong; Seung Woo Cho; Ansuman T Satpathy; Maxwell R Mumbach; Katherine A Hoadley; A Gordon Robertson; Nathan C Sheffield; Ina Felau; Mauro A A Castro; Benjamin P Berman; Louis M Staudt; Jean C Zenklusen; Peter W Laird; Christina Curtis; William J Greenleaf; Howard Y Chang
Journal:  Science       Date:  2018-10-26       Impact factor: 63.714

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