A Common Prostate Cancer Risk Variant 5 ' of Microseminoprotein-beta (MSMB) Is a Strong Predictor of Circulating beta-Microseminoprotein (MSP) Levels in Multiple Populations

作者:Waters Kevin M; Stram Daniel O; Le Marchand Loic; Klein Robert J; Valtonen Andre Camilla; Peltola Mari T; Kolonel Laurence N; Henderson Brian E; Lilja Hans; Haiman Christopher A*
来源:Cancer Epidemiology Biomarkers & Prevention, 2010, 19(10): 2639-2646.
DOI:10.1158/1055-9965.EPI-10-0427

摘要

Background: beta-Microseminoprotein (MSP) is one of the three most abundantly secreted proteins of the prostate and has been suggested as a biomarker for prostate cancer risk. A common variant, rs10993994, in the 5' region of the gene that encodes MSP (MSMB) has recently been identified as a risk factor for prostate cancer.
Methods: We examined the association between rs10993994 genotype and MSP levels in a sample of 500 prostate cancer-free men from four racial/ethnic populations in the Multiethnic Cohort (European Americans, African Americans, Latinos, and Japanese Americans). Generalized linear models were used to estimate the association between rs10993994 genotype and MSP levels.
Results: We observed robust associations between rs10994994 genotype and MSP levels in each racial/ethnic population (all P < 10(-8)), with carriers of the C allele having lower geometric mean MSP levels (ng/mL; CC/CT/TT genotypes: European Americans, 28.8/20.9/10.0; African Americans, 29.0/21.9/10.9; Latinos, 29.2/17.1/8.3; and Japanese Americans, 25.8/16.4/6.7). We estimated the variant accounts for 30% to 50% of the variation in MSP levels in each population. We also observed significant differences in MSP levels between populations (P = 3.5 x 10(-6)), with MSP levels observed to be highest in African Americans and lowest in Japanese Americans.
Conclusions: Rs10993994 genotype is strongly associated with plasma MSP levels in multiple racial/ethnic populations.
Impact: This supports the hypothesis that rs10993994 may be the biologically functional allele. Cancer Epidemiol Biomarkers Prev; 19(10); 2639-46.

  • 出版日期2010-10