Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.
Department of Community Health and Psychiatry, University of West Indies, Kingston, Jamaica.
Prostate. 2020 Nov;80(15):1365-1372. doi: 10.1002/pros.24067. Epub 2020 Sep 7.
Prostate cancer (PC) risk increases with African ancestry and a history of sexually transmitted infections (STIs). Also, single-nucleotide polymorphisms (SNPs) in toll-like receptor (TLR) genes influence PC risk. This pilot study explores interactions between STIs and TLR-related SNPs in relation to PC risk among Jamaican men.
This case-control study evaluates two TLR related SNPs in 356 Jamaican men (194 controls and 162 cases) with or without history of STIs using stepwise penalized logistic regression in multivariable analyses.
Age (odds ratio [OR] = 1.08; 95% confidence interval [CI]: 1.04-1>.12; p < .001) and IRF3_rs2304206 GG genotype (OR = 0.47; 95% CI: 0.29-0<.78; p = .003) modulated PC risk in people with history of STIs. In the population with no history of STIs, resulting interactions between risk factors did not survive correction for multiple hypothesis testing.
Overall, an interaction between the IFR3_rs2304206 variant and a history of exposure to STIs leads to greater decrease of PC risk than the presence of polymorphic genotype alone. These findings are suggestive and require further validation. Identification of gene variants along with detection of lifestyle behaviors may contribute to identification of men at a greater risk of PC development in the population.
前列腺癌(PC)的风险随着非裔血统和性传播感染(STI)史的增加而增加。此外, Toll 样受体(TLR)基因中的单核苷酸多态性(SNP)也会影响 PC 的风险。这项初步研究探讨了 STI 与 TLR 相关 SNP 之间的相互作用与牙买加男性 PC 风险之间的关系。
本病例对照研究使用逐步惩罚逻辑回归多元分析方法,评估了 356 名牙买加男性(194 名对照和 162 名病例)中与 TLR 相关的两个 SNP,这些男性有无 STI 史。
年龄(比值比[OR] = 1.08;95%置信区间[CI]:1.04-1>.12;p < .001)和 IRF3_rs2304206 GG 基因型(OR = 0.47;95% CI:0.29-0<.78;p = .003)调节了有 STI 史人群的 PC 风险。在没有 STI 史的人群中,危险因素之间的相互作用在经过多次假设检验校正后并未存活。
总的来说,IRF3_rs2304206 变体与暴露于 STI 的历史之间的相互作用导致 PC 风险的降低大于单一多态基因型的存在。这些发现具有提示性,需要进一步验证。鉴定基因变异以及检测生活方式行为可能有助于在人群中确定患有 PC 风险更高的男性。