Lin Hui-Yi, Steck Susan E, Sarkar Indrani, Fontham Elizabeth T H, Diekman Alan, Rogers Lora J, Ratliff Calvin T, Bensen Jeannette T, Mohler James L, Su L Joseph
Biostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
Epidemiology and Biostatistics, and Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
Cancers (Basel). 2023 Mar 10;15(6):1699. doi: 10.3390/cancers15061699.
Studies showed that folate and related single nucleotide polymorphisms (SNPs) could predict prostate cancer (PCa) risk. However, little is known about the interactions of folate-related SNPs associated with PCa aggressiveness. The study's objective is to evaluate SNP-SNP interactions among the DHFR 19-bp polymorphism and 10 SNPs in folate metabolism and the one-carbon metabolism pathway associated with PCa aggressiveness.
We evaluated 1294 PCa patients, including 690 European Americans (EAs) and 604 African Americans (AAs). Both individual SNP effects and pairwise SNP-SNP interactions were analyzed.
None of the 11 individual polymorphisms were significant for EAs and AAs. Three SNP-SNP interaction pairs can predict PCa aggressiveness with a medium to large effect size. For the EA PCa patients, the interaction between rs1801133 () and rs2236225 (), and rs1801131 () and rs7587117 () were significantly associated with aggressive PCa. For the AA PCa patients, the interaction of -19bp polymorphism and rs4652 () was significantly associated with aggressive PCa.
These SNP-SNP interactions in the folate metabolism-related genes have a larger impact than SNP individual effects on tumor aggressiveness for EA and AA PCa patients. These findings can provide valuable information for potential biological mechanisms of PCa aggressiveness.
研究表明,叶酸及相关单核苷酸多态性(SNP)可预测前列腺癌(PCa)风险。然而,对于与PCa侵袭性相关的叶酸相关SNP之间的相互作用知之甚少。本研究的目的是评估二氢叶酸还原酶(DHFR)19碱基多态性与叶酸代谢及一碳代谢途径中10个与PCa侵袭性相关的SNP之间的SNP-SNP相互作用。
我们评估了1294例PCa患者,包括690名欧洲裔美国人(EA)和604名非裔美国人(AA)。分析了个体SNP效应和成对的SNP-SNP相互作用。
11个个体多态性对EA和AA患者均无显著意义。三对SNP-SNP相互作用可预测PCa侵袭性,效应大小为中到大型。对于EA PCa患者,rs1801133()与rs2236225()以及rs1801131()与rs7587117()之间的相互作用与侵袭性PCa显著相关。对于AA PCa患者,-19bp多态性与rs4652()的相互作用与侵袭性PCa显著相关。
对于EA和AA PCa患者,叶酸代谢相关基因中的这些SNP-SNP相互作用对肿瘤侵袭性的影响大于SNP个体效应。这些发现可为PCa侵袭性的潜在生物学机制提供有价值的信息。