OBJECTIVE: To investigate the association of prostate cancer (PCa) with PDLIM5 (rs17021918, T), SLC22A3 (rs9364554, C) and NKX3-1 (rs1512268, A) in Chinese men. METHODS: We included 124 PCa patients and 138 normal controls in this study, compared the alleles and genotypes of PDLIM5 (rs17021918, T) , SLC22A3 (rs9364554, C) and NKX3-1 (rs1512268, A) of the two groups, and explored the association of each of the genes with the age, body mass index (BMI), Gleason score, PSA level and tumor stage of the patients. We analyzed the gene-gene interaction using the multifactor dimensionality reduction method (MDR). RESULTS: There were no statistically significant differences in the frequency distribution of the risk alleles and genotypes of PDLIM5, SLC22A3 and NKX3-1 between the case and control groups (P > 0.05), nor were the three gene loci significantly associated with the age, Gleason score, PSA level and pathological grade of the PCa patients (CP < 0.05). MDR analysis showed no interaction between PDLIM5 and NKX3-1, but tree-diagram analysis revealed a possible synergistic action of the two polymorphism loci. CONCLUSION: PCa might not be associated with PDLIM5 (rs17021918,T), SLC22A3 (rs9364554,C) and NKX3-1 (rs1512268,A) in Chinese men. However, PDLIM5 and NKX3-1 might have a synergistic action on the risk PCa.
OBJECTIVE: To investigate the association of prostate cancer (PCa) with PDLIM5 (rs17021918, T), SLC22A3 (rs9364554, C) and NKX3-1 (rs1512268, A) in Chinese men. METHODS: We included 124 PCa patients and 138 normal controls in this study, compared the alleles and genotypes of PDLIM5 (rs17021918, T) , SLC22A3 (rs9364554, C) and NKX3-1 (rs1512268, A) of the two groups, and explored the association of each of the genes with the age, body mass index (BMI), Gleason score, PSA level and tumor stage of the patients. We analyzed the gene-gene interaction using the multifactor dimensionality reduction method (MDR). RESULTS: There were no statistically significant differences in the frequency distribution of the risk alleles and genotypes of PDLIM5, SLC22A3 and NKX3-1 between the case and control groups (P > 0.05), nor were the three gene loci significantly associated with the age, Gleason score, PSA level and pathological grade of the PCa patients (CP < 0.05). MDR analysis showed no interaction between PDLIM5 and NKX3-1, but tree-diagram analysis revealed a possible synergistic action of the two polymorphism loci. CONCLUSION: PCa might not be associated with PDLIM5 (rs17021918,T), SLC22A3 (rs9364554,C) and NKX3-1 (rs1512268,A) in Chinese men. However, PDLIM5 and NKX3-1 might have a synergistic action on the risk PCa.