Among four DNA repair gene polymorphisms, the OGG1326 Ser/Cys and XPD 312 Asp/Asn heterozygous genotypes might be recognized as potential genetic markers modifying susceptibility to bladder cancer in Belarus.
We observed an association between bladder cancer and POLB rs7832529 (BER) (pACT = 0.003; ppathway = 0.021) among all, and SNPs in XPC (NER) and OGG1 (BER) among Chinese men and women, respectively.
Regarding the overall association between the hOGG1 326Cys allele and bladder cancer risk, the meta-analysis did not reveal a significant effect in the additive model (OR: 1.06, 95 % CI: 0.96-1.26; p = 0.49), the recessive genetic model (OR: 1.05, 95 % CI: 0.65-1.70; p = 0.85) or the dominant genetic model (OR: 1.07, 95 % CI: 0.87-1.32; p = 0.53).
Overall, no significant associations were found between hOGG1Ser326Cys polymorphism and bladder cancer in codominant models (GG vs. CC: OR 1.11, 95% CI 0.74-1.66, p = 0.63; GC vs. CC: OR 1.07, 95% CI 0.80-1.41, p = 0.65).
On the basis of the results of recent genetic studies in relation to bladder carcinogenesis, several genetic polymorphisms of detoxification or DNA repair such as N-acetyltransferase 2, glutathione S-transferases, and human 8-oxoguanine DNA glycosylase 1 give us important information in relation to environmental risk factors and ethnic differences for predicting the prognosis of patients with bladder cancer.
In this study, we recruited 251 bladder cancer cases and 251 healthy controls to evaluate the effect of hOGG1 codon 326 and XRCC1 codon 399 polymorphisms on bladder cancer.
In this study, we recruited 251 bladder cancer cases and 251 healthy controls to evaluate the effect of hOGG1 codon 326 and XRCC1 codon 399 polymorphisms on bladder cancer.
Subjects who were heterozygous or homozygous variant for an OGG1 SNP in the promoter region (rs125701) had significantly decreased bladder cancer risk compared to common homozygous: OR (95%CI) 0.78 (0.63-0.96).
Using multifactor dimensionality reduction approach, the four-factor model, including smoking status, OGG1S326C (rs1052133), APEX1 D148E (rs3136820), and ADPRT762 (rs1136410), had the best ability to predict bladder cancer risk with the highest cross-validation consistency (100%) and the lowest prediction error (37.02%; P < 0.001).