High-order gene interactions between the genetic polymorphisms in Wnt and AhR pathway in modulating lung cancer susceptibility

Abstract

Aim: Genetic variations present within Wnt and AhR pathway might be related to the lung cancer susceptibility. Methods: A total of 555 subjects were genotyped using PCR–RFLP technique for polymorphic sites in DKK4, DKK3, DKK2, sFRP3, sFRP4, Axin2 and AhR. Multifactor dimensionality reduction method and classification and regression tree analysis was used. Results: Overall sFRP4rs1802073 which has a cross validation consistency of 10/10, prediction error = 0.43 (p > 0.0001) is the best factor model. The second best model was sFRP4rs1802073 and DKK2rs419558 with cross validation consistency of 9/10 and prediction error = 0.40. In classification and regression tree analysis, DKK2 rs419558 came out to be a significant factor; DKK2rs17037102 (M)/DKK2rs419558 (M) showed a tenfold risk of acquiring lung cancer, p = 0.0001. DKK2rs17037102 (M)/AhRrs2066853 (W)/AhRrs10250822 (M) showed an 11-fold risk of developing lung cancer, p = 0.00001. Conclusion: Both DKK2 and sFRP4 polymorphisms are found to play a crucial role; especially for smokers towards modulating risk for lung cancer. AhR variants are contributing maximally toward lung cancer risk.