Association of polymorphisms in Dickopff (DKK) gene towards modulating risk for lung cancer in north Indians

Genetic polymorphisms in the mismatch repair pathway (MMR) genes contribute to hematological and gastrointestinal toxicity in North Indian lung cancer patients treated with platinum-based chemotherapy

The present study investigated the relationship between MLH1, MSH2, MSH3, and MSH6 polymorphisms and toxicity due to platinum-based doublet chemotherapy for North Indian lung cancer patients. Polymerase chain reaction-restriction fragment length polymorphism technique was used to assess the polymorphism. For MSH2 IVS1 + 9G > C polymorphism variant type genotype reported a 1.4-fold increased risk of anemia (AOR = 1.4; 95% CI = 0.98-1.99; p = 0.04) and decreased risk of developing gastrointestinal toxicity (diarrhea) (AOR = 0.53; 95% CI = 0.28-1.01; p = 0.04). Further, we also reported a 10-fold increased risk of developing severe grade anorexia in combined genotype (GC + CC) (AOR = 9.18; 95% CI = 0.98-86.1; p = 0.05). For MSH2 T > C/-6 polymorphism, variant type reported a 3-fold and 2-fold increased risk of developing severe grade leukopenia (AOR = 3.37; 95% CI = 1.44-7.88; p = 0.005) and neutropenia respectively (AOR = 2.23; 95% CI = 1.07-4.66; p = 0.03). For MSH3 G > A polymorphism, heterozygous (GA) and combined genotype (GA + AA) reported a 7-fold and 6-fold increased risk of developing anemia (AOR = 7.23; 95% CI = 1.51-34.6; p = 0.01, AOR = 6.39; 95% CI = 1.53-26.6; p = 0.01). Our results suggest that polymorphisms in DNA mismatch repair genes are associated with hematological, and gastrointestinal toxicities and might be considered a predictor for pretreatment evaluation in lung cancer patients.

Gene-gene interaction of AhRwith and within the Wntcascade affects susceptibility to lung cancer

BACKGROUND

Aberrant Wnt signalling, regulating cell development and stemness, influences the development of many cancer types. The Aryl hydrocarbon receptor (AhR) mediates tumorigenesis of environmental pollutants. Complex interaction patterns of genes assigned to AhR/Wnt-signalling were recently associated with lung cancer susceptibility.

AIM

To assess the association and predictive ability of AhR/Wnt-genes with lung cancer in cases and controls of European descent.

METHODS

Odds ratios (OR) were estimated for genomic variants assigned to the Wnt agonist and the antagonistic genes DKK2, DKK3, DKK4, FRZB, SFRP4 and Axin2. Logistic regression models with variable selection were trained, validated and tested to predict lung cancer, at which other previously identified SNPs that have been robustly associated with lung cancer risk could also enter the model. Furthermore, decision trees were created to investigate variant × variant interaction. All analyses were performed for overall lung cancer and for subgroups.

RESULTS

No genome-wide significant association of AhR/Wnt-genes with overall lung cancer was observed, but within the subgroups of ever smokers (e.g., maker rs2722278 SFRP4; OR  = 1.20; 95% CI 1.13-1.27; p  = 5.6 × 10-10) and never smokers (e.g., maker rs1133683 Axin2; OR  = 1.27; 95% CI 1.19-1.35; p  = 1.0 × 10-12). Although predictability is poor, AhR/Wnt-variants are unexpectedly overrepresented in optimized prediction scores for overall lung cancer and for small cell lung cancer. Remarkably, the score for never-smokers contained solely two AhR/Wnt-variants. The optimal decision tree for never smokers consists of 7 AhR/Wnt-variants and only two lung cancer variants.

CONCLUSIONS

The role of variants belonging to Wnt/AhR-pathways in lung cancer susceptibility may be underrated in main-effects association analysis. Complex interaction patterns in individuals of European descent have moderate predictive capacity for lung cancer or subgroups thereof, especially in never smokers.

A comprehensive meta-analysis and a case-control study give insights into genetic susceptibility of lung cancer and subgroups

Reports of genetic association of polymorphisms with lung cancer in the Indian subcontinent are often conflicting. To summarise and replicate published evidence for association with lung cancer and its subgroups. We performed a meta-analysis of candidate associations on lung cancer, its histological subtypes and smoking status in the Indian subcontinent following PRISMA guidelines. Multiple testing corrections were done by the Benjamini-Hochberg method through assessment of significance at a false discovery rate of 10%. We genotyped and investigated rs1048943/CYP1A1 in a case-control sample from eastern India, followed by its global meta-analysis using a similar protocol. Meta-analysis of 18 variants of 11 genes reported in 39 studies (7630 cases and 8169 controls) showed significant association of rs1048943/CYP1A1 [2.07(1.49-2.87)] and rs4646903/CYP1A1 [1.48(1.93-1.95)] with overall lung cancer risk at 10% FDR, while nominal association (p < 0.05) was observed for del1/GSTT1, del2/GSTM1, rs1695/GSTP1 and rs17037102/ DKK2. Subtype analysis showed a significant association of del1/GSTT1 with adenocarcinoma, rs4646903/CYP1A1 with squamous carcinoma, and rs1048943/CYP1A1 with both. Association of rs4646903/CYP1A1 in smokers and effect modification by meta-regression analysis was observed. Genotyping of rs1048943/CYP1A1 that presented significant heterogeneity (p < 0.1) revealed an association with adenocarcinoma among eastern Indian smokers, while a global meta-analysis in 10458 cases and 10871 controls showed association with lung cancer and its subgroups. This study identified the susceptibility loci for lung cancer and its covariate-subgroups.

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

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 sFRP4_rs1802073 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 sFRP4_rs1802073 and DKK2_rs419558 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; DKK2_rs17037102 (M)/DKK2_rs419558 (M) showed a tenfold risk of acquiring lung cancer, p = 0.0001. DKK2_rs17037102 (M)/AhR_rs2066853 (W)/AhR_rs10250822 (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.