Skip to main content
. 2019 Dec;7(24):806. doi: 10.21037/atm.2019.12.60

Table 2. Analysis of Association of SNPs gene models with ORR with/without consideration of potential confounders.

Gene Polymorphisms Gene model ORR ORR
P-SV# OR-SV# (95% CI) P-MV* OR-MV* (95% CI)
CYP1A1 rs1048943 (CYP1A1*2C) DOM 0.449 2.40 (0.248–23.181) 0.229 5.223 (0.354–77.086)
REC 0.358 1.714 (0.543–5.410) 0.813 1.201 (0.264–5.465)
rs2606345 DOM 0.168 2.963 (0.633–13.869) 0.292 3.300 (0.358–30.398)
CYP1A2 rs762551 REC 0.082 0.368 (0.120–1.134) 0.048 0.196 (0.039–0.983)
CYP3A4 rs2242480 (CYP3A4*1G) DOM 0.330 0.294 (0.025–3.454) 0.486 0.387 (0.027–5.589)
REC 0.722 0.822 (0.279–2.419) 0.942 1.060 (0.220–5.101)
POR rs1057868 (POR*37) DOM 0.273 2.588 (0.477–13.711) 0.039 14.729 (1.146–189.37)
REC 0.336 0.547 (0.160–1.870) 0.682 0.726 (0.158–3.347
rs17685 (POR*11) DOM 0.594 1.607 (0.281–9.188) 0.142 6.654 (0.529–83.747)
REC 0.801 0.857 (0.258–2.844) 0.873 1.126 (0.263–4.821)
UGT1A7 rs6759892 DOM 0.468 0.667 (0.223–1.994) 0.907 1.089 (0.261–4.551)
ABCB1 rs10256836 REC 0.847 1.118 (0.359–3.484) 0.772 1.260 (0.263–6.029)
rs1045642 DOM 0.298 0.425 (0.085–2.128) 0.679 0.674 (0.104–4.383)
REC 0.419 0.615 (0.190–1.995) 0.187 0.277 (0.041–1.861)
rs1128503 DOM 0.778 1.167 (0.399–3.408) 0.936 1.059 (0.263–4.254)
REC 0.893 0.900 (0.193–4.194) 0.782 1.346 (0.164–11.043)
rs2032582 DOM 0.068 0.219 (0.043–1.117) 0.020 0.033 (0.002–0.585)
REC 0.050 0.259 (0.067–1.000) 0.136 0.286 (0.055–1.480)
ABCG2 rs2231137 DOM 0.431 1.556 (0.518–4.669) 0.399 1.764 (0.472–6.600)
REC 0.829 0.762 (0.065–8.943) 0.742 1.757 (0.061–50.617)
rs2231142 DOM 0.968 0.978 (0.329–2.907) 0.891 1.102 (0.275–4.411)
REC 0.396 0.375 (0.039–3.605) 0.546 0.376 (0.016–8.967)

#, single variant logistic analysis for the contribution of the SNPs gene models for the ORR; *, adjusted P value by multivariate logistic regression analysis (Enter method) for potential clinical confounders, including gender, BSA, age, PS, smoking history, staging, pathology, EGFR status, treatment lines and platinum chemotherapy. SV, single variant logistic analysis; MV, multivariate logistic regression analysis; ORR, overall response rate; OR, odds ratio; 95% CI, 95% confidence interval; DOM, dominant model; REC, recessive model; SNPs, single nucleotide polymorphisms.