Role of Four ABC Transporter Genes in Pharmacogenetic Susceptibility to Breast Cancer in Jordanian Patients
Table 4
Association between different ABCC1 and ABCC2 SNP genotypes and the clinicopathological characteristics of breast cancer (BC).
Clinical characteristics
ABCC1
ABCC2
rs35626 GG vs GT vs TT
rs35628 AA vs AG vs GG
rs4148351 CC vs CT vs TT
rs2273697 AA vs AG vs GG
rs3740065 AA vs AG vs GG
rs717620 CC vs CT vs TT
Body mass index
0.535
0.116
0.068
0.813
0.461
0.084
Age at first pregnancy
0.990
0.624
0.358
0.381
0.921
0.458
Age at BC diagnosis
0.311
0.352
0.198
0.042
0.194
0.104
Allergy
0.808
0.824
0.867
0.501
0.324
0.065
Age at menarche
0.219
0.824
0.373
0.820
0.747
0.611
Breastfeeding status
0.284
0.117
0.761
0.439
0.340
0.005
Age at menopause
0.437
0.665
0.373
0.115
0.155
0.251
Family history
0.669
0.605
0.762
0.472
0.891
0.415
Comorbidity
0.764
0.967
0.976
0.130
0.741
0.140
Smoking
0.237
0.287
0.163
0.320
0.406
0.362
Pathological characteristics
Progesterone receptor status
0.292
0.516
0.244
0.610
0.823
0.423
Estrogen receptor status
0.730
0.550
0.562
0.013
0.839
0.125
HER2
0.146
0.500
0.330
0.441
0.226
0.842
IHC profile
0.013
0.838
0.260
0.381
0.775
0.270
Tumor differentiation
0.754
0.940
0.963
0.768
0.718
0.431
Axillary lymph nodes
0.113
0.184
0.817
0.138
0.989
0.213
Tumor stage
0.491
0.751
0.665
0.748
0.999
0.357
Histology classification
0.963
0.502
0.348
0.301
0.294
0.661
Tumor size
0.888
0.014
0.968
0.720
0.576
0.922
Lymph node involvement
0.694
0.944
0.794
0.165
0.339
0.528
Pearson’s chi-squared test was used to determine genotype-phenotype association. Analysis of variance (ANOVA) test was used to determine genotype-phenotype association. P value <0.05 was considered as significant.
