Figure 1.
Schematic representation of functional domains of ABCC1.
Figure depicts functional domains of ABCC1 protein (A) and important structural motifs within NBD1 (B). Data modified from NCBI’s Conserved Domain Database (CDD) [49].
Table 1.
Clinical-pathological characteristics of patients.
Figure 2.
Haplotype analysis of ABCC1 SNPs.
Figure indicates linkage disequilibrium plot (A) and three blocks comprising of SNP diplotypes (B) predicted from experimental data obtained in the present study. The likelihood of linkage of two tested SNPs increases from white to red color (A). Population frequency of diplotypes and connections from one diplotype block to the next one are shown (B). Analysis was performed by HaploView v4.2 program.
Table 2.
Distribution of ABCC1 SNPs and allele frequencies in breast cancer patients.
Table 3.
Distribution of ABCC1 diplotypes predicted by HaploView v4.2.
Figure 3.
Significant associations between transcript levels and polymorphisms in ABCC1.
All SNPs and frequent diplotypes were analyzed but to retain concise style only significant associations are reported.
Table 4.
Significant associations of ABCC1 polymorphisms with expression levels.
Table 5.
Significant associations of ABCC1 polymorphisms with clinical data.
Figure 4.
Significant associations between DFS of patients with breast carcinoma and SNPs in ABCC1.
Kaplan-Meier survival curves for patients treated by chemotherapy (A) and hormonal therapy (B) were analyzed by Breslow test. In part A, dashed line represents DFS of patients with the GG genotype in rs4148353, while solid line indicates that of patients with the T allele. In part B, dashed line represents DFS of patients with the G allele in rs35628 and solid line DFS of those with the AA genotype. All SNPs have been analyzed but to retain concise style only significant associations are reported.