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Objective: To assess the association of single nucleotide polymorphisms (SNPs) in SLCO1B3 gene with prognosis of breast cancer (BC) patients treated with neoadjuvant chemotherapy of TA regimen (taxane and antharcycline drugs). Methods: 439 female BC patients were recruited and treated with neoadjuvant chemotherapy of TA regimen. A blood sample (2 ml) of peripheral blood was collected from each patient before chemotherapy. Tagging SNPs (tag-SNPs) were selected. We investigated the association of tag-SNPs with prognosis, by Sequenom Mass ARRAY system platform, characterizing tag-SNPs. The hazard ratio (HR) and 95% confidence interval (CI) for progression or death were calculated by multivariable-adjusted Cox regression model. Results: Seven tag-SNPs (rs11045689, rs200104106, rs3764006, rs3834935, rs4149117, rs7305323 and rs73241801) were selected for study. Compared with individuals carrying the rs11045689 GG genotype, individuals carrying rs11045689 AA genotype performed worse PFS and OS, with the HR (95% CI) for progression being 1.39 (1.11~1.75) and the HR (95% CI) for death being 1.38 (1.04~1.83). Compared with individuals carrying the rs73241801 CC genotype, individuals carrying rs73241801 TT genotype performed better OS (P=0.041), with the HR (95% CI) for death being 0.65 (0.44~0.94). The number of risk allele was significantly associated with PFS (P=0.012) and OS (P=0.017) of BC patients by accumulation analysis. Compared with individuals carrying one or less than one risk allele, individuals carrying four risk alleles performed worse PFS and OS, with the HR (95% CI) for progression being 1.37 (1.09~1.72) and the HR (95% CI) for death being 1.36 (1.02~1.81). Conclusion: The variations of rs11045689 and rs73241801 in SLCO1B3 gene were significantly associated with prognosis of BC patients treated with neoadjuvant chemotherapy of TA regimen, which might serve as biomarkers for predicting prognosis of BC patients treated with neoadjuvant chemotherapy.

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The formation mechanism underlying the blue eggshell characteristic has been discovered in birds, and SLCO1B3 is the key gene that regulates the blue eggshell color. Insertion of an endogenous retrovirus, EAV-HP, in the SLCO1B3 5' flanking region promotes SLCO1B3 expression in the chicken shell gland, and this expression causes bile salts to enter the shell gland, where biliverdin is secreted into the eggshell, forming a blue shell. However, at different laying stages of the same group of chickens, the color of the eggshell can vary widely, and the molecular mechanism underlying the eggshell color change remains unknown. Therefore, to reveal the molecular mechanism of the blue eggshell color variations, we analyzed the change in the eggshell color during the laying period. The results indicated that the eggshell color in Lushi chickens can be divided into three stages: 20-25 weeks for dark blue, 26-45 weeks for medium blue, and 46-60 weeks for light blue. We further investigated the expression and methylation levels of the SLCO1B3 gene at eight different weeks, finding that the relative expression of SLCO1B3 was significantly higher at 25 and 30 weeks than at other laying weeks. Furthermore, the overall methylation rate of the SLCO1B3 gene in Lushi chickens increased gradually with increasing weeks of egg production, as shown by bisulfite sequencing PCR. Pearson correlation analysis showed that methylation of the promoter region of SLCO1B3 was significantly negatively correlated with both SLCO1B3 expression in the shell gland tissue and eggshell color. In addition, we predicted that CpG5 and CpG8 may be key sites for regulating SLCO1B3 gene transcription. Our findings show that as the level of methylation increases, methylation of the CpG5 and CpG8 sites hinders the binding of transcription factors to the promoter, reducing SLCO1B3 expression during the late period and resulting in a lighter eggshell color.

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Objective@#To assess the association of single nucleotide polymorphisms (SNPs) in SLCO1B3 gene with prognosis of breast cancer (BC) patients treated with neoadjuvant chemotherapy of TA regimen (taxane and antharcycline drugs).@*Methods@#439 female BC patients were recruited and treated with neoadjuvant chemotherapy of TA regimen. A blood sample (2 ml) of peripheral blood was collected from each patient before chemotherapy. Tagging SNPs (tag-SNPs) were selected. We investigated the association of tag-SNPs with prognosis, by Sequenom Mass ARRAY system platform, characterizing tag-SNPs. The hazard ratio (HR) and 95% confidence interval (CI) for progression or death were calculated by multivariable-adjusted Cox regression model.@*Results@#Seven tag-SNPs (rs11045689, rs200104106, rs3764006, rs3834935, rs4149117, rs7305323 and rs73241801) were selected for study. Compared with individuals carrying the rs11045689 GG genotype, individuals carrying rs11045689 AA genotype performed worse PFS and OS, with the HR (95% CI) for progression being 1.39 (1.11~1.75) and the HR (95% CI) for death being 1.38 (1.04~1.83). Compared with individuals carrying the rs73241801 CC genotype, individuals carrying rs73241801 TT genotype performed better OS (P=0.041), with the HR (95% CI) for death being 0.65 (0.44~0.94). The number of risk allele was significantly associated with PFS (P=0.012) and OS (P=0.017) of BC patients by accumulation analysis. Compared with individuals carrying one or less than one risk allele, individuals carrying four risk alleles performed worse PFS and OS, with the HR (95% CI) for progression being 1.37 (1.09~1.72) and the HR (95% CI) for death being 1.36 (1.02~1.81).@*Conclusion@#The variations of rs11045689 and rs73241801 in SLCO1B3 gene were significantly associated with prognosis of BC patients treated with neoadjuvant chemotherapy of TA regimen, which might serve as biomarkers for predicting prognosis of BC patients treated with neoadjuvant chemotherapy.

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In total, 246 individuals from 8 Chinese indigenous blue- and brown-shelled chicken populations (Yimeng Blue, Wulong Blue, Lindian Blue, Dongxiang Blue, Lushi Blue, Jingmen Blue, Dongxiang Brown, and Lushi Brown) were genotyped for 21 SNP markers from the SLCO1B3 gene to evaluate phylogenetic relationships. As a representative of nonblue-shelled breeds, White Leghorn was included in the study for reference. A high proportion of SNP polymorphism was observed in Chinese chicken populations, ranging from 89% in Jingmen Blue to 100% in most populations, with a mean of 95% across all populations. The White Leghorn breed showed the lowest polymorphism, accounting for 43% of total SNPs. The mean expected heterozygosity varied from 0.11 in Dongxiang Blue to 0.46 in Yimeng Blue. Analysis of molecular variation (AMOVA) for 2 groups of Chinese chickens based on eggshell color type revealed 52% within-group and 43% between-group variations of the total genetic variation. As expected, FST and Reynolds' genetic distance were greatest between White Leghorn and Chinese chicken populations, with average values of 0.40 and 0.55, respectively. The first and second principal coordinates explained approximately 92% of the total variation and supported the clustering of the populations according to their eggshell color type and historical origins. STRUCTURE analysis showed a considerable source of variation among populations for the clustering into blue-shelled and nonblue-shelled chicken populations. The low estimation of genetic differentiation (FST) between Chinese chicken populations is possibly due to a common historical origin and high gene flow. Remarkably similar population classifications were obtained with all methods used in the study. Aligning endogenous avian retroviral (EAV)-HP insertion sequences showed no difference among the blue-shelled chickens.

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