Distribution of CYP2C19*17 allele and genotypes in an Indian population.

WHAT IS KNOWN AND OBJECTIVE: CYP2C19*17 allele increases the metabolic activity of CYP2C19 resulting in decreased therapeutic levels of CYP2C19 substrates. There exist inter-ethnic differences in the distribution of this allele. The present study was aimed at establishing the allele and genotype frequencies of CYP2C19*17 in a South Indian Tamilian population. Furthermore, we describe the haplotype structure of the three common variant alleles of CYP2C19 in the Tamilian population. METHODS: Two hundred and six subjects of South Indian Tamilian origin were genotyped for CYP2C19*17 allele by nested polymerase chain reaction and restriction fragment length polymorphism. A subset of 87 subjects were also genotyped for CYP2C19*2 and CYP2C19*3 alleles. After ascertaining linkage disequilibrium (LD), haplotypes were constructed. Allele and genotype frequencies, LD pattern and haplotype frequency were compared with those of the HapMap populations. RESULTS AND DISCUSSION: The CYP2C19*17 allele frequency in the Tamilian population (n = 206) was found to be 19·2% (95% CI: 15·4 - 20·3). The CYP2C19*2 allele frequency (n = 87) was found to be 40·2% (95% CI: 32·9 - 47·5), whereas the CYP2C19*3 allele was not detected in the study subjects (n = 97). The high frequency of the CYP2C19*17 allele in the study population has resulted in a revision of frequencies for CYP2C19*1/*2 (31·0%) and CYP2C19*1/*1 (16·1%) genotypes in the Tamilian population. We also observed significant differences in haplotype structure and frequencies of these variant alleles in the HapMap population compared to Tamilian population. WHAT IS NEW AND CONCLUSION: CYP2C19*17 allele is present at high frequency in the Tamilian population. This study also demonstrates the need for reassessment of wild-type allele frequencies in view of CYP2C19*17 allele. The estimated high frequency of CYP2C19*17 allele will aid in genotype-phenotype association studies in the Tamilian population. Further genotype-phenotype association studies are required to evaluate the clinical utility of this allele in South Indians.

Influence of CYP2C9 gene polymorphisms on response to glibenclamide in type 2 diabetes mellitus patients.

PURPOSE: The antidiabetic drug glibenclamide is metabolized by the enzyme cytochrome P450 2C9 (CYP2C9) encoded by the polymorphic gene CYP2C9. Previous studies involving healthy volunteers have shown a significant influence of variant CYP2C9 genotypes on glibenclamide metabolism. The aim of this study was to investigate the influence of genetic polymorphisms of CYP2C9 on the response to glibenclamide and on glibenclamide plasma levels in type 2 diabetes mellitus patients. METHODS: The study cohort consisted of type 2 diabetes mellitus patients (n = 80) on regular therapy with glibenclamide either alone or with concomitant metformin. Plasma levels of glibenclamide were estimated by reverse phase high pressure liquid chromatography. The variant alleles of CYP2C9, namely CYP2C9 *2 and *3, were identified by PCR-restricted fragment length polymorphism. The plasma levels of glibenclamide and occurrences of hypoglycemic adverse effects with their severity were compared between the genotype groups. RESULTS: Of the 80 patients (61 males, 19 females), 78 were on concomitant treatment with two drugs, namely, glibenclamide and metformin, and two were on monotherapy with glibenclamide. There was a significant association (p < 0.001) between genotype status of CYP2C9 and the control of diabetes in patients receiving treatment with glibenclamide. There were no statistically significant differences in hypoglycemic adverse effects between the genotype groups. CONCLUSION: The type 2 diabetes mellitus patients participating in this study with variant genotypes of CYP2C9 were found to respond better to treatment with glibenclamide than those with the normal genotype. The variant genotype CYP2C9 *1/*3 did not significantly influence the hypoglycemic adverse effects among those patients on long-term glibenclamide treatment.

P-glycoprotein expression as a predictor of response to neoadjuvant chemotherapy in breast cancer.

BACKGROUND: Chemoresistance is an important factor determining the response of tumor to neoadjuvant chemotherapy (NACT). P-glycoprotein (P-gp) expression-mediated drug efflux is one of the mechanisms responsible for multi-drug resistance. Our study was aimed to determine the role of P-gp expression as a predictor of response to NACT in locally advanced breast cancer (LABC) patients. MATERIALS AND METHODS: P-gp expression was performed by real-time quantitative polymerase chain reaction [qRT-PCR] in 76 patients with LABC. Response to adriamycin-based regimen was assessed both clinically and with contrast enhanced computed tomography (CECT) scan before and after NACT. The significance of correlation between tumor and P-gp levels was determined with Chi-square test. RESULTS: Twenty-one had high and 55 had low P-gp expression. On analyzing P-gp expression with response by World Health Organization (WHO) criteria, statistical significance was obtained (P = 0.038). Similarly, assessment of P-gp expression with response by Response Evaluation in Solid Tumors (RECIST) criteria in 48 patients showed statistical significance (P = 0.0005). CONCLUSION: This study proves that P-gp expression is a determinant factor in predicting response to NACT. Finally, detection of P-gp expression status before initiation of chemotherapy can be used as a predictive marker for NACT response and will also aid in avoiding the toxic side effects of NACT in non-responders.