Prevalence of CTR1 and ERCC1 Polymorphisms and Response of Biliary Tract Cancer to Gemcitabine-Platinum Chemotherapy

Document Type: Research Articles

Authors

1 Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand

2 Medical Oncology Unit, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand

Abstract

 
Purpose: Biliary tract cancer (BTC)is an aggressive disease with a poor prognosis. Most patients are diagnosed at an advanced stage for which curative surgery is not possible and gemcitabine-platinum chemotherapy is the treatment of choice for advanced cases. Several studies had focused on biomarkers to predict response from platinum drugs in lung cancer, but information is limited for BTC. In this study, two single nucleotide polymorphisms (SNPs) in the copper transporter (CTR1) and excision repair cross-complementary group 1 (ERCC1) genes were investigated as predictive biomarkers of objective response to gemcitabine-platinum. Methods: This cohort study aimed to assess any associations of genetic polymorphisms of these proteins active in drug pathway with treatment response in advanced BTC patients. Twenty six patients were enrolled. DNA was extracted from peripheral blood and genetic polymorphisms were assessed by Taqman allelic discrimination assay. Response was evaluated according to RECIST version 1.1 . Results: For the CTR1 polymorphism, GT was the most common genotype (61.5%) followed by GG (34.6%), and TT (3.8%). For the ERCC1 polymorphism, only 2 genotypes were found, CC and CT at 57.7% and 42.3%, respectively. Genetic polymorphisms were not found to be singly associated with response. However, when the 2 genetic polymorphisms were combined, GG/CC showed a higher response rate than the others (p=0.018, Fisher’s Exact Test). Conclusion: This is the first study to show an association between CTR1 and ERCC1 polymorphisms and response to gemcitabine-platinum in advanced BTC patients. These polymorphisms might be used as biomarkers to predict response in such cases in the future.

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