کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2524173 1119545 2014 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Gene expression profile of 5-fluorouracil metabolic enzymes in laryngeal cancer cell line: Predictive parameters for response to 5-fluorouracil-based chemotherapy
ترجمه فارسی عنوان
مشخصات بیان ژن از آنزیم های متابولیک 5-فلوروکورازیل در سلول های سرطانی حنجره: پارامترهای پیش بینی شده برای پاسخ به شیمیدرمانی مبتنی بر 5-فلورووراسیس
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی تومور شناسی
چکیده انگلیسی

Background5-fluorouracil (5-FU) is an antifolate chemotherapeutic that has become established in many therapeutic regimes, but sensitivity variations and development of resistance are common problems that limit the efficiency of the treatments. Inter-individual variations to 5-FU outcome have been attributed to different expression profiles of genes related to folate metabolism.MethodsTo elucidate the mechanisms of variations to 5-FU outcome, the authors investigated MTHFR, DHFR, TYMS and SLC19A1 folate genes expression for 5-FU response in laryngeal cancer cell line (Hep-2). Concentrations of 10, 50, and 100 ng/mL of 5-FU chemotherapeutic were added separately in Hep-2 cell line for 24 hours at 37 °C. Cell sensibility was evaluated with fluorescein isothiocyanate (FITC) label Bcl-2 by flow cytometry. The real-time quantitative PCR (qPCR) technique was performed for quantification of gene expression using TaqMan® Gene Expression Assay. ANOVA and Bonferroni's post hoc tests were utilized to statistical analysis.ResultsThe numbers of viable Hep-2 cells with 10, 50, and 100 ng/mL concentrations of 5-FU chemotherapy were 15.87, 28.3 and 68.9%, respectively. Statistical analysis showed significant association between control group and increased expression for TYMS gene in cells treated with 100 ng/mL/5-FU chemotherapy (P < 0.05).ConclusionsThe authors found association between the highest 5-FU dose chemotherapy and increased expression levels for TYMS folate gene in laryngeal cancer cell line. Although these experiments were performed in vitro, the results suggest that genetic factors are thought to play an important role in drug metabolism and may be useful for predicting treatment outcomes.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomedicine & Pharmacotherapy - Volume 68, Issue 5, June 2014, Pages 515–519
نویسندگان
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