کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3286849 1209313 2011 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
HCV-GenoFibrotest: A combination of viral, liver and genomic (IL28b, ITPA, UGT1A1) biomarkers for predicting treatment response in patients with chronic hepatitis C
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی بیماری‌های گوارشی
پیش نمایش صفحه اول مقاله
HCV-GenoFibrotest: A combination of viral, liver and genomic (IL28b, ITPA, UGT1A1) biomarkers for predicting treatment response in patients with chronic hepatitis C
چکیده انگلیسی

SummaryBackground and aimThree gene polymorphisms, interferon-lambda-3 (IL28B), inosinetriphosphatase (ITPA) and bilirubinuridine diphosphate-glucuronosyltransferase (UGT1A1) are associated with treatment (interferon and ribavirin) efficacy and adherence in patients with chronic hepatitis C. The hypothesis was that fibrosis stage estimated with FibroTest instead of biopsy was still an independent predictive factor of sustained virologic response (SVR) when these new polymorphisms were assessed.MethodsPatients receiving standard of care treatment were retrospectively analyzed with determination of IL28B, ITPA, and UGT1A1 polymorphisms. Baseline prognostic factors were combined using logistic regression analysis in a training group (157 patients) and validated in avalidation group (79 patients).ResultsThe combination of the five most predictive factors (HCV genotype 2/3, IL28B genotype, FibroTest, ActiTest and viral load) in the training population had AUROC for SVR = 0.743 (0.655–0.810; P < 0.0001 vs. random), which was validated in the validation population, AUROC = 0.753 (0.616–849; P = 0.0007 vs. random, not different from training P = 0.88). FibroTest remained significant [OR = 4.20 (2.59–12.50); P = 0.03] after assessment of the IL28B CC, HCV genotype and viral load.ConclusionFibrosis stage assessed by FibroTest is an independent predictor of SVR, after accounting for the IL28B genetic polymorphism. A combination of five baseline biomarkers could simplify the baseline prediction of SVR.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Clinics and Research in Hepatology and Gastroenterology - Volume 35, Issue 3, March 2011, Pages 204–213
نویسندگان
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