The Impact Of Interleukin 28b Gene Polymorphism On The Virological Response To Combined Pegylated Interferon And Ribavirin Therapy In Chronic HCV Genotype 4 Infected Egyptian Patients Using Data Mining Analysis. - Info and Reading Options

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This article is from <a href="//archive.org/search.php?query=journaltitle%3A%28Hepatitis%20Monthly%29" rel="nofollow">Hepatitis Monthly</a>, <a href="//archive.org/search.php?query=journaltitle%3A%28Hepatitis%20Monthly%29%20AND%20volume%3A%2813%29" rel="nofollow">volume 13</a>.<h2>Abstract</h2>Background: Chronic HCV represents one of the common causes of chronic liver disease worldwide with Egypt having the highest prevalence, namely genotype 4. Interleukin IL-28B gene polymorphism has been shown to relate to HCV treatment response, mainly in genotype1.Objectives: We aim to evaluate the predictive power of the rs12979860 IL28B SNP and its protein for treatment response in genotype 4 Egyptian patients by regression analysis and decision tree analysis.Patients and Methods: The study included 263 chronic HCV Egyptian patients receiving peg-interferon and ribavirin therapy. Patients were classified into 3 groups; non responders (83patients), relapsers (76patients) and sustained virological responders (104 patients). Serum IL 28 B was performed, DNA was extracted and analyzed by direct sequencing of the SNP rs 12979860 of IL28B gene.Results: CT, CC and TT represented 56 %, 25 % and 19% of the patients, respectively. Absence of C allele (TT genotype) was significantly correlated with the early failure of response while CC was associated with sustained virological response. The decision tree showed that baseline alpha fetoprotein (AFP ≤ 2.68 ng/ml) was the variable of initial split (the strongest predictor of response) confirmed by regression analysis. Patients with TT genotype had the highest probability of failure of response.Conclusions: Absence of the C allele was significantly associated with failure of response. The presence of C allele was associated with a favorable outcome. AFP is a strong baseline predictor of HCV treatment response. A decision tree model is useful for predicting the probability of response to therapy.

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