A predictive model of treatment outcome in patients with chronic HCV infection using IL28B and PD-1 genotyping
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Published on: January 7, 2019
Jose Ramón Vidal-Castiñeira1, Antonio López-Vázquez, Rebeca Alonso-Arias
1Immunology Service, Hospital Universitario Central de Asturias, Oviedo, Spain.
Background & Aims:
The advent of new chronic hepatitis C virus (HCV) therapies requires characterization of patients in order to predict adequate treatment. A good candidate marker is Programmed Cell Death-1 (PD-1) which is involved in progression of HCV infection. The aim of this study was to analyse the effect of several single nucleotide polymorphisms of PD-1 gene and several previously associated factors (IL28B and KIR receptors) on treatment responses.
Methods:
407 HCV chronic infected patients treated with PEG-IFN-α and ribavirin were recruited and classified according to their response to treatment. They were genotyped for PD-1 and IL28B polymorphisms, killer immunoglobulin-like receptors (KIR) and HLA genes. A multivariate logistic regression analysis and a Chi-squared Automatic Interaction Detector (CHAID) prediction model of response included these and other clinical parameters.
Results:
Our results showed that PD-1.3/A allele was significantly associated with sustained virological response (SVR) in a multivariate logistic regression analysis (p<0.01, OR=2.57). Additionally, IL28B C/C genotype was the most significant predictor of an SVR to treatment in all HCV genotypes (74.5%). In IL28B C/C patients, the presence of PD-1.3/A allele increased the probability of an SVR to 93.3%. Moreover, when this analysis was made only with patients infected by HCV-1, the predictive value of IL28B C/C genotype with PD-1.3/A allele was 90%.
Conclusions:
PD-1.3/A allele is associated with SVR to treatment and notably increases the predictive value of IL28B C/C genotype. Both markers in conjunction could be a useful tool, more relevant than HCV genotype in some cases, in clinical practice.
