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Early reduced liver graft survival in hepatitis C recipients identified by two combined genetic markers.

Renato RomagnoliSilvia MartiniFrancesco TandoiDominic Dell OlioPaola MagistroniFrancesca E BertinettoEnnia DamettoMario RizzettoMauro SalizzoniAntonio Amoroso
Published in: Transplant international : official journal of the European Society for Organ Transplantation (2016)
HLA and IL-28B genes were independently associated with severity of HCV-related liver disease. We investigated the effects of these combined genetic factors on post-transplant survival in HCV-infected recipients, aiming to provide new data to define the optimal timing of novel antiviral therapies in the transplant setting. HLA-A/B/DRB1 alleles and IL-28B rs12979860 (C > T) polymorphism frequencies were determined in 449 HCV viremic recipients and in their donors. Median follow-up was 10 years; study outcome was graft survival. HLA-DRB1*11 phenotype and IL-28B C/C genotype were significantly less frequent in recipients than donors (27.8% vs. 45.9% and 27.4% vs. 44.9%, respectively, P < 0.00001). Ten-year graft survival was better in patients with HLA-DRB1*11 (P = 0.0183) or IL-28B C/C (P = 0.0436). Conversely, concomitant absence of HLA-DRB1*11 and IL-28B C/C in 228 (50.8%) predicted worse survival (P = 0.0006), which was already evident at the first post-transplant year (P = 0.0370). In multivariable Cox analysis, absence of both markers ranked second as risk factor for survival (HR = 1.74), following donor age ≥ 70 years (HR = 1.77). In the current era of direct-acting antiviral agents, the negative effects of this common immunogenetic profile in HCV-infected recipients could be most effectively neutralized by peri-transplant treatment. This should be particularly relevant in countries where elderly donors represent an unavoidable resource.
Keyphrases
  • kidney transplantation
  • hepatitis c virus
  • free survival
  • genome wide
  • human immunodeficiency virus
  • gene expression
  • mass spectrometry
  • high resolution
  • high speed
  • artificial intelligence
  • antiretroviral therapy