AUTHOR=Dhuyser Adèle , Remen Thomas , Pérès Michaël , Chamberlain-Evans Vitalina , Nemat-Gorgani Neda , Campidelli Arnaud , Clément Sandra , Rubio Marie Thérèse , Trowsdale John , Aarnink Alice , Traherne James TITLE=Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation JOURNAL=Frontiers in Immunology VOLUME=14 YEAR=2023 URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2023.1028162 DOI=10.3389/fimmu.2023.1028162 ISSN=1664-3224 ABSTRACT=
The biological processes underlying NK cell alloreactivity in haematopoietic stem cell transplantation (HSCT) remain unclear. Many different models to predict NK alloreactivity through KIR and MHC genotyping exist, raising ambiguities in its utility and application for clinicians. We assessed 27 predictive models, broadly divided into six categories of alloreactivity prediction: ligand-ligand, receptor-ligand, educational, KIR haplotype-based, KIR matching and KIR allelic polymorphism. The models were applied to 78 NGS-typed donor/recipient pairs undergoing allogeneic HSCT in genoidentical (n=43) or haploidentical (n=35) matchings. Correlations between different predictive models differed widely, suggesting that the choice of the model in predicting NK alloreactivity matters. For example, two broadly used models,