ArticleFrontiers in immunology2023
Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 5 citations in OpenAlex.
- Two-way tuning of the decidual natural killer cells and recurrent pregnancy loss.Scientific reports · 2026Article
- Contrasting relapse rate associated with the absence of HLA-A3/A11 in T cell-replete haploidentical transplantation.Frontiers in immunology · 2026Article
- Identification of HLA ligands in dengue patients by multiplex PCR-SSP method.Molecular biology reports · 2025Article
- Prediction and effect on relapse of natural killer cell alloreactivity based on KIR-HLA interactions in pediatric haploidentical transplantation with anti-thymoglobulin.Frontiers in immunology · 2025Article
- The role and novel use of natural killer cells in graft-versus-leukemia reactions after allogeneic transplantation.Frontiers in immunology · 2024Review
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
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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,
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