AUTHOR=Schetelig Johannes , Baldauf Henning , Heidenreich Falk , Hoogenboom Jorinde D. , Spellman Stephen R. , Kulagin Alexander , Schroeder Thomas , Sengeloev Henrik , Dreger Peter , Forcade Edouard , Vydra Jan , Wagner-Drouet Eva Maria , Choi Goda , Paneesha Shankara , Miranda Nuno A. A. , Tanase Alina , de Wreede Liesbeth C. , Lange Vinzenz , Schmidt Alexander H. , Sauter Jürgen , Fein Joshua A. , Bolon Yung-Tsi , He Meilun , Marsh Steven G. E. , Gadalla Shahinaz M. , Paczesny Sophie , Ruggeri Annalisa , Chabannon Christian , Fleischhauer Katharina TITLE=Donor KIR genotype based outcome prediction after allogeneic stem cell transplantation: no land in sight JOURNAL=Frontiers in Immunology VOLUME=15 YEAR=2024 URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1350470 DOI=10.3389/fimmu.2024.1350470 ISSN=1664-3224 ABSTRACT=
Optimizing natural killer (NK) cell alloreactivity could further improve outcome after allogeneic hematopoietic cell transplantation (alloHCT). The donor’s Killer-cell Immunoglobulin-like Receptor (KIR) genotype may provide important information in this regard. In the past decade, different models have been proposed aiming at maximizing NK cell activation by activating KIR-ligand interactions or minimizing inhibitory KIR-ligand interactions. Alternative classifications intended predicting outcome after alloHCT by donor KIR-haplotypes. In the present study, we aimed at validating proposed models and exploring more classification approaches. To this end, we analyzed samples stored at the Collaborative Biobank from HLA-compatible unrelated stem cell donors who had donated for patients with acute myeloid leukemia (AML) or myelodysplastic neoplasm (MDS) and whose outcome data had been reported to EBMT or CIBMTR. The donor