KIR in Allogeneic Hematopoietic Stem Cell Transplantation: Need for a Unified Paradigm for Donor Selection

Allogeneic hematopoietic stem cell transplantation (aHSCT) is a lifesaving therapy for hematological malignancies. For years, a fully matched HLA donor was a requisite for the procedure. However, new immunosuppressive strategies have enabled the recruitment of viable alternative donors, particularly haploidentical donors. Over 95% of patients have at least two potential haploidentical donors available to them. To identify the best haploidentical donor, the assessment of new immunogenetic criteria could help. To this end, the clinical benefit of KIR genotyping in aHSCT has been widely studied but remains contentious. This review aims to evaluate the importance of KIR-driven NK cell alloreactivity in the context of aHSCT and explain potential reasons for the discrepancies in the literature. Here, through a non-systematic review, we highlight how the studies in this field and their respective predictive models or scoring strategies could be conceptually opposed, explaining why the role of NK cells remains unclear in aHCST outcomes. We evaluate the limitations of each published prediction model and describe how every scoring strategy to date only partly delivers the requirements for optimally effective NK cells in aHSCT. Finally, we propose approaches toward finding the optimal use of KIR genotyping in aHSCT for a unified criterion for donor selection

Identification of circulating regulatory T lymphocytes with membrane markers — a new multiparameter flow cytometry protocol

Introduction. Regulatory T cells (Tregs) are a unique CD4+ T cell subset involved in the regulation of immune responses. The traditional immunophenotype used to define Tregs includes CD4+CD25high and the expression of the transcription factor Forkhead box protein 3 (FoxP3). A complex technique of intracellular staining, transient upregulation of FoxP3 in activated conventional T lymphocytes (Tcons), and the omission of naïve CD45RA+ Tregs with downregulated FoxP3 activity but a demethylated FOXP3 promoter region may lead to inaccurate quantification. In an attempt to meet the need for a reliable and simplified enumeration strategy, we investigated different membrane markers to capture the entire Treg compartment and to identify subpopulations of Tregs. Material and methods. Analyses were performed on whole blood. Tested gating strategies were based on the expression of the following membrane antigens: CD45, CD3, CD4, CD25, CD127, CD26, CD6, CD39, CD71, HLA-DR, CD45RA and CD31. Double controls with FoxP3 were performed. Results. The final enumeration panel consisted of the membrane markers CD45, CD3, CD4, CD25, CD127, CD26, CD39, CD45RA and CD31. A deep analysis of T cells with the CD4+CD25+CD127low/-CD26low/-CD45RAimmunophenotype revealed high expression of FoxP3 and/or CD39, while cells with the naïve immunophenotype, CD4+CD25+CD127low/-CD26low/-CD45RA+, presented lower expression of suppressor markers. Antigen CD31 is considered to be a valuable membrane marker of thymus-derived Tregs. Conclusions. The presented 9-color panel that can be easily applied in laboratories enables reliable enumeration of Tregs with additional information about the functionality, maturity and origin of T regulatory cells

Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation.

Peer reviewed: TrueThe 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, educational and receptor-ligand, led to opposing predictions especially in the genoidentical cohort. Correlations also depended on the matching fashion, suggesting that this parameter should also be taken into account in the choice of the scoring strategy. The number of centromeric B-motifs was the only model strongly correlated with the incidence of acute graft-versus-host disease in our set of patients in both the genoidentical and the haploidentical cohorts, suggesting that KIR-based alloreactivity, not MHC mismatches, are responsible for it. To our best knowledge, this paper is the first to experimentally compare NK alloreactivity prediction models within a cohort of genoidentical and haploidentical donor-recipient pairs. This study helps to resolve current discrepancies in KIR-based alloreactivity predictions and highlights the need for deeper consideration of the models used in clinical studies as well as in medical practice