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Abstract: Our study compared all requests for confirmatory typing (CT requests) received in our center between May 2007 and December 2009 (n = 134) for donors issued from 3 groups defined by different human leukocyte antigen (HLA) loci typed at different levels of resolution. We observed a significant advantage for volunteers when HLA-C 2-digit typing was available or with HLA-A, -B, -C, -DRB1 4-digit typing compared with generic HLA-A, -B, -DRB1, -DQB1 DNA typing: increased percentage of CT requests (p < 0.001), increased rate of donor selection for donation (p < 0.001), and decreased time frame for donor search (p = 0.025). The time frame for a successful search (donation) is similar among the 3 groups, indicating that the search might be concluded more rapidly when the pathology is clinically active or when the patient is at a high risk of relapse (76% of our cases) or for pediatric patients (24% of our cases), regardless of HLA typing resolution. Improvement of HLA typing for volunteers could be a great advantage for first selection in the absence of emergency or high-risk disease. Knowledge of HLA-C should be used to prioritize the selection of donors for further testing and could allow a better donor selection process, reducing search duration and increasing efficiency. In most cases, 2-digit typing for HLA-C associated with specific tools to estimate the probability of finding a matched donor could be sufficient. [Copyright &y& Elsevier]

Given their antileukemic activity, natural killer (NK) cells can alter the outcome of hematopoietic stem cell transplantation (HSCT). The physiologic functions of NK cells are regulated by the interaction of killer immunoglobulin-like receptors (KIR) with specific HLA class I ligands. In the literature, different models based on HLA class I and/or KIR donor (D)/recipient (R) gene disparities are considered as predictors of NK cell alloreactivity. In this retrospective and multicentric French study, we analyzed the clinical impact of the different NK-alloreactivity models in 264 patients who underwent T repleted unrelated HSCT. First, we did not observe that the “KIR ligand-ligand” model had a significant clinical impact on unrelated HSCT outcome, whereas the “missing KIR ligand” model had a significant but limited effect on unrelated HSCT, because only the absence of C1 ligand in patients with myelogenous diseases was associated with a decreased overall survival (OS) (hazard ratio=2.17, P =.005). The “KIR receptor-receptor” and the “KIR receptor-ligand” models seemed the most capable of predicting NK alloreactivity because they had a significant impact on acute graft-versus-host disease (aGVHD) occurrence, OS, and relapse incidence in D/R unrelated pairs. In particular, KIR3DL1 gene mismatches in the GVH direction (D+R−) and the D KIR3DL1+/3DS1+ and R Bw4− combination were respectively correlated with the lowest OS in HLA identical pairs (HR=1.99, P =.02) and the highest incidence of relapse in HLA nonidentical D/R unrelated pairs (HR=4.72, P =.03). Overall, our results suggest a detrimental effect of KIR3DL1+/3DS1+ donor NK cells transplanted into HLA-Bw4− patients in the absence of an educational process via KIR3DL1/HLA-Bw4 interactions. [Copyright &y& Elsevier]

Abstract: Human leukocyte antigen (HLA) matching remains a key issue in the outcome of transplantation. In hematopoietic stem cell transplantation with unrelated donors, the matching for compatible donors is based on the HLA phenotype information. In familial transplantation, the matching is achieved at the haplotype level because donor and recipient share the block-transmitted major histocompatibility complex region. We present a statistical method based on the HLA haplotype inference to refine the HLA information available in an unrelated situation. We implement a systematic statistical inference of the haplotype combinations at the individual level. It computes the most likely haplotype pair given the phenotype and its probability. The method is validated on 301 phase-known phenotypes from CEPH families (Centre d’Etude du Polymorphisme Humain). The method is further applied to 85,933 HLA-A B DR typed unrelated donors from the French Registry of hematopoietic stem cells donors (France Greffe de Moëlle). The average value of prediction probability is 0.761 (SD 0.199) ranging from 0.26 to 1. Correlations between phenotype characteristics and predictions are also given. Homozygosity (OR = 2.08; [2.02–2.14] p &#60;10−3) and linkage disequilibrium (p &#60;10−3) are the major factors influencing the quality of prediction. Limits and relevance of the method are related to limits of haplotype estimation. Relevance of the method is discussed in the context of HLA matching refinement. [Copyright &y& Elsevier]