Support of unrelated stem cell donor searches by donor center-initiated HLA typing of potentially matching donors.

Large registries of potential unrelated stem cell donors have been established in order to enable stem cell transplantation for patients without HLA-identical related donors. Donor search is complicated by the fact that the stored HLA information of many registered donors is incomplete. We carried out a project that was aimed to improve chances of patients with ongoing donor searches to find an HLA-matched unrelated donor. For that purpose, we carried out additional donor center-initiated HLA-DRB1 typing of donors who were only typed for the HLA loci A and B so far and were potential matches for patients in need of a stem cell transplant. In total, 8,861 donors were contacted for donor center-initiated HLA-DRB1 typing within 1,089 donor searches. 12 of these donors have donated stem cells so far, 8 thereof for their respective target patients. We conclude that chances of patients with ongoing donor searches to find an HLA-matched unrelated donor can indeed be improved by donor-center initiated typing that is carried out in addition to the standard donor search process. Our results also raise questions regarding the appropriate use of incompletely typed donors within unrelated donor searches.

Estimation of high-resolution HLA-A, -B, -C, -DRB1 allele and haplotype frequencies based on 8862 German stem cell donors and implications for strategic donor registry planning.

Human leukocyte antigen (HLA) haplotype frequency distributions in specific populations can be applied to optimize both individual stem cell donor searches and donor registry planning. We present allele and haplotype frequencies derived from a data set of 8862 German stem cell donors who were typed at high resolution for the HLA-A, HLA-B, HLA-C, and HLA-DRB1 genes upon registration. Calculated haplotype frequencies were used to estimate the probability p to find matching donors subject to donor registry size n. The impact of various matching standards on p(n) was analyzed. When high-resolution matching for HLA-A, HLA-B, HLA-C, and HLA-DRB1 is required, p(1,000,000) is 0.678. The corresponding value for n = 7,000,000 is 0.859. In a scenario with low-resolution matching and no consideration of HLA-C, p(1,000,000) is 0.863 and thus larger than p(7,000,000) in the scenario with stricter matching requirements. As recent findings support the importance of high-resolution matching of HLA-A, HLA-B, HLA-C, and HLA-DRB1 for outcomes of hematopoietic stem cell transplantation, our results are highly relevant for strategic planning and resource allocation of donor centers and registries.