Improving cord blood typing with next-generation sequencing: impact of allele-level HLA and NIMA determination on their selection for transplantation

Allele-level HLA compatibility in cord blood transplantation, together with noninherited maternal antigen or NIMA matching, have been associated with better transplant outcomes. The aim of this work is to develop a cost-efficient high-resolution HLA typing strategy based on next-generation sequencin...

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Veröffentlicht in:Bone marrow transplantation (Basingstoke) 2020-08, Vol.55 (8), p.1623-1631
Hauptverfasser: Enrich, Emma, Vidal, Francisco, Corrales, Irene, Campos, Eva, Borràs, Nina, Martorell, Lluís, Sánchez, Mar, Querol, Sergi, Rudilla, Francesc
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Sprache:eng
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Zusammenfassung:Allele-level HLA compatibility in cord blood transplantation, together with noninherited maternal antigen or NIMA matching, have been associated with better transplant outcomes. The aim of this work is to develop a cost-efficient high-resolution HLA typing strategy based on next-generation sequencing to improve the quality of the Barcelona Cord Blood Bank’s inventory, and to investigate the impact of high-resolution HLA typing and NIMA determination on the preferential selection of cord blood for transplantation. In this line, the developed strategy was validated and the HLA-A , -B , -C , -DRB1 , and -DQB1 genes of 5000 cord blood units and 2500 of their associated maternal samples were typed. Subsequently, three study groups of 2012 units each were monitored for up to 2 years: (1) units with high-resolution and maternal HLA typing, (2) units with high-resolution but not maternal typing, and (3) units typed at low-resolution for class I and only high-resolution for HLA-DRB1 . Despite a trend toward a greater selection of units with high-resolution typing, no significant impact of these variables was observed. These results highlight the need for evidence-based and globally accepted criteria for cord blood selection, together with the necessity to improve the accessibility of clinicians to donor registry’s data.
ISSN:0268-3369
1476-5365
DOI:10.1038/s41409-020-0890-9