Biology of Blood and Marrow Transplantation · 2013 · 53 citations · 26 references
MedicineHematologyImmunologyImmunogeneticsStem Cell TransplantationTransplant ImmunologyDonor-recipient CompatibilityHematopoietic Stem Cell TransplantationHistocompatibilityHla MatchingHla TypingTransplant OutcomesDonor-recipient Compatibility AssessmentDonor-recipient Genetic CompatibilityHigh-resolution Hla MatchingHigh-resolution Hla TypingHla Allele MatchingHla Antigen MatchingHla Donor-recipient MatchingHla-dr Matching
This retrospective study analyzed the impact of directional donor-recipient human leukocyte antigen (HLA) disparity using allele-level typing at HLA-A, -B, -C, and -DRB1 in 79 adults with acute myeloid leukemia (AML) who received single-unit umbilical cord blood (UCB) transplant at a single institution. With extended high-resolution HLA typing, the donor-recipient compatibility ranged from 2/8 to 8/8. HLA disparity showed no negative impact on nonrelapse mortality (NRM), graft-versus-host (GVH) disease or engraftment. Considering disparities in the GVH direction, the 5-year cumulative incidence of relapse was 44% and 22% for patients receiving an UCB unit matched ≥ 6/8 and < 6/8, respectively (P = .04). In multivariable analysis, a higher HLA disparity in the GVH direction using extended high-resolution typing (Risk ratio [RR] 2.8; 95% confidence interval [CI], 1.5 to 5.1; P = .0009) and first complete remission at time of transplantation (RR 2.1; 95% CI, 1.2 to 3.8; P = .01) were the only variables significantly associated with an improved disease-free survival. In conclusion, we found that in adults with AML undergoing single-unit UCBT, an increased number of HLA disparities at allele-level typing improved disease-free survival by decreasing the relapse rate without a negative effect on NRM.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10