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KIR B haplotype donors confer a reduced risk for relapse after haploidentical transplantation in children with ALL.

Abstract
We analyzed the influence of donor killer-cell immunoglobulin-like receptor (KIR) gene haplotypes on the risk for relapse and the probability of event-free survival (EFS) in children with acute lymphoblastic leukemia who received human leukocyte antigen-haploidentical transplantation of ex vivo T-cell-depleted peripheral blood stem cells. The KIR gene haplotype was evaluated in 85 donors, and the KIR B content score was determined in the 63 KIR haplotype B donors. Patients transplanted from a KIR haplotype B donor had a significantly better EFS than those transplanted from a KIR haplotype A donor (50.6% vs 29.5%, respectively; P = .033). Moreover, a high donor KIR B-content score was associated with a significantly reduced risk for relapse (Log-rank test for trend, P = .026). These data indicate that KIR genotyping should be included in the donor selection algorithm for haploidentical transplantation in children with acute lymphoblastic leukemia with the aim of choosing, whenever possible, a KIR haplotype B donor with a high KIR B-content score.
AuthorsLena Oevermann, Sebastian U Michaelis, Markus Mezger, Peter Lang, Jacek Toporski, Alice Bertaina, Marco Zecca, Lorenzo Moretta, Franco Locatelli, Rupert Handgretinger
JournalBlood (Blood) Vol. 124 Issue 17 Pg. 2744-7 (Oct 23 2014) ISSN: 1528-0020 [Electronic] United States
PMID25115891 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Copyright© 2014 by The American Society of Hematology.
Chemical References
  • Receptors, KIR
Topics
  • Adolescent
  • Blood Donors
  • Child
  • Child, Preschool
  • Donor Selection
  • Female
  • Genotype
  • Haplotypes
  • Hematopoietic Stem Cell Transplantation (methods)
  • Humans
  • Kaplan-Meier Estimate
  • Male
  • Multivariate Analysis
  • Neoplasm Recurrence, Local
  • Outcome Assessment, Health Care (statistics & numerical data)
  • Precursor Cell Lymphoblastic Leukemia-Lymphoma (therapy)
  • Proportional Hazards Models
  • Receptors, KIR (classification, genetics)
  • Risk Factors

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