External validation of models for KIR2DS1/KIR3DL1-informed selection of hematopoietic cell donors fails
Several studies suggest that harnessing natural killer (NK) cell reactivity mediated through killer cell immunoglobulin-like receptors (KIRs) could reduce the risk of relapse after allogeneic hematopoietic cell transplantation. Based on one promising model, information on KIR2DS1 and KIR3DL1 and the...
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Published in | Blood Vol. 135; no. 16; pp. 1386 - 1395 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Elsevier Inc
16.04.2020
American Society of Hematology |
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Abstract | Several studies suggest that harnessing natural killer (NK) cell reactivity mediated through killer cell immunoglobulin-like receptors (KIRs) could reduce the risk of relapse after allogeneic hematopoietic cell transplantation. Based on one promising model, information on KIR2DS1 and KIR3DL1 and their cognate ligands can be used to classify donors as KIR-advantageous or KIR-disadvantageous. This study was aimed at externally validating this model in unrelated donor hematopoietic cell transplantation. The impact of the predictor on overall survival (OS) and relapse incidence was tested in a Cox regression model adjusted for patient age, a modified disease risk index, Karnofsky performance status, donor age, HLA match, sex match, cytomegalovirus match, conditioning intensity, type of T-cell depletion, and graft type. Data from 2222 patients with acute myeloid leukemia or myelodysplastic syndrome were analyzed. KIR genes were typed by using high-resolution amplicon-based next-generation sequencing. In univariable analyses and subgroup analyses, OS and the cumulative incidence of relapse of patients with a KIR-advantageous donor were comparable to patients with a KIR-disadvantageous donor. The adjusted hazard ratio from the multivariable Cox regression model was 0.99 (Wald test, P = .93) for OS and 1.04 (Wald test, P = .78) for relapse incidence. We also tested the impact of activating donor KIR2DS1 and inhibition by KIR3DL1 separately but found no significant impact on OS and the risk of relapse. Thus, our study shows that the proposed model does not universally predict NK-mediated disease control. Deeper knowledge of NK-mediated alloreactivity is necessary to predict its contribution to graft-versus-leukemia reactions and to eventually use KIR genotype information for donor selection.
•KIR2DS1/KIR3DL1 genotype-informed selection of unrelated stem cell donors is not ready for routine use.•Deeper knowledge of NK-mediated alloreactivity is necessary to predict and optimize its contribution to graft-versus-leukemia reactions.
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AbstractList | KIR2DS1/KIR3DL1
genotype-informed selection of unrelated stem cell donors is not ready for routine use.
Deeper knowledge of NK-mediated alloreactivity is necessary to predict and optimize its contribution to graft-versus-leukemia reactions.
Several studies suggest that harnessing natural killer (NK) cell reactivity mediated through killer cell immunoglobulin-like receptors (KIRs) could reduce the risk of relapse after allogeneic hematopoietic cell transplantation. Based on one promising model, information on
KIR2DS1
and
KIR3DL1
and their cognate ligands can be used to classify donors as KIR-advantageous or KIR-disadvantageous. This study was aimed at externally validating this model in unrelated donor hematopoietic cell transplantation. The impact of the predictor on overall survival (OS) and relapse incidence was tested in a Cox regression model adjusted for patient age, a modified disease risk index, Karnofsky performance status, donor age, HLA match, sex match, cytomegalovirus match, conditioning intensity, type of T-cell depletion, and graft type. Data from 2222 patients with acute myeloid leukemia or myelodysplastic syndrome were analyzed.
KIR
genes were typed by using high-resolution amplicon-based next-generation sequencing. In univariable analyses and subgroup analyses, OS and the cumulative incidence of relapse of patients with a KIR-advantageous donor were comparable to patients with a KIR-disadvantageous donor. The adjusted hazard ratio from the multivariable Cox regression model was 0.99 (Wald test,
P
= .93) for OS and 1.04 (Wald test,
P
= .78) for relapse incidence. We also tested the impact of activating donor KIR2DS1 and inhibition by KIR3DL1 separately but found no significant impact on OS and the risk of relapse. Thus, our study shows that the proposed model does not universally predict NK-mediated disease control. Deeper knowledge of NK-mediated alloreactivity is necessary to predict its contribution to graft-versus-leukemia reactions and to eventually use KIR genotype information for donor selection. Several studies suggest that harnessing natural killer (NK) cell reactivity mediated through killer cell immunoglobulin-like receptors (KIRs) could reduce the risk of relapse after allogeneic hematopoietic cell transplantation. Based on one promising model, information on KIR2DS1 and KIR3DL1 and their cognate ligands can be used to classify donors as KIR-advantageous or KIR-disadvantageous. This study was aimed at externally validating this model in unrelated donor hematopoietic cell transplantation. The impact of the predictor on overall survival (OS) and relapse incidence was tested in a Cox regression model adjusted for patient age, a modified disease risk index, Karnofsky performance status, donor age, HLA match, sex match, cytomegalovirus match, conditioning intensity, type of T-cell depletion, and graft type. Data from 2222 patients with acute myeloid leukemia or myelodysplastic syndrome were analyzed. KIR genes were typed by using high-resolution amplicon-based next-generation sequencing. In univariable analyses and subgroup analyses, OS and the cumulative incidence of relapse of patients with a KIR-advantageous donor were comparable to patients with a KIR-disadvantageous donor. The adjusted hazard ratio from the multivariable Cox regression model was 0.99 (Wald test, P = .93) for OS and 1.04 (Wald test, P = .78) for relapse incidence. We also tested the impact of activating donor KIR2DS1 and inhibition by KIR3DL1 separately but found no significant impact on OS and the risk of relapse. Thus, our study shows that the proposed model does not universally predict NK-mediated disease control. Deeper knowledge of NK-mediated alloreactivity is necessary to predict its contribution to graft-versus-leukemia reactions and to eventually use KIR genotype information for donor selection. Several studies suggest that harnessing natural killer (NK) cell reactivity mediated through killer cell immunoglobulin-like receptors (KIRs) could reduce the risk of relapse after allogeneic hematopoietic cell transplantation. Based on one promising model, information on KIR2DS1 and KIR3DL1 and their cognate ligands can be used to classify donors as KIR-advantageous or KIR-disadvantageous. This study was aimed at externally validating this model in unrelated donor hematopoietic cell transplantation. The impact of the predictor on overall survival (OS) and relapse incidence was tested in a Cox regression model adjusted for patient age, a modified disease risk index, Karnofsky performance status, donor age, HLA match, sex match, cytomegalovirus match, conditioning intensity, type of T-cell depletion, and graft type. Data from 2222 patients with acute myeloid leukemia or myelodysplastic syndrome were analyzed. KIR genes were typed by using high-resolution amplicon-based next-generation sequencing. In univariable analyses and subgroup analyses, OS and the cumulative incidence of relapse of patients with a KIR-advantageous donor were comparable to patients with a KIR-disadvantageous donor. The adjusted hazard ratio from the multivariable Cox regression model was 0.99 (Wald test, P = .93) for OS and 1.04 (Wald test, P = .78) for relapse incidence. We also tested the impact of activating donor KIR2DS1 and inhibition by KIR3DL1 separately but found no significant impact on OS and the risk of relapse. Thus, our study shows that the proposed model does not universally predict NK-mediated disease control. Deeper knowledge of NK-mediated alloreactivity is necessary to predict its contribution to graft-versus-leukemia reactions and to eventually use KIR genotype information for donor selection. •KIR2DS1/KIR3DL1 genotype-informed selection of unrelated stem cell donors is not ready for routine use.•Deeper knowledge of NK-mediated alloreactivity is necessary to predict and optimize its contribution to graft-versus-leukemia reactions. [Display omitted] |
Author | Massalski, Carolin Ayuk, Francis Ayuketang Lange, Vinzenz Bug, Gesine Mytilineos, Joannis Bornhäuser, Martin Wendler, Sarah Ottinger, Hellmut D. Schetelig, Johannes Klein, Stefan Fürst, Daniel Baldauf, Henning de Wreede, Liesbeth C. Sauter, Jürgen Schmidt, Alexander H. Kobbe, Guido Bethge, Wolfgang A. Heidenreich, Falk Frank, Sandra Beelen, Dietrich W. Stelljes, Matthias Fleischhauer, Katharina |
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Snippet | Several studies suggest that harnessing natural killer (NK) cell reactivity mediated through killer cell immunoglobulin-like receptors (KIRs) could reduce the... KIR2DS1/KIR3DL1 genotype-informed selection of unrelated stem cell donors is not ready for routine use. Deeper knowledge of NK-mediated alloreactivity is... |
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SubjectTerms | Adult Aged Donor Selection Female Genotype Graft vs Host Disease - etiology Graft vs Host Disease - genetics Hematopoietic Stem Cell Transplantation - adverse effects Humans Immunobiology and Immunotherapy Leukemia, Myeloid, Acute - genetics Leukemia, Myeloid, Acute - therapy Male Middle Aged Myelodysplastic Syndromes - genetics Myelodysplastic Syndromes - therapy Proportional Hazards Models Receptors, KIR - genetics Receptors, KIR3DL1 - genetics Retrospective Studies Transplantation, Homologous - adverse effects Unrelated Donors Young Adult |
Title | External validation of models for KIR2DS1/KIR3DL1-informed selection of hematopoietic cell donors fails |
URI | https://dx.doi.org/10.1182/blood.2019002887 https://www.ncbi.nlm.nih.gov/pubmed/31932846 https://search.proquest.com/docview/2338081975 https://pubmed.ncbi.nlm.nih.gov/PMC7162689 |
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