4.8 Article

Haplotype Motif-Based Models for KIR-Genotype Informed Selection of Hematopoietic Cell Donors Fail to Predict Outcome of Patients With Myelodysplastic Syndromes or Secondary Acute Myeloid Leukemia

Journal

FRONTIERS IN IMMUNOLOGY
Volume 11, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2020.584520

Keywords

KIR; KIR2DS1; KIR3DL1; hematopoietic stem cell transplantation; donor selection; unrelated donor

Categories

Funding

  1. DKMS gGmbH
  2. Public Health Service from the National Cancer Institute (NCI) [U24CA076518]
  3. National Heart, Lung and Blood Institute (NHLBI) [U24HL138660, OT3HL147741, R21HL140314, U01HL128568]
  4. National Institute of Allergy and Infectious Diseases (NIAID)
  5. NCI [U24HL138660]
  6. Health Resources and Services Administration (HRSA) [HHSH250201700006C, SC1MC31881-01-00, HHSH250201700007C]
  7. Office of Naval Research [N00014-18-1-2850, N00014-18-1-2888, N00014-20-1-2705]
  8. BARDA
  9. Be the Match Foundation
  10. Boston Children's Hospital
  11. Dana Farber
  12. Japan Hematopoietic Cell Transplantation Data Center
  13. St. Baldrick's Foundation
  14. National Marrow Donor Program
  15. Medical College of Wisconsin
  16. AbbVie
  17. Actinium Pharmaceuticals, Inc.
  18. Adaptive Biotechnologies
  19. Adienne SA
  20. Allovir, Inc.
  21. Amgen, Inc.
  22. Anthem, Inc.
  23. Astellas Pharma US
  24. AstraZeneca
  25. Atara Biotherapeutics, Inc.
  26. bluebird bio, Inc.
  27. Bristol Myers Squibb Co.
  28. Celgene Corp.
  29. Chimerix, Inc.
  30. CSL Behring
  31. CytoSen Therapeutics, Inc.
  32. Daiichi Sankyo Co., Ltd.
  33. Gamida-Cell, Ltd.
  34. Genzyme
  35. GlaxoSmithKline (GSK)
  36. HistoGenetics, Inc.
  37. Incyte Corporation
  38. Janssen Biotech, Inc.
  39. Janssen Pharmaceuticals, Inc.
  40. Janssen/Johnson Johnson
  41. Jazz Pharmaceuticals, Inc.
  42. Kiadis Pharma
  43. Kite Pharma
  44. Kyowa Kirin
  45. Legend Biotech
  46. Magenta Therapeutics
  47. Mallinckrodt LLC
  48. Medac GmbH
  49. Merck Company, Inc.
  50. Merck Sharp Dohme Corp.
  51. Mesoblast
  52. Millennium
  53. Takeda Oncology Co.
  54. Miltenyi Biotec, Inc.
  55. Novartis Oncology
  56. Novartis Pharmaceuticals Corporation
  57. Omeros Corporation
  58. Oncoimmune, Inc.
  59. Orca Biosystems, Inc.
  60. Pfizer, Inc.
  61. Phamacyclics, LLC
  62. Regeneron Pharmaceuticals, Inc.
  63. REGiMMUNE Corp.
  64. Sanofi Genzyme
  65. Seattle Genetics
  66. Sobi, Inc.
  67. Takeda Oncology
  68. Takeda Pharma
  69. Terumo BCT
  70. Viracor Eurofins
  71. Xenikos BV
  72. [P01CA111412]
  73. [R01CA152108]
  74. [R01CA215134]
  75. [R01CA218285]
  76. [R01CA231141]
  77. [R01HL126589]
  78. [R01AI128775]
  79. [R01HL129472]
  80. [R01HL130388]
  81. [R01HL131731]
  82. [U01AI069197]
  83. [U01AI126612]

Ask authors/readers for more resources

This study aimed to validate models using KIR genes for donor selection in MDS or sAML patients to reduce the risk of relapse after HCT, but the results show that current models cannot consistently predict overall survival and relapse rates. Further research integrating cutting edge knowledge on KIR genetics and NK-cell biology is warranted for future studies.
Results from registry studies suggest that harnessing Natural Killer (NK) cell reactivity mediated through Killer cell Immunoglobulin-like Receptors (KIR) could reduce the risk of relapse after allogeneic Hematopoietic Cell Transplantation (HCT). Several competing models have been developed to classify donors as KIR-advantageous or disadvantageous. Basically, these models differ by grouping donors based on distinct KIR-KIR-ligand combinations or by haplotype motif assignment. This study aimed to validate different models for unrelated donor selection for patients with Myelodysplatic Syndromes (MDS) or secondary Acute Myeloid Leukemia (sAML). In a joint retrospective study of the European Society for Blood and Marrow Transplantation (EBMT) and the Center for International Blood and Marrow Transplant Research (CIBMTR) registry data from 1704 patients with secondary AML or MDS were analysed. The cohort consisted mainly of older patients (median age 61 years) with high risk disease who had received chemotherapy-based reduced intensity conditioning and anti-thymocyte globulin prior to allogeneic HCT from well-matched unrelated stem cell donors. The impact of the predictors on Overall Survival (OS) and relapse incidence was tested in Cox regression models adjusted for patient age, a modified disease risk index, performance status, donor age, HLA-match, sex-match, CMV-match, conditioning intensity, type of T-cell depletion and graft type. KIR genes were typed using high-resolution amplicon-based next generation sequencing. In univariable and multivariable analyses none of the models predicted OS and the risk of relapse consistently. Our results do not support the hypothesis that optimizing NK-mediated alloreactivity is possible by KIR-genotype informed selection of HLA-matched unrelated donors. However, in the context of allogeneic transplantation, NK-cell biology is complex and only partly understood. KIR-genes are highly diverse and current assignment of haplotype motifs based on the presence or absence of selected KIR genes is over-simplistic. As a consequence, further research is highly warranted and should integrate cutting edge knowledge on KIR genetics, and NK-cell biology into future studies focused on homogeneous groups of patients and treatment modalities.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available