KIR in Allogeneic Hematopoietic Stem Cell Transplantation: Need for a Unified Paradigm for Donor Selection Article Swipe
Adèle Dhuyser
,
Alice Aarnink
,
Michaël Pérès
,
Jyothi Jayaraman
,
Neda Nemat‐Gorgani
,
Marie-Thérèse Rubio
,
John Trowsdale
,
James A. Traherne
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fimmu.2022.821533
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fimmu.2022.821533
Allogeneic hematopoietic stem cell transplantation (aHSCT) is a lifesaving therapy for hematological malignancies. For years, a fully matched HLA donor was a requisite for the procedure. However, new immunosuppressive strategies have enabled the recruitment of viable alternative donors, particularly haploidentical donors. Over 95% of patients have at least two potential haploidentical donors available to them. To identify the best haploidentical donor, the assessment of new immunogenetic criteria could help. To this end, the clinical benefit of KIR genotyping in aHSCT has been widely studied but remains contentious. This review aims to evaluate the importance of KIR-driven NK cell alloreactivity in the context of aHSCT and explain potential reasons for the discrepancies in the literature. Here, through a non-systematic review, we highlight how the studies in this field and their respective predictive models or scoring strategies could be conceptually opposed, explaining why the role of NK cells remains unclear in aHCST outcomes. We evaluate the limitations of each published prediction model and describe how every scoring strategy to date only partly delivers the requirements for optimally effective NK cells in aHSCT. Finally, we propose approaches toward finding the optimal use of KIR genotyping in aHSCT for a unified criterion for donor selection.
Related Topics
Concepts
Context (archaeology)
Hematopoietic stem cell transplantation
Transplantation
Human leukocyte antigen
Medicine
Immunology
Genotyping
Selection (genetic algorithm)
Stem cell
Hematopoietic stem cell
Haematopoiesis
Bioinformatics
Computer science
Biology
Machine learning
Internal medicine
Antigen
Genetics
Gene
Genotype
Paleontology
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3389/fimmu.2022.821533
- OA Status
- gold
- Cited By
- 20
- References
- 117
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4226407615
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4226407615Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fimmu.2022.821533Digital Object Identifier
- Title
-
KIR in Allogeneic Hematopoietic Stem Cell Transplantation: Need for a Unified Paradigm for Donor SelectionWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-02-15Full publication date if available
- Authors
-
Adèle Dhuyser, Alice Aarnink, Michaël Pérès, Jyothi Jayaraman, Neda Nemat‐Gorgani, Marie-Thérèse Rubio, John Trowsdale, James A. TraherneList of authors in order
- Landing page
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https://doi.org/10.3389/fimmu.2022.821533Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3389/fimmu.2022.821533Direct OA link when available
- Concepts
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Context (archaeology), Hematopoietic stem cell transplantation, Transplantation, Human leukocyte antigen, Medicine, Immunology, Genotyping, Selection (genetic algorithm), Stem cell, Hematopoietic stem cell, Haematopoiesis, Bioinformatics, Computer science, Biology, Machine learning, Internal medicine, Antigen, Genetics, Gene, Genotype, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
20Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 5, 2023: 3, 2022: 4Per-year citation counts (last 5 years)
- References (count)
-
117Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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