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Legrand N, Salameh P, Jullien M, Chevallier P, Ferron E, David G, Devilder MC, Willem C, Gendzekhadze K, Parham P, Retière C, Gagne K. Non-Expressed Donor KIR3DL1 Alleles May Represent a Risk Factor for Relapse after T-Replete Haploidentical Hematopoietic Stem Cell Transplantation. Cancers (Basel) 2023; 15:2754. [PMID: 37345091 DOI: 10.3390/cancers15102754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/03/2023] [Accepted: 05/09/2023] [Indexed: 06/23/2023] Open
Abstract
KIR3DL1 alleles are expressed at different levels on the natural killer (NK) cell surface. In particular, the non-expressed KIR3DL1*004 allele appears to be common in Caucasian populations. However, the overall distribution of non-expressed KIR3DL1 alleles and their clinical relevance after T-replete haploidentical hematopoietic stem cell transplantation (hHSCT) with post-transplant cyclophosphamide remain poorly documented in European populations. In a cohort of French blood donors (N = 278), we compared the distribution of expressed and non-expressed KIR3DL1 alleles using next-generation sequencing (NGS) technology combined with multi-color flow cytometry. We confirmed the predominance of the non-expressed KIR3DL1*004 allele. Using allele-specific constructs, the phenotype and function of the uncommon KIR3DL1*019 allotype were characterized using the Jurkat T cell line and NKL transfectants. Although poorly expressed on the NK cell surface, KIR3DL1*019 is retained within NK cells, where it induces missing self-recognition of the Bw4 epitope. Transposing our in vitro observations to a cohort of hHSCT patients (N = 186) led us to observe that non-expressed KIR3DL1 HSC grafts increased the incidence of relapse in patients with myeloid diseases. Non-expressed KIR3DL1 alleles could, therefore, influence the outcome of hHSCT.
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Affiliation(s)
- Nolwenn Legrand
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Perla Salameh
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Maxime Jullien
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
- Department of Hematology Clinic, Nantes University Hospital, F-44000 Nantes, France
| | - Patrice Chevallier
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
- Department of Hematology Clinic, Nantes University Hospital, F-44000 Nantes, France
| | - Enora Ferron
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Gaelle David
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Marie-Claire Devilder
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Catherine Willem
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Ketevan Gendzekhadze
- Department of Hematology and HCT, HLA Laboratory, City of Hope, Medical Center, Duarte, CA 91010, USA
| | - Peter Parham
- Department of Structural Biology and Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Christelle Retière
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Katia Gagne
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
- LabEx Transplantex, Université de Strasbourg, F-67000 Strasbourg, France
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Harrison GF, Leaton LA, Harrison EA, Kichula KM, Viken MK, Shortt J, Gignoux CR, Lie BA, Vukcevic D, Leslie S, Norman PJ. Allele imputation for the killer cell immunoglobulin-like receptor KIR3DL1/S1. PLoS Comput Biol 2022; 18:e1009059. [PMID: 35192601 PMCID: PMC8896733 DOI: 10.1371/journal.pcbi.1009059] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 03/04/2022] [Accepted: 01/10/2022] [Indexed: 12/15/2022] Open
Abstract
Highly polymorphic interaction of KIR3DL1 and KIR3DS1 with HLA class I ligands modulates the effector functions of natural killer (NK) cells and some T cells. This genetically determined diversity affects severity of infections, immune-mediated diseases, and some cancers, and impacts the course of immunotherapies, including transplantation. KIR3DL1 is an inhibitory receptor, and KIR3DS1 is an activating receptor encoded by the KIR3DL1/S1 gene that has more than 200 diverse and divergent alleles. Determination of KIR3DL1/S1 genotypes for medical application is hampered by complex sequence and structural variation, requiring targeted approaches to generate and analyze high-resolution allele data. To overcome these obstacles, we developed and optimized a model for imputing KIR3DL1/S1 alleles at high-resolution from whole-genome SNP data. We designed the model to represent a substantial component of human genetic diversity. Our Global imputation model is effective at genotyping KIR3DL1/S1 alleles with an accuracy ranging from 88% in Africans to 97% in East Asians, with mean specificity of 99% and sensitivity of 95% for alleles >1% frequency. We used the established algorithm of the HIBAG program, in a modification named Pulling Out Natural killer cell Genomics (PONG). Because HIBAG was designed to impute HLA alleles also from whole-genome SNP data, PONG allows combinatorial diversity of KIR3DL1/S1 with HLA-A and -B to be analyzed using complementary techniques on a single data source. The use of PONG thus negates the need for targeted sequencing data in very large-scale association studies where such methods might not be tractable.
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Affiliation(s)
- Genelle F. Harrison
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
- Department of Immunology and Microbiology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Laura Ann Leaton
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
- Department of Immunology and Microbiology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Erica A. Harrison
- Independent Researcher, Broomfield, Colorado, United States of America
| | - Katherine M. Kichula
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
- Department of Immunology and Microbiology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Marte K. Viken
- Department of Immunology, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Jonathan Shortt
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Christopher R. Gignoux
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Benedicte A. Lie
- Department of Immunology, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Damjan Vukcevic
- School of Mathematics and Statistics, University of Melbourne, Parkville, Victoria, Australia
- Melbourne Integrative Genomics, University of Melbourne, Parkville, Victoria, Australia
| | - Stephen Leslie
- School of Mathematics and Statistics, University of Melbourne, Parkville, Victoria, Australia
- Melbourne Integrative Genomics, University of Melbourne, Parkville, Victoria, Australia
- School of BioSciences, University of Melbourne, Parkville, Victoria, Australia
| | - Paul J. Norman
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
- Department of Immunology and Microbiology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
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Erken E, Senel ME, Dinkci S, Goruroglu Ozturk O, Altunoren O, Gungor O, Erken E. Killer cell immunoglobulin-like receptor (KIR) gene distribution and allograft kidney function. Int J Clin Pract 2021; 75:e14790. [PMID: 34480825 DOI: 10.1111/ijcp.14790] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 08/27/2021] [Accepted: 09/02/2021] [Indexed: 01/06/2023] Open
Affiliation(s)
- Ertugrul Erken
- Department of Nephrology, Sutcu Imam University, Kahramanmaras, Turkey
| | - Mahmut Egemen Senel
- Department of Internal Medicine, Sutcu Imam University, Kahramanmaras, Turkey
| | - Suzan Dinkci
- Department of Rheumatology/Immunology, Cukurova University, Adana, Turkey
| | - Ozlem Goruroglu Ozturk
- Faculty of Medicine, Balcali Hospital, Central Laboratory, Cukurova University, Adana, Turkey
| | - Orcun Altunoren
- Department of Nephrology, Sutcu Imam University, Kahramanmaras, Turkey
| | - Ozkan Gungor
- Department of Nephrology, Sutcu Imam University, Kahramanmaras, Turkey
| | - Eren Erken
- Department of Rheumatology/Immunology, Cukurova University, Adana, Turkey
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Elbaşı MO, Tulunay A, Karagözoğlu H, Kahraman S, Ekşioğlu-Demiralp E. Maternal killer-cell immunoglobulin-like receptors and paternal human leukocyte antigen ligands in recurrent pregnancy loss cases in Turkey. Clin Exp Reprod Med 2020; 47:122-129. [PMID: 32450627 PMCID: PMC7315865 DOI: 10.5653/cerm.2019.03223] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 01/02/2020] [Indexed: 11/10/2022] Open
Abstract
Objective The survival of a semi-allogeneic fetus depends on several immunological mechanisms, and it has been suggested that recurrent pregnancy loss (RPL) could develop as a result of one or more immunological abnormalities. Methods Compatibility between partners for human leukocyte antigen (HLA) genotypes and the relationships between maternal killer-cell immunoglobulin-like receptor (KIR) and paternal HLA-Bw4/Bw6 and HLA-C1/C2 supra-groups were investigated in 25 couples with RPL in comparison to healthy couples with children. HLA and KIR genotyping was performed using polymerase chain reaction with sequence-specific primers and/or sequence-specific oligonucleotides. Results HLA class I incompatibility between partners, especially in HLA-B alleles, was more common in the RPL group (p= 0.01). HLA-C2 homozygosity was more frequent in the male partners of RPL couples than in other groups (p= 0.03). The KIR2DL5 gene frequency was significantly higher in both the female and male partners of RPL couples, whereas the KIR2DS3 gene frequency in male partners of RPL couples was significantly reduced (p= 0.03). The presence of KIR2DL3 in women with RPL was correlated with the presence of HLA-C2 alleles in their spouses (p= 0.03). Conclusion Our data from a Turkish population suggest that male HLA-C2 homozygosity may play an important role in RPL. Additionally, an incidental match between male HLA-C2 and female HLA-C1 ligand KIR receptors might perturb the balance between activatory and inhibitory KIR-ligand interactions during pregnancy in couples affected by RPL. The roles of orphan KIR2DL5 and orphan KIR2DS3 in RPL remain obscure.
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Affiliation(s)
- Mehmet Onur Elbaşı
- Tissue Typing and Immunology Laboratory, Istanbul Memorial Hospital, Istanbul, Turkey
| | - Aysın Tulunay
- Department of Immunology, Marmara University, School of Medicine, Istanbul, Turkey
| | - Hale Karagözoğlu
- Karagözoğlu Clinic for Obstetrics and Gynecology and IVF, Istanbul, Turkey
| | - Semra Kahraman
- In Vitro Fertilization Unit, Istanbul Memorial Hospital, Istanbul, Turkey
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