1
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Różańska-Wróbel J, Migalska M, Urbanowicz A, Grzybek M, Rego ROM, Bajer A, Dwuznik-Szarek D, Alsarraf M, Behnke-Borowczyk J, Behnke JM, Radwan J. Interplay between vertebrate adaptive immunity and bacterial infectivity genes: Bank vole MHC versus Borrelia afzelii OspC. Mol Ecol 2024; 33:e17534. [PMID: 39314079 DOI: 10.1111/mec.17534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 08/12/2024] [Accepted: 09/09/2024] [Indexed: 09/25/2024]
Abstract
Coevolution of parasites with their hosts may lead to balancing selection on genes involved in determining the specificity of host-parasite interactions, but examples of such specific interactions in wild vertebrates are scarce. Here, we investigated whether the polymorphic outer surface protein C (OspC), used by the Lyme disease agent, Borrelia afzelii, to manipulate vertebrate host innate immunity, interacts with polymorphic major histocompatibility genes (MHC), while concurrently eliciting a strong antibody response, in one of its main hosts in Europe, the bank vole. We found signals of balancing selection acting on OspC, resulting in little differentiation in OspC variant frequencies between years. Neither MHC alleles nor their inferred functional groupings (supertypes) significantly predicted the specificity of infection with strains carrying different OspC variants. However, we found that MHC alleles, but not supertypes, significantly predicted the level of IgG antibodies against two common OspC variants among seropositive individuals. Our results thus indicate that MHC alleles differ in their ability to induce antibody responses against specific OspC variants, which may contribute to selection of OspC polymorphism by the vole immune system.
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Affiliation(s)
- Joanna Różańska-Wróbel
- Evolutionary Biology Group, Institute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University, Poznań, Poland
| | - Magdalena Migalska
- Institute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland
| | - Anna Urbanowicz
- Laboratory of Protein Engineering, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznań, Poland
| | - Maciej Grzybek
- Department of Tropical Parasitology, Institute of Maritime and Tropical Medicine, Medical University of Gdańsk, Gdynia, Poland
| | - Ryan O M Rego
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
- Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
| | - Anna Bajer
- Department of Eco-Epidemiology of Parasitic Diseases, Institute of Developmental Biology and Biomedical Sciences, Faculty of Biology, University of Warsaw, Warsaw, Poland
| | - Dorota Dwuznik-Szarek
- Department of Eco-Epidemiology of Parasitic Diseases, Institute of Developmental Biology and Biomedical Sciences, Faculty of Biology, University of Warsaw, Warsaw, Poland
| | - Mohammed Alsarraf
- Department of Eco-Epidemiology of Parasitic Diseases, Institute of Developmental Biology and Biomedical Sciences, Faculty of Biology, University of Warsaw, Warsaw, Poland
| | - Jolanta Behnke-Borowczyk
- Department of Forest Phytopathology, Faculty of Forestry, Poznań University of Life Sciences, Poznań, Poland
| | - Jerzy M Behnke
- School of Life Sciences, University of Nottingham, University Park, Nottingham, UK
| | - Jacek Radwan
- Evolutionary Biology Group, Institute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University, Poznań, Poland
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2
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Loh L, Saunders PM, Faoro C, Font-Porterias N, Nemat-Gorgani N, Harrison GF, Sadeeq S, Hensen L, Wong SC, Widjaja J, Clemens EB, Zhu S, Kichula KM, Tao S, Zhu F, Montero-Martin G, Fernandez-Vina M, Guethlein LA, Vivian JP, Davies J, Mentzer AJ, Oppenheimer SJ, Pomat W, Ioannidis AG, Barberena-Jonas C, Moreno-Estrada A, Miller A, Parham P, Rossjohn J, Tong SYC, Kedzierska K, Brooks AG, Norman PJ. An archaic HLA class I receptor allele diversifies natural killer cell-driven immunity in First Nations peoples of Oceania. Cell 2024:S0092-8674(24)01153-X. [PMID: 39476840 DOI: 10.1016/j.cell.2024.10.005] [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: 06/19/2023] [Revised: 05/24/2024] [Accepted: 10/03/2024] [Indexed: 11/02/2024]
Abstract
Genetic variation in host immunity impacts the disproportionate burden of infectious diseases that can be experienced by First Nations peoples. Polymorphic human leukocyte antigen (HLA) class I and killer cell immunoglobulin-like receptors (KIRs) are key regulators of natural killer (NK) cells, which mediate early infection control. How this variation impacts their responses across populations is unclear. We show that HLA-A∗24:02 became the dominant ligand for inhibitory KIR3DL1 in First Nations peoples across Oceania, through positive natural selection. We identify KIR3DL1∗114, widespread across and unique to Oceania, as an allele lineage derived from archaic humans. KIR3DL1∗114+NK cells from First Nations Australian donors are inhibited through binding HLA-A∗24:02. The KIR3DL1∗114 lineage is defined by phenylalanine at residue 166. Structural and binding studies show phenylalanine 166 forms multiple unique contacts with HLA-peptide complexes, increasing both affinity and specificity. Accordingly, assessing immunogenetic variation and the functional implications for immunity are fundamental toward understanding population-based disease associations.
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Affiliation(s)
- Liyen Loh
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia; Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Philippa M Saunders
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Camilla Faoro
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Neus Font-Porterias
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Neda Nemat-Gorgani
- Department of Structural Biology and Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA
| | - Genelle F Harrison
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Suraju Sadeeq
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Luca Hensen
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Shu Cheng Wong
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Jacqueline Widjaja
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - E Bridie Clemens
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Shiying Zhu
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Katherine M Kichula
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Sudan Tao
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA; Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Faming Zhu
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Gonzalo Montero-Martin
- Stanford Blood Centre, Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Marcelo Fernandez-Vina
- Stanford Blood Centre, Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Lisbeth A Guethlein
- Department of Structural Biology and Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA
| | - Julian P Vivian
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Jane Davies
- Menzies School of Health Research, Charles Darwin University, Darwin, NT 0810, Australia; Department of Infectious Diseases, Royal Darwin Hospital, Casuarina, NT 0810, Australia
| | - Alexander J Mentzer
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK
| | - Stephen J Oppenheimer
- Institute of Social and Cultural Anthropology, School of Anthropology and Museum Ethnography, University of Oxford, Oxford OX3 7LF, UK
| | - William Pomat
- Papua New Guinea Institute of Medical Research, Post Office Box 60, Goroka, Papua New Guinea
| | | | - Carmina Barberena-Jonas
- Advanced Genomics Unit, Center for Research and Advanced Studies (CINVESTAV), Irapuato 36821, Mexico
| | - Andrés Moreno-Estrada
- Advanced Genomics Unit, Center for Research and Advanced Studies (CINVESTAV), Irapuato 36821, Mexico
| | - Adrian Miller
- Jawun Research Centre, Central Queensland University, Cairns, QLD 4870, Australia
| | - Peter Parham
- Department of Structural Biology and Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA
| | - Jamie Rossjohn
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Institute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff CF14 4XN, UK.
| | - Steven Y C Tong
- Victorian Infectious Diseases Service, The Royal Melbourne Hospital, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC 3000, Australia; Department of Infectious Diseases, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC 3000, Australia.
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia.
| | - Andrew G Brooks
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia.
| | - Paul J Norman
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO 80045, USA; Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA; Department of Structural Biology and Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA.
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3
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Canal D, Roved J, Lara A, Camacho C, Potti J, Santoro S. MHC Class II Supertypes Affect Survival and Lifetime Reproductive Success in a Migratory Songbird. Mol Ecol 2024:e17554. [PMID: 39445496 DOI: 10.1111/mec.17554] [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: 04/06/2022] [Accepted: 08/27/2024] [Indexed: 10/25/2024]
Abstract
The major histocompatibility complex (MHC) plays a critical role in the immune response against pathogens. Its high polymorphism is thought to be mainly the consequence of host-pathogen co-evolution, but elucidating the mechanism(s) driving MHC evolution remains challenging for natural populations. We investigated the diversity of MHC class II genes in a wild population of pied flycatchers Ficedula hypoleuca and tested its associations with two key components of individual fitness: lifetime reproductive success and survival. Among 180 breeding adults in our study population, we found 182 unique MHC class II exon 2 alleles. The alleles showed a strong signal of positive selection and grouped into nine functional supertypes based on physicochemical properties at the inferred antigen-binding sites. Three supertypes were found in > 98% of the sampled individuals, indicating that they are nearly fixed in the population. We found no rare supertypes in the population, as all supertypes were present in > 70% of individuals. Three supertypes were related to different components of individual fitness: two were associated with lower offspring production over time, while the third was positively associated with survival. Overall, the substantial allelic and functional diversity and the relationship between specific supertypes and fitness are in accordance with the notion that balancing selection maintains MHC class II diversity in the study population, possibly with fluctuating selection as the underlying mechanism. The absence of rare supertypes in the population suggests that the balancing selection is not driven by rare-allele advantage.
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Affiliation(s)
- David Canal
- Department of Evolutionary Ecology, National Museum of Natural Sciences (MNCN-CSIC), Madrid, Spain
| | - Jacob Roved
- Department of Biology, Lund University, Lund, Sweden
| | - Antonio Lara
- Department of Ecology and Evolution, Estación Biológica de Doñana (CSIC), Seville, Spain
| | - Carlos Camacho
- Department of Ecology and Evolution, Estación Biológica de Doñana (CSIC), Seville, Spain
| | - Jaime Potti
- Department of Ecology and Evolution, Estación Biológica de Doñana (CSIC), Seville, Spain
| | - Simone Santoro
- Departamento de Ciencias Integradas, Facultad de Ciencias Experimentales, Universidad de Huelva, Huelva, Spain
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4
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Wade KJ, Suseno R, Kizer K, Williams J, Boquett J, Caillier S, Pollock NR, Renschen A, Santaniello A, Oksenberg JR, Norman PJ, Augusto DG, Hollenbach JA. MHConstructor: a high-throughput, haplotype-informed solution to the MHC assembly challenge. Genome Biol 2024; 25:274. [PMID: 39420419 PMCID: PMC11484429 DOI: 10.1186/s13059-024-03412-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 09/30/2024] [Indexed: 10/19/2024] Open
Abstract
The extremely high levels of genetic polymorphism within the human major histocompatibility complex (MHC) limit the usefulness of reference-based alignment methods for sequence assembly. We incorporate a short-read, de novo assembly algorithm into a workflow for novel application to the MHC. MHConstructor is a containerized pipeline designed for high-throughput, haplotype-informed, reproducible assembly of both whole genome sequencing and target capture short-read data in large, population cohorts. To-date, no other self-contained tool exists for the generation of de novo MHC assemblies from short-read data. MHConstructor facilitates wide-spread access to high-quality, alignment-free MHC sequence analysis.
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Affiliation(s)
- Kristen J Wade
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Rayo Suseno
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Kerry Kizer
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Jacqueline Williams
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Juliano Boquett
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Stacy Caillier
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Nicholas R Pollock
- Department of Biomedical Informatics, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
- Department of Immunology and Microbiology, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Adam Renschen
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Adam Santaniello
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Jorge R Oksenberg
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Paul J Norman
- Department of Biomedical Informatics, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
- Department of Immunology and Microbiology, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Danillo G Augusto
- Department of Biological Sciences, University of North Carolina Charlotte, Charlotte, NC, USA
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Jill A Hollenbach
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA.
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
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5
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Gaczorek T, Dudek K, Fritz U, Bahri-Sfar L, Baird SJE, Bonhomme F, Dufresnes C, Gvoždík V, Irwin D, Kotlík P, Marková S, McGinnity P, Migalska M, Moravec J, Natola L, Pabijan M, Phillips KP, Schöneberg Y, Souissi A, Radwan J, Babik W. Widespread Adaptive Introgression of Major Histocompatibility Complex Genes across Vertebrate Hybrid Zones. Mol Biol Evol 2024; 41:msae201. [PMID: 39324637 PMCID: PMC11472244 DOI: 10.1093/molbev/msae201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 08/23/2024] [Accepted: 09/23/2024] [Indexed: 09/27/2024] Open
Abstract
Interspecific introgression is a potentially important source of novel variation of adaptive significance. Although multiple cases of adaptive introgression are well documented, broader generalizations about its targets and mechanisms are lacking. Multiallelic balancing selection, particularly when acting through rare allele advantage, is an evolutionary mechanism expected to favor adaptive introgression. This is because introgressed alleles are likely to confer an immediate selective advantage, facilitating their establishment in the recipient species even in the face of strong genomic barriers to introgression. Vertebrate major histocompatibility complex genes are well-established targets of long-term multiallelic balancing selection, so widespread adaptive major histocompatibility complex introgression is expected. Here, we evaluate this hypothesis using data from 29 hybrid zones formed by fish, amphibians, squamates, turtles, birds, and mammals at advanced stages of speciation. The key prediction of more extensive major histocompatibility complex introgression compared to genome-wide introgression was tested with three complementary statistical approaches. We found evidence for widespread adaptive introgression of major histocompatibility complex genes, providing a link between the process of adaptive introgression and an underlying mechanism. Our work identifies major histocompatibility complex introgression as a general mechanism by which species can acquire novel, and possibly regain previously lost, variation that may enhance defense against pathogens and increase adaptive potential.
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Affiliation(s)
- T Gaczorek
- Institute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland
| | - K Dudek
- Institute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland
| | - U Fritz
- Museum of Zoology (Museum für Tierkunde), Senckenberg Dresden, Dresden, Germany
| | - L Bahri-Sfar
- Biodiversité, Parasitologie et Ecologie des Ecosystèmes Aquatiques, Faculté des Sciences de Tunis, Univ de Tunis El Manar, Tunis, Tunisia
| | - S J E Baird
- Institute of Vertebrate Biology of the Czech Academy of Sciences, Brno, Czech Republic
| | - F Bonhomme
- Institut des Sciences de l'Evolution, Université de Montpellier, Montpellier, France
| | - C Dufresnes
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France
| | - V Gvoždík
- Institute of Vertebrate Biology of the Czech Academy of Sciences, Brno, Czech Republic
- Department of Zoology, National Museum of the Czech Republic, Prague, Czech Republic
| | - D Irwin
- Biodiversity Research Centre and Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada
| | - P Kotlík
- Laboratory of Molecular Ecology, Institute of Animal Physiology and Genetics of the Czech Academy of Sciences, Liběchov, Czech Republic
| | - S Marková
- Laboratory of Molecular Ecology, Institute of Animal Physiology and Genetics of the Czech Academy of Sciences, Liběchov, Czech Republic
| | - P McGinnity
- School of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland
| | - M Migalska
- Institute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland
| | - J Moravec
- Department of Zoology, National Museum of the Czech Republic, Prague, Czech Republic
| | - L Natola
- Biodiversity Research Centre and Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada
| | - M Pabijan
- Institute of Zoology and Biomedical Research, Faculty of Biology, Jagiellonian University, Kraków, Poland
| | - K P Phillips
- Laboratory of Molecular Ecology, Institute of Animal Physiology and Genetics of the Czech Academy of Sciences, Liběchov, Czech Republic
- Canadian Rivers Institute, University of New Brunswick, Fredericton, New Brunswick, Canada
| | - Y Schöneberg
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
- Institute for Ecology, Evolution and Diversity, Goethe University, Frankfurt am Main, Germany
| | - A Souissi
- Biodiversité, Parasitologie et Ecologie des Ecosystèmes Aquatiques, Faculté des Sciences de Tunis, Univ de Tunis El Manar, Tunis, Tunisia
- MARBEC, Univ Montpellier, 34000 Montpellier, France
| | - J Radwan
- Institute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University, Poznań, Poland
| | - W Babik
- Institute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland
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6
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Leclaire S, Bandekar M, Rowe M, Ritari J, Jokiniemi A, Partanen J, Allinen P, Kuusipalo L, Kekäläinen J. Female reproductive tract microbiota varies with MHC profile. Proc Biol Sci 2024; 291:20241334. [PMID: 39471862 PMCID: PMC11521592 DOI: 10.1098/rspb.2024.1334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 09/23/2024] [Accepted: 09/25/2024] [Indexed: 11/01/2024] Open
Abstract
Numerous studies have shown that a healthy reproductive tract microbiota is crucial for successful reproduction and that its composition is influenced by various environmental and host factors. However, it is not known whether the reproductive microbiota is also shaped by the major histocompatibility complex (MHC), a family of genes essential to differentiate 'self' from 'non-self' peptides to initiate an adaptive immune response. We tested the association between the follicular fluid microbiome and MHC genes in 27 women. Women with higher MHC diversity had a higher microbiome diversity, characterized by bacteria commonly associated with vaginal dysbiosis. Women with similar MHC genes were also similar in their microbiome composition, indicating that MHC composition may be a key factor in determining the bacterial assemblage in the reproductive tract. Finally, the composition of the follicular fluid microbiome was similar to the vaginal microbiome, suggesting that numerous bacteria of the vagina are true inhabitants of the follicular fluid or that vaginal microbiota contaminated the follicular fluid microbiota during transvaginal collection. Collectively, our results demonstrate the importance of host genetic factors in shaping women's reproductive microbiota and they open the door for further research on the role of microbiota in mediating MHC-related variation in reproductive success.
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Affiliation(s)
- Sarah Leclaire
- Centre de Recherche sur la Biodiversité et l’Environnement (CRBE), UMR5300, Université Toulouse, CNRS, IRD, Toulouse INP, 118 rte de Narbonne, Toulouse31062, France
| | - Mandar Bandekar
- Department of Environmental and Biological Sciences, University of Eastern Finland, PO Box 111, Joensuu80101, Finland
| | - Melissah Rowe
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen6700 AB, The Netherlands
| | - Jarmo Ritari
- Finnish Red Cross Blood Service, Research and Development, Haartmaninkatu 8, Helsinki00290, Finland
| | - Annalaura Jokiniemi
- Department of Environmental and Biological Sciences, University of Eastern Finland, PO Box 111, Joensuu80101, Finland
| | - Jukka Partanen
- Finnish Red Cross Blood Service, Research and Development, Haartmaninkatu 8, Helsinki00290, Finland
| | - Pia Allinen
- Ovumia Kuopio, Ajurinkatu 16, Kuopio70110, Finland
| | - Liisa Kuusipalo
- North Karelia Central Hospital, Tikkamäentie 16, Joensuu80210, Finland
| | - Jukka Kekäläinen
- Department of Environmental and Biological Sciences, University of Eastern Finland, PO Box 111, Joensuu80101, Finland
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7
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Solh M, Aubrey MT, Zhang X, Bashey A, Freed BM, Roark CL, Bachier-Rdriguez L, Morris LE, Kent Holland H, Solomon SR. HLA evolutionary divergence (HED) informs the effect of HLA-B mismatch on outcomes after haploidentical transplantation. Bone Marrow Transplant 2024; 59:1433-1439. [PMID: 39085372 DOI: 10.1038/s41409-024-02341-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 05/20/2024] [Accepted: 06/20/2024] [Indexed: 08/02/2024]
Abstract
Graft versus tumor relies on tumor-associated antigens (TAAs) that are presented to donor T cells via human leukocyte antigens (HLAs). The HLA evolutionary divergence (HED) between alleles of a single individual can dictate the ability to present TAAs. The impact of HED in haploidentical donor transplantation (HIDT) has not been studied. We studied the effect of HED on transplant outcomes following HIDT. We analyzed 322 consecutive recipient/donor pairs with a median follow-up of 57.2 months. Pairwise divergence of HLA class I and II showed that HLA-B, -DRB1, and -DQB1 contributing most to mean HED. The mean HED was class I 6.85 (HLA-A 7.08, -B 8.24, and -C 5.07), class II 8.58 (HLA-DRB1 10.97, -DQB1 10.06 and -DPB1 4.06). A high HED in class I mismatched recipient/donor haplotype (RD MM) was significant for worse DFS (HR 1.11, p = 0.020), and relapse (HR 1.11, p = 0.02). Also, a high HED in RD MM HLA-B haplotype had worse OS (HR 1.07, p = 0.02), DFS (HR 1.09, p = 0.002), higher relapse (HR 1.10, p = 0.003), and similar NRM to low HED. The multivariate analysis showed that high HED in RD MM HLA-B (≥7.8 vs <7.8) had worse DFS (HR 1.53, p = 0.01), higher relapse (HR 1.61, p = 0.024), and similar NRM and OS.
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Affiliation(s)
- Melhem Solh
- The Blood and Marrow Transplant Program at Northside Hospital, Atlanta, GA, USA.
| | - Michael T Aubrey
- University of Colorado Blood Bank and Clinimmune Laboratory, Aurora, CO, USA
| | - Xu Zhang
- School of Public Health, University of Texas, Houston, TX, USA
| | - Asad Bashey
- The Blood and Marrow Transplant Program at Northside Hospital, Atlanta, GA, USA
| | - Brian M Freed
- University of Colorado Blood Bank and Clinimmune Laboratory, Aurora, CO, USA
| | - Christina L Roark
- University of Colorado Blood Bank and Clinimmune Laboratory, Aurora, CO, USA
| | | | - Lawrence E Morris
- The Blood and Marrow Transplant Program at Northside Hospital, Atlanta, GA, USA
| | - H Kent Holland
- The Blood and Marrow Transplant Program at Northside Hospital, Atlanta, GA, USA
| | - Scott R Solomon
- The Blood and Marrow Transplant Program at Northside Hospital, Atlanta, GA, USA
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8
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Lyn Fortier A, Pritchard JK. The Primate Major Histocompatibility Complex: An Illustrative Example of Gene Family Evolution. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.16.613318. [PMID: 39345418 PMCID: PMC11429698 DOI: 10.1101/2024.09.16.613318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/01/2024]
Abstract
Gene families are groups of evolutionarily-related genes. One large gene family that has experienced rapid evolution is the Major Histocompatibility Complex (MHC), whose proteins serve critical roles in innate and adaptive immunity. Across the ~60 million year history of the primates, some MHC genes have turned over completely, some have changed function, some have converged in function, and others have remained essentially unchanged. Past work has typically focused on identifying MHC alleles within particular species or comparing gene content, but more work is needed to understand the overall evolution of the gene family across species. Thus, despite the immunologic importance of the MHC and its peculiar evolutionary history, we lack a complete picture of MHC evolution in the primates. We readdress this question using sequences from dozens of MHC genes and pseudogenes spanning the entire primate order, building a comprehensive set of gene and allele trees with modern methods. Overall, we find that the Class I gene subfamily is evolving much more quickly than the Class II gene subfamily, with the exception of the Class II MHC-DRB genes. We also pay special attention to the often-ignored pseudogenes, which we use to reconstruct different events in the evolution of the Class I region. We find that despite the shared function of the MHC across species, different species employ different genes, haplotypes, and patterns of variation to achieve a successful immune response. Our trees and extensive literature review represent the most comprehensive look into MHC evolution to date.
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Affiliation(s)
- Alyssa Lyn Fortier
- Department of Biology, Stanford University, Stanford, CA USA
- Department of Genetics, Stanford University, Stanford, CA USA
| | - Jonathan K. Pritchard
- Department of Biology, Stanford University, Stanford, CA USA
- Department of Genetics, Stanford University, Stanford, CA USA
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9
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Shivarov V, Tsvetkova G, Micheva I, Hadjiev E, Petrova J, Ivanova A, Madjarova G, Ivanova M. Differential modulation of mutant CALR and JAK2 V617F-driven oncogenesis by HLA genotype in myeloproliferative neoplasms. Front Immunol 2024; 15:1427810. [PMID: 39351227 PMCID: PMC11439724 DOI: 10.3389/fimmu.2024.1427810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 08/26/2024] [Indexed: 10/04/2024] Open
Abstract
It has been demonstrated previously that human leukocyte antigen class I (HLA-I) and class II (HLA-II) alleles may modulate JAK2 V617F and CALR mutation (CALRmut)-associated oncogenesis in myeloproliferative neoplasms (MPNs). However, the role of immunogenetic factors in MPNs remains underexplored. We aimed to investigate the potential involvement of HLA genes in CALRmut+ MPNs. High-resolution genotyping of HLA-I and -II loci was conducted in 42 CALRmut+ and 158 JAK2 V617F+ MPN patients and 1,083 healthy controls. A global analysis of the diversity of HLA-I genotypes revealed no significant differences between CALRmut+ patients and controls. However, one HLA-I allele (C*06:02) showed an inverse correlation with presence of CALR mutation. A meta-analysis across independent cohorts and healthy individuals from the 1000 Genomes Project confirmed an inverse correlation between the presentation capabilities of the HLA-I loci for JAK2 V617F and CALRmut-derived peptides in both patients and healthy individuals. scRNA-Seq analysis revealed low expression of TAP1 and CIITA genes in CALRmut+ hematopoietic stem and progenitor cells. In conclusion, the HLA-I genotype differentially restricts JAK2 V617F and CALRmut-driven oncogenesis potentially explaining the mutual exclusivity of the two mutations and differences in their presentation latency. These findings have practical implications for the development of neoantigen-based vaccines in MPNs.
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Affiliation(s)
- Velizar Shivarov
- Department of Experimental Research, Medical University Pleven, Pleven, Bulgaria
| | - Gergana Tsvetkova
- Department of Clinical Hematology, Alexandrovska University Hospital, Medical University Sofia, Sofia, Bulgaria
| | - Ilina Micheva
- Department of Clinical Hematology, Saint Marina University Hospital, Medical University Varna, Varna, Bulgaria
| | - Evgueniy Hadjiev
- Department of Clinical Hematology, Alexandrovska University Hospital, Medical University Sofia, Sofia, Bulgaria
| | - Jasmina Petrova
- Department of Physical Chemistry, Faculty of Chemistry and Pharmacy, Sofia University “St. Kl. Ohridski”, Sofia, Bulgaria
| | - Anela Ivanova
- Department of Physical Chemistry, Faculty of Chemistry and Pharmacy, Sofia University “St. Kl. Ohridski”, Sofia, Bulgaria
| | - Galia Madjarova
- Department of Physical Chemistry, Faculty of Chemistry and Pharmacy, Sofia University “St. Kl. Ohridski”, Sofia, Bulgaria
| | - Milena Ivanova
- Department of Clinical Immunology, Alexandrovska University Hospital, Medical University Sofia, Sofia, Bulgaria
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10
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French JD, Haugen BR, Worden FP, Bowles DW, Gianoukakis AG, Konda B, Dadu R, Sherman EJ, McCue S, Foster NR, Nikiforov YE, Farias TDJ, Norman PJ, Wirth LJ. Combination Targeted Therapy with Pembrolizumab and Lenvatinib in Progressive, Radioiodine-Refractory Differentiated Thyroid Cancers. Clin Cancer Res 2024; 30:3757-3767. [PMID: 38922338 DOI: 10.1158/1078-0432.ccr-23-3417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 04/08/2024] [Accepted: 06/21/2024] [Indexed: 06/27/2024]
Abstract
PURPOSE Lenvatinib, a potent multikinase inhibitor, improves progression-free survival (PFS) in patients with radioiodine (RAI)-refractory differentiated thyroid cancer; however, most patients experience disease progression, warranting further therapy. We evaluated the efficacy and safety of lenvatinib plus pembrolizumab in these patients. PATIENTS AND METHODS We enrolled patients with progressive, RAI-refractory differentiated thyroid cancer who were either naïve to multikinase inhibitors (cohort 1) or who had progressed on lenvatinib (cohort 2). Patients received oral lenvatinib daily (cohort 1, 20 mg; cohort 2, dose at progression) and intravenous pembrolizumab (200 mg) every 21 days. RESULTS In cohorts 1 and 2, 30 and 27 patients were enrolled, respectively. Adverse events were consistent with those observed in other cancers. In cohort 1, the confirmed overall response rate was 65.5%. There were no complete responses (primary endpoint). The 12- and 18-month PFS were 72.0% and 58.0%, respectively, and the median PFS was 26.8 months. In cohort 2, the confirmed overall response rate was 16% (primary endpoint), and the median PFS was 10.0 months (95% confidence interval, 7.0-17.9 months). Tumor histology, driver mutations, and immune-related biomarkers, including PD-L1 expression, thyroid-specific antibody levels, and CD8+ T-cell tumor infiltrate, did not correlate with response to therapy. Increased baseline peripheral blood monocytes and neutrophil to lymphocyte ratio were associated with a worse PFS in cohort 1. CONCLUSIONS Lenvatinib plus pembrolizumab may enhance the durability of lenvatinib monotherapy in lenvatinib-naïve patients. Furthermore, the addition of pembrolizumab may be a viable salvage therapy for patients who have progressed on lenvatinib.
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Affiliation(s)
- Jena D French
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- University of Colorado Cancer Center, Aurora, Colorado
| | - Bryan R Haugen
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- University of Colorado Cancer Center, Aurora, Colorado
| | - Francis P Worden
- Department of Medicine, University of Michigan, Rogel Cancer Center, Ann Arbor, Michigan
| | - Daniel W Bowles
- University of Colorado Cancer Center, Aurora, Colorado
- Division of Medical Oncology, University of Colorado Denver, Aurora, Colorado
- Department of Medicine, University of Colorado Denver, Aurora, Colorado
| | - Andrew G Gianoukakis
- David Geffen School of Medicine at UCLA, Los Angeles, California
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Bhavana Konda
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Ramona Dadu
- Department of Endocrine Neoplasia and Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Eric J Sherman
- David H. Koch Center for Cancer Care, Memorial Slone Kettering Cancer Center, New York, New York
| | - Shaylene McCue
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota
| | - Nathan R Foster
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota
| | - Yuri E Nikiforov
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Ticiana D J Farias
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado
| | - Paul J Norman
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado
| | - Lori J Wirth
- Massachusetts General Hospital, Boston, Massachusetts
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11
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Tălăngescu A, Tizu M, Calenic B, Mihăilescu DF, Constantinescu AE, Constantinescu I. HLA Genetic Diversity and Chronic Hepatitis B Virus Infection: Effect of Heterozygosity Advantage. Med Sci (Basel) 2024; 12:44. [PMID: 39311157 PMCID: PMC11417839 DOI: 10.3390/medsci12030044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 08/20/2024] [Accepted: 08/27/2024] [Indexed: 09/26/2024] Open
Abstract
This research aims to determine whether HLA heterozygosity confers a protective effect against hepatitis B virus infection by analyzing the relationship between HLA diversity and the risk of hepatitis B virus (HBV) infection. A total of 327 hepatitis B patients were selected and categorized based on their clinical status: 284 patients with chronic HBV infection and 43 patients with HBV-related liver cirrhosis (LC). The control group included 304 healthy individuals. HLA genotyping for 11 loci, including HLA class I and class II, was conducted using next-generation sequencing. The results of this study indicate a statistically significant negative correlation between HLA class II heterozygosity and the risk of HBV infection. Specifically, heterozygosity in HLA-DQB1 (OR = 0.49, 95% CI = 0.31-0.76, p = 0.01277) and HLA-DRB1 (OR = 0.42, 95% CI = 0.24-0.77, p = 0.01855) were significantly associated with protection. Subgroup analysis was conducted to explore the effect of HLA diversity among pathological subtypes (chronic hepatitis B and control group, liver cirrhosis and control group). For liver cirrhosis, compared with the control group, a decreased risk of LC was possibly associated with the heterozygosity of HLA class I locus B (OR = 0.24, 95% CI = 0.09-0.65, p = 0.0591), but this hypothesis was not confirmed by other studies. The diversity of HLA, measured by HLA heterozygosity, was associated with a protective effect against HBV infection.
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Affiliation(s)
- Adriana Tălăngescu
- Immunology and Transplant Immunology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.T.); (B.C.); (A.E.C.); (I.C.)
- Centre of Immunogenetics and Virology, Fundeni Clinical Institute, 258 Fundeni Avenue, 022328 Bucharest, Romania
| | - Maria Tizu
- Immunology and Transplant Immunology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.T.); (B.C.); (A.E.C.); (I.C.)
- Centre of Immunogenetics and Virology, Fundeni Clinical Institute, 258 Fundeni Avenue, 022328 Bucharest, Romania
| | - Bogdan Calenic
- Immunology and Transplant Immunology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.T.); (B.C.); (A.E.C.); (I.C.)
| | - Dan Florin Mihăilescu
- Department of Anatomy, Animal Physiology and Biophysics, Faculty of Biology, University of Bucharest, Splaiul Independentei Street, No. 91–95, 050095 Bucharest, Romania;
| | - Alexandra Elena Constantinescu
- Immunology and Transplant Immunology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.T.); (B.C.); (A.E.C.); (I.C.)
- “Emil Palade” Centre of Excellence for Young People in Scientific Research (EP-CEYR), 3 Ilfov Street, Sector 5, 050045 Bucharest, Romania
| | - Ileana Constantinescu
- Immunology and Transplant Immunology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.T.); (B.C.); (A.E.C.); (I.C.)
- Centre of Immunogenetics and Virology, Fundeni Clinical Institute, 258 Fundeni Avenue, 022328 Bucharest, Romania
- “Emil Palade” Centre of Excellence for Young People in Scientific Research (EP-CEYR), 3 Ilfov Street, Sector 5, 050045 Bucharest, Romania
- Academy of Romanian Scientists (AOSR), 3 Ilfov Street, Sector 5, 050045 Bucharest, Romania
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12
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Cao XY, Zhou HF, Liu XJ, Li XB. Human leukocyte antigen evolutionary divergence as a novel risk factor for donor selection in acute lymphoblastic leukemia patients undergoing haploidentical hematopoietic stem cell transplantation. Front Immunol 2024; 15:1440911. [PMID: 39229273 PMCID: PMC11369896 DOI: 10.3389/fimmu.2024.1440911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 08/01/2024] [Indexed: 09/05/2024] Open
Abstract
Introduction The human leukocyte antigen (HLA) evolutionary divergence (HED) reflects immunopeptidome diversity and has been shown to predict the response of tumors to immunotherapy. Its impact on allogeneic hematopoietic stem cell transplantation (HSCT) is controversial in different studies. Methods In this study, we retrospectively analyzed the clinical impact of class I and II HED in 225 acute lymphoblastic leukemia patients undergoing HSCT from related haploidentical donors. The HED for recipient, donor, and donor-recipient pair was calculated based on Grantham distance, which accounts for variations in the composition, polarity, and volume of each amino acid within the peptide-binding groove of two HLA alleles. The median value of HED scores was used as a cut-off to stratify patients with high or low HED. Results The class I HED for recipient (R_HEDclass I) showed the strongest association with cumulative incidence of relapse (12.2 vs. 25.0%, P = 0.00814) but not with acute graft-versus-host disease. The patients with high class II HED for donor-recipient (D/R_HEDclass II) showed a significantly higher cumulative incidence of severe aGVHD than those with low D/R_HEDclass II (24.0% vs. 6.1%, P = 0.0027). Multivariate analysis indicated that a high D/R_HEDclass II was an independent risk factor for the development of severe aGVHD (P = 0.007), and a high R_HEDclass I had a more than two-fold reduced risk of relapse (P = 0.028). However, there was no discernible difference in overall survival (OS) or disease-free survival (DFS) for patients with high or low HED, which was inconsistent with the previous investigation. Discussion While the observation are limited by the presented single center retrospective cohort, the results show that HED has poor prognostic value in OS or DFS, as well as the associations with relapse and aGVHD. In haploidentical setting, class II HED for donor-recipient pair (D/R_HEDclass II) is an independent and novel risk factor for finding the best haploidentical donor, which could potentially influence clinical practice if verified in larger cohorts.
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Affiliation(s)
- Xing-Yu Cao
- Department of Bone Marrow Transplant, Hebei Yanda Lu Daopei Hospital, Langfang, China
- Department of Bone Marrow Transplant, Beijing Lu Daopei Hospital, Beijing, China
| | - Hai-Fei Zhou
- Beijing BFR Gene Diagnostics Co., Ltd, Beijing, China
| | - Xiang-Jun Liu
- Beijing BFR Gene Diagnostics Co., Ltd, Beijing, China
| | - Xiao-Bo Li
- Beijing BFR Gene Diagnostics Co., Ltd, Beijing, China
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13
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Dekeyser M, de Goër de Herve MG, Hendel-Chavez H, Lhotte R, Scriabine I, Bargiel K, Boutin E, Herr F, Taupin JL, Taoufik Y, Durrbach A. Allogeneic CD4 T Cells Sustain Effective BK Polyomavirus-Specific CD8 T Cell Response in Kidney Transplant Recipients. Kidney Int Rep 2024; 9:2498-2513. [PMID: 39156165 PMCID: PMC11328547 DOI: 10.1016/j.ekir.2024.04.070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 04/29/2024] [Indexed: 08/20/2024] Open
Abstract
Introduction BK polyomavirus-associated nephropathy (BKPyVAN) is a significant complication in kidney transplant recipients (KTRs), associated with a higher level of plasmatic BK polyomavirus (BKPyV) replication and leading to poor graft survival. Methods We prospectively followed-up with 100 KTRs with various degrees of BKPyV reactivation (no BKPyV reactivation, BKPyV-DNAuria, BKPyV-DNAemia, and biopsy-proven BKPyVAN [bp-BKPyVAN], 25 patients per group) and evaluated BKPyV-specific T cell functionality and phenotype. Results We demonstrate that bp-BKPyVAN is associated with a loss of BKPyV-specific T cell proliferation, cytokine secretion, and cytotoxic capacities. This severe functional impairment is associated with an overexpression of lymphocyte inhibitory receptors (programmed cell death 1 [PD1], cytotoxic T lymphocyte-associated protein 4, T cell immunoreceptor with Ig and ITIM domains, and T cell immunoglobulin and mucin domain-containing-3), highlighting an exhausted-like phenotype of BKPyV-specific CD4 and CD8 T cells in bp-BKPyVAN. This T cell dysfunction is associated with low class II donor-recipient human leukocyte antigen (HLA) divergence. In contrast, in the context of higher class II donor-recipient HLA (D/R-HLA) divergence, allogeneic CD4 T cells can provide help that sustains BKPyV-specific CD8 T cell responses. In vitro, allogeneic HLA-mismatched CD4 T cells rescue BKPyV-specific CD8 T cell responses. Conclusion Our findings suggest that in KTRs, allogeneic CD4 T cells can help to maintain an effective BKPyV-specific CD8 T cell response that better controls BKPyV replication in the kidney allograft and may protect against BKPyVAN.
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Affiliation(s)
- Manon Dekeyser
- INSERM 1186, Gustave Roussy Institute, Villejuif, France
- Paris-Saclay University, Paris, France
- Department of Nephrology, Center Hospitalier Régional Universitaire d'Orléans, Orléans, France
| | | | - Houria Hendel-Chavez
- INSERM 1186, Gustave Roussy Institute, Villejuif, France
- Paris-Saclay University, Paris, France
| | - Romain Lhotte
- Laboratory of Immunology and Histocompatibility, Saint Louis Hospital, Assistance Publique-Hôpitaux de Paris, INSERM U976 (Team 3), Paris, France
| | - Ivan Scriabine
- INSERM 1186, Gustave Roussy Institute, Villejuif, France
- Paris-Saclay University, Paris, France
| | - Karen Bargiel
- INSERM 1186, Gustave Roussy Institute, Villejuif, France
- Paris-Saclay University, Paris, France
| | - Emmanuelle Boutin
- Unit of Clinical Research, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Creteil, France
- Paris Est Creteil University, INSERM, IMRB, CEpiA Team, Creteil, France
| | - Florence Herr
- INSERM 1186, Gustave Roussy Institute, Villejuif, France
- Paris-Saclay University, Paris, France
| | - Jean-Luc Taupin
- Laboratory of Immunology and Histocompatibility, Saint Louis Hospital, Assistance Publique-Hôpitaux de Paris, INSERM U976 (Team 3), Paris, France
| | - Yassine Taoufik
- INSERM 1186, Gustave Roussy Institute, Villejuif, France
- Paris-Saclay University, Paris, France
| | - Antoine Durrbach
- INSERM 1186, Gustave Roussy Institute, Villejuif, France
- Paris-Saclay University, Paris, France
- Department of Nephrology and Transplantation, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Creteil, France
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14
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Smith CJ, Strausz S, Spence JP, Ollila HM, Pritchard JK. Haplotype Analysis Reveals Pleiotropic Disease Associations in the HLA Region. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.29.24311183. [PMID: 39132491 PMCID: PMC11312630 DOI: 10.1101/2024.07.29.24311183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
The human leukocyte antigen (HLA) region plays an important role in human health through involvement in immune cell recognition and maturation. While genetic variation in the HLA region is associated with many diseases, the pleiotropic patterns of these associations have not been systematically investigated. Here, we developed a haplotype approach to investigate disease associations phenome-wide for 412,181 Finnish individuals and 2,459 traits. Across the 1,035 diseases with a GWAS association, we found a 17-fold average per-SNP enrichment of hits in the HLA region. Altogether, we identified 7,649 HLA associations across 647 traits, including 1,750 associations uncovered by haplotype analysis. We find some haplotypes show trade-offs between diseases, while others consistently increase risk across traits, indicating a complex pleiotropic landscape involving a range of diseases. This study highlights the extensive impact of HLA variation on disease risk, and underscores the importance of classical and non-classical genes, as well as non-coding variation.
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Affiliation(s)
- Courtney J. Smith
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Satu Strausz
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Department of Oral and Maxillofacial Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Department of Plastic Surgery, Cleft Palate and Craniofacial Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | | | - Jeffrey P. Spence
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Hanna M. Ollila
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jonathan K. Pritchard
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biology, Stanford University, Stanford, CA, USA
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15
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Tanegashima T, Shiota M, Fujiyama N, Narita S, Habuchi T, Fukuchi G, Takamatsu D, Oda Y, Miyake H, Takahashi M, Oya M, Tsuchiya N, Masumori N, Matsuyama H, Obara W, Shinohara N, Fujimoto K, Nozawa M, Ohba K, Ohyama C, Hashine K, Akamatsu S, Kamba T, Mita K, Gotoh M, Tatarano S, Fujisawa M, Tomita Y, Mukai S, Ito K, Tokunaga S, Eto M. Effect of HLA Genotype on Anti-PD-1 Antibody Treatment for Advanced Renal Cell Carcinoma in the SNiP-RCC Study. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2024; 213:23-28. [PMID: 38758119 PMCID: PMC11212726 DOI: 10.4049/jimmunol.2300308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 04/16/2024] [Indexed: 05/18/2024]
Abstract
Immune checkpoint blockade therapies are widely used for cancer treatment, including advanced renal cell carcinoma (RCC). This study aimed to investigate the impact of zygosity in HLA genes and individual HLA genotypes on the efficacy of an anti-PD-1 Ab, nivolumab, in treating advanced RCC. Patient enrollment was conducted across 23 institutions in Japan from August 19, 2019, to September 30, 2020, with follow-up concluding on March 31, 2021. HLA genotype imputation of HLA-A, B, and C, DQB1, and DRB1 loci was performed. Among 222 patients, the presence of at least one homozygosity of the HLA-II allele significantly improved the best objective response (hazard ratio, 0.34; 95% confidence interval, 0.21-0.96; p = 0.042). The HLA evolutionary divergence (HED) of the HLA-A and HLA-B loci was higher than the HLA-C (p < 0.0001 and p < 0.0001, respectively), with high HED of the HLA-B locus correlating to clinical benefits in nivolumab treatment (hazard ratio, 0.44; 95% confidence interval, 0.21-0.90; p = 0.024) and improving cancer-specific survival compared with the low group (p = 0.0202). Additionally, high HED of the HLA-B locus was correlated with the number of infiltrated CD8+ cells in the tumor microenvironment (correlation coefficient, 0.4042). These findings indicate that the diversity of the HLA-B locus plays a significant role in the anti-tumor effect of nivolumab treatment in advanced RCC, potentially offering insights for improved risk stratification in nivolumab treatment and leading to better medical management of advanced RCC.
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Affiliation(s)
- Tokiyoshi Tanegashima
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masaki Shiota
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Nobuhiro Fujiyama
- Center for Kidney Disease and Transplantation, Akita University Hospital, Akita, Japan
| | - Shintaro Narita
- Department of Urology, Graduate School of Medicine, Akita University, Akita, Japan
| | - Tomonori Habuchi
- Department of Urology, Graduate School of Medicine, Akita University, Akita, Japan
| | - Genshiro Fukuchi
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Dai Takamatsu
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoshinao Oda
- Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hideaki Miyake
- Department of Urology, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Masayuki Takahashi
- Department of Urology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Mototsugu Oya
- Department of Urology, Keio University School of Medicine, Tokyo, Japan
| | - Norihiko Tsuchiya
- Department of Urology, Faculty of Medicine, Yamagata University, Yamagata, Japan
| | - Naoya Masumori
- Department of Urology, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Hideyasu Matsuyama
- Department of Urology, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Wataru Obara
- Department of Urology, Iwate Medical University School of Medicine, Iwate, Japan
| | - Nobuo Shinohara
- Department of Renal and Genitourinary Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | | | - Masahiro Nozawa
- Department of Urology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Kojiro Ohba
- Department of Urology, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Chikara Ohyama
- Department of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Katsuyoshi Hashine
- Department of Urology, National Hospital Organization Shikoku Cancer Center, Ehime, Japan
| | - Shusuke Akamatsu
- Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomomi Kamba
- Department of Urology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto Japan
| | - Koji Mita
- Department of Urology, Hiroshima City Asa Citizens Hospital, Hiroshima, Japan
| | - Momokazu Gotoh
- Department of Urology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Shuichi Tatarano
- Department of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Masato Fujisawa
- Department of Urology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Yoshihiko Tomita
- Department of Urology and Molecular Oncology, Graduate School of Medicine and Dental Sciences, Niigata University, Niigata, Japan
| | - Shoichiro Mukai
- Department of Urology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Keiichi Ito
- Department of Urology, National Defense Medical College, Saitama, Japan
| | - Shoji Tokunaga
- Medical Information Center, Kyushu University Hospital, Fukuoka, Japan
| | - Masatoshi Eto
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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16
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Zhang Z, Hu Q, Yang C, Chen M, Han B. Comparison of human leukocyte antigen in patients with paroxysmal nocturnal hemoglobinuria of different clone sizes. Ann Hematol 2024; 103:1897-1907. [PMID: 38616191 DOI: 10.1007/s00277-024-05740-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 04/01/2024] [Indexed: 04/16/2024]
Abstract
Glycosylphosphatidylinositol-anchored protein-deficient hematopoietic stem and progenitor cell development caused by PIGA mutations cannot fully explain the pathogenesis of paroxysmal nocturnal hemoglobinuria (PNH). Herein, patients newly diagnosed with PNH at our hospital between April 2019 and April 2021 were recruited. The human leukocyte antigen (HLA) class I and II loci were analyzed, and patients were stratified by PNH clone sizes: small (< 50%) and large (≥ 50%). In 40 patients (29 males; 72.5%), the median PNH clone size was 72%. Thirteen (32.5%) and twenty-seven (67.5%) patients harbored small and large PNH clones, respectively. DRB1*15:01 and DQB1*06:02 had higher frequencies in patients with PNH than in healthy controls (adjusted P-value = 4.10 × 10-4 and 4.10 × 10-4, respectively). Whole HLA class I and II allele contributions differed (P = 0.046 and 0.065, not significant difference) when comparing patients with small and large PNH clones. B*13:01 and C*04:01 allelic frequencies were significantly higher in patients with small clones (P = 0.032 and P = 0.032, respectively). Patients with small clones had higher class II HLA evolutionary divergence (HED) (P = 0.041) and global class I and II HED (P = 0.019). In the entire cohort, 17 HLA aberrations were found in 11 (27.5%) patients. No significant differences in HLA aberrations were found between patients with small or large clones. In conclusion, patients with small clones tended to have a higher frequency of immune attack-associated alleles. A higher HED in patients with small clones may reflect a propensity for T cell-mediated autoimmunity. HLA aberrations were similar between patients with small and large clones.
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Affiliation(s)
- Zhuxin Zhang
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Qinglin Hu
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Chen Yang
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Miao Chen
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
| | - Bing Han
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
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17
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Sanchez-Mazas A, Nunes JM. The most frequent HLA alleles around the world: A fundamental synopsis. Best Pract Res Clin Haematol 2024; 37:101559. [PMID: 39098805 DOI: 10.1016/j.beha.2024.101559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 06/10/2024] [Accepted: 06/27/2024] [Indexed: 08/06/2024]
Abstract
A comprehensive knowledge of human leukocyte antigen (HLA) molecular variation worldwide is essential in human population genetics research and disease association studies and is also indispensable for clinical applications such as allogeneic hematopoietic cell transplantation, where ensuring HLA compatibility between donors and recipients is paramount. Enormous progress has been made in this field thanks to several decades of HLA population studies allowing the development of helpful databases and bioinformatics tools. However, it is still difficult to appraise the global HLA population diversity in a synthetic way. We thus introduce here a novel approach, based on approximately 2000 data sets, to assess this complexity by providing a fundamental synopsis of the most frequent HLA alleles observed in different regions of the world. This new knowledge will be useful not only as a fundamental reference for basic research, but also as an efficient guide for clinicians working in the field of transplantation.
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Affiliation(s)
- Alicia Sanchez-Mazas
- Laboratory of Anthropology, Genetics and Peopling History (AGP), Department of Genetics and Evolution & Institute of Genetics and Genomics in Geneva (IGE3), University of Geneva, 30 Quai Ernest-Ansermet, 1205, Geneva, Switzerland.
| | - José Manuel Nunes
- Laboratory of Anthropology, Genetics and Peopling History (AGP), Department of Genetics and Evolution & Institute of Genetics and Genomics in Geneva (IGE3), University of Geneva, 30 Quai Ernest-Ansermet, 1205, Geneva, Switzerland.
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18
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Féray C, Allain V, Desterke C, Roche B, Coilly A, Caillat-Zucman S. HLA-DQ Diversity Is Associated With Humoral Response to Vaccines in Patients Awaiting or After Liver Transplantation. Gastroenterology 2024; 166:915-917.e3. [PMID: 38215998 DOI: 10.1053/j.gastro.2024.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/22/2023] [Accepted: 01/07/2024] [Indexed: 01/14/2024]
Affiliation(s)
- Cyrille Féray
- Centre Hépato-Biliaire, Assistance Publique-Hôpitaux de Paris, Hôpital Paul-Brousse, Villejuif, France; Université Paris-Saclay, UMR-S 1193 INSERM, FHU Hepatinov, Villejuif, France.
| | - Vincent Allain
- Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université de Paris, Laboratoire d'Immunologie et Histocompatibilité, Paris, France; INSERM UMR976, Université de Paris, Paris, France
| | - Christophe Desterke
- Centre Hépato-Biliaire, Assistance Publique-Hôpitaux de Paris, Hôpital Paul-Brousse, Villejuif, France; Université Paris-Saclay, UMR-S 1193 INSERM, FHU Hepatinov, Villejuif, France
| | - Bruno Roche
- Centre Hépato-Biliaire, Assistance Publique-Hôpitaux de Paris, Hôpital Paul-Brousse, Villejuif, France; Université Paris-Saclay, UMR-S 1193 INSERM, FHU Hepatinov, Villejuif, France
| | - Audrey Coilly
- Centre Hépato-Biliaire, Assistance Publique-Hôpitaux de Paris, Hôpital Paul-Brousse, Villejuif, France; Université Paris-Saclay, UMR-S 1193 INSERM, FHU Hepatinov, Villejuif, France
| | - Sophie Caillat-Zucman
- Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université de Paris, Laboratoire d'Immunologie et Histocompatibilité, Paris, France; INSERM UMR976, Université de Paris, Paris, France
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19
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Ding XH, Xiao Y, Chen F, Liu CL, Fu T, Shao ZM, Jiang YZ. The HLA-I landscape confers prognosis and antitumor immunity in breast cancer. Brief Bioinform 2024; 25:bbae151. [PMID: 38602320 PMCID: PMC11007120 DOI: 10.1093/bib/bbae151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/12/2024] [Accepted: 03/19/2024] [Indexed: 04/12/2024] Open
Abstract
Breast cancer is a highly heterogeneous disease with varied subtypes, prognoses and therapeutic responsiveness. Human leukocyte antigen class I (HLA-I) shapes the immunity and thereby influences the outcome of breast cancer. However, the implications of HLA-I variations in breast cancer remain poorly understood. In this study, we established a multiomics cohort of 1156 Chinese breast cancer patients for HLA-I investigation. We calculated four important HLA-I indicators in each individual, including HLA-I expression level, somatic HLA-I loss of heterozygosity (LOH), HLA-I evolutionary divergence (HED) and peptide-binding promiscuity (Pr). Then, we evaluated their distribution and prognostic significance in breast cancer subtypes. We found that the four breast cancer subtypes had distinct features of HLA-I indicators. Increased expression of HLA-I and LOH were enriched in triple-negative breast cancer (TNBC), while Pr was relatively higher in hot tumors within TNBCs. In particular, a higher Pr indicated a better prognosis in TNBCs by regulating the infiltration of immune cells and the expression of immune molecules. Using the matched genomic and transcriptomic data, we found that mismatch repair deficiency-related mutational signature and pathways were enriched in low-Pr TNBCs, suggesting that targeting mismatch repair deficiency for synthetic lethality might be promising therapy for these patients. In conclusion, we presented an overview of HLA-I indicators in breast cancer and provided hints for precision treatment for low-Pr TNBCs.
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Affiliation(s)
- Xiao-Hong Ding
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, P.R. China
| | - Yi Xiao
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, P.R. China
| | - Fenfang Chen
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
| | - Cheng-Lin Liu
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
| | - Tong Fu
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, P.R. China
| | - Zhi-Ming Shao
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, P.R. China
| | - Yi-Zhou Jiang
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, P.R. China
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20
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Krishna C, Tervi A, Saffern M, Wilson EA, Yoo SK, Mars N, Roudko V, Cho BA, Jones SE, Vaninov N, Selvan ME, Gümüş ZH, Lenz TL, Merad M, Boffetta P, Martínez-Jiménez F, Ollila HM, Samstein RM, Chowell D. An immunogenetic basis for lung cancer risk. Science 2024; 383:eadi3808. [PMID: 38386728 DOI: 10.1126/science.adi3808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 01/16/2024] [Indexed: 02/24/2024]
Abstract
Cancer risk is influenced by inherited mutations, DNA replication errors, and environmental factors. However, the influence of genetic variation in immunosurveillance on cancer risk is not well understood. Leveraging population-level data from the UK Biobank and FinnGen, we show that heterozygosity at the human leukocyte antigen (HLA)-II loci is associated with reduced lung cancer risk in smokers. Fine-mapping implicated amino acid heterozygosity in the HLA-II peptide binding groove in reduced lung cancer risk, and single-cell analyses showed that smoking drives enrichment of proinflammatory lung macrophages and HLA-II+ epithelial cells. In lung cancer, widespread loss of HLA-II heterozygosity (LOH) favored loss of alleles with larger neopeptide repertoires. Thus, our findings nominate genetic variation in immunosurveillance as a critical risk factor for lung cancer.
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Affiliation(s)
- Chirag Krishna
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Anniina Tervi
- Institute for Molecular Medicine, Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland
| | - Miriam Saffern
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Eric A Wilson
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Seong-Keun Yoo
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nina Mars
- Institute for Molecular Medicine, Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland
| | - Vladimir Roudko
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Byuri Angela Cho
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Samuel Edward Jones
- Institute for Molecular Medicine, Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland
| | - Natalie Vaninov
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Myvizhi Esai Selvan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Zeynep H Gümüş
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Tobias L Lenz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, Universität Hamburg, 20146 Hamburg, Germany
| | - Miriam Merad
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Paolo Boffetta
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, 40138 Bologna, Italy
- Stony Brook Cancer Center, Stony Brook University, New York, NY 11794, USA
| | - Francisco Martínez-Jiménez
- Vall d'Hebron Institute of Oncology, Barcelona 08035, Spain
- Hartwig Medical Foundation, Amsterdam 1098 XH, the Netherlands
| | - Hanna M Ollila
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Institute for Molecular Medicine, Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Robert M Samstein
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Radiation Oncology, Mount Sinai Hospital, New York, NY 10029, USA
| | - Diego Chowell
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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21
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Shiota M, Tanegashima T, Tatarano S, Kamoto T, Matsuyama H, Sakai H, Igawa T, Kamba T, Fujimoto N, Yokomizo A, Naito S, Eto M. The effect of human leukocyte antigen genotype on survival in advanced prostate cancer treated with primary androgen deprivation therapy: the KYUCOG-1401-A study. Prostate Cancer Prostatic Dis 2024:10.1038/s41391-024-00808-0. [PMID: 38368501 DOI: 10.1038/s41391-024-00808-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 02/02/2024] [Accepted: 02/08/2024] [Indexed: 02/19/2024]
Abstract
BACKGROUND Immune editing, in which human leukocyte antigens (HLA) have critical roles, has been suggested to shape the landscape of human cancer. This study prospectively investigated whether HLA gene zygosity is associated with the prognosis of primary androgen deprivation therapy in advanced prostate cancer. METHODS KYUCOG-1401-A was conducted in conjunction with a prospective clinical trial (KYUCOG-1401). Among the patients enrolled in KYUCOG-1401 and treated with primary androgen deprivation therapy, only Japanese patients were included. HLA genotypes of HLA-A, B, C, DRB1, DQB1, and DPB1 were determined. The effect of divergence of HLA genotypes on time to progression, prostate cancer-specific survival, and overall survival was evaluated. RESULTS Among 127 patients, homozygosity for HLA-DRB1 (HR, 95% CI; 4.05, 1.54-10.7, P = 0.0047) and HLA-DQB1 (HR, 95% CI; 3.75, 1.47-9.58, P = 0.0058) was associated with an increased risk of prostate cancer-specific mortality. Patients with higher HLA evolutionary divergence scores at HLA-DQB1 (HR, 95% CI; 0.90, 0.82-0.97, P = 0.0093) had lower risks of prostate cancer-specific mortality. Androgen-responsive gene sets were upregulated in CD4low and CD8low tumors in the prostate cancer cohort, but not in the bladder and kidney cancer cohorts. CONCLUSIONS This study suggested that the diversity of HLA-II loci including HLA-DRB1 and HLA-DQB1 plays an important role in advanced prostate cancer survival, contributing to improved risk stratification in advanced prostate cancer. Moreover, it was shown that CD4+ T cells play an important role in androgen deprivation therapy, suggesting that immunotherapy targeting CD4+ T cells is promising for prostate cancer.
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Affiliation(s)
- Masaki Shiota
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Tokiyoshi Tanegashima
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shuichi Tatarano
- Department of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Toshiyuki Kamoto
- Department of Urology, Faculty of Medicine, Miyazaki University, Miyazaki, Japan
| | - Hideyasu Matsuyama
- Department of Urology, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Hideki Sakai
- Department of Urology, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Tsukasa Igawa
- Department of Urology, School of Medicine, Kurume University, Kurume, Japan
| | - Tomomi Kamba
- Department of Urology, Kumamoto University, Kumamoto, Japan
| | - Naohiro Fujimoto
- Department of Urology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Akira Yokomizo
- Department of Urology, Harasanshin Hospital, Fukuoka, Japan
| | - Seiji Naito
- Department of Urology, Harasanshin Hospital, Fukuoka, Japan
| | - Masatoshi Eto
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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22
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Ferreira D, San‐Jose LM, Roulin A, Gaigher A, Fumagalli L. Limited associations between MHC diversity and reproductive success in a bird species with biparental care. Ecol Evol 2024; 14:e10950. [PMID: 38384825 PMCID: PMC10879840 DOI: 10.1002/ece3.10950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 12/13/2023] [Indexed: 02/23/2024] Open
Abstract
The selective pressure from pathogens on individuals can have direct consequences on reproduction. Genes from the major histocompatibility complex (MHC) are central to the vertebrate adaptive immune system and pathogen resistance. In species with biparental care, each sex has distinct reproductive roles and levels of investment, and due to a trade-off with immunity, one can expect different selective regimes acting upon the MHC of each parent. Here, we addressed whether couples combine each other's variation at MHC loci to increase their breeding success. Specifically, we used a 23-year dataset from a barn owl population (Tyto alba) to understand how MHC class Iα and IIβ functional divergence and supertypes of each parent were associated with clutch size and fledging success. We did not detect associations between MHC diversity and supertypes with the clutch size or with the fledging success. In addition, to understand the relative contribution from the MHC of the genetic parents and the social parents, we analyzed the fledging success using only a cross-fostered dataset. We found several associations of weak-to-moderate effect sizes between the father's MHC and fledging success: (i) lower MHC-Iα divergence in the genetic father increases fledging success, which might improve paternal care during incubation, and (ii) one and two MHC-IIβ DAB2 supertypes in the social father decrease and increase, respectively, fledging success, which may affect the paternal care after hatching. Furthermore, fledging success increased when both parents did not carry MHC-IIβ DAB1 supertype 2, which could suggest conditional effects of this supertype. Although our study relied on a substantial dataset, we showed that the associations between MHC diversity and reproductive success remain scarce and of complex interpretation in the barn owl. Moreover, our results highlighted the need to incorporate more than one proxy of reproductive success and several MHC classes to capture more complex associations.
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Affiliation(s)
- Diana Ferreira
- Laboratory for Conservation Biology, Department of Ecology and Evolution, BiophoreUniversity of LausanneLausanneSwitzerland
| | - Luis M. San‐Jose
- Laboratoire Évolution and Diversité Biologique, UMR 5174, CNRSUniversité Toulouse III Paul Sabatier, IRDToulouseFrance
| | - Alexandre Roulin
- Department of Ecology and Evolution, BiophoreUniversity of LausanneLausanneSwitzerland
| | - Arnaud Gaigher
- CIBIO‐InBIO, Research Center in Biodiversity and Genetic ResourcesUniversity of PortoVairãoPortugal
- Research Unit for Evolutionary Immunogenomics, Department of BiologyUniversity of HamburgHamburgGermany
| | - Luca Fumagalli
- Laboratory for Conservation Biology, Department of Ecology and Evolution, BiophoreUniversity of LausanneLausanneSwitzerland
- Swiss Human Institute of Forensic Taphonomy, University Centre of Legal Medicine Lausanne‐GenevaLausanne University Hospital and University of LausanneLausanneSwitzerland
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23
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Pagliuca S, Ferraro F. Immune-driven clonal cell selection at the intersection among cancer, infections, autoimmunity and senescence. Semin Hematol 2024; 61:22-34. [PMID: 38341340 DOI: 10.1053/j.seminhematol.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 12/14/2023] [Accepted: 01/02/2024] [Indexed: 02/12/2024]
Abstract
Immune surveillance mechanisms play a crucial role in maintaining lifelong immune homeostasis in response to pathologic stimuli and aberrant cell states. However, their persistence, especially in the context of chronic antigenic exposure, can create a fertile ground for immune evasion. These escaping cell phenotypes, harboring a variety of genomic and transcriptomic aberrances, chiefly in human leukocyte antigen (HLA) and antigen presentation machinery genes, may survive and proliferate, featuring a scenario of clonal cell expansion with immune failure characteristics. While well characterized in solid and, to some extent, hematological malignancies, little is known about their occurrence and significance in other disease contexts. Historical literature highlights the role for escaping HLA-mediated recognition as a strategy adopted by virus to evade from the immune system, hinting at the potential for immune aberrant cell expansion in the context of chronic infections. Additionally, unmasked in idiopathic aplastic anemia as a mechanism able to rescue failing hematopoiesis, HLA clonal escape may operate in autoimmune disorders, particularly in tissues targeted by aberrant immune responses. Furthermore, senescent cell status emerging as immunogenic phenotypes stimulating T cell responses, may act as a bottleneck for the selection of such immune escaping clones, blurring the boundaries between neoplastic transformation, aging and inflammation. Here we provide a fresh overview and perspective on this immune-driven clonal cell expansion, linking pathophysiological features of neoplastic, autoimmune, infectious and senescence processes exposed to immune surveillance.
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Affiliation(s)
- Simona Pagliuca
- Hematology Department, Nancy University Hospital and UMR7365, IMoPA, University of Lorraine, Vandoeuvre-lès-Nancy, France.
| | - Francesca Ferraro
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO
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24
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Viard M, O'hUigin C, Yuki Y, Bashirova AA, Collins DR, Urbach JM, Wolinsky S, Buchbinder S, Kirk GD, Goedert JJ, Michael NL, Haas DW, Deeks SG, Walker BD, Yu X, Carrington M. Impact of HLA class I functional divergence on HIV control. Science 2024; 383:319-325. [PMID: 38236978 PMCID: PMC11395297 DOI: 10.1126/science.adk0777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 12/07/2023] [Indexed: 01/23/2024]
Abstract
Heterozygosity of Human leukocyte antigen (HLA) class I genes is linked to beneficial outcomes after HIV infection, presumably through greater breadth of HIV epitope presentation and cytotoxic T cell response. Distinct allotype pairs, however, differ in the extent to which they bind shared sets of peptides. We developed a functional divergence metric that measures pairwise complementarity of allotype-associated peptide binding profiles. Greater functional divergence for pairs of HLA-A and/or HLA-B allotypes was associated with slower AIDS progression and independently with enhanced viral load control. The metric predicts immune breadth at the peptide level rather than gene level and redefines HLA heterozygosity as a continuum differentially affecting disease outcome. Functional divergence may affect response to additional infections, vaccination, immunotherapy, and other diseases where HLA heterozygote advantage occurs.
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Affiliation(s)
- Mathias Viard
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
| | - Colm O'hUigin
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
| | - Yuko Yuki
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
| | - Arman A Bashirova
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
| | - David R Collins
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Jonathan M Urbach
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Steven Wolinsky
- Division of Infectious Diseases, Department of Medicine, The Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Susan Buchbinder
- Bridge HIV, San Francisco Department of Public Health, San Francisco, CA, USA
- Department of Medicine, Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Gregory D Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nelson L Michael
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - David W Haas
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Steven G Deeks
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Bruce D Walker
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Xu Yu
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
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25
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de Joode K, Heersche N, Basak EA, Bins S, van der Veldt AAM, van Schaik RHN, Mathijssen RHJ. Review - The impact of pharmacogenetics on the outcome of immune checkpoint inhibitors. Cancer Treat Rev 2024; 122:102662. [PMID: 38043396 DOI: 10.1016/j.ctrv.2023.102662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/22/2023] [Accepted: 11/23/2023] [Indexed: 12/05/2023]
Abstract
The development of immune checkpoint inhibitors (ICIs) has a tremendous effect on the treatment options for multiple types of cancer. Nonetheless, there is a large interpatient variability in response, survival, and the development of immune-related adverse events (irAEs). Pharmacogenetics is the general term for germline genetic variations, which may cause the observed interindividual differences in response or toxicity to treatment. These genetic variations can either be single-nucleotide polymorphisms (SNPs) or structural variants, such as gene deletions, amplifications or rearrangements. For ICIs, pharmacogenetic variation in the human leukocyte antigen molecules has also been studied with regard to treatment outcome. This review presents a summary of the literature regarding the pharmacogenetics of ICI treatment, discusses the most important known genetic variations and offers recommendations on the application of pharmacogenetics for ICI treatment.
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Affiliation(s)
- Karlijn de Joode
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Niels Heersche
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands; Department of Clinical Chemistry, Erasmus MC, Erasmus University Hospital, Rotterdam, the Netherlands
| | - Edwin A Basak
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Sander Bins
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Astrid A M van der Veldt
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands; Department of Radiology & Nuclear Medicine, Erasmus MC, Erasmus University Hospital, Rotterdam, the Netherlands
| | - Ron H N van Schaik
- Department of Clinical Chemistry, Erasmus MC, Erasmus University Hospital, Rotterdam, the Netherlands
| | - Ron H J Mathijssen
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
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26
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Lenz TL. HLA Genes: A Hallmark of Functional Genetic Variation and Complex Evolution. Methods Mol Biol 2024; 2809:1-18. [PMID: 38907887 DOI: 10.1007/978-1-0716-3874-3_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/24/2024]
Abstract
The major histocompatibility complex (MHC) with its highly polymorphic HLA genes represents one of the most intensely studied genomic regions in the genome. MHC proteins play a key role in antigen-specific immunity and are associated with a wide range of complex diseases. Despite decades of research and many advances in the field, the characterization and interpretation of its genetic and genomic variability remain challenging. Here an overview is provided of the MHC, the nature of its exceptional variability, and the complex evolutionary processes assumed to drive this variability. Highlighted are also recent advances in the field that promise to improve our understanding of the variability in the MHC and in antigen-specific immunity more generally.
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Affiliation(s)
- Tobias L Lenz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany.
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27
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Roved J. MHCtools 1.5: Analysis of MHC Sequencing Data in R. Methods Mol Biol 2024; 2809:275-295. [PMID: 38907904 DOI: 10.1007/978-1-0716-3874-3_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/24/2024]
Abstract
The genes of the major histocompatibility complex (MHC) play a vital role in the vertebrate immune system and have attracted considerable interest in evolutionary biology. While the MHC has been characterized in detail in humans (human leukocyte antigen, HLA) and in model organisms such as the mouse, studies in non-model organisms often lack prior knowledge about structure, genetic variability, and evolutionary properties of this locus. MHC genotyping in non-model species commonly relies on PCR-based amplicon sequencing, and while several published protocols facilitate generation of MHC sequence data, there is a lack of transparent and standardized tools for downstream data analysis.Here, I present the R package MHCtools version 1.5, which contains 15 tools that (i) assist accurate MHC genotyping from high-throughput amplicon sequencing data, and provide standardized methods to analyze (ii) MHC diversity, (iii) MHC supertypes, and (iv) MHC haplotypes.I hope that MHCtools will be helpful in future studies of the MHC in non-model species and that it may help to advance our understanding of the important roles of the MHC in ecology and evolution.
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Affiliation(s)
- Jacob Roved
- Section for Molecular Ecology and Evolution, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.
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28
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Vos JL, Burman B, Jain S, Fitzgerald CWR, Sherman EJ, Dunn LA, Fetten JV, Michel LS, Kriplani A, Ng KK, Eng J, Tchekmedyian V, Haque S, Katabi N, Kuo F, Han CY, Nadeem Z, Yang W, Makarov V, Srivastava RM, Ostrovnaya I, Prasad M, Zuur CL, Riaz N, Pfister DG, Klebanoff CA, Chan TA, Ho AL, Morris LGT. Nivolumab plus ipilimumab in advanced salivary gland cancer: a phase 2 trial. Nat Med 2023; 29:3077-3089. [PMID: 37620627 PMCID: PMC11293616 DOI: 10.1038/s41591-023-02518-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 07/27/2023] [Indexed: 08/26/2023]
Abstract
Salivary gland cancers (SGCs) are rare, aggressive cancers without effective treatments when metastasized. We conducted a phase 2 trial evaluating nivolumab (nivo, anti-PD-1) and ipilimumab (ipi, anti-CTLA-4) in 64 patients with metastatic SGC enrolled in two histology-based cohorts (32 patients each): adenoid cystic carcinoma (ACC; cohort 1) and other SGCs (cohort 2). The primary efficacy endpoint (≥4 objective responses) was met in cohort 2 (5/32, 16%) but not in cohort 1 (2/32, 6%). Treatment safety/tolerability and progression-free survival (PFS) were secondary endpoints. Treatment-related adverse events grade ≥3 occurred in 24 of 64 (38%) patients across both cohorts, and median PFS was 4.4 months (95% confidence interval (CI): 2.4, 8.3) and 2.2 months (95% CI: 1.8, 5.3) for cohorts 1 and 2, respectively. We present whole-exome, RNA and T cell receptor (TCR) sequencing data from pre-treatment and on-treatment tumors and immune cell flow cytometry and TCR sequencing from peripheral blood at serial timepoints. Responding tumors universally demonstrated clonal expansion of pre-existing T cells and mutational contraction. Responding ACCs harbored neoantigens, including fusion-derived neoepitopes, that induced T cell responses ex vivo. This study shows that nivo+ipi has limited efficacy in ACC, albeit with infrequent, exceptional responses, and that it could be promising for non-ACC SGCs, particularly salivary duct carcinomas. ClinicalTrials.gov identifier: NCT03172624 .
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Affiliation(s)
- Joris L Vos
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bharat Burman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Swati Jain
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Conall W R Fitzgerald
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Eric J Sherman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lara A Dunn
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - James V Fetten
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Loren S Michel
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anuja Kriplani
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kenneth K Ng
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Juliana Eng
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Vatche Tchekmedyian
- Department of Medicine, Maine Medical Center-Tufts University School of Medicine, Portland, ME, USA
| | - Sofia Haque
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nora Katabi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fengshen Kuo
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Catherine Y Han
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zaineb Nadeem
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wei Yang
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Vladimir Makarov
- Center for Immunotherapy and Precision Immuno-oncology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Raghvendra M Srivastava
- Center for Immunotherapy and Precision Immuno-oncology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Irina Ostrovnaya
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Manu Prasad
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charlotte L Zuur
- Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Department of Otorhinolaryngology Head and Neck Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Nadeem Riaz
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David G Pfister
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christopher A Klebanoff
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Timothy A Chan
- Center for Immunotherapy and Precision Immuno-oncology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Alan L Ho
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Luc G T Morris
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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29
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Buhler S, Sollet ZC, Bettens F, Schäfer A, Ansari M, Ferrari-Lacraz S, Villard J. HLA variants and TCR diversity against SARS-CoV-2 in the pre-COVID-19 era. HLA 2023; 102:720-730. [PMID: 37461808 DOI: 10.1111/tan.15158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 07/03/2023] [Accepted: 07/06/2023] [Indexed: 11/11/2023]
Abstract
HLA antigen presentation and T-cell mediated immunity are critical to control acute viral infection such as COVID-19 caused by SARS-CoV-2. Recent data suggest that both the depth of peptide presentation and the breadth of the T-cell repertoire are associated with disease outcome. It has also been shown that unexposed subjects can develop strong T-cell responses against SARS-CoV-2 due to heterologous immunity. In this study, we explored the anti-SARS-CoV-2 T-cell repertoire by analyzing previously published T-cell receptor (TCR) CDR3β immunosequencing data in a cohort of 116 healthy donors and in the context of immune reconstitution after allogeneic hematopoietic stem cell transplantation in 116 recipients collected during the pre-COVID-19 era. For this, 143,310 publicly available SARS-CoV-2 specific T-cell sequences were investigated among the 3.5 million clonotypes in the cohort. We also performed HLA class I peptide binding predictions using the reference proteome of the virus and high resolution genotyping data in these patients. We could demonstrate that individuals are fully equipped at the genetic level to recognize SARS-CoV-2. This is evidenced by the 5% median cumulative frequency of clonotypes having their sequence matched to a SARS-CoV-2 specific T-cell. In addition, any combination of HLA class I variants in this cohort is associated with a broad capacity of presenting hundreds of SARS-CoV-2 derived peptides. These results could be explained by heterologous immunity and random somatic TCR recombination. We speculate that these observations could explain the efficacy of the specific immune response against SARS-CoV-2 in individuals without risk factors of immunodeficiency and infected prior to vaccination.
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Affiliation(s)
- Stéphane Buhler
- Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Department of Diagnostic, Geneva University Hospitals, Geneva, Switzerland
| | - Zuleika Calderin Sollet
- Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Department of Diagnostic, Geneva University Hospitals, Geneva, Switzerland
| | - Florence Bettens
- Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Department of Diagnostic, Geneva University Hospitals, Geneva, Switzerland
| | - Antonia Schäfer
- Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Department of Diagnostic, Geneva University Hospitals, Geneva, Switzerland
| | - Marc Ansari
- CANSEARCH Research Platform for Pediatric Oncology and Hematology, Faculty of Medicine, Department of Pediatrics, Gynecology and Obstetrics, University of Geneva, Geneva, Switzerland
- Division of Pediatric Oncology and Hematology, Department of Women, Child and Adolescent, University Geneva Hospitals, Geneva, Switzerland
| | - Sylvie Ferrari-Lacraz
- Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Department of Diagnostic, Geneva University Hospitals, Geneva, Switzerland
| | - Jean Villard
- Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Department of Diagnostic, Geneva University Hospitals, Geneva, Switzerland
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30
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Jiang T, Jin Q, Wang J, Wu F, Chen J, Chen G, Huang Y, Chen J, Cheng Y, Wang Q, Pan Y, Zhou J, Shi J, Xu X, Lin L, Zhang W, Zhang Y, Liu Y, Fang Y, Feng J, Wang Z, Hu S, Fang J, Shu Y, Cui J, Hu Y, Yao W, Li X, Lin X, Wang R, Wang Y, Shi W, Feng G, Ni J, Mao B, Ren D, Sun H, Zhang H, Chen L, Zhou C, Ren S. HLA-I Evolutionary Divergence Confers Response to PD-1 Blockade plus Chemotherapy in Untreated Advanced Non-Small Cell Lung Cancer. Clin Cancer Res 2023; 29:4830-4843. [PMID: 37449971 DOI: 10.1158/1078-0432.ccr-23-0604] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 04/13/2023] [Accepted: 07/11/2023] [Indexed: 07/18/2023]
Abstract
PURPOSE PD-1 blockade plus chemotherapy has become the new standard of care in patients with untreated advanced non-small cell lung cancer (NSCLC), whereas predictive biomarkers remain undetermined. EXPERIMENTAL DESIGN We integrated clinical, genomic, and survival data of 427 NSCLC patients treated with first-line PD-1 blockade plus chemotherapy or chemotherapy from two phase III trials (CameL and CameL-sq) and investigated the predictive and prognostic value of HLA class I evolutionary divergence (HED). RESULTS High HED could predict significantly improved objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) in those who received PD-1 blockade plus chemotherapy [in the CameL trial, ORR: 81.8% vs. 53.2%; P = 0.032; PFS: hazard ratio (HR), 0.47; P = 0.012; OS: HR, 0.40; P = 0.014; in the CameL-sq trial, ORR: 89.2% vs. 62.3%; P = 0.007; PFS: HR, 0.49; P = 0.005; OS: HR, 0.38; P = 0.002], but not chemotherapy. In multivariate analysis adjusted for PD-L1 expression and tumor mutation burden, high HED was independently associated with markedly better ORR, PFS, and OS in both trials. Moreover, the joint utility of HED and PD-L1 expression showed better performance than either alone in predicting treatment benefit from PD-1 blockade plus chemotherapy. Single-cell RNA sequencing of 58,977 cells collected from 11 patients revealed that tumors with high HED had improved antigen presentation and T cell-mediated antitumor immunity, indicating an inflamed tumor microenvironment phenotype. CONCLUSIONS These findings suggest that high HED could portend survival benefit in advanced NSCLC treated with first-line PD-1 blockade plus chemotherapy. See related commentary by Dimou, p. 4706.
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Affiliation(s)
- Tao Jiang
- Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Qiqi Jin
- State Key Laboratory of Cell Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jiahao Wang
- State Key Laboratory of Cell Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fengying Wu
- Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Jian Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Gongyan Chen
- First Ward of Respiratory Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - Yunchao Huang
- Department of Thoracic Surgery, Yunnan Cancer Hospital and the Third Affiliated Hospital of Kunming Medical University and Yunnan Cancer Center, Kunming, China
| | - Jianhua Chen
- Department of Medical Oncology-Chest (1), Hunan Cancer Hospital, Changsha, China
| | - Ying Cheng
- Department of Medical Oncology, Jilin Cancer Hospital, Changchun, China
| | - QiMing Wang
- Department of Oncology, Henan Cancer Hospital, Zhengzhou, China
| | - Yueyin Pan
- Department of Chemotherapy Oncology, Anhui Provincial Hospital, Hefei, China
| | - Jianying Zhou
- Respiratory Medicine, The First Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Jianhua Shi
- Internal Medicine Ward 2, Linyi Cancer Hospital, Linyi, China
| | - Xingxiang Xu
- Respiratory Department, The Northern Jiangsu People's Hospital, Yangzhou, China
| | - LiZhu Lin
- Oncology Center, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wei Zhang
- Department of Respiratory Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yiping Zhang
- Department of Thoracic Oncology, Zhejiang Cancer Hospital, Hangzhou, China
| | - Yunpeng Liu
- Department of Medical Oncology, The First Hospital of China, Medical University, Shenyang, China
| | - Yong Fang
- Department of Medical Oncology, Sir Run Run Shaw Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Jifeng Feng
- Department of Thoracic Medical Oncology, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Zhehai Wang
- Department of Respiratory, Shandong Cancer Hospital and Institute, Jinan, China
| | - Sheng Hu
- Department of Thoracic Oncology, Hubei Cancer Hospital, Wuhan, China
| | - Jian Fang
- The Second Department of Thoracic Oncology, Beijing Cancer Hospital, Beijing, China
| | - Yongqian Shu
- Department of Oncology, Jiangsu Province Hospital, Nanjing, China
| | - Jiuwei Cui
- Department of Medical Oncology, The First Bethune Hospital of Jilin University, Changchun, China
| | - Yi Hu
- Oncology Department, General Hospital of Chinese People's Liberation Army, Beijing, China
| | - Wenxiu Yao
- Department of Thoracic Oncology, Sichuan Provincial Cancer Hospital, Chengdu, China
| | - Xingya Li
- Department of Medical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoyan Lin
- Department of Oncology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Rui Wang
- Department of Medical Oncology, Anhui Chest Hospital, Hefei, China
| | - Yongsheng Wang
- Department of Thoracic Medical Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Shi
- Clinical Research and Development, Jiangsu Hengrui Pharmaceuticals, China
| | - Gaohua Feng
- Department of Pulmonary and Critical Care Medicine, Zhangjiagang Hospital of Traditional Chinese Medicine, Suzhou, China
| | - Jun Ni
- Department of Pulmonary and Critical Care Medicine, Zhangjiagang Hospital of Traditional Chinese Medicine, Suzhou, China
| | - Beibei Mao
- Genecast Biotechnology Co., Ltd, Jiangsu Province, China
| | - Dandan Ren
- Genecast Biotechnology Co., Ltd, Jiangsu Province, China
| | - Huaibo Sun
- Genecast Biotechnology Co., Ltd, Jiangsu Province, China
| | - Henghui Zhang
- Genecast Biotechnology Co., Ltd, Jiangsu Province, China
- Biomedical Innovation Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; School of Oncology, Capital Medical University, Beijing, China
| | - Luonan Chen
- Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
- State Key Laboratory of Cell Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China
| | - Caicun Zhou
- Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Shengxiang Ren
- Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
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Levi R, Levi L, Louzoun Y. Bw4 ligand and direct T-cell receptor binding induced selection on HLA A and B alleles. Front Immunol 2023; 14:1236080. [PMID: 38077375 PMCID: PMC10703150 DOI: 10.3389/fimmu.2023.1236080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 10/26/2023] [Indexed: 12/18/2023] Open
Abstract
Introduction The HLA region is the hallmark of balancing selection, argued to be driven by the pressure to present a wide variety of viral epitopes. As such selection on the peptide-binding positions has been proposed to drive HLA population genetics. MHC molecules also directly binds to the T-Cell Receptor and killer cell immunoglobulin-like receptors (KIR). Methods We here combine the HLA allele frequencies in over six-million Hematopoietic Stem Cells (HSC) donors with a novel machine-learning-based method to predict allele frequency. Results We show for the first time that allele frequency can be predicted from their sequences. This prediction yields a natural measure for selection. The strongest selection is affecting KIR binding regions, followed by the peptide-binding cleft. The selection from the direct interaction with the KIR and TCR is centered on positively charged residues (mainly Arginine), and some positions in the peptide-binding cleft are not associated with the allele frequency, especially Tyrosine residues. Discussion These results suggest that the balancing selection for peptide presentation is combined with a positive selection for KIR and TCR binding.
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Affiliation(s)
| | | | - Yoram Louzoun
- Department of Mathematics, Bar-Ilan University, Ramat Gan, Israel
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32
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Ivanova M, Ormandjieva A, Dodova R, Kaneva R, Shivarov V. Possible impact of HLA class I and class II on malignancies driven by a single germ-line BRCA1 mutation. Int J Immunogenet 2023; 50:243-248. [PMID: 37505908 DOI: 10.1111/iji.12631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 07/13/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023]
Abstract
This study provides the first immunogenetic preliminary evidence that specific human leucocyte antigen (HLA) class I and class II alleles and haplotypes may be relevant for BRCA1 c.5263_5264insC driven oncogenesis. Observed HLA associations might have practical implications for establishment of predictive markers for the response to immunotherapies in malignancies driven by this germ-line mutation.
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Affiliation(s)
- Milena Ivanova
- Department of Clinical Immunology, University Hospital Alexandrovska, Medical University Sofia, Sofia, Bulgaria
| | - Anastasia Ormandjieva
- Department of Clinical Immunology, University Hospital Alexandrovska, Medical University Sofia, Sofia, Bulgaria
| | - Rumyana Dodova
- Center for Molecular Medicine, Department of Medical Chemistry and Biochemistry, Medical Faculty, Medical University Sofia, Sofia, Bulgaria
| | - Radka Kaneva
- Center for Molecular Medicine, Department of Medical Chemistry and Biochemistry, Medical Faculty, Medical University Sofia, Sofia, Bulgaria
| | - Velizar Shivarov
- Department of Experimental Research, Medical University Pleven, Pleven, Bulgaria
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33
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Sakaue S, Gurajala S, Curtis M, Luo Y, Choi W, Ishigaki K, Kang JB, Rumker L, Deutsch AJ, Schönherr S, Forer L, LeFaive J, Fuchsberger C, Han B, Lenz TL, de Bakker PIW, Okada Y, Smith AV, Raychaudhuri S. Tutorial: a statistical genetics guide to identifying HLA alleles driving complex disease. Nat Protoc 2023; 18:2625-2641. [PMID: 37495751 PMCID: PMC10786448 DOI: 10.1038/s41596-023-00853-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 04/27/2023] [Indexed: 07/28/2023]
Abstract
The human leukocyte antigen (HLA) locus is associated with more complex diseases than any other locus in the human genome. In many diseases, HLA explains more heritability than all other known loci combined. In silico HLA imputation methods enable rapid and accurate estimation of HLA alleles in the millions of individuals that are already genotyped on microarrays. HLA imputation has been used to define causal variation in autoimmune diseases, such as type I diabetes, and in human immunodeficiency virus infection control. However, there are few guidelines on performing HLA imputation, association testing, and fine mapping. Here, we present a comprehensive tutorial to impute HLA alleles from genotype data. We provide detailed guidance on performing standard quality control measures for input genotyping data and describe options to impute HLA alleles and amino acids either locally or using the web-based Michigan Imputation Server, which hosts a multi-ancestry HLA imputation reference panel. We also offer best practice recommendations to conduct association tests to define the alleles, amino acids, and haplotypes that affect human traits. Along with the pipeline, we provide a step-by-step online guide with scripts and available software ( https://github.com/immunogenomics/HLA_analyses_tutorial ). This tutorial will be broadly applicable to large-scale genotyping data and will contribute to defining the role of HLA in human diseases across global populations.
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Affiliation(s)
- Saori Sakaue
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saisriram Gurajala
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michelle Curtis
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yang Luo
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Wanson Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
| | - Kazuyoshi Ishigaki
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Laboratory for Human Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Joyce B Kang
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Laurie Rumker
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Aaron J Deutsch
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Program in Metabolism, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Jonathon LeFaive
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Christian Fuchsberger
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Institute for Biomedicine, Eurac Research, Bolzano, Italy
| | - Buhm Han
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, South Korea
| | - Tobias L Lenz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany
| | - Paul I W de Bakker
- Data and Computational Sciences, Vertex Pharmaceuticals, Boston, MA, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Albert V Smith
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Centre for Genetics and Genomics Versus Arthritis, University of Manchester, Manchester, UK.
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Kalomoiri M, Prakash CR, Lagström S, Hauschulz K, Ewing E, Shchetynsky K, Kular L, Needhamsen M, Jagodic M. Simultaneous detection of DNA variation and methylation at HLA class II locus and immune gene promoters using targeted SureSelect Methyl-Sequencing. Front Immunol 2023; 14:1251772. [PMID: 37691926 PMCID: PMC10484099 DOI: 10.3389/fimmu.2023.1251772] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 08/02/2023] [Indexed: 09/12/2023] Open
Abstract
The Human Leukocyte Antigen (HLA) locus associates with a variety of complex diseases, particularly autoimmune and inflammatory conditions. The HLA-DR15 haplotype, for example, confers the major risk for developing Multiple Sclerosis in Caucasians, pinpointing an important role in the etiology of this chronic inflammatory disease of the central nervous system. In addition to the protein-coding variants that shape the functional HLA-antigen-T cell interaction, recent studies suggest that the levels of HLA molecule expression, that are epigenetically controlled, also play a role in disease development. However, deciphering the exact molecular mechanisms of the HLA association has been hampered by the tremendous genetic complexity of the locus and a lack of robust approaches to investigate it. Here, we developed a method to specifically enrich the genomic DNA from the HLA class II locus (chr6:32,426,802-34,167,129) and proximal promoters of 2,157 immune-relevant genes, utilizing the Agilent RNA-based SureSelect Methyl-Seq Capture related method, followed by sequencing to detect genetic and epigenetic variation. We demonstrated successful simultaneous detection of the genetic variation and quantification of DNA methylation levels in HLA locus. Moreover, by the detection of differentially methylated positions in promoters of immune-related genes, we identified relevant pathways following stimulation of cells. Taken together, we present a method that can be utilized to study the interplay between genetic variance and epigenetic regulation in the HLA class II region, potentially, in a wide disease context.
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Affiliation(s)
- Maria Kalomoiri
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Chandana Rao Prakash
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Sonja Lagström
- Diagnostics and Genomics Group, Agilent Technologies Sweden AB, Sundbyberg, Sweden
| | - Kai Hauschulz
- Diagnostics and Genomics Group, Agilent Technologies Deutschland GmbH, Waldbronn, Germany
| | - Ewoud Ewing
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Klementy Shchetynsky
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Lara Kular
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Maria Needhamsen
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Maja Jagodic
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
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Winternitz J, Chakarov N, Rinaud T, Ottensmann M, Krüger O. High functional allelic diversity and copy number in both MHC classes in the common buzzard. BMC Ecol Evol 2023; 23:24. [PMID: 37355591 PMCID: PMC10290333 DOI: 10.1186/s12862-023-02135-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 06/12/2023] [Indexed: 06/26/2023] Open
Abstract
BACKGROUND The major histocompatibility complex (MHC), which encodes molecules that recognize various pathogens and parasites and initiates the adaptive immune response in vertebrates, is renowned for its exceptional polymorphism and is a model of adaptive gene evolution. In birds, the number of MHC genes and sequence diversity varies greatly among taxa, believed due to evolutionary history and differential selection pressures. Earlier characterization studies and recent comparative studies suggest that non-passerine species have relatively few MHC gene copies compared to passerines. Additionally, comparative studies that have looked at partial MHC sequences have speculated that non-passerines have opposite patterns of selection on MHC class I (MHC-I) and class II (MHC-II) loci than passerines: namely, greater sequence diversity and signals of selection on MHC-II than MHC-I. However, new sequencing technology is revealing much greater MHC variation than previously expected while also facilitating full sequence variant detection directly from genomic data. Our study aims to take advantage of high-throughput sequencing methods to fully characterize both classes and domains of MHC of a non-passerine bird of prey, the common buzzard (Buteo buteo), to test predictions of MHC variation and differential selection on MHC classes. RESULTS Using genetic, genomic, and transcriptomic high-throughput sequencing data, we established common buzzards have at least three loci that produce functional alleles at both MHC classes. In total, we characterize 91 alleles from 113 common buzzard chicks for MHC-I exon 3 and 41 alleles from 125 chicks for MHC-IIB exon 2. Among these alleles, we found greater sequence polymorphism and stronger diversifying selection at MHC-IIB exon 2 than MHC-I exon 3, suggesting differential selection pressures on MHC classes. However, upon further investigation of the entire peptide-binding groove by including genomic data from MHC-I exon 2 and MHC-IIA exon 2, this turned out to be false. MHC-I exon 2 was as polymorphic as MHC-IIB exon 2 and MHC-IIA exon 2 was essentially invariant. Thus, comparisons between MHC-I and MHC-II that included both domains of the peptide-binding groove showed no differences in polymorphism nor diversifying selection between the classes. Nevertheless, selection analysis indicates balancing selection has been acting on common buzzard MHC and phylogenetic inference revealed that trans-species polymorphism is present between common buzzards and species separated for over 33 million years for class I and class II. CONCLUSIONS We characterize and confirm the functionality of unexpectedly high copy number and allelic diversity in both MHC classes of a bird of prey. While balancing selection is acting on both classes, there is no evidence of differential selection pressure on MHC classes in common buzzards and this result may hold more generally once more data for understudied MHC exons becomes available.
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Affiliation(s)
- Jamie Winternitz
- Department of Animal Behaviour, Bielefeld University, Morgenbreede 45, 33615 Bielefeld, Germany
| | - Nayden Chakarov
- Department of Animal Behaviour, Bielefeld University, Morgenbreede 45, 33615 Bielefeld, Germany
| | - Tony Rinaud
- Department of Animal Behaviour, Bielefeld University, Morgenbreede 45, 33615 Bielefeld, Germany
| | - Meinolf Ottensmann
- Department of Animal Behaviour, Bielefeld University, Morgenbreede 45, 33615 Bielefeld, Germany
| | - Oliver Krüger
- Department of Animal Behaviour, Bielefeld University, Morgenbreede 45, 33615 Bielefeld, Germany
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36
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Palmer WH, Norman PJ. The impact of HLA polymorphism on herpesvirus infection and disease. Immunogenetics 2023; 75:231-247. [PMID: 36595060 PMCID: PMC10205880 DOI: 10.1007/s00251-022-01288-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 11/24/2022] [Indexed: 01/04/2023]
Abstract
Human Leukocyte Antigens (HLA) are cell surface molecules, central in coordinating innate and adaptive immune responses, that are targets of strong diversifying natural selection by pathogens. Of these pathogens, human herpesviruses have a uniquely ancient relationship with our species, where coevolution likely has reciprocating impact on HLA and viral genomic diversity. Consistent with this notion, genetic variation at multiple HLA loci is strongly associated with modulating immunity to herpesvirus infection. Here, we synthesize published genetic associations of HLA with herpesvirus infection and disease, both from case/control and genome-wide association studies. We analyze genetic associations across the eight human herpesviruses and identify HLA alleles that are associated with diverse herpesvirus-related phenotypes. We find that whereas most HLA genetic associations are virus- or disease-specific, HLA-A*01 and HLA-A*02 allotypes may be more generally associated with immune susceptibility and control, respectively, across multiple herpesviruses. Connecting genetic association data with functional corroboration, we discuss mechanisms by which diverse HLA and cognate receptor allotypes direct variable immune responses during herpesvirus infection and pathogenesis. Together, this review examines the complexity of HLA-herpesvirus interactions driven by differential T cell and Natural Killer cell immune responses.
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Affiliation(s)
- William H. Palmer
- Department of Biomedical Informatics, University of Colorado, Aurora, CO USA
- Department of Immunology & Microbiology, University of Colorado, Aurora, CO USA
| | - Paul J. Norman
- Department of Biomedical Informatics, University of Colorado, Aurora, CO USA
- Department of Immunology & Microbiology, University of Colorado, Aurora, CO USA
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37
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Pagliuca S, Gurnari C, Hercus C, Hergalant S, Hong S, Dhuyser A, D'Aveni M, Aarnink A, Rubio MT, Feugier P, Ferraro F, Carraway HE, Sobecks R, Hamilton BK, Majhail NS, Visconte V, Maciejewski JP. Leukemia relapse via genetic immune escape after allogeneic hematopoietic cell transplantation. Nat Commun 2023; 14:3153. [PMID: 37258544 PMCID: PMC10232425 DOI: 10.1038/s41467-023-38113-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 04/13/2023] [Indexed: 06/02/2023] Open
Abstract
Graft-versus-leukemia (GvL) reactions are responsible for the effectiveness of allogeneic hematopoietic cell transplantation as a treatment modality for myeloid neoplasia, whereby donor T- effector cells recognize leukemia neoantigens. However, a substantial fraction of patients experiences relapses because of the failure of the immunological responses to control leukemic outgrowth. Here, through a broad immunogenetic study, we demonstrate that germline and somatic reduction of human leucocyte antigen (HLA) heterogeneity enhances the risk of leukemic recurrence. We show that preexistent germline-encoded low evolutionary divergence of class II HLA genotypes constitutes an independent factor associated with disease relapse and that acquisition of clonal somatic defects in HLA alleles may lead to escape from GvL control. Both class I and II HLA genes are targeted by somatic mutations as clonal selection factors potentially impairing cellular immune responses and response to immunomodulatory strategies. These findings define key molecular modes of post-transplant leukemia escape contributing to relapse.
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Affiliation(s)
- Simona Pagliuca
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Hematology, CHRU de Nancy, Vandœuvre-lès-Nancy, France
- CNRS UMR 7365, IMoPA, Biopole of University of Lorraine, Vandœuvre-lès-Nancy, France
| | - Carmelo Gurnari
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Biomedicine and Prevention, PhD in Immunology, Molecular Medicine and Applied Biotechnology, University of Rome Tor Vergata, Rome, Italy
| | - Colin Hercus
- Novocraft Technologies Sdn Bhd, Kuala Lumpur, Malaysia
| | - Sébastien Hergalant
- Inserm UMR-S 1256 Nutrition-Genetics-Environmental Risk Exposure, University of Lorraine, 54500, Vandœuvre-lès-Nancy, France
| | - Sanghee Hong
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Adele Dhuyser
- CNRS UMR 7365, IMoPA, Biopole of University of Lorraine, Vandœuvre-lès-Nancy, France
- Histocompatibility Department, CHRU de Nancy, Vandœuvre-lès-Nancy, France
| | - Maud D'Aveni
- Department of Hematology, CHRU de Nancy, Vandœuvre-lès-Nancy, France
- CNRS UMR 7365, IMoPA, Biopole of University of Lorraine, Vandœuvre-lès-Nancy, France
| | - Alice Aarnink
- CNRS UMR 7365, IMoPA, Biopole of University of Lorraine, Vandœuvre-lès-Nancy, France
- Histocompatibility Department, CHRU de Nancy, Vandœuvre-lès-Nancy, France
| | - Marie Thérèse Rubio
- Department of Hematology, CHRU de Nancy, Vandœuvre-lès-Nancy, France
- CNRS UMR 7365, IMoPA, Biopole of University of Lorraine, Vandœuvre-lès-Nancy, France
| | - Pierre Feugier
- Department of Hematology, CHRU de Nancy, Vandœuvre-lès-Nancy, France
| | - Francesca Ferraro
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Hetty E Carraway
- Leukemia Program, Hematology Department, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ronald Sobecks
- Blood and Marrow Transplant Program, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Betty K Hamilton
- Blood and Marrow Transplant Program, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Navneet S Majhail
- Sarah Cannon Transplant and Cellular Therapy Network, Nashville, TN, USA
| | - Valeria Visconte
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jaroslaw P Maciejewski
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
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Villemonteix J, Allain V, Verstraete E, Jorge-Cordeiro D, Socié G, Xhaard A, Feray C, Caillat-Zucman S. HLA-DP diversity is associated with improved response to SARS-Cov-2 vaccine in hematopoietic stem cell transplant recipients. iScience 2023; 26:106763. [PMID: 37168557 PMCID: PMC10132830 DOI: 10.1016/j.isci.2023.106763] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 01/26/2023] [Accepted: 04/24/2023] [Indexed: 05/13/2023] Open
Abstract
Allogeneic hematopoietic stem cell transplantation (allo-HSCT) recipients show lower humoral vaccine responsiveness than immunocompetent individuals. HLA diversity, measured by the HLA evolutionary divergence (HED) metrics, reflects the diversity of the antigenic repertoire presented to T cells, and has been shown to predict response to cancer immunotherapy. We retrospectively investigated the association of HED with humoral response to SARS-CoV-2 vaccine in allo-HSCT recipients. HED was calculated as pairwise genetic distance between alleles at HLA-A, -B, -C, -DRB1, -DQB1, and -DPB1 loci in recipients and their donors. Low anti-spike IgG levels (<30 BAU/mL) were associated with short time from allo-SCT and low donor DPB1-HED, mostly related to donor DPB1 homozygosity. The diversity of donor HLA-DP molecules, assessed by heterozygosity or sequence divergence, may thus impact the efficacy of donor-derived CD4 T cells to sustain vaccine-mediated antibody response in allo-HSCT recipients.
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Affiliation(s)
- Juliette Villemonteix
- Laboratoire d'Immunologie, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Cité, 75010 Paris, France
| | - Vincent Allain
- Laboratoire d'Immunologie, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Cité, 75010 Paris, France
- INSERM UMR 976, Université Paris Cité, Institut de Recherche Saint-Louis (IRSL), 75010 Paris, France
| | - Emma Verstraete
- Service d'hématologie-greffe, Hôpital Saint-Louis, AP-HP, Université Paris Cité, 75010 Paris, France
| | - Debora Jorge-Cordeiro
- Laboratoire d'Immunologie, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Cité, 75010 Paris, France
| | - Gérard Socié
- INSERM UMR 976, Université Paris Cité, Institut de Recherche Saint-Louis (IRSL), 75010 Paris, France
- Service d'hématologie-greffe, Hôpital Saint-Louis, AP-HP, Université Paris Cité, 75010 Paris, France
| | - Alienor Xhaard
- Service d'hématologie-greffe, Hôpital Saint-Louis, AP-HP, Université Paris Cité, 75010 Paris, France
| | - Cyrille Feray
- Centre Hépato-Biliaire, Hôpital Paul-Brousse, AP-HP, Université Paris-Saclay, FHU Hepatinov, 94800 Villejuif, France
- Institut National de la santé et de la recherche médicale (INSERM) UMR-S 1193, 94800 Villejuif, France
| | - Sophie Caillat-Zucman
- Laboratoire d'Immunologie, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Cité, 75010 Paris, France
- INSERM UMR 976, Université Paris Cité, Institut de Recherche Saint-Louis (IRSL), 75010 Paris, France
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Wang QL, Wang TM, Deng CM, Zhang WL, He YQ, Xue WQ, Liao Y, Yang DW, Zheng MQ, Jia WH. Association of HLA diversity with the risk of 25 cancers in the UK Biobank. EBioMedicine 2023; 92:104588. [PMID: 37148584 DOI: 10.1016/j.ebiom.2023.104588] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 03/17/2023] [Accepted: 04/11/2023] [Indexed: 05/08/2023] Open
Abstract
BACKGROUND The human leukocyte antigen (HLA) is a highly polymorphic region, and HLA diversity may play a role in presenting tumour-associated peptides and inducing immune responses. However, the effect of HLA diversity on cancers has not been fully assessed. We aimed to explore the role of HLA diversity on cancer development. METHODS A pan-cancer analysis was performed to evaluate the effect of HLA diversity, measured by HLA heterozygosity and HLA evolutionary divergence (HED), on the susceptibility of 25 cancers in the UK Biobank. FINDINGS We observed that the diversity of HLA class II locus was associated with a lower risk of lung cancer (ORhetero = 0.94, 95% CI = 0.90-0.97, P = 1.29 × 10-4) and head and neck cancer (ORhetero = 0.91, 95% CI = 0.86-0.96, P = 1.56 × 10-3). Besides, a lower risk of non-Hodgkin lymphoma was associated with an increased diversity of HLA class I (ORhetero = 0.92, 95% CI = 0.87-0.98, P = 8.38 × 10-3) and class II locus (ORhetero = 0.89, 95% CI = 0.86-0.92, P = 1.65 × 10-10). A lower risk of Hodgkin lymphoma was associated with the HLA class I diversity (ORhetero = 0.85, 95% CI = 0.75-0.96, P = 0.011). The protective effect of HLA diversity was mainly observed in pathological subtypes with higher tumour mutation burden, such as lung squamous cell carcinoma (P = 9.39 × 10-3) and diffuse large B cell lymphoma (Pclass I = 4.12 × 10-4; Pclass Ⅱ = 4.71 × 10-5), as well as the smoking subgroups of lung cancer (P = 7.45 × 10-5) and head and neck cancer (P = 4.55 × 10-3). INTERPRETATION We provided a systematic insight into the effect of HLA diversity on cancers, which might help to understand the etiological role of HLA on cancer development. FUNDING This study was supported by grants from the National Natural Science Foundation of China (82273705, 82003520); the Basic and Applied Basic Research Foundation of Guangdong Province, China (2021B1515420007); the Science and Technology Planning Project of Guangzhou, China (201804020094); Sino-Sweden Joint Research Programme (81861138006); the National Natural Science Foundation of China (81973131, 81903395, 81803319, 81802708).
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Affiliation(s)
- Qiao-Ling Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China; School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Tong-Min Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
| | - Chang-Mi Deng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wen-Li Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yong-Qiao He
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wen-Qiong Xue
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ying Liao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Da-Wei Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China; School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Mei-Qi Zheng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China; School of Public Health, Sun Yat-sen University, Guangzhou, China.
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40
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Merli P, Crivello P, Strocchio L, Pinto RM, Algeri M, Del Bufalo F, Pagliara D, Becilli M, Carta R, Gaspari S, Galaverna F, Quagliarella F, Boz G, Catanoso ML, Boccieri E, Troiano M, Fleischhauer K, Andreani M, Locatelli F. Human leukocyte antigen evolutionary divergence influences outcomes of paediatric patients and young adults affected by malignant disorders given allogeneic haematopoietic stem cell transplantation from unrelated donors. Br J Haematol 2023; 200:622-632. [PMID: 36385618 DOI: 10.1111/bjh.18561] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 10/29/2022] [Accepted: 10/31/2022] [Indexed: 11/18/2022]
Abstract
High genetic heterogeneity in the human leukocyte antigen (HLA) increases the likelihood of efficient immune response to pathogens and tumours. As measure of HLA diversity, HLA evolutionary divergence (HED) has been shown to predict the response of tumours to immunotherapy and haematopoietic stem cell transplantation (HSCT) in adults. We retrospectively investigated the association of HED with outcomes of 153 paediatric/young adults patients, treated for malignant disorders with HSCT from 9-10/10 HLA-matched unrelated donors. HED was calculated as pairwise genetic distance between alleles in patient HLA-A, -B, -C, -DRB1, -DQB1 and -DPB1, using the locus median to stratify patients with 'high' or 'low' HED. Patients with high HED-B and -DRB1 showed significantly improved disease-free survival (DFS), especially when combined (70.8% vs 53.7% p = 0.008). High HED-B + -DRB1 was also associated with improved overall survival (OS) (82.1 vs 66.4% p = 0.014), and concomitant reduction of non-relapse-mortality (5.1% vs 21.1% p = 0.006). The impact on OS and DFS of combined HED-B + -DRB1 was confirmed in multivariate analysis [hazard ratio (HR) 0.39, p = 0.009; and HR 0.45, p = 0.007 respectively]. Only high HED scores for HLA-DPB1 were associated, in univariate analysis, with reduced incidence of relapse (15.9% vs 31.1%, p = 0.03). These results support HED as prognostic marker in allogeneic HSCT and, if confirmed in larger cohorts, would allow its use to inform clinical risk and potentially influence clinical practice.
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Affiliation(s)
- Pietro Merli
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Pietro Crivello
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany
| | - Luisa Strocchio
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Rita Maria Pinto
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Mattia Algeri
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Francesca Del Bufalo
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Daria Pagliara
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Marco Becilli
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Roberto Carta
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Stefania Gaspari
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Federica Galaverna
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Francesco Quagliarella
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Giulia Boz
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Maria Luigia Catanoso
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Emilia Boccieri
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Maria Troiano
- Laboratory of Transplant Immunogenetics, Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Katharina Fleischhauer
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany.,German Cancer Consortium, Partner Site Essen/Düsseldorf, Heidelberg, Germany
| | - Marco Andreani
- Laboratory of Transplant Immunogenetics, Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Franco Locatelli
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.,Catholic University of the Sacred Heart, Department of Life Sciences and Public Health, Rome, Italy
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41
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Kessler C, Wootton E, Shafer ABA. Speciation without gene-flow in hybridizing deer. Mol Ecol 2023; 32:1117-1132. [PMID: 36516402 DOI: 10.1111/mec.16824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 12/01/2022] [Accepted: 12/05/2022] [Indexed: 12/15/2022]
Abstract
Under the ecological speciation model, divergent selection acts on ecological differences between populations, gradually creating barriers to gene flow and ultimately leading to reproductive isolation. Hybridisation is part of this continuum and can both promote and inhibit the speciation process. Here, we used white-tailed (Odocoileus virginianus) and mule deer (O. hemionus) to investigate patterns of speciation in hybridizing sister species. We quantified genome-wide historical introgression and performed genome scans to look for signatures of four different selection scenarios. Despite ample modern evidence of hybridisation, we found negligible patterns of ancestral introgression and no signatures of divergence with gene flow, rather localized patterns of allopatric and balancing selection were detected across the genome. Genes under balancing selection were related to immunity, MHC and sensory perception of smell, the latter of which is consistent with deer biology. The deficiency of historical gene-flow suggests that white-tailed and mule deer were spatially separated during the glaciation cycles of the Pleistocene and genome wide differentiation accrued via genetic drift. Dobzhansky-Muller incompatibilities and selection against hybrids are hypothesised to be acting, and diversity correlations to recombination rates suggests these sister species are far along the speciation continuum.
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Affiliation(s)
- Camille Kessler
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
| | - Eric Wootton
- Biochemistry & Molecular Biology, Trent University, Peterborough, Ontario, Canada
| | - Aaron B A Shafer
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
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42
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The relevance of HLA class II genes in JAK2 V617F-positive myeloproliferative neoplasms. Hum Immunol 2023; 84:199-207. [PMID: 36707384 DOI: 10.1016/j.humimm.2023.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 12/29/2022] [Accepted: 01/17/2023] [Indexed: 01/27/2023]
Abstract
In the present study we analyzed the relevance of HLA class II in JAK2 V617F-positive (JAK2 V617F+) myeloproliferative neoplasms (MPNs) focusing on genotype diversity, associations with specific alleles and haplotypes and the level of gene expression. One hundred and thirty-nine JAK2 V617F+ MPN patients and 1083 healthy controls, typed by Next generation sequencing (NGS) were included in the study. Multivariate generalized linear models with age as a covariate were applied for analysis of HLA-II allele and haplotype associations. Publicly available gene expression datasets were used to analyze HLA-II pathway genes expression in CD34+ stem cells (SCs) from MPN patients and healthy controls. We did not observe differences in HLA evolutionary divergence (HED) between JAK2 V617F+ MPNs and healthy controls. Two alleles: HLA-DPB1*03:01, DQB1*04:02 and 4 haplotypes: DPB1*02:01-DQA1*05:05-DQB1*03:01-DRB1*11:01, DPB1*04:02-DQA1*05:05-DQB1*03:01-DRB1*11:03, DPB1*02:01-DQA1*01:04-DQB1*05:03-DRB1*14:04, and DPB1*04:01-DQA1*03:01-DQB1*03:02-DRB1*04:01 had significantly lower frequency in MPN patients compared to controls. Additionally, we observed HLA-II alleles and haplotypes with statistically higher frequencies in JAK2 V617F+ patients. Differential gene expression analysis showed down-regulation of HLA-DRB1, -DRA, -DMA, -DMB, -DOA,-DRB4, CIITA, and CD74 genes in JAK2 V617F+ MPN CD34+ SCs as compared to normal CD34 + SCs. In conclusion, this study provides evidence for the pleiotropic effects of HLA-II genes in JAK2 V617F-driven MPNs.
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43
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Fu M, Eimes JA, Waldman B. Divergent allele advantage in the MHC and amphibian emerging infectious disease. INFECTION, GENETICS AND EVOLUTION 2023; 111:105429. [PMID: 36990307 DOI: 10.1016/j.meegid.2023.105429] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 02/20/2023] [Accepted: 03/22/2023] [Indexed: 03/29/2023]
Abstract
Genetic variation in the major histocompatibility complex (MHC) may be associated with resistance to the amphibian chytrid fungus Batrachochytrium dendrobatidis (Bd). The pathogen originated in Asia, then spread worldwide, causing amphibian population declines and species extinctions. We compared the expressed MHC IIβ1 alleles of a Bd-resistant toad species, Bufo gargarizans, from South Korea with those of a Bd-susceptible Australasian frog species, Litoria caerulea. We found at least six expressed MHC IIβ1 loci in each of the two species. Amino acid diversity encoded by these MHC alleles was similar between species, but the genetic divergence of those alleles known for broader pathogen-derived peptide binding was greater in the Bd-resistant species. In addition, we found a potentially rare allele in one resistant individual from the Bd-susceptible species. Deep next-generation sequencing recovered approximately triple the genetic resolution accessible from traditional cloning-based genotyping. Targeting more than one MHC IIβ1 expressed locus enables us to better understand how host MHC may adapt to emerging infectious diseases.
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44
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Gurnari C, Visconte V. From bone marrow failure syndromes to VEXAS: Disentangling clonal hematopoiesis, immune system, and molecular drivers. Leuk Res 2023; 127:107038. [PMID: 36841022 DOI: 10.1016/j.leukres.2023.107038] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 01/25/2023] [Accepted: 02/09/2023] [Indexed: 02/13/2023]
Abstract
Clonal hematopoiesis (CH) is a result of the selective expansion of hematopoietic stem and progenitor cells (HSPCs) carrying somatic mutations originating from a primary HSC. The advent of modern genomic technologies has helped recognizing that CH is common in elderly healthy subjects as a result of the aging bone marrow (BM). CH in healthy subjects without abnormalities in blood counts is known as CH of indeterminate potential. CH is also seen in BM failure (BMF) disorders. Whether CH alarms for the risk to develop malignant evolution in BMF or creates an adaptation to selective pressure is a matter of controversy. As such, a continuum might exist from pre-malignant to malignant hematopoietic diseases. This review summarizes how somatic mutations and immune derangement in HSCs shape disease evolution and describes the complexity of disorders such as VEXAS as the prototypic tetrad of somatic mutations, morphologic features, inflammatory pathways and immune overshooting. In such a view, we interconnect the axis aging and immune-hematopoietic system, which all convey important clues for the risk to develop malignancies.
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Affiliation(s)
- Carmelo Gurnari
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Biomedicine and Prevention, PhD in Immunology, Molecular Medicine and Applied Biotechnology, University of Rome Tor Vergata, Rome, Italy
| | - Valeria Visconte
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
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45
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Gong Y, Guo Y, He YM, Yuan Y, Yang BG, Duan XH, Liu CL, Zhang JH, Hong QH, Ma YH, Na RS, Han YG, Zeng Y, Huang YF, Zhao YJ, Zhao ZQ, E G. Comparative analysis of the genetic diversity of the neutral microsatellite loci and second exon of the goat MHC-DQB1 gene. Anim Biotechnol 2023; 34:85-92. [PMID: 34289783 DOI: 10.1080/10495398.2021.1935980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
This study compared and analyzed the genetic diversity and population structure of exon 2 of the DQB1 gene and 13 autosomal neutral microsatellite markers from 14 Chinese goat breeds to explore the potential evolutionary mechanism of the major histocompatibility complex (MHC). A total of 287 haplotypes were constructed from MHC-DQB1 exon 2 from 14 populations, and 82 nucleotide polymorphic sites (SNPs, 31.78%) and 172 heterozygous individuals (79.12%) were identified. The FST values of the microsatellites and MHC-DQB ranged between 0.01831-0.26907 and 0.00892-0.38871, respectively. Furthermore, 14 goat populations showed rich genetic diversity in the microsatellite loci and MHC-DQB1 exon 2. However, the population structure and phylogenetic relationship represented by the two markers were different. Positive selection and Tajima's D test results showed the occurrence of a diversified selection mechanism, which was primarily based on a positive and balancing selection in goat DQB. This study also found that the DQB sequences of bovines exhibited trans-species polymorphism (TSP) among species and families. In brief, this study indicated that positive and balancing selection played a major role in maintaining the genetic diversity of DQB, and TSP of MHC in bovines was common, which enhanced the understanding of the MHC evolution.
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Affiliation(s)
- Ying Gong
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Yi Guo
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Yong-Meng He
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Ying Yuan
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Bai-Gao Yang
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Xing-Hai Duan
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Cheng-Li Liu
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Jia-Hua Zhang
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Qiong-Hua Hong
- Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Yue-Hui Ma
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Ri-Su Na
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Yan-Guo Han
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Yan Zeng
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Yong-Fu Huang
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Yong-Ju Zhao
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Zhong-Quan Zhao
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Guangxin E
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
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46
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Shen Y, Parks JM, Smith JC. HLA Class I Supertype Classification Based on Structural Similarity. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 210:103-114. [PMID: 36453976 DOI: 10.4049/jimmunol.2200685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 10/31/2022] [Indexed: 12/24/2022]
Abstract
HLA class I proteins, a critical component in adaptive immunity, bind and present intracellular Ags to CD8+ T cells. The extreme polymorphism of HLA genes and associated peptide binding specificities leads to challenges in various endeavors, including neoantigen vaccine development, disease association studies, and HLA typing. Supertype classification, defined by clustering functionally similar HLA alleles, has proven helpful in reducing the complexity of distinguishing alleles. However, determining supertypes via experiments is impractical, and current in silico classification methods exhibit limitations in stability and functional relevance. In this study, by incorporating three-dimensional structures we present a method for classifying HLA class I molecules with improved breadth, accuracy, stability, and flexibility. Critical for these advances is our finding that structural similarity highly correlates with peptide binding specificity. The new classification should be broadly useful in peptide-based vaccine development and HLA-disease association studies.
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Affiliation(s)
- Yue Shen
- UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN
| | - Jerry M Parks
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN; and
| | - Jeremy C Smith
- UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN; and.,Department of Biochemistry & Cellular and Molecular Biology, University of Tennessee, Knoxville, TN
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47
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Karnaukhov V, Paes W, Woodhouse IB, Partridge T, Nicastri A, Brackenridge S, Shcherbinin D, Chudakov DM, Zvyagin IV, Ternette N, Koohy H, Borrow P, Shugay M. HLA variants have different preferences to present proteins with specific molecular functions which are complemented in frequent haplotypes. Front Immunol 2022; 13:1067463. [PMID: 36605212 PMCID: PMC9808399 DOI: 10.3389/fimmu.2022.1067463] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 11/21/2022] [Indexed: 12/24/2022] Open
Abstract
Human leukocyte antigen (HLA) genes are the most polymorphic loci in the human genome and code for proteins that play a key role in guiding adaptive immune responses by presenting foreign and self peptides (ligands) to T cells. Each person carries up to 6 HLA class I variants (maternal and paternal copies of HLA-A, HLA-B and HLA-C genes) and also multiple HLA class II variants, which cumulatively define the landscape of peptides presented to T cells. Each HLA variant has its own repertoire of presented peptides with a certain sequence motif which is mainly defined by peptide anchor residues (typically the second and the last positions for HLA class I ligands) forming key interactions with the peptide-binding groove of HLA. In this study, we aimed to characterize HLA binding preferences in terms of molecular functions of presented proteins. To focus on the ligand presentation bias introduced specifically by HLA-peptide interaction we performed large-scale in silico predictions of binding of all peptides from human proteome for a wide range of HLA variants and established which functions are characteristic for proteins that are more or less preferentially presented by different HLA variants using statistical calculations and gene ontology (GO) analysis. We demonstrated marked distinctions between HLA variants in molecular functions of preferentially presented proteins (e.g. some HLA variants preferentially present membrane and receptor proteins, while others - ribosomal and DNA-binding proteins) and reduced presentation of extracellular matrix and collagen proteins by the majority of HLA variants. To explain these observations we demonstrated that HLA preferentially presents proteins enriched in amino acids which are required as anchor residues for the particular HLA variant. Our observations can be extrapolated to explain the protective effect of certain HLA alleles in infectious diseases, and we hypothesize that they can also explain susceptibility to certain autoimmune diseases and cancers. We demonstrate that these differences lead to differential presentation of HIV, influenza virus, SARS-CoV-1 and SARS-CoV-2 proteins by various HLA alleles. Taking into consideration that HLA alleles are inherited in haplotypes, we hypothesized that haplotypes composed of a combination of HLA variants with different presentation preferences should be more advantageous as they allow presenting a larger repertoire of peptides and avoiding holes in immunopeptidome. Indeed, we demonstrated that HLA-A/HLA-B and HLA-A/HLA-C haplotypes which have a high frequency in the human population are comprised of HLA variants that are more distinct in terms of functions of preferentially presented proteins than the control pairs.
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Affiliation(s)
- Vadim Karnaukhov
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia
| | - Wayne Paes
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Isaac B. Woodhouse
- Medical Research Council (MRC) Human Immunology Unit, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine (WIMM), John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
- Medical Research Council (MRC) Weatherall Institute of Molecular Medicine (WIMM) Centre for Computational Biology, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine (WIMM), University of Oxford, Oxford, United Kingdom
| | - Thomas Partridge
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Annalisa Nicastri
- The Jenner Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Simon Brackenridge
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Dmitrii Shcherbinin
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Dmitry M. Chudakov
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Ivan V. Zvyagin
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Nicola Ternette
- The Jenner Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Hashem Koohy
- Medical Research Council (MRC) Human Immunology Unit, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine (WIMM), John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
- Medical Research Council (MRC) Weatherall Institute of Molecular Medicine (WIMM) Centre for Computational Biology, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine (WIMM), University of Oxford, Oxford, United Kingdom
| | - Persephone Borrow
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Mikhail Shugay
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
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48
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Takahashi S, Narita S, Fujiyama N, Hatakeyama S, Kobayashi T, Kato R, Naito S, Sakatani T, Kashima S, Koizumi A, Yamamoto R, Nara T, Kanda S, Numakura K, Saito M, Obara W, Tsuchiya N, Ohyama C, Ogawa O, Habuchi T. Impact of germline HLA genotypes on clinical outcomes in patients with urothelial cancer treated with pembrolizumab. Cancer Sci 2022; 113:4059-4069. [PMID: 35848083 DOI: 10.1111/cas.15488] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 06/27/2022] [Accepted: 06/30/2022] [Indexed: 12/15/2022] Open
Abstract
Human leukocyte antigen class I (HLA-I) genotypes are suggested to influence the cancer response to checkpoint blockade immunotherapy. This study assessed the impact of germline HLA genotypes on clinical outcomes in patients with chemoresistant advanced urothelial cancer (UC) treated with pembrolizumab. Zygosity, supertypes, evolutionary divergency, and specific alleles of germline HLA-I and -II were evaluated using the Luminex technique in 108 patients with chemoresistant metastatic or locally advanced UC treated with pembrolizumab. Among the 108 patients, 69 died and 83 showed radiographic progression during follow-up. Homozygous for at least one HLA-I locus, absence of the HLA-A03 supertype, and high HLA-I evolutionary divergence were associated with a radiographic response, but were not associated with survival outcomes. Patients with the HLA-DQB1*03:01 allele had significantly lower disease control rates than patients without the allele (17.4% vs. 53.8%, p = 0.002); its presence was also an independent risk factor for progressive disease (hazard ratio 4.35, 95% confidence interval 1.03-18.46). Furthermore, patients with the HLA-DQB1*03:01 allele had significantly worse progression-free survival than patients without the allele (median progression-free survival 3.1 vs. 4.8 months, p = 0.035). There was no significant relationship between any HLA status and the incidence of severe adverse events. Several germline HLA genotypes, especially HLA-DQB1*03:01, may be associated with radiographic progression. However, their impact on treatment response is limited, and germline HLA genotypes was not independently associated with survival outcomes. Further prospective studies are needed to confirm the relationship between germline HLA genotypes and clinical outcomes in patients with chemoresistant advanced UC treated with pembrolizumab.
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Affiliation(s)
- Shuhei Takahashi
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Shintaro Narita
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Nobuhiro Fujiyama
- Clinical Research Support Center, Akita University Hospital, Akita, Japan
| | - Shingo Hatakeyama
- Department of Urology, Hirosaki University School of Medicine, Hirosaki, Japan
| | - Takashi Kobayashi
- Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Renpei Kato
- Department of Urology, Iwate Medical School of Medicine, Iwate, Japan
| | - Sei Naito
- Department of Urology, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Toru Sakatani
- Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Soki Kashima
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Atsushi Koizumi
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Ryohei Yamamoto
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Taketoshi Nara
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Souhei Kanda
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Kazuyuki Numakura
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Mitsuru Saito
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Wataru Obara
- Department of Urology, Iwate Medical School of Medicine, Iwate, Japan
| | - Norihiko Tsuchiya
- Department of Urology, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Chikara Ohyama
- Department of Urology, Hirosaki University School of Medicine, Hirosaki, Japan
| | - Osamu Ogawa
- Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomonori Habuchi
- Department of Urology, Akita University School of Medicine, Akita, Japan
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Jiang N, Yu Y, Zhang M, Tang Y, Wu D, Wang S, Fang Y, Zhang Y, Meng L, Li Y, Miao H, Ma P, Huang H, Li N. Association between germ-line HLA and immune-related adverse events. Front Immunol 2022; 13:952099. [PMID: 36177028 PMCID: PMC9513190 DOI: 10.3389/fimmu.2022.952099] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/23/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundIn recent years, significant progress has been made in immune checkpoint inhibitors (ICIs). However, accompanied by remarkable efficacy, a growing number of immune-related adverse events (irAEs) also arose. The mechanism of irAEs remains unclear. Previous studies indicated a positive association between specific human leukocyte antigen (HLA) variants and irAEs. Therefore, we planned and initiated a large cohort study aiming to uncover the relationship between irAEs and divergent HLA types.MethodsWe screened all patients who have been treated in the clinical research ward, Cancer Hospital of the Chinese Academy of Medical Sciences. All participants were diagnosed with malignant tumors with complete AE follow-up data in the original electronic medical records. Sequencing libraries were generated using a customized panel, and four-digit formatted HLA alleles were extracted for further analysis. Association analysis was performed between HLA variants and different irAEs. We introduced two external reference groups and a non-irAE control group within the study cohort to control the type I error. We also explored the relationship between the zygosity of HLA genes, the evolutionary divergence of HLA class I genotype (HED), and irAEs.Results530 participants received at least two doses of ICIs. The median follow-up time was 10.3 months. 97% of patients received anti-PD-1/PD-L1 treatment. The occurrence of overall irAEs showed no significant difference between the HLA homozygous group and the HLA heterozygous group. We did not find any significant association between irAEs and HED. We found that some HLA types are associated with irAEs of different organs and detected a significant association between HLA-DRB3*01:01 and thrombocytopenia (OR 3.48 (1.19,9.42), p = 0.011), HLA-DPB1*04:02 and hypokalemia/hyponatremia (OR 3.44 (1.24,9.1), p = 0.009), leukopenia (OR 2.1 (0.92,4.8), p = 0.037), anemia (OR 2.33 (1.0,5.41), p = 0.026), HLA-A*26:01 and bilirubin elevation (OR 2.67 (0.92,8.31), p = 0.037).ConclusionsIrAEs in specific organs and tissues may be associated with certain HLA types, while HLA heterogeneity has no significant influence on the happening of irAEs. More research is needed to explore the role of germline genetic changes in the risk assessment of irAEs.
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Affiliation(s)
- Ning Jiang
- Clinical Cancer Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yue Yu
- Clinical Cancer Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Min Zhang
- Oncology Bussiness Department, Novogene Co., Ltd, Beijing, China
| | - Yu Tang
- Clinical Cancer Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dawei Wu
- Clinical Cancer Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shuhang Wang
- Clinical Cancer Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan Fang
- Clinical Cancer Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Zhang
- Research and Development Department, Burning Rock Biotech, Guangzhou, China
| | - Lin Meng
- Oncology Bussiness Department, Novogene Co., Ltd, Beijing, China
| | - Yingying Li
- Oncology Bussiness Department, Novogene Co., Ltd, Beijing, China
| | - Huilei Miao
- Clinical Cancer Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peiwen Ma
- Clinical Cancer Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huiyao Huang
- Clinical Cancer Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ning Li
- Clinical Cancer Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Ning Li,
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50
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HLA-B evolutionary divergence is associated with outcomes after SARS-CoV-2 infection. Hum Immunol 2022; 83:803-807. [PMID: 36109290 PMCID: PMC9464580 DOI: 10.1016/j.humimm.2022.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 07/28/2022] [Accepted: 09/06/2022] [Indexed: 12/04/2022]
Abstract
We examined the correlation between class I HLA evolutionary divergence (HED), a surrogate for the capacity to present different peptides, and the outcomes of 234 adult inpatients with confirmed SARS-CoV-2 infection. Genomic DNA was extracted from peripheral blood and genotyped by next-generation sequencing (NGS). HED scores for HLA class I (HLA-A, -B, and -C) genotypes were calculated using Grantham’s distance. Higher HED scores for HLA-B, but not HLA-A or -C, are significantly associated with a decreased probability of poor outcomes including ICU admission, mechanical ventilation, and death (OR = 0.93; P = 0.04) in the univariate analysis. In the multivariate analysis, increased HLA-B HED score, younger age, and no comorbidity were independently associated with favorable outcomes (P = 0.02, P = 0.01, and P = 0.05, respectively). This finding is consistent with the notion that broader peptide repertoires presented by class I HLA may be beneficial in infection control.
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