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Cieri N, Hookeri N, Stromhaug K, Li L, Keating J, Díaz-Fernández P, Gómez-García de Soria V, Stevens J, Kfuri-Rubens R, Shao Y, Kooshesh KA, Powell K, Ji H, Hernandez GM, Abelin J, Klaeger S, Forman C, Clauser KR, Sarkizova S, Braun DA, Penter L, Kim HT, Lane WJ, Oliveira G, Kean LS, Li S, Livak KJ, Carr SA, Keskin DB, Muñoz-Calleja C, Ho VT, Ritz J, Soiffer RJ, Neuberg D, Stewart C, Getz G, Wu CJ. Systematic identification of minor histocompatibility antigens predicts outcomes of allogeneic hematopoietic cell transplantation. Nat Biotechnol 2024:10.1038/s41587-024-02348-3. [PMID: 39169264 DOI: 10.1038/s41587-024-02348-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 07/02/2024] [Indexed: 08/23/2024]
Abstract
T cell alloreactivity against minor histocompatibility antigens (mHAgs)-polymorphic peptides resulting from donor-recipient (D-R) disparity at sites of genetic polymorphisms-is at the core of the therapeutic effect of allogeneic hematopoietic cell transplantation (allo-HCT). Despite the crucial role of mHAgs in graft-versus-leukemia (GvL) and graft-versus-host disease (GvHD) reactions, it remains challenging to consistently link patient-specific mHAg repertoires to clinical outcomes. Here we devise an analytic framework to systematically identify mHAgs, including their detection on HLA class I ligandomes and functional verification of their immunogenicity. The method relies on the integration of polymorphism detection by whole-exome sequencing of germline DNA from D-R pairs with organ-specific transcriptional- and proteome-level expression. Application of this pipeline to 220 HLA-matched allo-HCT D-R pairs demonstrated that total and organ-specific mHAg load could independently predict the occurrence of acute GvHD and chronic pulmonary GvHD, respectively, and defined promising GvL targets, confirmed in a validation cohort of 58 D-R pairs, for the prevention or treatment of post-transplant disease recurrence.
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Affiliation(s)
- Nicoletta Cieri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Nidhi Hookeri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kari Stromhaug
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Liang Li
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Julia Keating
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Paula Díaz-Fernández
- Department of Immunology, Instituto de Investigación Sanitaria Princesa (IIS-IP), Hospital Universitario de La Princesa, Madrid, Spain
| | - Valle Gómez-García de Soria
- Department of Hematology, Instituto de Investigación Sanitaria Princesa (IIS-IP), Hospital Universitario de La Princesa, Madrid, Spain
| | - Jonathan Stevens
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Raphael Kfuri-Rubens
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Yiren Shao
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Kaila Powell
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Helen Ji
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Gabrielle M Hernandez
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Jennifer Abelin
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Susan Klaeger
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Department of Proteomic and Genomic Technologies, Genentech Inc, South San Francisco, CA, USA
| | - Cleo Forman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Karl R Clauser
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Siranush Sarkizova
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - David A Braun
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Livius Penter
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Hematology, Oncology, and Tumorimmunology, Campus Virchow Klinikum, Berlin, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Haesook T Kim
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - William J Lane
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Giacomo Oliveira
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Leslie S Kean
- Harvard Medical School, Boston, MA, USA
- Division Hematology/Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Shuqiang Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kenneth J Livak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Steven A Carr
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Derin B Keskin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Computer Science, Metropolitan College, Boston University, Boston, MA, USA
- Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Cecilia Muñoz-Calleja
- Department of Immunology, Instituto de Investigación Sanitaria Princesa (IIS-IP), Hospital Universitario de La Princesa, Madrid, Spain
- Department of Medicine, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Vincent T Ho
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jerome Ritz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Robert J Soiffer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Donna Neuberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Chip Stewart
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Gad Getz
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Catherine J Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
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Jadi O, Tang H, Olsen K, Vensko S, Zhu Q, Wang Y, Haiman CA, Pooler L, Sheng X, Brock G, Webb A, Pasquini MC, McCarthy PL, Spellman SR, Hahn T, Vincent B, Armistead P, Sucheston-Campbell LE. Associations of minor histocompatibility antigens with outcomes following allogeneic hematopoietic cell transplantation. Am J Hematol 2023; 98:940-950. [PMID: 37052167 PMCID: PMC10368187 DOI: 10.1002/ajh.26925] [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: 01/14/2023] [Revised: 03/09/2023] [Accepted: 03/23/2023] [Indexed: 04/14/2023]
Abstract
The role of minor histocompatibility antigens (mHAs) in mediating graft versus leukemia and graft versus host disease (GvHD) following allogeneic hematopoietic cell transplantation (alloHCT) is recognized but not well-characterized. By implementing improved methods for mHA prediction in two large patient cohorts, this study aimed to comprehensively explore the role of mHAs in alloHCT by analyzing whether (1) the number of predicted mHAs, or (2) individual mHAs are associated with clinical outcomes. The study population consisted of 2249 donor-recipient pairs treated for acute myeloid leukemia and myelodysplastic syndrome with alloHCT. A Cox proportional hazard model showed that patients with a class I mHA count greater than the population median had an increased hazard of GvHD mortality (hazard ratio [HR] = 1.39, 95% confidence interval [CI] = 1.01, 1.77, p = .046). Competing risk analyses identified the class I mHAs DLRCKYISL (GSTP), WEHGPTSLL (CRISPLD2), and STSPTTNVL (SERPINF2) were associated with increased GVHD mortality (HR = 2.84, 95% CI = 1.52, 5.31, p = .01), decreased leukemia-free survival (LFS) (HR = 1.94, 95% CI = 1.27, 2.95, p = .044), and increased disease-related mortality (DRM) (HR = 2.32, 95% CI = 1.5, 3.6, p = .008), respectively. One class II mHA YQEIAAIPSAGRERQ (TACC2) was associated with increased risk of treatment-related mortality (TRM) (HR = 3.05, 95% CI = 1.75, 5.31, p = .02). WEHGPTSLL and STSPTTNVL were both present within HLA haplotype B*40:01-C*03:04 and showed a positive dose-response relationship with increased all-cause mortality and DRM and decreased LFS, indicating these two mHAs contribute to the risk of mortality in an additive manner. Our study reports the first large-scale investigation of the associations of predicted mHA peptides with clinical outcomes following alloHCT.
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Affiliation(s)
- Othmane Jadi
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, CB# 7295, Chapel Hill, NC
| | - Hancong Tang
- College of Pharmacy, The Ohio State University, Columbus, OH
| | - Kelly Olsen
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, CB# 7295, Chapel Hill, NC
| | - Steven Vensko
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, CB# 7295, Chapel Hill, NC
| | - Qianqian Zhu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Yiwen Wang
- Quantitative Sciences Unit, Department of Medicine, Stanford University, Palo Alto, CA
| | - Christopher A Haiman
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Loreall Pooler
- The Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA
| | - Xin Sheng
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Guy Brock
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH
| | - Amy Webb
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH
| | - Marcelo C. Pasquini
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI
| | - Philip L McCarthy
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Stephen R. Spellman
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program, Minneapolis, MN
| | - Theresa Hahn
- Department of Cancer Prevention & Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Benjamin Vincent
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, CB# 7295, Chapel Hill, NC
- Division of Hematology, Department of Medicine, UNC School of Medicine, Chapel Hill, NC
| | - Paul Armistead
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, CB# 7295, Chapel Hill, NC
- Division of Hematology, Department of Medicine, UNC School of Medicine, Chapel Hill, NC
| | - Lara E. Sucheston-Campbell
- College of Pharmacy, The Ohio State University, Columbus, OH
- College of Veterinary Medicine, The Ohio State University, Columbus, OH
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Martin PJ, Levine DM, Storer BE, Zheng X, Jain D, Heavner B, Norris BM, Geraghty DE, Spellman SR, Sather CL, Wu F, Hansen JA. A Model of Minor Histocompatibility Antigens in Allogeneic Hematopoietic Cell Transplantation. Front Immunol 2021; 12:782152. [PMID: 34868058 PMCID: PMC8636906 DOI: 10.3389/fimmu.2021.782152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 10/29/2021] [Indexed: 12/02/2022] Open
Abstract
Minor histocompatibility antigens (mHAg) composed of peptides presented by HLA molecules can cause immune responses involved in graft-versus-host disease (GVHD) and graft-versus-leukemia effects after allogeneic hematopoietic cell transplantation (HCT). The current study was designed to identify individual graft-versus-host genomic mismatches associated with altered risks of acute or chronic GVHD or relapse after HCT between HLA-genotypically identical siblings. Our results demonstrate that in allogeneic HCT between a pair of HLA-identical siblings, a mHAg manifests as a set of peptides originating from annotated proteins and non-annotated open reading frames, which i) are encoded by a group of highly associated recipient genomic mismatches, ii) bind to HLA allotypes in the recipient, and iii) evoke a donor immune response. Attribution of the immune response and consequent clinical outcomes to individual peptide components within this set will likely differ from patient to patient according to their HLA types.
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Affiliation(s)
- Paul J Martin
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.,Department of Medicine, University of Washington School of Medicine, Seattle, WA, United States
| | - David M Levine
- Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - Barry E Storer
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Xiuwen Zheng
- Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - Ben Heavner
- Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - Brandon M Norris
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Daniel E Geraghty
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Stephen R Spellman
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program, Minneapolis, MN, United States
| | - Cassie L Sather
- Genomics & Bioinformatics Shared Resource, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Feinan Wu
- Genomics & Bioinformatics Shared Resource, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - John A Hansen
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.,Department of Medicine, University of Washington School of Medicine, Seattle, WA, United States
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