1
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Fuchs KJ, van de Meent M, Honders MW, Khatri I, Kester MGD, Koster EAS, Koutsoumpli G, de Ru AH, van Bergen CAM, van Veelen PA, ’t Hoen PAC, van Balen P, van den Akker EB, Veelken JH, Halkes CJM, Falkenburg JHF, Griffioen M. Expanding the repertoire reveals recurrent, cryptic, and hematopoietic HLA class I minor histocompatibility antigens. Blood 2024; 143:1856-1872. [PMID: 38427583 PMCID: PMC11076866 DOI: 10.1182/blood.2023022343] [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: 09/13/2023] [Revised: 02/15/2024] [Accepted: 02/15/2024] [Indexed: 03/03/2024] Open
Abstract
ABSTRACT Allogeneic stem cell transplantation (alloSCT) is a curative treatment for hematological malignancies. After HLA-matched alloSCT, antitumor immunity is caused by donor T cells recognizing polymorphic peptides, designated minor histocompatibility antigens (MiHAs), that are presented by HLA on malignant patient cells. However, T cells often target MiHAs on healthy nonhematopoietic tissues of patients, thereby inducing side effects known as graft-versus-host disease. Here, we aimed to identify the dominant repertoire of HLA-I-restricted MiHAs to enable strategies to predict, monitor or modulate immune responses after alloSCT. To systematically identify novel MiHAs by genome-wide association screening, T-cell clones were isolated from 39 transplanted patients and tested for reactivity against 191 Epstein-Barr virus transformed B cell lines of the 1000 Genomes Project. By discovering 81 new MiHAs, we more than doubled the antigen repertoire to 159 MiHAs and demonstrated that, despite many genetic differences between patients and donors, often the same MiHAs are targeted in multiple patients. Furthermore, we showed that one quarter of the antigens are cryptic, that is translated from unconventional open reading frames, for example long noncoding RNAs, showing that these antigen types are relevant targets in natural immune responses. Finally, using single cell RNA-seq data, we analyzed tissue expression of MiHA-encoding genes to explore their potential role in clinical outcome, and characterized 11 new hematopoietic-restricted MiHAs as potential targets for immunotherapy. In conclusion, we expanded the repertoire of HLA-I-restricted MiHAs and identified recurrent, cryptic and hematopoietic-restricted antigens, which are fundamental to predict, follow or manipulate immune responses to improve clinical outcome after alloSCT.
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Affiliation(s)
- Kyra J. Fuchs
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marian van de Meent
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - M. Willy Honders
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Indu Khatri
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michel G. D. Kester
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Eva A. S. Koster
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Georgia Koutsoumpli
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Arnoud H. de Ru
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Peter A. van Veelen
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Peter A. C. ’t Hoen
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Peter van Balen
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik B. van den Akker
- Center for Computational Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - J. Hendrik Veelken
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - Marieke Griffioen
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
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2
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Zelikson V, Sabo R, Serrano M, Aqeel Y, Ward S, Al Juhaishi T, Aziz M, Krieger E, Simmons G, Roberts C, Reed J, Buck G, Toor A. Allogeneic haematopoietic cell transplants as dynamical systems: influence of early-term immune milieu on long-term T-cell recovery. Clin Transl Immunology 2023; 12:e1458. [PMID: 37457614 PMCID: PMC10345185 DOI: 10.1002/cti2.1458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 01/11/2023] [Accepted: 06/26/2023] [Indexed: 07/18/2023] Open
Abstract
Objectives Immune recovery following haematopoietic cell transplantation (HCT) functions as a dynamical system. Reducing the duration of intense immune suppression and augmenting antigen presentation has the potential to optimise T-cell reconstitution, potentially influencing long-term outcomes. Methods Based on donor-derived T-cell recovery, 26 patients were adaptively randomised between mycophenolate mofetil (MMF) administered for 30-day post-transplant with filgrastim for cytokine support (MMF30 arm, N = 11), or MMF given for 15 days with sargramostim (MMF15 arm, N = 15). All patients underwent in vivo T-cell depletion with 5.1 mg kg-1 antithymocyte globulin (administered over 3 days, Day -9 through to Day -7) and received reduced intensity 450 cGy total body irradiation (3 fractions on Day -1 and Day 0). Patients underwent HLA-matched related and unrelated donor haematopoietic cell transplantation (HCT). Results Clinical outcomes were equivalent between the two groups. The MMF15 arm demonstrated superior T-cell, as well as T-cell subset recovery and a trend towards superior T-cell receptor (TCR) diversity in the first month with this difference persisting through the first year. T-cell repertoire recovery was more rapid and sustained, as well as more diverse in the MMF15 arm. Conclusion The long-term superior immune recovery in the MMF15 arm, administered GMCSF, is consistent with a disproportionate impact of early interventions in HCT. Modifying the 'immune-milieu' following allogeneic HCT is feasible and may influence long-term T-cell recovery.
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Affiliation(s)
- Viktoriya Zelikson
- Department of Internal MedicineVirginia Commonwealth UniversityRichmondVAUSA
| | - Roy Sabo
- Department of BiostatisticsVirginia Commonwealth UniversityRichmondVAUSA
| | - Myrna Serrano
- Department of Microbiology and ImmunologyVirginia Commonwealth UniversityRichmondVAUSA
| | - Younus Aqeel
- Department of Internal MedicineVirginia Commonwealth UniversityRichmondVAUSA
| | - Savannah Ward
- Department of Internal MedicineVirginia Commonwealth UniversityRichmondVAUSA
| | - Taha Al Juhaishi
- Department of Internal MedicineVirginia Commonwealth UniversityRichmondVAUSA
| | - May Aziz
- Department of PharmacyVirginia Commonwealth UniversityRichmondVAUSA
| | - Elizabeth Krieger
- Department of PediatricsVirginia Commonwealth UniversityRichmondVAUSA
| | - Gary Simmons
- Department of Internal MedicineVirginia Commonwealth UniversityRichmondVAUSA
| | - Catherine Roberts
- Department of Internal MedicineVirginia Commonwealth UniversityRichmondVAUSA
| | - Jason Reed
- Department of PhysicsVirginia Commonwealth UniversityRichmondVAUSA
| | - Gregory Buck
- Department of BiostatisticsVirginia Commonwealth UniversityRichmondVAUSA
| | - Amir Toor
- Department of Internal MedicineVirginia Commonwealth UniversityRichmondVAUSA
- Lehigh Valley Topper Cancer InstituteAllentownPAUSA
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3
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Zelikson V, Simmons G, Raman N, Krieger E, Rebiero A, Hawks K, Aziz M, Roberts C, Chesney A, Reed J, Gress R, Toor A. Dynamical Systems Modeling of Early-Term Immune Reconstitution with Different Antithymocyte Globulin Administration Schedules in Allogeneic Stem Cell Transplantation. Transplant Cell Ther 2022; 28:85.e1-85.e9. [PMID: 34688968 PMCID: PMC8820845 DOI: 10.1016/j.jtct.2021.10.012] [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: 06/05/2021] [Revised: 10/06/2021] [Accepted: 10/12/2021] [Indexed: 02/03/2023]
Abstract
Alloreactivity forms the basis of allogeneic hematopoietic cell transplantation (HCT), with donor-derived T cell response to recipient antigens mediating clinical responses either in part or entirely. These encompass the different manifestations of graft-versus-host disease (GVHD), infection risk, and disease response. While the latter is contingent on disease biology and thus may be less predictable, the former 2 manifestations are more likely to be directly proportional to the magnitude of donor-derived T cell recovery. Herein we explore the quantitative aspects of immune cell recovery following allogeneic HCT and clinical outcomes in 2 cohorts of HLA-matched allograft recipients who received rabbit antithymocyte globulin (ATG) on different schedules (days -9 to -7 versus days -3 to -1). Monocyte as well as donor-derived T cell (ddCD3) recovery was superior in those given ATG early in the course of disease (days -9/-7). This difference was related to a more rapid rate of ddCD3 recovery, driven largely by CD3+/CD8+ cells in the first month post-transplantation. Early monocyte recovery was associated with later T cell recovery and improved survival. In contrast, rapid and early ddCD3 expansion out of proportion to monocyte recovery was associated with a high likelihood of acute GVHD and poor survival. This analytic methodology demonstrates that modeling "early-term immune reconstitution" following HCT yields insights that may be useful in the management of post-transplantation immunosuppression and adaptive cellular therapy to optimize clinical outcomes. © 2021 American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc.
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Affiliation(s)
- Viktoriya Zelikson
- Department of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Gary Simmons
- Department of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Natasha Raman
- Department of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Elizabeth Krieger
- Department of Pediatrics, Virginia Commonwealth University, Richmond, Virginia
| | - Anatevka Rebiero
- Department of Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Kelly Hawks
- Massey Cancer Center, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - May Aziz
- Massey Cancer Center, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Catherine Roberts
- Department of Pediatrics, Virginia Commonwealth University, Richmond, Virginia
| | - Alden Chesney
- Department of Physics, Department of Pathology, Virginia Commonwealth University, Richmond, Virginia
| | - Jason Reed
- Experimental Transplant and Immunology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | | | - Amir Toor
- Department of Medicine, Virginia Commonwealth University, Richmond, Virginia
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4
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Chaudhury A, Zhu X, Chu L, Goliaei A, June CH, Kearns JD, Stein AM. Chimeric Antigen Receptor T Cell Therapies: A Review of Cellular Kinetic-Pharmacodynamic Modeling Approaches. J Clin Pharmacol 2021; 60 Suppl 1:S147-S159. [PMID: 33205434 DOI: 10.1002/jcph.1691] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 06/13/2020] [Indexed: 12/16/2022]
Abstract
Chimeric antigen receptor T cell (CAR-T cell) therapies have shown significant efficacy in CD19+ leukemias and lymphomas. There remain many challenges and questions for improving next-generation CAR-T cell therapies, and mathematical modeling of CAR-T cells may play a role in supporting further development. In this review, we introduce a mathematical modeling taxonomy for a set of relatively simple cellular kinetic-pharmacodynamic models that describe the in vivo dynamics of CAR-T cell and their interactions with cancer cells. We then discuss potential extensions of this model to include target binding, tumor distribution, cytokine-release syndrome, immunophenotype differentiation, and genotypic heterogeneity.
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Affiliation(s)
- Anwesha Chaudhury
- Pharmacometrics, Novartis Institutes of BioMedical Research, Cambridge, Massachusetts, USA
| | - Xu Zhu
- PK Sciences Oncology, Novartis Institutes of BioMedical Research, Cambridge, Massachusetts, USA
| | - Lulu Chu
- PK Sciences Modeling & Simulation, Novartis Institutes of BioMedical Research, Cambridge, Massachusetts, USA
| | - Ardeshir Goliaei
- PK Sciences Modeling & Simulation, Novartis Institutes of BioMedical Research, Cambridge, Massachusetts, USA
| | - Carl H June
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jeffrey D Kearns
- PK Sciences Modeling & Simulation, Novartis Institutes of BioMedical Research, Cambridge, Massachusetts, USA
| | - Andrew M Stein
- Pharmacometrics, Novartis Institutes of BioMedical Research, Cambridge, Massachusetts, USA
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5
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Krieger E, Toor AA. Can Graft vs. Leukemia Effect Be Uncoupled From Graft vs. Host Disease? An Examination of Proportions. Front Immunol 2020; 11:777. [PMID: 32425947 PMCID: PMC7212371 DOI: 10.3389/fimmu.2020.00777] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Accepted: 04/06/2020] [Indexed: 12/30/2022] Open
Affiliation(s)
- Elizabeth Krieger
- Department of Pediatrics, Virginia Commonwealth University, Richmond, VA, United States
| | - Amir Ahmed Toor
- Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
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6
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Fuchs KJ, Honders MW, van der Meijden ED, Adriaans AE, van der Lee DI, Pont MJ, Monajemi R, Kielbasa SM, 't Hoen PAC, van Bergen CAM, Falkenburg JHF, Griffioen M. Optimized Whole Genome Association Scanning for Discovery of HLA Class I-Restricted Minor Histocompatibility Antigens. Front Immunol 2020; 11:659. [PMID: 32362897 PMCID: PMC7180171 DOI: 10.3389/fimmu.2020.00659] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 03/23/2020] [Indexed: 12/21/2022] Open
Abstract
Patients undergoing allogeneic stem cell transplantation as treatment for hematological diseases face the risk of Graft-versus-Host Disease as well as relapse. Graft-versus-Host Disease and the favorable Graft-versus-Leukemia effect are mediated by donor T cells recognizing polymorphic peptides, which are presented on the cell surface by HLA molecules and result from single nucleotide polymorphism alleles that are disparate between patient and donor. Identification of polymorphic HLA-binding peptides, designated minor histocompatibility antigens, has been a laborious procedure, and the number and scope for broad clinical use of these antigens therefore remain limited. Here, we present an optimized whole genome association approach for discovery of HLA class I minor histocompatibility antigens. T cell clones isolated from patients who responded to donor lymphocyte infusions after HLA-matched allogeneic stem cell transplantation were tested against a panel of 191 EBV-transformed B cells, which have been sequenced by the 1000 Genomes Project and selected for expression of seven common HLA class I alleles (HLA-A∗01:01, A∗02:01, A∗03:01, B∗07:02, B∗08:01, C∗07:01, and C∗07:02). By including all polymorphisms with minor allele frequencies above 0.01, we demonstrated that the new approach allows direct discovery of minor histocompatibility antigens as exemplified by seven new antigens in eight different HLA class I alleles including one antigen in HLA-A∗24:02 and HLA-A∗23:01, for which the method has not been originally designed. Our new whole genome association strategy is expected to rapidly augment the repertoire of HLA class I-restricted minor histocompatibility antigens that will become available for donor selection and clinical use to predict, follow or manipulate Graft-versus-Leukemia effect and Graft-versus-Host Disease after allogeneic stem cell transplantation.
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Affiliation(s)
- Kyra J Fuchs
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - M Willy Honders
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - Edith D van der Meijden
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands.,Department of Internal Medicine, Hematology and Internal Oncology, University Hospital Erlangen, Erlangen, Germany
| | - Alwin E Adriaans
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Margot J Pont
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands.,Immunotherapy Integrated Research Center, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Ramin Monajemi
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | - Szymon M Kielbasa
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | - Peter A C 't Hoen
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands.,Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, Netherlands
| | | | | | - Marieke Griffioen
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
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7
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Ilan Y. Overcoming randomness does not rule out the importance of inherent randomness for functionality. J Biosci 2019; 44:132. [PMID: 31894113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Randomness is intrinsic to many natural processes. It is also clear that, under certain conditions, disorders are not associated with functionality. Several examples in which overcoming, suppressing, or combining both randomness and non-randomness is required are drawn from various fields. However, the need to suppress or overcome randomness does not negate its importance under certain conditions and its significance in valid processes and organ functions. Randomness should be acknowledged rather than ignored or suppressed; it can be viewed, at worst, as a disturbing disorder that may be treated to produce order, or, at best, as a 'beneficial disorder' that can be considered as a higher level of functionality.
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Affiliation(s)
- Yaron Ilan
- Department of Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel,
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8
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Krieger E, Sabo R, Moezzi S, Cain C, Roberts C, Kimball P, Chesney A, McCarty J, Keating A, Romee R, Wiedl C, Qayyum R, Toor A. Killer Immunoglobulin-Like Receptor-Ligand Interactions Predict Clinical Outcomes following Unrelated Donor Transplantations. Biol Blood Marrow Transplant 2019; 26:672-682. [PMID: 31676338 DOI: 10.1016/j.bbmt.2019.10.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 09/08/2019] [Accepted: 10/16/2019] [Indexed: 01/12/2023]
Abstract
Killer immunoglobulin-like receptor (KIR) and KIR ligand (KIRL) interactions play an important role in natural killer (NK) cell-mediated graft-versus-leukemia effect following hematopoietic cell transplantation (HCT). However, there is considerable heterogeneity in the KIR gene and KIRL content in individuals, making it difficult to estimate the full clinical impact of NK cell reconstitution following HCT. Here we present a novel adaptive mathematical model designed to quantify these interactions to better assess the influence of NK cell-mediated alloreactivity on transplant outcomes. Ninety-eight HLA- matched unrelated donor (URD) HCT recipients were studied retrospectively. The KIR-KIRL interactions were quantified using a system of matrix equations. Unit values were ascribed to each KIR-KIRL interaction, and the directionality of interactions was denoted by either a positive (activating) or negative (inhibition) symbol; these interactions were then summed. The absolute values of both the missing KIRL and inhibitory KIR-KIRL interactions were significantly associated with overall survival and relapse. These score components were initially used to develop a weighted score (w-KIR score) and subsequently a simplified, nonweighted KIR-KIRL interaction score (IM-KIR score). Increased w-KIR score and IM-KIR score were predictive of all-cause mortality and relapse (w-KIR score: hazard ratio [HR], .37 [P = .001] and .44 [P = .044], respectively; IM-KIR score: HR, .5 [P = .049] and .44 [P = .002], respectively). IM-KIR score was also associated with NK cell reconstitution post-HCT. KIR-KIRL interactions as reflected by the w-KIR and IM-KIR scores influence both relapse risk and survival in recipients of HLA-matched URD HCT with hematologic malignancies.
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Affiliation(s)
- Elizabeth Krieger
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia
| | - Roy Sabo
- Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia
| | - Sanauz Moezzi
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia
| | - Caitlin Cain
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia
| | - Catherine Roberts
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia
| | - Pamela Kimball
- Department of Surgery, Virginia Commonwealth University, Richmond, Virginia
| | - Alden Chesney
- Department of Pathology, Virginia Commonwealth University, Richmond, Virginia
| | - John McCarty
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia
| | - Armand Keating
- Princess Margaret Cancer Center, University of Toronto, Toronto, Ontario, Canada
| | - Rizwan Romee
- Dana-Farber Cancer Center, Harvard University, Boston, Massachusetts
| | - Christina Wiedl
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia
| | - Rehan Qayyum
- Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Amir Toor
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia.
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9
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Ilan Y. Overcoming randomness does not rule out the importance of inherent randomness for functionality. J Biosci 2019. [DOI: 10.1007/s12038-019-9958-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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10
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Ritari J, Hyvärinen K, Koskela S, Niittyvuopio R, Nihtinen A, Salmenniemi U, Putkonen M, Volin L, Kwan T, Pastinen T, Itälä-Remes M, Partanen J. Computational Analysis of HLA-presentation of Non-synonymous Recipient Mismatches Indicates Effect on the Risk of Chronic Graft-vs.-Host Disease After Allogeneic HSCT. Front Immunol 2019; 10:1625. [PMID: 31379830 PMCID: PMC6646417 DOI: 10.3389/fimmu.2019.01625] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 07/01/2019] [Indexed: 12/20/2022] Open
Abstract
Genetic mismatches in protein coding genes between allogeneic hematopoietic stem cell transplantation (allo-HSCT) recipient and donor can elicit an alloimmunity response via peptides presented by the recipient HLA receptors as minor histocompatibility antigens (mHAs). While the impact of individual mHAs on allo-HSCT outcome such as graft-vs.-host and graft-vs.-leukemia effects has been demonstrated, it is likely that established mHAs constitute only a small fraction of all immunogenic non-synonymous variants. In the present study, we have analyzed the genetic mismatching in 157 exome-sequenced sibling allo-HSCT pairs to evaluate the significance of polymorphic HLA class I associated peptides on clinical outcome. We applied computational mismatch estimation approaches based on experimentally verified HLA ligands available in public repositories, published mHAs, and predicted HLA-peptide affinites, and analyzed their associations with chronic graft-vs.-host disease (cGvHD) grades. We found that higher estimated recipient mismatching consistently increased the risk of severe cGvHD, suggesting that HLA-presented mismatching influences the likelihood of long-term complications in the patient. Furthermore, computational approaches focusing on estimation of HLA-presentation instead of all non-synonymous mismatches indiscriminately may be beneficial for analysis sensitivity and could help identify novel mHAs.
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Affiliation(s)
- Jarmo Ritari
- Finnish Red Cross Blood Service, Helsinki, Finland
| | | | - Satu Koskela
- Finnish Red Cross Blood Service, Helsinki, Finland
| | - Riitta Niittyvuopio
- Stem Cell Transplantation Unit, Department of Hematology, Comprehensive Cancer Center, Helsinki University Hospital, Helsinki, Finland
| | - Anne Nihtinen
- Stem Cell Transplantation Unit, Department of Hematology, Comprehensive Cancer Center, Helsinki University Hospital, Helsinki, Finland
| | - Urpu Salmenniemi
- Stem Cell Transplantation Unit, Division of Medicine, Department of Hematology, Turku University Hospital, Turku, Finland
| | - Mervi Putkonen
- Stem Cell Transplantation Unit, Division of Medicine, Department of Hematology, Turku University Hospital, Turku, Finland
| | - Liisa Volin
- Stem Cell Transplantation Unit, Department of Hematology, Comprehensive Cancer Center, Helsinki University Hospital, Helsinki, Finland
| | - Tony Kwan
- Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, McGill University, Montreal, QC, Canada
| | - Tomi Pastinen
- Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, McGill University, Montreal, QC, Canada.,Center for Pediatric Genomic Medicine, Children's Mercy, Kansas City, MO, United States
| | - Maija Itälä-Remes
- Stem Cell Transplantation Unit, Division of Medicine, Department of Hematology, Turku University Hospital, Turku, Finland
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11
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Claiborne J, Bandyopathyay D, Roberts C, Hawks K, Aziz M, Simmons G, Wiedl C, Chung H, Clark W, McCarty J, Toor A. Managing post allograft relapse of myeloid neoplasms: azacitidine and donor lymphocyte infusions as salvage therapy. Leuk Lymphoma 2019; 60:2733-2743. [DOI: 10.1080/10428194.2019.1605066] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Affiliation(s)
- John Claiborne
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Dipankar Bandyopathyay
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Catherine Roberts
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Kelly Hawks
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
| | - May Aziz
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Gary Simmons
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Christina Wiedl
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Harold Chung
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
| | - William Clark
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
| | - John McCarty
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Amir Toor
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA
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12
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Meier JA, Haque M, Fawaz M, Abdeen H, Coffey D, Towlerton A, Abdeen A, Toor A, Warren E, Reed J, Kanakry CG, Keating A, Luznik L, Toor AA. T Cell Repertoire Evolution after Allogeneic Bone Marrow Transplantation: An Organizational Perspective. Biol Blood Marrow Transplant 2019; 25:868-882. [PMID: 30677510 DOI: 10.1016/j.bbmt.2019.01.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 01/11/2019] [Indexed: 12/31/2022]
Abstract
High-throughput sequencing (HTS) of human T cell receptors has revealed a high level of complexity in the T cell repertoire, which makes it difficult to correlate T cell reconstitution with clinical outcomes. The associations identified thus far are of a broadly statistical nature, precluding precise modeling of outcomes based on T cell repertoire development following bone marrow transplantation (BMT). Previous work has demonstrated an inherent, mathematically definable order observed in the T cells from a diverse group of donors, which is perturbed in recipients following BMT. In this study, T cell receptor (TCR)-β sequences from HLA-matched related donor and recipient pairs are analyzed to further develop this methodology. TCR-β sequencing from unsorted and sorted T cell subsets isolated from the peripheral blood samples of BMT donors and recipients show conservation and symmetry of VJ segment usage in the clonal frequencies, linked to the organization of the gene segments along the TCR locus. This TCR-β VJ segment translational symmetry is preserved post-transplantation and even in cases of acute graft-versus-host disease (aGVHD), suggesting that GVHD occurrence represents a polyclonal donor T cell response to recipient antigens. The complexity of the repertoire is significantly diminished after BMT, and the T cell clonal hierarchy is altered post-transplantation. Low-frequency donor clones tended to take on a higher rank in the recipients following BMT, especially in patients with aGVHD. Over time, the repertoire evolves to a more donor-like state in the recipients who did not develop GVHD as opposed to those who did. The results presented here support new methods of quantifying and characterizing post-transplantation T cell repertoire reconstitution.
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Affiliation(s)
- Jeremy A Meier
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia
| | - Mahdee Haque
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia
| | - Mohamed Fawaz
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia
| | - Hamdi Abdeen
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia
| | - David Coffey
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Andrea Towlerton
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Ahmed Abdeen
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia
| | - Abdullah Toor
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia
| | - Edus Warren
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jason Reed
- Department of Physics, Virginia Commonwealth University, Richmond, Virginia
| | - Christopher G Kanakry
- Experimental Transplantation and Immunology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Armand Keating
- Princess Margaret Cancer Center, Toronto, Ontario, Canada
| | - Leo Luznik
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Amir A Toor
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia.
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13
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Salman A, Koparde V, Hall CE, Jameson-Lee M, Roberts C, Serrano M, AbdulRazzaq B, Meier J, Kennedy C, Manjili MH, Spellman SR, Wijesinghe D, Hashmi S, Buck G, Qayyum R, Neale M, Reed J, Toor AA. Determining the Quantitative Principles of T Cell Response to Antigenic Disparity in Stem Cell Transplantation. Front Immunol 2018; 9:2284. [PMID: 30364159 PMCID: PMC6193078 DOI: 10.3389/fimmu.2018.02284] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 09/14/2018] [Indexed: 11/25/2022] Open
Abstract
Alloreactivity compromising clinical outcomes in stem cell transplantation is observed despite HLA matching of donors and recipients. This has its origin in the variation between the exomes of the two, which provides the basis for minor histocompatibility antigens (mHA). The mHA presented on the HLA class I and II molecules and the ensuing T cell response to these antigens results in graft vs. host disease. In this paper, results of a whole exome sequencing study are presented, with resulting alloreactive polymorphic peptides and their HLA class I and HLA class II (DRB1) binding affinity quantified. Large libraries of potentially alloreactive recipient peptides binding both sets of molecules were identified, with HLA-DRB1 generally presenting a greater number of peptides. These results are used to develop a quantitative framework to understand the immunobiology of transplantation. A tensor-based approach is used to derive the equations needed to determine the alloreactive donor T cell response from the mHA-HLA binding affinity and protein expression data. This approach may be used in future studies to simulate the magnitude of expected donor T cell response and determine the risk for alloreactive complications in HLA matched or mismatched hematopoietic cell and solid organ transplantation.
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Affiliation(s)
- Ali Salman
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Vishal Koparde
- Virginia Commonwealth University Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VA, United States
| | - Charles E. Hall
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Max Jameson-Lee
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Catherine Roberts
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Myrna Serrano
- Virginia Commonwealth University Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VA, United States
| | - Badar AbdulRazzaq
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Jeremy Meier
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Caleb Kennedy
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, United States
| | - Masoud H. Manjili
- Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, VA, United States
| | - Stephen R. Spellman
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, United States
| | - Dayanjan Wijesinghe
- School of Pharmacy, Virginia Commonwealth University, Richmond, VA, United States
| | - Shahrukh Hashmi
- Mayo Clinic, Rochester Minnesota and King Faisal Research Hospital, Riyadh, Saudi Arabia
| | - Greg Buck
- Virginia Commonwealth University Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VA, United States
| | - Rehan Qayyum
- Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA, United States
| | - Michael Neale
- Department of Psychiatry & Statistical Genomics, Virginia Commonwealth University, Richmond, VA, United States
| | - Jason Reed
- Department of Physics, Virginia Commonwealth University, Richmond, VA, United States
| | - Amir A. Toor
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
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14
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Toor AA, Chesney A, Zweit J, Reed J, Hashmi SK. A dynamical systems perspective on chimeric antigen receptor T-cell dosing. Bone Marrow Transplant 2018; 54:485-489. [PMID: 30171224 DOI: 10.1038/s41409-018-0329-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Revised: 07/30/2018] [Accepted: 08/13/2018] [Indexed: 01/01/2023]
Abstract
Chimeric antigen receptor T cells (CAR T cells) are dosed similarly to donor lymphocyte infusions following hematopoietic cell transplantation. However, the mechanism driving proliferation in CAR T cells is distinct from conventional T cells. As such there are quantitative differences in the antigen response of these engineered cells when compared with conventional T cells. In this perspective paper the logistic equation of growth is used to develop a mathematical basis for understanding the difference between CAR T cell and conventional T cell response to antigen burden.
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Affiliation(s)
- Amir A Toor
- Bone Marrow Transplant Program, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA.
| | - Alden Chesney
- Department of Pathology, Virginia Commonwealth University, Richmond, VA, USA
| | - Jamal Zweit
- Department of Radiology, Virginia Commonwealth University, Richmond, VA, USA
| | - Jason Reed
- Department of Physics, Virginia Commonwealth University, Richmond, VA, USA
| | - Shahrukh K Hashmi
- Division of Hematology, Dept. of Medicine, Mayo Clinic, Rochester, MN, USA.,Dept. Of Stem Cell Transplant, Oncology Center, KFSHRC, Riyadh, Saudi Arabia
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15
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Bykova NA, Malko DB, Efimov GA. In Silico Analysis of the Minor Histocompatibility Antigen Landscape Based on the 1000 Genomes Project. Front Immunol 2018; 9:1819. [PMID: 30166983 PMCID: PMC6105694 DOI: 10.3389/fimmu.2018.01819] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 07/24/2018] [Indexed: 12/30/2022] Open
Abstract
Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is routinely used to treat hematopoietic malignancies. The eradication of residual tumor cells during engraftment is mediated by donor cytotoxic T lymphocytes reactive to alloantigens. In a HLA-matched transplantation context, alloantigens are encoded by various polymorphic genes situated outside the HLA locus, also called minor histocompatibility antigens (MiHAs). Recently, MiHAs have been recognized as promising targets for post-transplantation T-cell immunotherapy as they have several appealing advantages over tumor-associated antigens (TAAs) and neoantigens, i.e., they are more abundant than TAAs, which potentially facilitates multiple targeting; and unlike neoantigens, they are encoded by germline polymorphisms, some of which are common and thus, suitable for off-the-shelf therapy. The genetic sources of MiHAs are nonsynonymous polymorphisms that cause differences between the recipient and donor proteomes and subsequently, the immunopeptidomes. Systematic description of the alloantigen landscape in HLA-matched transplantation is still lacking as previous studies focused only on a few immunogenic and common MiHAs. Here, we perform a thorough in silico analysis of the public genomic data to classify genetic polymorphisms that lead to MiHA formation and estimate the number of potentially available MiHA mismatches. Our findings suggest that a donor/recipient pair is expected to have at least several dozen mismatched strong MHC-binding SNP-associated peptides per HLA allele (116 ± 26 and 65 ± 15 for non-related pairs and siblings respectively in European populations as predicted by two independent algorithms). Over 70% of them are encoded by relatively frequent polymorphisms (minor allele frequency > 0.1) and thus, may be targetable by off-the-shelf therapeutics. We showed that the most appealing targets (probability of mismatch over 20%) reside in the asymmetric allele frequency region, which spans from 0.15 to 0.47 and corresponds to an order of several hundred (213 ± 47) possible targets per HLA allele that can be considered for immunogenicity validation. Overall, these findings demonstrate the significant potential of MiHAs as targets for T-cell immunotherapy and emphasize the need for the systematic discovery of novel MiHAs.
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Affiliation(s)
- Nadia A Bykova
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russia
| | - Dmitry B Malko
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russia
| | - Grigory A Efimov
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russia
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16
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Kobulnicky DJ, Sabo RT, Sharma S, Shubar Ali AS, Kobulnicky KM, Roberts CH, Clark WB, Chung HM, McCarty JM, Toor AA. The influence of lymphoid reconstitution kinetics on clinical outcomes in allogeneic stem cell transplantation. Leuk Lymphoma 2018; 59:2973-2981. [PMID: 29616870 DOI: 10.1080/10428194.2018.1452216] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Lymphoid recovery following myeloablative stem cell transplantation (SCT) displays a logistic pattern of exponential growth followed by a plateau. Within this logistic framework, lymphoid recovery is characterized by the parameters R (slope of ascent), a (time of maximal rate of ascent) and K (plateau), the 'steady-state' lymphocyte count. A retrospective analysis of allogeneic SCT performed from 2008 to 2013 was undertaken to compare lymphoid recovery and clinical outcomes in 131 patients with acute myelogenous leukemia, acute lymphocytic leukemia, and myelodysplastic syndromes. Using Prism software, a logistic curve was successfully fit to the absolute lymphocyte count recovery in all patients. Patients were classified according to the magnitude and rate of lymphoid recovery; pattern A achieved an absolute lymphocyte counts (ALC) of >1000/μL by day 45, pattern B an ALC 500 < x < 1000/μL, and pattern C an ALC <500/μL. Pattern A was characterized by a higher mean K (p < .0001) compared with patterns B and C. Patients with patterns B and C were more likely to have mixed T cell chimerism at 90 d following SCT (p = .01). There was a trend towards improved survival (and relapse-free survival) in those with pattern A and B at 1 year compared to pattern C (p = .073). There was no difference in cGVHD (p = .42) or relapse (p = .45) between pattern types. Cytomegalovirus (CMV), aGVHD, and all relapse were heralded by deviation from logistic behavior. Pattern C patients were more likely to require donor lymphocyte infusion (DLI) (p = .017). Weaning of tacrolimus post-transplant was associated with a second, separate logistic expansion in some patients. This study demonstrated that lymphoid reconstitution follows a prototypical logistic recovery and that pattern observed correlates with T cell chimerism and need for DLI, and may influence survival.
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Affiliation(s)
- David J Kobulnicky
- a Bone Marrow Transplant Program, Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| | - Roy T Sabo
- b Department of Biostatistics , Virginia Commonwealth University , Richmond , VA , USA
| | - Shashank Sharma
- a Bone Marrow Transplant Program, Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| | - Ali S Shubar Ali
- a Bone Marrow Transplant Program, Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| | - Kristen M Kobulnicky
- a Bone Marrow Transplant Program, Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| | - Catherine H Roberts
- a Bone Marrow Transplant Program, Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| | - William B Clark
- a Bone Marrow Transplant Program, Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| | - Harold M Chung
- a Bone Marrow Transplant Program, Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| | - John M McCarty
- a Bone Marrow Transplant Program, Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
| | - Amir A Toor
- a Bone Marrow Transplant Program, Department of Internal Medicine , Virginia Commonwealth University , Richmond , VA , USA
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