1
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Skelly DA, Graham JP, Cheng M, Furuta M, Walter A, Stoklasek TA, Yang H, Stearns TM, Poirion O, Zhang JG, Grassmann JDS, Luo D, Flynn WF, Courtois ET, Chang CH, Serreze DV, Menghi F, Reinholdt LG, Liu ET. Mapping the genetic landscape establishing a tumor immune microenvironment favorable for anti-PD-1 response. Cell Rep 2025; 44:115698. [PMID: 40343794 DOI: 10.1016/j.celrep.2025.115698] [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: 09/10/2024] [Revised: 01/03/2025] [Accepted: 04/23/2025] [Indexed: 05/11/2025] Open
Abstract
Identifying host genetic factors modulating immune checkpoint inhibitor (ICI) efficacy is experimentally challenging. Our approach, utilizing the Collaborative Cross mouse genetic resource, fixes the tumor genomic configuration while varying host genetics. We find that response to anti-PD-1 (aPD1) immunotherapy is significantly heritable in four distinct murine tumor models (H2: 0.18-0.40). For the MC38 colorectal carcinoma system, we map four significant ICI response quantitative trait loci (QTLs) with significant epistatic interactions. The differentially expressed genes within these QTLs that define responder genetics are highly enriched for processes involving antigen processing and presentation, allograft rejection, and graft vs. host disease (all p < 1 × 10-10). Functional blockade of two top candidate immune targets, GM-CSF and IL-2RB, completely abrogates the MC38 transcriptional response to aPD1 therapy. Thus, our in vivo experimental platform is a powerful approach for discovery of host genetic factors that establish the tumor immune microenvironment propitious for ICI response.
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Affiliation(s)
- Daniel A Skelly
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME 04609, USA
| | - John P Graham
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME 04609, USA
| | | | - Mayuko Furuta
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Andrew Walter
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME 04609, USA
| | | | | | - Timothy M Stearns
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME 04609, USA
| | - Olivier Poirion
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Ji-Gang Zhang
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME 04609, USA
| | - Jessica D S Grassmann
- Single Cell Biology Lab, The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Diane Luo
- Single Cell Biology Lab, The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - William F Flynn
- Single Cell Biology Lab, The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Elise T Courtois
- Single Cell Biology Lab, The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; OB/Gyn Department, UConn Health, Farmington, CT 06032, USA
| | - Chih-Hao Chang
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME 04609, USA
| | - David V Serreze
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME 04609, USA
| | - Francesca Menghi
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Laura G Reinholdt
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME 04609, USA
| | - Edison T Liu
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
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2
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Skelly DA, Graham JP, Cheng M, Furuta M, Walter A, Stoklasek TA, Yang H, Stearns TM, Poirion O, Zhang JG, Grassmann JDS, Luo D, Flynn WF, Courtois ET, Chang CH, Serreze DV, Menghi F, Reinholdt LG, Liu ET. Mapping the genetic landscape establishing a tumor immune microenvironment favorable for anti-PD-1 response in mice and humans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.11.603136. [PMID: 39071392 PMCID: PMC11275897 DOI: 10.1101/2024.07.11.603136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Identifying host genetic factors modulating immune checkpoint inhibitor (ICI) efficacy has been experimentally challenging because of variations in both host and tumor genomes, differences in the microbiome, and patient life exposures. Utilizing the Collaborative Cross (CC) multi-parent mouse genetic resource population, we developed an approach that fixes the tumor genomic configuration while varying host genetics. With this approach, we discovered that response to anti-PD-1 (aPD1) immunotherapy was significantly heritable in four distinct murine tumor models (H2 between 0.18-0.40). For the MC38 colorectal carcinoma system (H2 = 0.40), we mapped four significant ICI response quantitative trait loci (QTL) localized to mouse chromosomes (mChr) 5, 9, 15 and 17, and identified significant epistatic interactions between specific QTL pairs. Differentially expressed genes within these QTL were highly enriched for immune genes and pathways mediating allograft rejection and graft vs host disease. Using a cross species analytical approach, we found a core network of 48 genes within the four QTLs that showed significant prognostic value for overall survival in aPD1 treated human cohorts that outperformed all other existing validated immunotherapy biomarkers, especially in human tumors of the previously defined immune subtype 4. Functional blockade of two top candidate immune targets within the 48 gene network, GM-CSF and high affinity IL-2/IL-15 signaling, completely abrogated the MC38 tumor transcriptional response to aPD1 therapy in vivo. Thus, we have established a powerful cross species in vivo platform capable of uncovering host genetic factors that establish the tumor immune microenvironment configuration propitious for ICI response.
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Affiliation(s)
- Daniel A. Skelly
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, USA
| | - John P. Graham
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, USA
| | | | - Mayuko Furuta
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Andrew Walter
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, USA
| | | | | | | | - Olivier Poirion
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Ji-Gang Zhang
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, USA
| | | | - Diane Luo
- Single Cell Biology Lab, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - William F. Flynn
- Single Cell Biology Lab, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Elise T. Courtois
- Single Cell Biology Lab, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- OB/Gyn Department, UConn Health, Farmington, CT, USA
| | - Chih-Hao Chang
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, USA
| | - David V. Serreze
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, USA
| | - Francesca Menghi
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Edison T. Liu
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
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3
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Auer PL, Farazi M, Zhang T, Dong J, Bolon YT, Spellman SR, Saber W. Donor germ-line variants associate with outcomes of allogeneic hematopoietic stem cell transplantation in patients with myelodysplastic syndromes. Am J Hematol 2024; 99:770-773. [PMID: 38339773 PMCID: PMC10947828 DOI: 10.1002/ajh.27243] [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: 10/19/2023] [Revised: 01/10/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024]
Abstract
Overall survival probability for MDS patients who underwent allo-HCT and were matched to donors that are wild-type (red) and heterozygous (blue) for the rs111224634 SNP.
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Affiliation(s)
- Paul L. Auer
- Division of Biostatistics, Institute for Health & Equity, Medical College of Wisconsin, Milwaukee, WI, USA
- Medical College of Wisconsin Cancer Center, Milwaukee, WI, USA
| | - Manzur Farazi
- Division of Biostatistics, Institute for Health & Equity, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Tao Zhang
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Jing Dong
- Medical College of Wisconsin Cancer Center, Milwaukee, WI, USA
- Division of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Yung-Tsi Bolon
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Stephen R. Spellman
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Wael Saber
- Division of Hematology and Oncology, Department of Medicine, CIBMTR (Center for International Blood and Marrow Transplant Research), Medical College of Wisconsin, Milwaukee, WI, USA
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4
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Thakar MS, Sorror ML. What makes a pediatric or young adult patient an appropriate transplant candidate? HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2023; 2023:731-736. [PMID: 38066934 PMCID: PMC10727049 DOI: 10.1182/hematology.2023000519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
A 3-year-old child with chronic granulomatous disease was brought to the transplant clinic by his parents. The patient has a history of Aspergillus fumigatus pneumonia, which required mechanical ventilation, and sepsis, resulting in several intensive care stays. He has failure to thrive and developmental delay. His parents are seeking guidance whether allogeneic hematopoietic cell transplantation (HCT) is a reasonable treatment option given concerns about his upfront major health limitations. Based on the original HCT-Comorbidity Index (CI), this child's risk for nonrelapse mortality (NRM) would be negligible with a score of 0. With use of the validated youth-nonmalignant HCT-CI, the score increases to 5, due to prior mechanical ventilation (+3), history of fungal infection (+1), and being underweight (+1), with at least 2-fold increase in risk of NRM. The role of developmental delay is unclear and not currently validated to prognosticate survival. While HCT was ultimately recommended in this case, the family was counseled to have a more realistic sense of NRM risk.
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Affiliation(s)
- Monica S Thakar
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Pediatrics, University of Washington, Seattle, WA
| | - Mohamed L Sorror
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Medicine, University of Washington, Seattle, WA
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5
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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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6
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Pang Y, Holtzman NG. Immunopathogenic mechanisms and modulatory approaches to graft-versus-host disease prevention in acute myeloid leukaemia. Best Pract Res Clin Haematol 2023; 36:101475. [PMID: 37353287 PMCID: PMC10291443 DOI: 10.1016/j.beha.2023.101475] [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: 04/23/2023] [Revised: 05/03/2023] [Accepted: 05/03/2023] [Indexed: 06/25/2023]
Abstract
Allogeneic haematopoietic stem cell transplantation (HSCT) remains the only potential cure for intermediate to high-risk acute myeloid leukaemia (AML). The therapeutic effect of HSCT is largely dependent on the powerful donor-derived immune response against recipient leukaemia cells, known as graft-versus-leukaemia effect (GvL). However, the donor-derived immune system can also cause acute or chronic damage to normal recipient organs and tissues, in a process known as graft-versus-host disease (GvHD). GvHD is a leading cause of non-relapse mortality in HSCT recipients. There are many similarities and cross talk between the immune pathways of GvL and GvHD. Studies have demonstrated that both processes require the presence of mismatched alloantigens between the donor and recipient, and activation of immune responses centered around donor T-cells, which can be further modulated by various recipient or donor factors. Dissecting GvL from GvHD to achieve more effective GvHD prevention and enhanced GvL has been the holy grail of HSCT research. In this review, we focused on the key factors that contribute to the immune responses of GvL and GvHD, the effect on GvL with different GvHD prophylactic strategies, and the potential impact of various AML relapse prevention therapy or treatments on GvHD.
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Affiliation(s)
- Yifan Pang
- Department of Haematologic Oncology and Blood Disorders, Levine Cancer Institute, Charlotte, NC, USA.
| | - Noa G Holtzman
- Immune Deficiency Cellular Therapy Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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7
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Olsen KS, Jadi O, Dexheimer S, Bortone DS, Vensko SP, Bennett S, Tang H, Diiorio M, Saran T, Dingfelder D, Zhu Q, Wang Y, Haiman CA, Pooler L, Sheng X, Webb A, Pasquini MC, McCarthy PL, Spellman SR, Weimer E, Hahn T, Sucheston-Campbell L, Armistead PM, Vincent BG. Shared graft-versus-leukemia minor histocompatibility antigens in DISCOVeRY-BMT. Blood Adv 2023; 7:1635-1649. [PMID: 36477467 PMCID: PMC10182302 DOI: 10.1182/bloodadvances.2022008863] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 11/07/2022] [Accepted: 11/16/2022] [Indexed: 12/13/2022] Open
Abstract
T-cell responses to minor histocompatibility antigens (mHAs) mediate graft-versus-leukemia (GVL) effects and graft-versus-host disease (GVHD) in allogeneic hematopoietic cell transplantation. Therapies that boost T-cell responses improve allogeneic hematopoietic cell transplant (alloHCT) efficacy but are limited by concurrent increases in the incidence and severity of GVHD. mHAs with expression restricted to hematopoietic tissue (GVL mHAs) are attractive targets for driving GVL without causing GVHD. Prior work to identify mHAs has focused on a small set of mHAs or population-level single-nucleotide polymorphism-association studies. We report the discovery of a large set of novel GVL mHAs based on predicted immunogenicity, tissue expression, and degree of sharing among donor-recipient pairs (DRPs) in the DISCOVeRY-BMT data set of 3231 alloHCT DRPs. The total number of predicted mHAs varied by HLA allele, and the total number and number of each class of mHA significantly differed by recipient genomic ancestry group. From the pool of predicted mHAs, we identified the smallest sets of GVL mHAs needed to cover 100% of DRPs with a given HLA allele. We used mass spectrometry to search for high-population frequency mHAs for 3 common HLA alleles. We validated 24 predicted novel GVL mHAs that are found cumulatively within 98.8%, 60.7%, and 78.9% of DRPs within DISCOVeRY-BMT that express HLA-A∗02:01, HLA-B∗35:01, and HLA-C∗07:02, respectively. We confirmed the immunogenicity of an example novel mHA via T-cell coculture with peptide-pulsed dendritic cells. This work demonstrates that the identification of shared mHAs is a feasible and promising technique for expanding mHA-targeting immunotherapeutics.
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Affiliation(s)
- Kelly S. Olsen
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Microbiology and Immunology, UNC School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Othmane Jadi
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Sarah Dexheimer
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Dante S. Bortone
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Steven P. Vensko
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Sarah Bennett
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Microbiology and Immunology, UNC School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Hancong Tang
- College of Pharmacy, The Ohio State University, Columbus, OH
| | - Marisa Diiorio
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Tanvi Saran
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - David Dingfelder
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, 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 South California, Los Angeles, CA
| | - Xin Sheng
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Amy Webb
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH
| | - Marcelo C. Pasquini
- Center for International Blood and Marrow Transplant Research and Medical College of Wisconsin, Milwaukee, WI
| | - Philip L. McCarthy
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Stephen R. Spellman
- National Marrow Donor Program, Center for International Blood and Marrow Transplant Research, Minneapolis, MN
| | - Eric Weimer
- Department of Pathology & Laboratory Medicine, UNC School of Medicine, Chapel Hill, NC
| | - Theresa Hahn
- Department of Cancer Prevention & Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Lara Sucheston-Campbell
- College of Pharmacy, The Ohio State University, Columbus, OH
- College of Veterinary Medicine, The Ohio State University, Columbus, OH
| | - Paul M. Armistead
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
- Division of Hematology, Department of Medicine, UNC School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Benjamin G. Vincent
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Microbiology and Immunology, UNC School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC
- Division of Hematology, Department of Medicine, UNC School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC
- Computational Medicine Program, UNC School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC
- Curriculum in Bioinformatics and Computational Biology, UNC School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC
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8
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Sorror ML. The use of prognostic models in allogeneic transplants: a perspective guide for clinicians and investigators. Blood 2023; 141:2173-2186. [PMID: 36800564 PMCID: PMC10273168 DOI: 10.1182/blood.2022017999] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 02/08/2023] [Accepted: 02/08/2023] [Indexed: 02/19/2023] Open
Abstract
Allogeneic hematopoietic cell transplant (HCT) can cure many hematologic diseases, but it carries the potential risk of increased morbidity and mortality rates. Prognostic evaluation is a scientific entity at the core of care for potential recipients of HCT. It can improve the decision-making process of transplant vs no transplant, help choose the best transplant strategy and allows for future trials targeting patients' intolerances to transplant; hence, it ultimately improves transplant outcomes. Prognostic models are key for appropriate actuarial outcome estimates, which have frequently been shown to be better than physicians' subjective estimates. To make the most accurate prognostic evaluation for HCT, one should rely on >1 prognostic model. For relapse and relapse-related mortality risks, the refined disease risk index is currently the most informative model. It can be supplemented with disease-specific models that consider genetic mutations as predictors in addition to information on measurable residual disease. For nonrelapse mortality and HCT-related morbidity risks, the HCT-comorbidity index and Karnofsky performance status have proven to be the most reliable and most accepted by physicians. These can be supplemented with gait speed as a measure of frailty. Some other global prognostic models might add additional prognostic information. Physicians' educated perceptions can then put this information into context, taking into consideration conditioning regimen and donor choices. The future of transplant mandates (1) clinical investigators specifically trained in prognostication, (2) increased reliance on geriatric assessment, (3) the use of novel biomarkers such as genetic variants, and (4) the successful application of novel statistical methods such as machine learning.
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Affiliation(s)
- Mohamed L. Sorror
- Clinical Research Division, Fred Hutchinson Cancer Center and University of Washington School of Medicine, Seattle, WA
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