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Dong J, Arsang-Jang S, Zhang T, Chen Z, Bolon YT, Spellman S, Urrutia R, Auer P, Saber W. Prognostic impact of donor mitochondrial genomic variants in myelodysplastic neoplasms after stem-cell transplantation. J Hematol Oncol 2024; 17:104. [PMID: 39497145 PMCID: PMC11533675 DOI: 10.1186/s13045-024-01622-w] [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: 07/26/2024] [Accepted: 10/15/2024] [Indexed: 11/06/2024] Open
Abstract
Mitochondrial DNA (mtDNA) variants in patients with myelodysplastic neoplasms (MDS) are shown to be prognostic of outcomes after allogeneic hematopoietic cell transplantation (allo-HCT). However, the prognostic impact of donor mtDNA variants is unknown. Here, we performed whole-genome sequencing on 494 donors who were matched to MDS patients enrolled in the Center for International Blood and Marrow Transplant Research (CIBMTR). We evaluated the impact of donor mtDNA variants on recipients' transplantation outcomes, including overall survival, relapse, relapse-free survival, and transplant-related mortality. The optimism-adjusted bootstrap method was employed to evaluate the prognostic performance of models that include donor mtDNA variants alone and combined with MDS- and HCT-related clinical factors. In the entire donor cohort, we identified 1,825 mtDNA variants, including 67 potential pathogenic variants. Genetic variants on MT-CYB and MT-ND5 genes were identified as independent predictors of posttransplant outcomes. Integration of donor mtDNA variants into the models based on the International Prognostic Scoring System-Revised (IPSS-R) could capture more prognostic information for MDS patients. Sensitivity analysis in 397 unrelated donors obtained similar results. More importantly, we found that incorporating donor mtDNA variants with donor age and the degree of HLA-matching could help to identify "suboptimal" younger HLA-well-matched unrelated donors and "optimal" older HLA-partially/mismatched unrelated donors. Our study shows that mtDNA variants in donors, including those from unrelated donors, hold prognostic value for MDS patients undergoing allo-HCT and augment the prognostic stratification of current scoring systems. These findings present an opportunity to refine donor selection strategies and improve posttransplant outcomes for MDS patients.
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Affiliation(s)
- Jing Dong
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, HRC 5860, Milwaukee, WI, 53226, USA.
- Medical College of Wisconsin Cancer Center, Milwaukee, WI, USA.
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
| | - Shahram Arsang-Jang
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, HRC 5860, Milwaukee, WI, 53226, USA
| | - Tao Zhang
- CIBMTR ® (Center for International Blood and Marrow Transplant Research), NMDP, Minneapolis, MN, USA
| | - Zhongyuan Chen
- Division of Biostatistics, Institute for Health & Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Yung-Tsi Bolon
- CIBMTR ® (Center for International Blood and Marrow Transplant Research), NMDP, Minneapolis, MN, USA
| | - Stephen Spellman
- CIBMTR ® (Center for International Blood and Marrow Transplant Research), NMDP, Minneapolis, MN, USA
| | - Raul Urrutia
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Paul Auer
- Division of Biostatistics, Institute for Health & Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Cancer Center Biostatistics Shared Resource, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Wael Saber
- Division of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, 8701 Watertown Plank Road, HRC 5860, Milwaukee, WI, 53226, USA
- Department of Medicine, CIBMTR® (Center for International Blood and Marrow Transplant Research), Medical College of Wisconsin, Milwaukee, WI, USA
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2
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Hahn T, Wang J, Preus LM, Karaesmen E, Rizvi A, Clay-Gilmour AI, Zhu Q, Wang Y, Yan L, Liu S, Stram DO, Pooler L, Sheng X, Haiman CA, Berg DVD, Webb A, Brock G, Spellman SR, Onel K, McCarthy PL, Pasquini MC, Sucheston-Campbell LE. Novel genetic variants associated with mortality after unrelated donor allogeneic hematopoietic cell transplantation. EClinicalMedicine 2021; 40:101093. [PMID: 34746714 PMCID: PMC8548922 DOI: 10.1016/j.eclinm.2021.101093] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 07/26/2021] [Accepted: 07/30/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Identification of non-human leukocyte antigen (HLA) genetic risk factors could improve survival after allogeneic blood or marrow transplant (BMT) through matching at additional loci or individualizing risk prediction. We hypothesized that non-HLA loci contributed significantly to 1-year overall survival (OS), disease related mortality (DRM) or transplant related mortality (TRM) after unrelated donor (URD)BMT. METHODS We performed a genome-wide association study (GWAS) in 2,887 acute myeloid leukemia (AML), myelodysplastic syndrome (MDS) and acute lymphoblastic leukemia (ALL) patients and their ≥8/8 HLA-matched URDs comprising two independent cohorts treated from 2000-2011. FINDINGS Using meta-analyses of both cohorts, genome-wide significant associations (p < 5 × 10-8) were identified in: recipient genomes with OS at MBNL1 (rs9990017, HR = 1.4, 95% CI 1.24-1.56, p = 3.3 × 10-8) and donor-recipient genotype mismatch with OS at LINC02774 (rs10927108, HR = 1.34, 95% CI 1.21-1.48, p = 2.0 × 10-8); donor genomes with DRM at PCNX4 (rs79076914, HR = 1.7, 95% CI 1.41-2.05, p = 3.15 × 10-8), LINC01194 (rs79498125, HR = 1.86, 95% CI 1.49-2.31, p = 2.84 × 10-8), ARID5B (rs2167710, HR = 1.5, 95% CI 1.31-1.73, p = 6.9 × 10-9) and CT49 (rs32250, HR = 1.44, 95% CI1.26-1.64, p = 2.6 × 10-8); recipient genomes at PILRB with TRM (rs141591562, HR = 2.33, 95% CI 1.74-3.12, p = 1.26 × 10-8) and donor-recipient genotype mismatch between EPGN and MTHF2DL with TRM (rs75868097, HR = 2.66, 95% CI 1.92-3.58, p = 4.6 × 10-9). Results publicly available at https://fuma.ctglab.nl/browse. INTERPRETATION These data provide the first evidence that non-HLA common genetic variation at novel loci with biochemical function significantly impacts 1-year URD-BMT survival. Our findings have implications for donor selection, could guide treatment strategies and provide individualized risk prediction after future validation and functional studies. FUNDING This project was funded by grants from the National Institutes of Health, USA.
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Affiliation(s)
- Theresa Hahn
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Junke Wang
- College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Leah M. Preus
- Department of Epidemiology and Environmental Health, State University of New York at Buffalo, Buffalo, NY, USA
| | - Ezgi Karaesmen
- College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Abbas Rizvi
- College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Alyssa I. Clay-Gilmour
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Qianqian Zhu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Yiwen Wang
- College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Li Yan
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Song Liu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Daniel O. Stram
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Loreall Pooler
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Xin Sheng
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Christopher A. Haiman
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - David Van Den Berg
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Amy Webb
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Guy Brock
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Stephen R. Spellman
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, USA
| | - Kenan Onel
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Philip L. McCarthy
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Marcelo C. Pasquini
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Lara E. Sucheston-Campbell
- College of Pharmacy, The Ohio State University, Columbus, OH, USA
- College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA
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3
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Pre-HCT mosaicism increases relapse risk and lowers survival in acute lymphoblastic leukemia patients post-unrelated HCT. Blood Adv 2021; 5:66-70. [PMID: 33570634 DOI: 10.1182/bloodadvances.2020003366] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 11/13/2020] [Indexed: 12/11/2022] Open
Abstract
Key Points
Pre-HCT mosaicism is related to increased relapse risk and lower survival after unrelated HCT, independent of cytogenetics at diagnosis. Pre-HCT mosaicism could be a useful clinical tool to guide risk stratification in acute lymphoblastic leukemia patients.
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4
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Tang H, Hahn T, Karaesmen E, Rizvi AA, Wang J, Paczesny S, Wang T, Preus L, Zhu Q, Wang Y, Haiman CA, Stram D, Pooler L, Sheng X, Van Den Berg D, Brock G, Webb A, Pasquini MC, McCarthy PL, Spellman SR, Sucheston-Campbell LE. Validation of genetic associations with acute GVHD and nonrelapse mortality in DISCOVeRY-BMT. Blood Adv 2019; 3:2337-2341. [PMID: 31391166 PMCID: PMC6693017 DOI: 10.1182/bloodadvances.2019000052] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Accepted: 06/24/2019] [Indexed: 11/20/2022] Open
Affiliation(s)
- Hancong Tang
- Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH
| | - Theresa Hahn
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Ezgi Karaesmen
- Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH
| | - Abbas A Rizvi
- Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH
| | - Junke Wang
- Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH
| | - Sophie Paczesny
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN
| | - Tao Wang
- Center for International Blood and Marrow Transplant Research, Department of Medicine, and
- Division of Biostatistics, Institute for Health and Society, Medical College of Wisconsin, Milwaukee, WI
| | - Leah Preus
- Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH
| | - Qianqian Zhu
- Department of Biostatistics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Yiwen Wang
- Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH
| | - Christopher A Haiman
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Daniel Stram
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Loreall Pooler
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Xin Sheng
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA
| | - David Van Den Berg
- 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, Department of Medicine, and
| | - Philip L McCarthy
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Stephen R Spellman
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program, Minneapolis, MN; and
| | - Lara E Sucheston-Campbell
- Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH
- College of Veterinary Medicine, The Ohio State University, Columbus, OH
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5
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Walsh MF, Ritter DI, Kesserwan C, Sonkin D, Chakravarty D, Chao E, Ghosh R, Kemel Y, Wu G, Lee K, Kulkarni S, Hedges D, Mandelker D, Ceyhan-Birsoy O, Luo M, Drazer M, Zhang L, Offit K, Plon SE. Integrating somatic variant data and biomarkers for germline variant classification in cancer predisposition genes. Hum Mutat 2018; 39:1542-1552. [PMID: 30311369 PMCID: PMC6310222 DOI: 10.1002/humu.23640] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 08/29/2018] [Accepted: 08/30/2018] [Indexed: 12/20/2022]
Abstract
In its landmark paper about Standards and Guidelines for the Interpretation of Sequence Variants, the American College of Medical Genetics and Genomics (ACMG), and Association for Molecular Pathology (AMP) did not address how to use tumor data when assessing the pathogenicity of germline variants. The Clinical Genome Resource (ClinGen) established a multidisciplinary working group, the Germline/Somatic Variant Subcommittee (GSVS) with this focus. The GSVS implemented a survey to determine current practices of integrating somatic data when classifying germline variants in cancer predisposition genes. The GSVS then reviewed and analyzed available resources of relevant somatic data, and performed integrative germline variant curation exercises. The committee determined that somatic hotspots could be systematically integrated into moderate evidence of pathogenicity (PM1). Tumor RNA sequencing data showing altered splicing may be considered as strong evidence in support of germline pathogenicity (PVS1) and tumor phenotypic features such as mutational signatures be considered supporting evidence of pathogenicity (PP4). However, at present, somatic data such as focal loss of heterozygosity and mutations occurring on the alternative allele are not recommended to be systematically integrated, instead, incorporation of this type of data should take place under the advisement of multidisciplinary cancer center tumor-normal sequencing boards.
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Affiliation(s)
- Michael F Walsh
- Memorial Sloan Kettering Cancer Center, New York City, New York, USA
| | | | | | | | | | | | | | - Yelena Kemel
- Memorial Sloan Kettering Cancer Center, New York City, New York, USA
| | - Gang Wu
- St. Jude Children's Hospital, Memphis, Tennessee, USA
| | - Kristy Lee
- University of North Carolina, Chapel Hill, North Carolina, USA
| | | | - Dale Hedges
- St. Jude Children's Hospital, Memphis, Tennessee, USA
| | - Diana Mandelker
- Memorial Sloan Kettering Cancer Center, New York City, New York, USA
| | | | - Minjie Luo
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | | | - Liying Zhang
- Memorial Sloan Kettering Cancer Center, New York City, New York, USA
| | - Kenneth Offit
- Memorial Sloan Kettering Cancer Center, New York City, New York, USA
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6
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Genomic prediction of relapse in recipients of allogeneic haematopoietic stem cell transplantation. Leukemia 2018; 33:240-248. [PMID: 30089915 PMCID: PMC6326954 DOI: 10.1038/s41375-018-0229-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 06/21/2018] [Accepted: 07/17/2018] [Indexed: 02/06/2023]
Abstract
Allogeneic haematopoietic stem cell transplantation currently represents the primary potentially curative treatment for cancers of the blood and bone marrow. While relapse occurs in approximately 30% of patients, few risk-modifying genetic variants have been identified. The present study evaluates the predictive potential of patient genetics on relapse risk in a genome-wide manner. We studied 151 graft recipients with HLA-matched sibling donors by sequencing the whole-exome, active immunoregulatory regions, and the full MHC region. To assess the predictive capability and contributions of SNPs and INDELs, we employed machine learning and a feature selection approach in a cross-validation framework to discover the most informative variants while controlling against overfitting. Our results show that germline genetic polymorphisms in patients entail a significant contribution to relapse risk, as judged by the predictive performance of the model (AUC = 0.72 [95% CI: 0.63-0.81]). Furthermore, the top contributing variants were predictive in two independent replication cohorts (n = 258 and n = 125) from the same population. The results can help elucidate relapse mechanisms and suggest novel therapeutic targets. A computational genomic model could provide a step toward individualized prognostic risk assessment, particularly when accompanied by other data modalities.
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7
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Non-HLA genetic mismatches and BMT outcome. Blood 2018; 131:2409-2411. [DOI: 10.1182/blood-2018-04-844738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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8
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Zhu Q, Yan L, Liu Q, Zhang C, Wei L, Hu Q, Preus L, Clay-Gilmour AI, Onel K, Stram DO, Pooler L, Sheng X, Haiman CA, Zhu X, Spellman SR, Pasquini M, McCarthy PL, Liu S, Hahn T, Sucheston-Campbell LE. Exome chip analyses identify genes affecting mortality after HLA-matched unrelated-donor blood and marrow transplantation. Blood 2018; 131:2490-2499. [PMID: 29610366 PMCID: PMC5981168 DOI: 10.1182/blood-2017-11-817973] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 03/20/2018] [Indexed: 02/07/2023] Open
Abstract
Although survival outcomes have significantly improved, up to 40% of patients die within 1 year of HLA-matched unrelated-donor blood and marrow transplantation (BMT). To identify non-HLA genetic contributors to mortality after BMT, we performed the first exome-wide association study in the DISCOVeRY-BMT cohorts using the Illumina HumanExome BeadChip. This study includes 2473 patients with acute myeloid leukemia, acute lymphoblastic leukemia, or myelodysplastic syndrome and 2221 10/10 HLA-matched donors treated from 2000 to 2011. Single-variant and gene-level analyses were performed on overall survival (OS), transplantation-related mortality (TRM), and disease-related mortality (DRM). Genotype mismatches between recipients and donors in a rare nonsynonymous variant of testis-expressed gene TEX38 significantly increased risk of TRM, which was more dramatic when either the recipient or donor was female. Using the SKAT-O test to evaluate gene-level effects, variant genotypes of OR51D1 in recipients were significantly associated with OS and TRM. In donors, 4 (ALPP, EMID1, SLC44A5, LRP1), 1 (HHAT), and 2 genes (LYZL4, NT5E) were significantly associated with OS, TRM, and DRM, respectively. Inspection of NT5E crystal structures showed 4 of the associated variants affected the enzyme structure and likely decreased the catalytic efficiency of the enzyme. Further confirmation of these findings and additional functional studies may provide individualized risk prediction and prognosis, as well as alternative donor selection strategies.
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Affiliation(s)
- Qianqian Zhu
- Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY
| | - Li Yan
- Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY
| | - Qian Liu
- Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY
| | - Chi Zhang
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, NE
| | - Lei Wei
- Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY
| | - Qiang Hu
- Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY
| | - Leah Preus
- College of Pharmacy, The Ohio State University, Columbus, OH
| | | | - Kenan Onel
- Department of Pediatric Hematology/Oncology, Cohen Children's Medical Center, Northwell Health, Manhasset, NY
| | - Daniel O Stram
- Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Loreall Pooler
- Preventive Medicine, University of Southern California, Los Angeles, CA
| | - Xin Sheng
- Preventive Medicine, University of Southern California, Los Angeles, CA
| | | | - Xiaochun Zhu
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI
| | - Stephen R Spellman
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, MN
| | - Marcelo Pasquini
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI
| | - Philip L McCarthy
- Blood and Marrow Transplant Program, Department of Medicine, Roswell Park Cancer Institute, Buffalo, NY; and
| | - Song Liu
- Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY
| | - Theresa Hahn
- Blood and Marrow Transplant Program, Department of Medicine, Roswell Park Cancer Institute, Buffalo, NY; and
| | - 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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9
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Genetic association with B-cell acute lymphoblastic leukemia in allogeneic transplant patients differs by age and sex. Blood Adv 2017; 1:1717-1728. [PMID: 29296818 DOI: 10.1182/bloodadvances.2017006023] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Accepted: 07/07/2017] [Indexed: 11/20/2022] Open
Abstract
The incidence and mortality rates of B-cell acute lymphoblastic leukemia (B-ALL) differ by age and sex. To determine if inherited genetic susceptibility contributes to these differences we performed 2 genome-wide association studies (GWAS) by age, sex, and subtype and subsequent meta-analyses. The GWAS included 446 B-ALL cases, and 3027 healthy unrelated blood and marrow transplant (BMT) donors as controls from the Determining the Influence of Susceptibility Conveying Variants Related to One-Year Mortality after BMT (DISCOVeRY-BMT) study. We identified 1 novel variant, rs189434316, significantly associated with odds of normal cytogenetic B-ALL (odds ratio from meta-analysis [ORmeta] = 3.7; 95% confidence interval [CI], 2.5, 6.2; P value from meta-analysis [Pmeta] = 6.0 × 10-9). The previously reported pediatric B-ALL GWAS variant, rs11980379 (IKZF1), replicated in B-ALL pediatric patients (ORmeta = 2.3; 95% CI, 1.5, 3.7; Pmeta = 1.0 × 10-9), with evidence of heterogeneity (P = .02) between males and females. Sex differences in single-nucleotide polymorphism effect were seen in those >15 years (OR = 1.7; 95% CI, 1.4, 2.2, PMales = 6.38 × 10-6/OR = 1.1; 95% CI, 0.8, 1.5; PFemales = .6) but not ≤15 years (OR = 2.3; 95% CI, 1.4, 3.8; PMales = .0007/OR = 1.9; 95% CI, 1.2, 3.2; PFemales = .007). The latter association replicated in independent pediatric B-ALL cohorts. A previously identified adolescent and young-adult onset ALL-associated variant in GATA3 is associated with B-ALL risk in those >40 years. Our findings provide more evidence of the influence of genetics on B-ALL age of onset and we have shown the first evidence that IKZF1 associations with B-ALL may be sex and age specific.
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10
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Replication and validation of genetic polymorphisms associated with survival after allogeneic blood or marrow transplant. Blood 2017; 130:1585-1596. [PMID: 28811306 DOI: 10.1182/blood-2017-05-784637] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 08/02/2017] [Indexed: 12/11/2022] Open
Abstract
Multiple candidate gene-association studies of non-HLA single-nucleotide polymorphisms (SNPs) and outcomes after blood or marrow transplant (BMT) have been conducted. We identified 70 publications reporting 45 SNPs in 36 genes significantly associated with disease-related mortality, progression-free survival, transplant-related mortality, and/or overall survival after BMT. Replication and validation of these SNP associations were performed using DISCOVeRY-BMT (Determining the Influence of Susceptibility COnveying Variants Related to one-Year mortality after BMT), a well-powered genome-wide association study consisting of 2 cohorts, totaling 2888 BMT recipients with acute myeloid leukemia, acute lymphoblastic leukemia, or myelodysplastic syndrome, and their HLA-matched unrelated donors, reported to the Center for International Blood and Marrow Transplant Research. Gene-based tests were used to assess the aggregate effect of SNPs on outcome. None of the previously reported significant SNPs replicated at P < .05 in DISCOVeRY-BMT. Validation analyses showed association with one previously reported donor SNP at P < .05 and survival; more associations would be anticipated by chance alone. No gene-based tests were significant at P < .05. Functional annotation with publicly available data shows these candidate SNPs most likely do not have biochemical function; only 13% of candidate SNPs correlate with gene expression or are predicted to impact transcription factor binding. Of these, half do not impact the candidate gene of interest; the other half correlate with expression of multiple genes. These findings emphasize the peril of pursing candidate approaches and the importance of adequately powered tests of unbiased genome-wide associations with BMT clinical outcomes given the ultimate goal of improving patient outcomes.
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11
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Replication of associations between genetic polymorphisms and chronic graft-versus-host disease. Blood 2016; 128:2450-2456. [PMID: 27758874 DOI: 10.1182/blood-2016-07-728063] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Accepted: 09/20/2016] [Indexed: 12/27/2022] Open
Abstract
Previous studies have identified single-nucleotide polymorphisms (SNPs) associated with the risk of chronic graft-versus-host disease (GVHD) after allogeneic hematopoietic cell transplantation. The current study determined whether these associations could be replicated in large cohorts of donors and recipients. Each SNP was tested with cohorts of patients having the same donor type (HLA-matched related, unrelated, or both) reported in the original publication, and testing was limited to the same genome (recipient or donor) and genetic model (dominant, recessive, or allelic) reported in the original study. The 21 SNPs reported in this study represent 19 genes, and the analysis encompassed 22 SNP association tests. The hazard ratio (HR) point estimates and risk ratio point estimates corresponding to odds ratios in previous studies consistently fall outside the 95% confidence intervals of HR estimates in the current study. Despite the large size of the cohorts available for the current study, the 95% confidence intervals for most HRs did not exclude 1.0. Three SNPs representing CTLA4, HPSE, and IL1R1 showed evidence of association with the risk of chronic GVHD in unrelated donor-recipient pairs from 1 cohort, but none of these associations was replicated when tested in unrelated donor-recipient pairs from an independent cohort. Two SNPs representing CCR6 and FGFR1OP showed possible associations with the risk of chronic GVHD in related donor-recipient pairs but not in unrelated donor-recipient pairs. These results remain to be tested for replication in other cohorts of related donor-recipient pairs.
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12
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Role of Pharmacogenetics in Hematopoietic Stem Cell Transplantation Outcome in Children. Int J Mol Sci 2015; 16:18601-27. [PMID: 26266406 PMCID: PMC4581262 DOI: 10.3390/ijms160818601] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2015] [Revised: 06/21/2015] [Accepted: 07/28/2015] [Indexed: 12/18/2022] Open
Abstract
Hematopoietic stem cell transplantation (HSCT) is an established therapeutic procedure for several congenital and acquired disorders, both malignant and nonmalignant. Despite the great improvements in HSCT clinical practices over the last few decades, complications, such as graft vs. host disease (GVHD) and sinusoidal obstructive syndrome (SOS), are still largely unpredictable and remain the major causes of morbidity and mortality. Both donor and patient genetic background might influence the success of bone marrow transplantation and could at least partially explain the inter-individual variability in HSCT outcome. This review summarizes some of the recent studies on candidate gene polymorphisms in HSCT, with particular reference to pediatric cohorts. The interest is especially focused on pharmacogenetic variants affecting myeloablative and immunosuppressive drugs, although genetic traits involved in SOS susceptibility and transplant-related mortality are also reviewed.
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