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Ma L, Ramasubramanian R, Mehta NK, Cossette B, Morgan DM, Sukaj I, Bergaggio E, Kadauke S, Myers RM, Paruzzo L, Ghilardi G, Grzywa TM, Cozzone A, Schuster SJ, Frey N, Zhang L, Yousefpour P, Abraham W, Suh H, Ruella M, Grupp SA, Chiarle R, Wittrup KD, Irvine DJ. Directed evolution-based discovery of ligands for in vivo restimulation of CAR-T cells. bioRxiv 2024:2024.04.16.589780. [PMID: 38659938 PMCID: PMC11042270 DOI: 10.1101/2024.04.16.589780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Chimeric antigen receptor (CAR) T cell therapy targeting CD19 elicits remarkable clinical efficacy in B-cell malignancies, but many patients relapse due to failed expansion and/or progressive loss of CAR-T cells. We recently reported a strategy to potently restimulate CAR-T cells in vivo , enhancing their functionality by administration of a vaccine-like stimulus comprised of surrogate peptide ligands for a CAR linked to a lymph node-targeting amphiphilic PEG-lipid (termed CAR-T-vax). Here, we demonstrate a general strategy to generate and optimize peptide mimotopes enabling CAR-T-vax generation for any CAR. Using the clinical CD19 CAR FMC63 as a test case, we employed yeast surface display to identify peptide binders to soluble IgG versions of FMC63, which were subsequently affinity matured by directed evolution. CAR-T vaccines using these optimized mimotopes triggered marked expansion of both murine CD19 CAR-T cells in a syngeneic model and human CAR-T cells in a humanized mouse model of B cell acute lymphoblastic leukemia (B-ALL), and enhanced control of leukemia progression. This approach thus enables vaccine boosting to be applied to any clinically-relevant CAR-T cell product.
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Newman H, Li Y, Huang YV, Elgarten CW, Myers RM, Ruiz J, Zheng DJ, Leahy AB, Aftandilian C, Arnold SD, Bona K, Gramatges MM, Heneghan MB, Maloney KW, Modi AJ, Mody RJ, Morgan E, Rubnitz J, Winick N, Wilkes JJ, Seif AE, Fisher BT, Aplenc R, Getz KD. Household income and health-related quality of life in children receiving treatment for acute myeloid leukemia: Potential impact of selection bias in health equity research. Cancer Med 2024; 13:e6966. [PMID: 38572962 PMCID: PMC10993703 DOI: 10.1002/cam4.6966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 12/28/2023] [Accepted: 01/15/2024] [Indexed: 04/05/2024] Open
Abstract
OBJECTIVE Examine the influence of household income on health-related quality of life (HRQOL) among children with newly diagnosed acute myeloid leukemia (AML). DESIGN Secondary analysis of data prospectively collected from pediatric patients receiving treatment for AML at 14 hospitals across the United States. EXPOSURE Household income was self-reported on a demographic survey. The examined mediators included the acuity of presentation and treatment toxicity. OUTCOME Caregiver proxy reported assessment of patient HRQOL from the Peds QL 4.0 survey. RESULT Children with AML (n = 131) and caregivers were prospectively enrolled to complete PedsQL assessments. HRQOL scores were better for patients in the lowest versus highest income category (mean ± SD: 76.0 ± 14 household income <$25,000 vs. 59.9 ± 17 income ≥$75,000; adjusted mean difference: 11.2, 95% CI: 2.2-20.2). Seven percent of enrolled patients presented with high acuity (ICU-level care in the first 72 h), and 16% had high toxicity (any ICU-level care); there were no identifiable differences by income, refuting mediating roles in the association between income and HRQOL. Enrolled patients were less likely to be Black/African American (9.9% vs. 22.2%), more likely to be privately insured (50.4% vs. 40.7%), and more likely to have been treated on a clinical trial (26.7% vs. 18.5%) compared to eligible unenrolled patients not enrolled. Evaluations of potential selection bias on the association between income and HRQOL suggested differences in HRQOL may be smaller than observed or even in the opposing direction. CONCLUSIONS While primary analyses suggested lower household income was associated with superior HRQOL, differential participation may have biased these results. Future studies should partner with patients/families to identify strategies for equitable participation in clinical research.
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Affiliation(s)
- Haley Newman
- Division of Oncology, Department of PediatricsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of PediatricsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Yimei Li
- Department of PediatricsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Biostatistics, Epidemiology, and InformaticsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Yuan‐Shung V. Huang
- Department of Biomedical and Health InformaticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Caitlin W. Elgarten
- Division of Oncology, Department of PediatricsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of PediatricsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Regina M. Myers
- Division of Oncology, Department of PediatricsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of PediatricsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Jenny Ruiz
- Division of Hematology‐Oncology, Department of PediatricsUPMC Children's Hospital of PittsburghPittsburghPennsylvaniaUSA
| | - Daniel J. Zheng
- Division of Oncology, Department of PediatricsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Alison Barz Leahy
- Division of Oncology, Department of PediatricsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of PediatricsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Catherine Aftandilian
- Division of Pediatric Hematology‐Oncology, Stem Cell Transplant and Regenerative Medicine, Department of PediatricsStanford UniversityStanfordCaliforniaUSA
| | - Staci D. Arnold
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of AtlantaEmory University School of MedicineAtlantaGeorgiaUSA
| | - Kira Bona
- Division of Population Sciences, Department of Pediatric OncologyDana‐Farber Cancer InstituteBostonMassachusettsUSA
| | - M. Monica Gramatges
- Division of Pediatric Hematology‐Oncology, Department of PediatricsTexas Children's Hospital, Baylor College of MedicineHoustonTexasUSA
| | - Mallorie B. Heneghan
- Division of Pediatric Hematology‐Oncology, Department of PediatricsUniversity of UtahSalt Lake CityUtahUSA
| | - Kelly W. Maloney
- Department of Pediatrics‐Hematology/Oncology and Bone Marrow Transplant, University of Colorado Cancer CenterChildren's Hospital ColoradoAuroraColoradoUSA
| | - Arunkumar J. Modi
- Division of Hematology Oncology, Department of PediatricsUniversity of Arkansas for Medical Sciences, Arkansas Children's HospitalLittle RockArkansasUSA
| | - Rajen J. Mody
- Department of PediatricsUniversity of Michigan Medical SchoolAnn ArborMichiganUSA
| | - Elaine Morgan
- Department of PediatricsAnn & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Jeffrey Rubnitz
- Department of OncologySt. Jude Children's Research HospitalMemphisTennesseeUSA
| | - Naomi Winick
- Department of Pediatric Hematology OncologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - Jennifer J. Wilkes
- Division of Cancer and Blood Disorders, Department of PediatricsUniversity of Washington School of MedicineSeattleWashingtonUSA
| | - Alix E. Seif
- Division of Oncology, Department of PediatricsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of PediatricsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Center for Childhood Cancer ResearchChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Brian T. Fisher
- Center for Childhood Cancer ResearchChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Division of Infectious Disease, Department of PediatricsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Richard Aplenc
- Division of Oncology, Department of PediatricsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of PediatricsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Center for Childhood Cancer ResearchChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Kelly D. Getz
- Department of PediatricsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Biostatistics, Epidemiology, and InformaticsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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Myers RM, Devine K, Li Y, Lawrence S, Leahy AB, Liu H, Vernau L, Callahan C, Baniewicz D, Kadauke S, McGuire R, Wertheim GB, Kulikovskaya I, Gonzalez VE, Fraietta JA, DiNofia AM, Hunger SP, Rheingold SR, Aplenc R, June CH, Grupp SA, Wray L, Maude SL. Reinfusion of CD19 CAR T Cells for Relapse Prevention and Treatment in Children with Acute Lymphoblastic Leukemia. Blood Adv 2024; 8:bloodadvances.2024012885. [PMID: 38386999 PMCID: PMC11061218 DOI: 10.1182/bloodadvances.2024012885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 02/11/2024] [Indexed: 02/24/2024] Open
Abstract
Relapse after CD19-directed chimeric antigen receptor (CAR)-modified T-cells remains a substantial challenge. Short CAR T-cell persistence contributes to relapse risk, necessitating novel approaches to prolong durability. CAR T-cell reinfusion (CARTr) represents a potential strategy to reduce the risk of, or treat, relapsed disease after initial CAR infusion (CARTi). We conducted a retrospective review of reinfusion of murine (CTL019) or humanized (huCART19) anti-CD19.4-1BB CAR T-cells across 3 clinical trials or commercial tisagenlecleucel for relapse prevention [peripheral B-cell recovery (BCR) or bone marrow hematogones ≤6 months after CARTi], minimal residual disease (MRD) or relapse, or nonresponse to CARTi. The primary endpoint was complete response (CR) at day 28 after CARTr, defined as complete remission with B-cell aplasia. Of 262 primary treatments, 81 were followed by ≥1 reinfusion (investigational CTL019, n=44; huCART19, n=26; tisagenlecleucel, n=11), representing 79 unique patients. Of 63 reinfusions for relapse prevention, 52% achieved CR (BCR, 15/40, 38%; hematogones, 18/23, 78%). Lymphodepletion was associated with response to CARTr for BCR (OR 33.57, P = 0.015), but not hematogones (OR 0.30, P = 0.291). The cumulative incidence of relapse was 29% at 24-months for CR versus 61% for nonresponse to CARTr (P=0.259). For MRD/relapse, CR rate to CARTr was 50% (5/10), but 0/8 for nonresponse to CARTi. Toxicity was generally mild, with the only grade ≥3 cytokine release syndrome (n=6) or neurotoxicity (n=1) observed in MRD/relapse treatment. Reinfusion of CTL019/tisagenlecleucel or huCART19 is safe, may reduce relapse risk in a subset of patients, and can reinduce remission in CD19-positive relapse.
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Affiliation(s)
- Regina M. Myers
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Kaitlin Devine
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Yimei Li
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sophie Lawrence
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Allison Barz Leahy
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Hongyan Liu
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Lauren Vernau
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Colleen Callahan
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Diane Baniewicz
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Stephan Kadauke
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Regina McGuire
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Gerald B. Wertheim
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Irina Kulikovskaya
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Vanessa E. Gonzalez
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Joseph A. Fraietta
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Amanda M. DiNofia
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Stephen P. Hunger
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Susan R. Rheingold
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Richard Aplenc
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Carl H. June
- Parker Institute for Cancer Immunotherapy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Stephan A. Grupp
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Lisa Wray
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Shannon L. Maude
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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Myers RM, Grupp SA. Driving two chimeric antigen receptors (CARs) in a row to reduce antigen escape in B-cell acute lymphocytic leukaemia. Lancet Oncol 2023; 24:1163-1164. [PMID: 37863087 DOI: 10.1016/s1470-2045(23)00517-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 09/29/2023] [Accepted: 09/29/2023] [Indexed: 10/22/2023]
MESH Headings
- Humans
- Receptors, Chimeric Antigen/genetics
- Antigenic Drift and Shift
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/therapy
- Immunotherapy, Adoptive
- Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics
- Precursor Cell Lymphoblastic Leukemia-Lymphoma/therapy
- Receptors, Antigen, T-Cell
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Affiliation(s)
- Regina M Myers
- Division of Oncology, Cell Therapy and Transplant Section, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Stephan A Grupp
- Division of Oncology, Cell Therapy and Transplant Section, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Schultz L, Jacoby E, Lamble AJ, Maude SL, McNerney KO, Moskop A, Myers RM, Pulsipher MA, Shah NN. Introduction to the Reports from the Insights in Pediatric CAR T-cell Immunotherapy: Recent Advances and Future Directions (INSPIRED) Symposium. Transplant Cell Ther 2023; 29:592-593. [PMID: 37442348 DOI: 10.1016/j.jtct.2023.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 07/07/2023] [Indexed: 07/15/2023]
Affiliation(s)
- Liora Schultz
- Department of Pediatrics, Stanford University, Palo Alto, CA, USA.
| | - Elad Jacoby
- Pediatric Hemato-Oncology, Sheba Medical Center and Tel Aviv University, Tel Aviv, Israel
| | - Adam J Lamble
- Division of Hematology/Oncology, University of Washington, Seattle Children's Hospital, Seattle, WA, USA
| | - Shannon L Maude
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kevin O McNerney
- Department of Pediatric Hematology, Oncology and Bone Marrow Transplantation, Northwestern University, Lurie Children's Hospital, Chicago, IL
| | - Amy Moskop
- Division of Pediatric Hematology/Oncology/Blood and Marrow Transplant, Department of Pediatrics, Medical Collee of Wisconsin, Children's Wisconsin, Milwaukee, WI, USA
| | - Regina M Myers
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Michael A Pulsipher
- Division of Hematology and Oncology, Primary Children's Hospital, Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT, USA
| | - Nirali N Shah
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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Myers RM, Jacoby E, Pulsipher MA, Pasquini MC, Grupp SA, Shah NN, Laetsch TW, Curran KJ, Schultz LM. INSPIRED Symposium Part 1: Clinical Variables Associated with Improved Outcomes for Children and Young Adults treated with Chimeric Antigen Receptor T cells for B cell Acute Lymphoblastic Leukemia. Transplant Cell Ther 2023; 29:598-607. [PMID: 37481241 PMCID: PMC11031134 DOI: 10.1016/j.jtct.2023.07.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 07/16/2023] [Indexed: 07/24/2023]
Abstract
Chimeric antigen receptor (CAR) T cell therapy (CAR-T) targeting the CD19 antigen on B cell acute lymphoblastic leukemia (B-ALL) has transitioned from a highly investigational therapy with limited access to a commercial therapy with established toxicities, response and survival rates, and access in numerous countries. With more than a decade of clinical study and 5 years of commercial access, data showing associations with success and failure have emerged. To address functional limitations of CAR-T and overcome constrained sample sizes when studying single-trial or single-center data, collaborative groups, including the Pediatric Real World CAR Consortium, the CAR-Multicenter Analysis, the Center for International Blood and Marrow Transplant Research, and the International BFM Study Group, among others, have been retrospectively interrogating the amassed clinical experience. The high patient numbers and varied clinical experiences compiled by these groups have defined clinical variables impacting CAR-T outcomes. Here we review published CAR-T trials and consortium/collaborative outcomes to establish variables associated with optimal response to CAR-T in children and young adults with B-ALL. We focus on findings with clinical relevance that have emerged, including data implicating pretreatment disease burden, presence of extramedullary disease, nonresponse to prior CD19 antigen targeting (blinatumomab therapy), CAR T cell dose, and fludarabine pharmacokinetics as factors impacting post-CAR-T survival. Additionally, we address the role of collaborative efforts going forward in guiding clinical practice evolution and further optimizing post-CAR-T outcomes.
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Affiliation(s)
- Regina M Myers
- Division of Oncology, Center for Childhood Cancer Research and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Elad Jacoby
- Division of Pediatric Hematology, Oncology and BMT, The Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel
| | - Michael A Pulsipher
- Intermountain Primary Children's Hospital, Huntsman Cancer Institute, Spencer Fox Eccles School of Medicine at the University of Utah, Salt Lake City, Utah
| | - Marcelo C Pasquini
- Medical College of Wisconsin/Center for International Blood and Marrow Transplant Research, Milwaukee, Wisconsin
| | - Stephan A Grupp
- Division of Oncology, Center for Childhood Cancer Research and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Nirali N Shah
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Theodore W Laetsch
- Division of Oncology, Center for Childhood Cancer Research and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Kevin J Curran
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Liora M Schultz
- Department of Pediatrics, Division of Hematology and Oncology, Stanford University School of Medicine, Palo Alto, California, USA.
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Myers RM, Shah NN, Pulsipher MA. How I use risk factors for success or failure of CD19 CAR T cells to guide management of children and AYA with B-cell ALL. Blood 2023; 141:1251-1264. [PMID: 36416729 PMCID: PMC10082355 DOI: 10.1182/blood.2022016937] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 11/17/2022] [Accepted: 11/20/2022] [Indexed: 11/24/2022] Open
Abstract
By overcoming chemotherapeutic resistance, chimeric antigen receptor (CAR) T cells facilitate deep, complete remissions and offer the potential for long-term cure in a substantial fraction of patients with chemotherapy refractory disease. However, that success is tempered with 10% to 30% of patients not achieving remission and over half of patients treated eventually experiencing relapse. With over a decade of experience using CAR T cells in children, adolescents, and young adults (AYA) to treat relapsed/refractory B-cell acute lymphoblastic leukemia (B-ALL) and 5 years since the first US Food and Drug Administration approval, data defining the nuances of patient-specific risk factors are emerging. With the commercial availability of 2 unique CD19 CAR T-cell constructs for B-ALL, in this article, we review the current literature, outline our approach to patients, and discuss how individual factors inform strategies to optimize outcomes in children and AYA receiving CD19 CAR T cells. We include data from both prospective and recent large retrospective studies that offer insight into understanding when the risks of CAR T-cell therapy failure are high and offer perspectives suggesting when consolidative hematopoietic cell transplantation or experimental CAR T-cell and/or alternative immunotherapy should be considered. We also propose areas where prospective trials addressing the optimal use of CAR T-cell therapy are needed.
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Affiliation(s)
- Regina M. Myers
- Division of Oncology, Cell Therapy and Transplant Section, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Nirali N. Shah
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Michael A. Pulsipher
- Division of Hematology and Oncology, Intermountain Primary Children’s Hospital, Huntsman Cancer Institute, Spencer Fox Eccles School of Medicine at the University of Utah, Salt Lake City, UT
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Newman H, Li Y, Liu H, Myers RM, Tam V, DiNofia A, Wray L, Rheingold SR, Callahan C, White C, Baniewicz D, Winestone LE, Kadauke S, Diorio C, June CH, Getz KD, Aplenc R, Teachey DT, Maude SL, Grupp SA, Bona K, Leahy AB. Impact of poverty and neighborhood opportunity on outcomes for children treated with CD19-directed CAR T-cell therapy. Blood 2023; 141:609-619. [PMID: 36351239 PMCID: PMC9979709 DOI: 10.1182/blood.2022017866] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/08/2022] [Accepted: 09/25/2022] [Indexed: 11/11/2022] Open
Abstract
Children living in poverty experience excessive relapse and death from newly diagnosed acute lymphoblastic leukemia (ALL). The influence of household poverty and neighborhood social determinants on outcomes from chimeric antigen receptor (CAR) T-cell therapy for relapsed/refractory (r/r) leukemia is poorly described. We identified patients with r/r CD19+ ALL/lymphoblastic lymphoma treated on CD19-directed CAR T-cell clinical trials or with commercial tisagenlecleucel from 2012 to 2020. Socioeconomic status (SES) was proxied at the household level, with poverty exposure defined as Medicaid-only insurance. Low-neighborhood opportunity was defined by the Childhood Opportunity Index. Among 206 patients aged 1 to 29, 35.9% were exposed to household poverty, and 24.9% had low-neighborhood opportunity. Patients unexposed to household poverty or low-opportunity neighborhoods were more likely to receive CAR T-cell therapy with a high disease burden (>25%), a disease characteristic associated with inferior outcomes, as compared with less advantaged patients (38% vs 30%; 37% vs 26%). Complete remission (CR) rate was 93%, with no significant differences by household poverty (P = .334) or neighborhood opportunity (P = .504). In multivariate analysis, patients from low-opportunity neighborhoods experienced an increased hazard of relapse as compared with others (P = .006; adjusted hazard ratio [HR], 2.3; 95% confidence interval [CI], 1.3-4.1). There was no difference in hazard of death (P = .545; adjusted HR, 1.2; 95% CI, 0.6-2.4). Among children who successfully receive CAR T-cell therapy, CR and overall survival are equitable regardless of proxied SES and neighborhood opportunity. Children from more advantaged households and neighborhoods receive CAR T-cell therapy with a higher disease burden. Investigation of multicenter outcomes and access disparities outside of clinical trial settings is warranted.
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Affiliation(s)
- Haley Newman
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Yimei Li
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Hongyan Liu
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Regina M. Myers
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Vicky Tam
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Amanda DiNofia
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Lisa Wray
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Susan R. Rheingold
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Colleen Callahan
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Claire White
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Diane Baniewicz
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Lena E. Winestone
- Division of Allergy, Immunology, and Blood & Marrow Transplant, Department of Pediatrics, UCSF Benioff Children’s Hospitals, San Francisco, CA
| | - Stephan Kadauke
- Division of Transfusion Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Caroline Diorio
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Carl H. June
- Parker Institute for Cancer Immunotherapy, University of Pennsylvania, Philadelphia, PA
| | - Kelly D. Getz
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Richard Aplenc
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - David T. Teachey
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Shannon L. Maude
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Stephan A. Grupp
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Kira Bona
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, Boston Children’s Hospital, Boston, MA
- Department of Pediatric Oncology and Division of Population Sciences, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | - Allison Barz Leahy
- Division of Oncology and Cancer Immunotherapy Program, Children’s Hospital of Philadelphia, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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9
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Molina JC, Li Y, Otto WR, Miller TP, Getz KD, Mccoubrey C, Ramos M, Krause E, Cao L, Gramatges MM, Rabin K, Scheurer M, Elgarten CW, Myers RM, Seif AE, Fisher BT, Shah NN, Aplenc R. Absolute lymphocyte count recovery following initial acute myelogenous leukemia therapy: Implications for adoptive cell therapy. Pediatr Blood Cancer 2023; 70:e30062. [PMID: 36370087 PMCID: PMC10823592 DOI: 10.1002/pbc.30062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/03/2022] [Accepted: 09/15/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND An adequate absolute lymphocyte count (ALC) is an essential first step in autologous chimeric antigen receptor (CAR) T-cell manufacturing. For patients with acute myelogenous leukemia (AML), the intensity of chemotherapy received may affect adequate ALC recovery required for CAR T-cell production. We sought to analyze ALC following each course of upfront therapy as one metric for CAR T-cell manufacturing feasibility in children and young adults with AML. PROCEDURE ALC data were collected from an observational study of patients with newly diagnosed AML between the ages of 1 month and 21 years who received treatment between the years of 2006 and 2018 at one of three hospitals in the Leukemia Electronic Abstraction of Records Network (LEARN) consortium. RESULTS Among 193 patients with sufficient ALC data for analysis, the median ALC following induction 1 was 1715 cells/μl (interquartile range: 1166-2388), with successive decreases in ALC with each subsequent course. Similarly, the proportion of patients achieving an ALC >400 cells/μl decreased following each course, ranging from 98.4% (190/193) after course 1 to 66.7% (22/33) for patients who received a fifth course of therapy. CONCLUSIONS There is a successive decline of ALC recovery with subsequent courses of chemotherapy. Despite this decline, ALC values are likely sufficient to consider apheresis prior to the initiation of each course of upfront therapy for the majority of newly diagnosed pediatric AML patients, thereby providing a window of opportunity for T-cell collection for those patients identified at high risk of relapse or with refractory disease.
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Affiliation(s)
- John C. Molina
- Pediatric Oncology Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
- Department of Hematology and Medical Oncology, Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio, USA
| | - Yimei Li
- Division of Oncology, Department of Pediatrics, Center for Childhood Cancer Research, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - William R. Otto
- Department of Pediatrics, Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Tamara P. Miller
- Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
- Department of Pediatrics, Emory University, Atlanta, Georgia, USA
| | - Kelly D. Getz
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Center for Pediatric Clinical Effectiveness, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Carly Mccoubrey
- Division of Oncology, Department of Pediatrics, Center for Childhood Cancer Research, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mark Ramos
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Edward Krause
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Lusha Cao
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - M. Monica Gramatges
- Pediatric Hematology/Oncology, Baylor College of Medicine/Texas Children’s Hospital, Houston, Texas, USA
- Pediatric Cardio-Oncology Program, Baylor College of Medicine/Texas Children’s Hospital, Houston,Texas, USA
| | - Karen Rabin
- Pediatric Hematology/Oncology, Baylor College of Medicine/Texas Children’s Hospital, Houston, Texas, USA
| | - Michael Scheurer
- Pediatric Hematology/Oncology, Baylor College of Medicine/Texas Children’s Hospital, Houston, Texas, USA
| | - Caitlin W. Elgarten
- Division of Oncology, Department of Pediatrics, Center for Childhood Cancer Research, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Regina M. Myers
- Division of Oncology, Department of Pediatrics, Center for Childhood Cancer Research, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alix E. Seif
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Brian T. Fisher
- Department of Pediatrics, Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Center for Pediatric Clinical Effectiveness, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Nirali N. Shah
- Pediatric Oncology Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Richard Aplenc
- Division of Oncology, Department of Pediatrics, Center for Childhood Cancer Research, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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10
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Hsieh EM, Myers RM, Yates B, Annesley C, John S, Taraseviciute A, Steinberg SM, Sheppard J, Chung P, Chen L, Lee DW, DiNofia A, Grupp SA, Verneris MR, Laetsch TW, Bhojwani D, Brown PA, Pulsipher MA, Rheingold SR, Gardner RA, Gore L, Shah NN, Lamble AJ. Low rate of subsequent malignant neoplasms after CD19 CAR T-cell therapy. Blood Adv 2022; 6:5222-5226. [PMID: 35834728 PMCID: PMC9631644 DOI: 10.1182/bloodadvances.2022008093] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 07/05/2022] [Indexed: 12/03/2022] Open
Affiliation(s)
- Emily M. Hsieh
- Division of Hematology/Oncology/Transplantation and Cellular Therapy, Children’s Hospital Los Angeles Cancer and Blood Disease Institute, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Regina M. Myers
- Division of Oncology, Cell Therapy and Transplant Section, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Bonnie Yates
- Pediatric Oncology Branch, National Cancer Institute/Center for Cancer Research, National Institutes of Health, Bethesda, MD
| | - Colleen Annesley
- Division of Hematology/Oncology, University of Washington, Seattle Children’s Hospital, Seattle, WA
| | - Samuel John
- Biostatistics and Data Management Section, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Agne Taraseviciute
- Division of Hematology/Oncology/Transplantation and Cellular Therapy, Children’s Hospital Los Angeles Cancer and Blood Disease Institute, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Seth M. Steinberg
- Biostatistics and Data Management Section, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jennifer Sheppard
- Division of Pediatric Hematology/Oncology, Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX
| | - Perry Chung
- Division of Oncology, Cell Therapy and Transplant Section, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Lee Chen
- Division of Hematology/Oncology/Transplantation and Cellular Therapy, Children’s Hospital Los Angeles Cancer and Blood Disease Institute, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Daniel W. Lee
- Pediatric Oncology Branch, National Cancer Institute/Center for Cancer Research, National Institutes of Health, Bethesda, MD
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Virginia, Charlottesville, VA
| | - Amanda DiNofia
- Division of Oncology, Cell Therapy and Transplant Section, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Stephan A. Grupp
- Division of Oncology, Cell Therapy and Transplant Section, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Michael R. Verneris
- Pediatric Hematology/Oncology/BMT-CT, University of Colorado, Children’s Hospital Colorado, Aurora, CO
| | - Theodore W. Laetsch
- Division of Oncology, Cell Therapy and Transplant Section, Children’s Hospital of Philadelphia, Philadelphia, PA
- Division of Pediatric Hematology/Oncology, Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX
| | - Deepa Bhojwani
- Division of Hematology/Oncology/Transplantation and Cellular Therapy, Children’s Hospital Los Angeles Cancer and Blood Disease Institute, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Patrick A. Brown
- Division of Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD; and
| | - Michael A. Pulsipher
- Division of Hematology/Oncology/Transplantation and Cellular Therapy, Children’s Hospital Los Angeles Cancer and Blood Disease Institute, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Division of Hematology and Oncology, Intermountain Primary Children’s Hospital, Huntsman Cancer Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT
| | - Susan R. Rheingold
- Division of Oncology, Cell Therapy and Transplant Section, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Rebecca A. Gardner
- Division of Hematology/Oncology, University of Washington, Seattle Children’s Hospital, Seattle, WA
| | - Lia Gore
- Pediatric Hematology/Oncology/BMT-CT, University of Colorado, Children’s Hospital Colorado, Aurora, CO
| | - Nirali N. Shah
- Pediatric Oncology Branch, National Cancer Institute/Center for Cancer Research, National Institutes of Health, Bethesda, MD
| | - Adam J. Lamble
- Division of Hematology/Oncology, University of Washington, Seattle Children’s Hospital, Seattle, WA
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11
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Li Y, Hwang WT, Maude SL, Teachey DT, Frey NV, Myers RM, Barz Leahy A, Liu H, Porter DL, Grupp SA, Shaw PA. Statistical considerations for analyses of time-to-event endpoints in oncology clinical trials: Illustrations with CAR-T immunotherapy studies. Clin Cancer Res 2022; 28:3940-3949. [PMID: 35838646 DOI: 10.1158/1078-0432.ccr-22-0560] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 06/06/2022] [Accepted: 07/13/2022] [Indexed: 11/16/2022]
Abstract
Chimeric antigen receptor T-cell (CAR-T) therapy is an exciting development in the field of cancer immunology and has received a lot of interest in recent years. Many time-to-event (TTE) endpoints related to relapse, disease progression, and remission are analyzed in CAR-T studies to assess treatment efficacy. Definitions of these TTE endpoints are not always consistent, even for the same outcomes (e.g., progression-free survival), which often stems from analysis choices regarding which events to consider as part of the composite endpoint, censoring or competing risk in the analysis. Subsequent therapies such as hematopoietic stem cell transplantation are common but are not treated the same in different studies. Standard survival analysis methods are commonly applied to TTE analyses but often without full consideration of the assumptions inherent in the chosen analysis. We highlight two important issues of TTE analysis that arise in CAR-T studies, as well as in other settings in oncology: the handling of competing risks and assessing the association between a time-varying (post-infusion) exposure and the TTE outcome. We review existing analytical methods, including the cumulative incidence function and regression models for analysis of competing risks, and landmark and time-varying covariate analysis for analysis of post-infusion exposures. We clarify the scientific questions that the different analytical approaches address and illustrate how the application of an inappropriate method could lead to different results using data from multiple published CAR-T studies. Codes for implementing these methods in standard statistical software are provided.
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Affiliation(s)
- Yimei Li
- University of Pennsylvania and The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Wei-Ting Hwang
- University of Pennsylvania, Philadelphia, PA, United States
| | - Shannon L Maude
- Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - David T Teachey
- Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Noelle V Frey
- University of Pennsylvania, Philadelphia, United States
| | - Regina M Myers
- Children's Hospital of Philadelphia, Philadelphia, United States
| | | | - Hongyan Liu
- Children's Hospital of Philadelphia, United States
| | - David L Porter
- University of Pennsylvania, Philadelphia, PA, United States
| | - Stephan A Grupp
- Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Pamela A Shaw
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
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12
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Bai Z, Woodhouse S, Zhao Z, Arya R, Govek K, Kim D, Lundh S, Baysoy A, Sun H, Deng Y, Xiao Y, Barrett DM, Myers RM, Grupp SA, June CH, Fan R, Camara PG, Melenhorst JJ. Single-cell antigen-specific landscape of CAR T infusion product identifies determinants of CD19-positive relapse in patients with ALL. Sci Adv 2022; 8:eabj2820. [PMID: 35675405 PMCID: PMC9177075 DOI: 10.1126/sciadv.abj2820] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
A notable number of acute lymphoblastic leukemia (ALL) patients develop CD19-positive relapse within 1 year after receiving chimeric antigen receptor (CAR) T cell therapy. It remains unclear if the long-term response is associated with the characteristics of CAR T cells in infusion products, hindering the identification of biomarkers to predict therapeutic outcomes. Here, we present 101,326 single-cell transcriptomes and surface protein landscape from the infusion products of 12 ALL patients. We observed substantial heterogeneity in the antigen-specific activation states, among which a deficiency of T helper 2 function was associated with CD19-positive relapse compared with durable responders (remission, >54 months). Proteomic data revealed that the frequency of early memory T cells, rather than activation or coinhibitory signatures, could distinguish the relapse. These findings were corroborated by independent functional profiling of 49 patients, and an integrative model was developed to predict the response. Our data unveil the molecular mechanisms that may inform strategies to boost specific T cell function to maintain long-term remission.
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Affiliation(s)
- Zhiliang Bai
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Steven Woodhouse
- Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ziran Zhao
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Parker Institute for Cancer Immunotherapy at University of Pennsylvania, Philadelphia, PA 19104, USA
- Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44106, USA
| | - Rahul Arya
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kiya Govek
- Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Dongjoo Kim
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Stefan Lundh
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alev Baysoy
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Hongxing Sun
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yanxiang Deng
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Yang Xiao
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - David M. Barrett
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Regina M. Myers
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephan A. Grupp
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Carl H. June
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Parker Institute for Cancer Immunotherapy at University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA
- Human and Translational Immunology, Yale School of Medicine, New Haven, CT 06520, USA
- Corresponding author. (R.F.); (P.G.C.); (J.J.M.)
| | - Pablo G. Camara
- Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Corresponding author. (R.F.); (P.G.C.); (J.J.M.)
| | - J. Joseph Melenhorst
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Parker Institute for Cancer Immunotherapy at University of Pennsylvania, Philadelphia, PA 19104, USA
- Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44106, USA
- Corresponding author. (R.F.); (P.G.C.); (J.J.M.)
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13
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Newman H, Li Y, Liu H, Tam V, Myers RM, DiNofia AM, Callahan C, White CM, Baniewicz D, Kadauke S, Diorio C, Teachey DT, Rheingold SR, Getz KD, June CH, Aplenc R, Maude SL, Grupp SA, Bona K, Barz Leahy AE. Impact of socioeconomic status on survival after CD19 CART therapy. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.7013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
7013 Background: CD19-directed chimeric antigen receptor T cell (CART) therapy has dramatically improved survival for children with relapsed/refractory (r/r) B-cell acute lymphoblastic leukemia (B-ALL). While significant socioeconomic (SES) outcome disparities exist for children with newly diagnosed B-ALL, the impact of SES on CART access and outcomes is poorly described. Using the largest single-center pediatric CART experience, we investigated the hypothesis that poverty-exposed children would have inferior survival outcomes compared to unexposed children. Methods: Retrospective cohort study of US pediatric patients treated on CD19 CART clinical trials or with commercial tisagenlecleucel at Children's Hospital of Philadelphia from 2012-2020. Poverty was the primary exposure, defined at the household-level by insurance status (public vs private). Neighborhood opportunity was defined by census-derived Childhood Opportunity Index (COI) (low [q1-2] vs high [q3-4]). Overall survival (OS) and relapse-free survival (RFS) were evaluated by Kaplan Meier methods, and association with exposures by Cox regression models. Results: Among 206 patients, 36% were household poverty exposed, 24.9% low COI, 21.4% identified as Hispanic, 7.3% non-Hispanic Black, 63.6% non-Hispanic White, and 7.7% non-Hispanic Other. Household-poverty exposure was similar between local and referred patients (32.4% vs 36.7%). Patients unexposed to poverty at the household level or with high COI presented to CART with high disease burden (37.1% vs 26%, p = 0.049, 37.9% vs. 29.7%, p = 0.002). In multivariate analysis adjusting for age, race/ethnicity, disease burden, relapse status, and inotuzumab exposure, there were no significant differences in OS by householdverty (HR 0.86, 95%CI 0.50-1.48, p = 0.575) or low COI (HR 1.03, 95%CI 0.53-1.99, p = 0.932). Low COI was associated with inferior RFS (HR 2.26, 95%CI 1.34-8.80, p = 0.002). There was no significant difference in RFS by household-poverty (HR 0.84, 95%CI 0.48-1.44, p = 0.520). Conclusions: Household poverty was not associated with inferior survival outcomes in pediatric patients who received CART for r/r B-ALL. Patients with low neighborhood opportunity had increased hazard of relapse, a finding that requires investigation of the COI components underlying this association. Patients of higher proxied SES were more likely to have high disease burden, an access inequity potentially reflecting referral pattern bias or greater ability of advantaged families to advocate for CART. Future institutional and multi-center studies should utilize patient-reported social determinants of health to investigate mechanisms driving these disparities and guide care delivery interventions to improve equity in access and outcomes. Clinical trials: NCT01626495, NCT02435849, NCT02374333, NCT02228096, NCT02906371
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Affiliation(s)
- Haley Newman
- Children's Hospital of Philadelphia, Philadelphia, PA
| | - Yimei Li
- Children's Hospital of Philadelphia, Philadelphia, PA
| | - Hongyan Liu
- Children's Hospital of Philadelphia, Philadelphia, PA
| | - Vicky Tam
- University of Pennsylvania, Philadelphia, PA
| | | | | | - Colleen Callahan
- Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Claire M White
- Cancer Immunotherapy Program, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Diane Baniewicz
- Cancer Immunotherapy Program, The Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | | | - Susan R. Rheingold
- Children's Hospital of Philadelphia/Perelman School of Medicine, Philadelphia, PA
| | - Kelly D. Getz
- The Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | - Shannon L. Maude
- Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Stephan A. Grupp
- Pediatric Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Kira Bona
- Dana-Farber Cancer Institute/Children's Hospital Boston, Boston, MA
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14
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Myers RM, Taraseviciute A, Steinberg SM, Lamble AJ, Sheppard J, Yates B, Kovach AE, Wood B, Borowitz MJ, Stetler-Stevenson M, Yuan CM, Pillai V, Foley T, Chung P, Chen L, Lee DW, Annesley C, DiNofia A, Grupp SA, John S, Bhojwani D, Brown PA, Laetsch TW, Gore L, Gardner RA, Rheingold SR, Pulsipher MA, Shah NN. Blinatumomab Nonresponse and High-Disease Burden Are Associated With Inferior Outcomes After CD19-CAR for B-ALL. J Clin Oncol 2022; 40:932-944. [PMID: 34767461 PMCID: PMC8937010 DOI: 10.1200/jco.21.01405] [Citation(s) in RCA: 86] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/16/2021] [Accepted: 10/06/2021] [Indexed: 12/22/2022] Open
Abstract
PURPOSE CD19-targeted chimeric antigen receptor T cells (CD19-CAR) and blinatumomab effectively induce remission in relapsed or refractory B-cell acute lymphoblastic leukemia (ALL) but are also associated with CD19 antigen modulation. There are limited data regarding the impact of prior blinatumomab exposure on subsequent CD19-CAR outcomes. PATIENTS AND METHODS We conducted a multicenter, retrospective review of children and young adults with relapsed or refractory ALL who received CD19-CAR between 2012 and 2019. Primary objectives addressed 6-month relapse-free survival (RFS) and event-free survival (EFS), stratified by blinatumomab use. Secondary objectives included comparison of longer-term survival outcomes, complete remission rates, CD19 modulation, and identification of factors associated with EFS. RESULTS Of 420 patients (median age, 12.7 years; interquartile range, 7.1-17.5) treated with commercial tisagenlecleucel or one of three investigational CD19-CAR constructs, 77 (18.3%) received prior blinatumomab. Blinatumomab-exposed patients more frequently harbored KMT2A rearrangements and underwent a prior stem-cell transplant than blinatumomab-naïve patients. Among patients evaluable for CD19-CAR response (n = 412), blinatumomab nonresponders had lower complete remission rates to CD19-CAR (20 of 31, 64.5%) than blinatumomab responders (39 of 42, 92.9%) or blinatumomab-naive patients (317 of 339, 93.5%), P < .0001. Following CD19-CAR, blinatumomab nonresponders had worse 6-month EFS (27.3%; 95% CI, 13.6 to 43.0) compared with blinatumomab responders (66.9%; 95% CI, 50.6 to 78.9; P < .0001) or blinatumomab-naïve patients (72.6%; 95% CI, 67.5 to 77; P < .0001) and worse RFS. High-disease burden independently associated with inferior EFS. CD19-dim or partial expression (preinfusion) was more frequently seen in blinatumomab-exposed patients (13.3% v 6.5%; P = .06) and associated with lower EFS and RFS. CONCLUSION With the largest series to date in pediatric CD19-CAR, and, to our knowledge, the first to study the impact of sequential CD19 targeting, we demonstrate that blinatumomab nonresponse and high-disease burden were independently associated with worse RFS and EFS, identifying important indicators of long-term outcomes following CD19-CAR.
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Affiliation(s)
- Regina M. Myers
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Agne Taraseviciute
- Section of Transplantation and Cellular Therapy, Children's Hospital Los Angeles Cancer and Blood Disease Institute, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Current affiliation: Janssen Research & Development, LLC, Raritan, NJ
| | - Seth M. Steinberg
- Biostatistics and Data Management Section, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Adam J. Lamble
- Division of Hematology and Oncology University of Washington, Seattle Children's Hospital, Seattle, WA
| | - Jennifer Sheppard
- Division of Pediatric Hematology-Oncology, Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX
| | - Bonnie Yates
- National Cancer Institute/Center for Cancer Research, Pediatric Oncology Branch, National Institutes of Health, Bethesda, MD
| | - Alexandra E. Kovach
- Section of Transplantation and Cellular Therapy, Children's Hospital Los Angeles Cancer and Blood Disease Institute, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Brent Wood
- Section of Transplantation and Cellular Therapy, Children's Hospital Los Angeles Cancer and Blood Disease Institute, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | | | - Constance M. Yuan
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Vinodh Pillai
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Toni Foley
- National Cancer Institute/Center for Cancer Research, Pediatric Oncology Branch, National Institutes of Health, Bethesda, MD
| | - Perry Chung
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Lee Chen
- Section of Transplantation and Cellular Therapy, Children's Hospital Los Angeles Cancer and Blood Disease Institute, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Daniel W. Lee
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Virginia, Charlottesville, VA
| | - Colleen Annesley
- Division of Hematology and Oncology University of Washington, Seattle Children's Hospital, Seattle, WA
| | - Amanda DiNofia
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Stephan A. Grupp
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Samuel John
- Division of Pediatric Hematology-Oncology, Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX
| | - Deepa Bhojwani
- Division of Hematology/Oncology, Children's Hospital Los Angeles Cancer and Blood Disease Institute, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Patrick A. Brown
- Division of Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD
| | - Theodore W. Laetsch
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
- Division of Pediatric Hematology-Oncology, Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX
| | - Lia Gore
- Pediatric Heme/Onc/BMT-CT, University of Colorado, Children's Hospital Colorado, Aurora, CO
| | - Rebecca A. Gardner
- Division of Hematology and Oncology University of Washington, Seattle Children's Hospital, Seattle, WA
| | - Susan R. Rheingold
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Michael A. Pulsipher
- Section of Transplantation and Cellular Therapy, Children's Hospital Los Angeles Cancer and Blood Disease Institute, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Nirali N. Shah
- National Cancer Institute/Center for Cancer Research, Pediatric Oncology Branch, National Institutes of Health, Bethesda, MD
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15
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Myers RM, Li Y, Barz Leahy A, Barrett DM, Teachey DT, Callahan C, Fasano CC, Rheingold SR, DiNofia A, Wray L, Aplenc R, Baniewicz D, Liu H, Shaw PA, Pequignot E, Getz KD, Brogdon JL, Fesnak AD, Siegel DL, Davis MM, Bartoszek C, Lacey SF, Hexner EO, Chew A, Wertheim GB, Levine BL, June CH, Grupp SA, Maude SL. Humanized CD19-Targeted Chimeric Antigen Receptor (CAR) T Cells in CAR-Naive and CAR-Exposed Children and Young Adults With Relapsed or Refractory Acute Lymphoblastic Leukemia. J Clin Oncol 2021; 39:3044-3055. [PMID: 34156874 PMCID: PMC9851702 DOI: 10.1200/jco.20.03458] [Citation(s) in RCA: 84] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
PURPOSE CD19-targeted chimeric antigen receptor (CAR)-modified T cells demonstrate unprecedented responses in B-cell acute lymphoblastic leukemia (B-ALL); however, relapse remains a substantial challenge. Short CAR T-cell persistence contributes to this risk; therefore, strategies to improve persistence are needed. METHODS We conducted a pilot clinical trial of a humanized CD19 CAR T-cell product (huCART19) in children and young adults with relapsed or refractory B-ALL (n = 72) or B-lymphoblastic lymphoma (n = 2), treated in two cohorts: with (retreatment, n = 33) or without (CAR-naive, n = 41) prior CAR exposure. Patients were monitored for toxicity, response, and persistence of huCART19. RESULTS Seventy-four patients 1-29 years of age received huCART19. Cytokine release syndrome developed in 62 (84%) patients and was grade 4 in five (6.8%). Neurologic toxicities were reported in 29 (39%), three (4%) grade 3 or 4, and fully resolved in all cases. The overall response rate at 1 month after infusion was 98% (100% in B-ALL) in the CAR-naive cohort and 64% in the retreatment cohort. At 6 months, the probability of losing huCART19 persistence was 27% (95% CI, 14 to 41) for CAR-naive and 48% (95% CI, 30 to 64) for retreatment patients, whereas the incidence of B-cell recovery was 15% (95% CI, 6 to 28) and 58% (95% CI, 33 to 77), respectively. Relapse-free survival at 12 and 24 months, respectively, was 84% (95% CI, 72 to 97) and 74% (95% CI, 60 to 90) in CAR-naive and 74% (95% CI, 56 to 97) and 58% (95% CI, 37 to 90) in retreatment cohorts. CONCLUSION HuCART19 achieved durable remissions with long-term persistence in children and young adults with relapsed or refractory B-ALL, including after failure of prior CAR T-cell therapy.
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Affiliation(s)
- Regina M. Myers
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Yimei Li
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Biostatistics, Epidemiology, and Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Allison Barz Leahy
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - David M. Barrett
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - David T. Teachey
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Colleen Callahan
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Susan R. Rheingold
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Amanda DiNofia
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Lisa Wray
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Richard Aplenc
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Diane Baniewicz
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Hongyan Liu
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Pamela A. Shaw
- Department of Biostatistics, Epidemiology, and Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Edward Pequignot
- Center for Cellular Immunotherapies, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Kelly D. Getz
- Department of Biostatistics, Epidemiology, and Informatics, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA,Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Andrew D. Fesnak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Donald L. Siegel
- Center for Cellular Immunotherapies, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Megan M. Davis
- Center for Cellular Immunotherapies, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Chelsie Bartoszek
- Center for Cellular Immunotherapies, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Simon F. Lacey
- Center for Cellular Immunotherapies, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Elizabeth O. Hexner
- Center for Cellular Immunotherapies, Children's Hospital of Philadelphia, Philadelphia, PA,Division of Hematology-Oncology and Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Anne Chew
- Center for Cellular Immunotherapies, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Gerald B. Wertheim
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Bruce L. Levine
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Carl H. June
- Center for Cellular Immunotherapies, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,Parker Institute for Cancer Immunotherapy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Stephan A. Grupp
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Shannon L. Maude
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA,Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA,Center for Cellular Immunotherapies, Children's Hospital of Philadelphia, Philadelphia, PA,Shannon L. Maude, MD, PhD, Children's Hospital of Philadelphia, 3012 Colket Translational Research Bldg, 3501 Civic Center Blvd, Philadelphia, PA 19104; e-mail:
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16
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Ibrahimova A, Winestone LE, Miller TP, Kettler K, Seif AE, Huang YS, Elgarten CW, Myers RM, Fisher BT, Aplenc R, Getz KD. Presentation acuity, induction mortality, and resource utilization in infants with acute leukemia. Pediatr Blood Cancer 2021; 68:e28940. [PMID: 33704911 PMCID: PMC8283996 DOI: 10.1002/pbc.28940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 12/28/2020] [Accepted: 01/11/2021] [Indexed: 11/11/2022]
Abstract
BACKGROUND Treatment of infants with acute leukemia remains challenging, especially for acute lymphocytic leukemia (ALL). Infants have shown markedly higher rates of induction mortality compared with noninfants. There are limited data on presentation acuity and supportive care utilization in this age group. METHODS In retrospective analyses of patients treated for new onset ALL or acute myeloid leukemia (AML) at pediatric hospitals contributing to the Pediatric Health Information System, we compared presentation acuity, induction mortality, and resource utilization in infants relative to noninfants less than 10 years at diagnosis. RESULTS Analyses included 10 359 children with ALL (405 infants, 9954 noninfants) and 871 AML (189 infants, 682 noninfants). Infants were more likely to present with multisystem organ failure compared to noninfants for both ALL (12% and 1%, PR = 10.8, 95% CI: 7.4, 15.7) and AML (6% vs. 3%; PR = 2.0, 95% CI: 1.0, 3.7). Infants with ALL had higher induction mortality compared to noninfants, even after accounting for differences in anthracycline exposure and presentation acuity (2.7% vs. 0.5%, HR = 2.1, 95% CI: 1.0, 4.8). Conversely, infants and noninfants with AML had similar rates of induction mortality (3.2% vs. 2.1%, HR = 1.2, 95% CI: 0.3, 3.9), which were comparable to rates among infants with ALL. Infants with ALL and AML had greater requirements for blood products, diuretics, supplemental oxygen, and ventilation during induction relative to noninfants. CONCLUSIONS Infants with leukemia present with higher acuity compared with noninfants. Induction mortality and supportive care requirements for infants with ALL were similar to all children with AML, and significantly higher than those for noninfants with ALL.
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Affiliation(s)
- Azada Ibrahimova
- Department of Pediatrics and Adolescent Medicine, Einstein Healthcare Network Philadelphia, Philadelphia, Pennsylvania, USA
| | - Lena E. Winestone
- Division of AIBMT, Department of Pediatrics, UCSF Benioff Children’s Hospital, San Francisco, California, USA
| | - Tamara P. Miller
- Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Atlanta, Georgia, USA,Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Kyle Kettler
- Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Alix E. Seif
- Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Yuan-Shung Huang
- Center for Pediatric Clinical Effectiveness, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Caitlin W. Elgarten
- Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA,Center for Pediatric Clinical Effectiveness, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Regina M. Myers
- Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Brian T. Fisher
- Center for Pediatric Clinical Effectiveness, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA,Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA,Division of Infectious Diseases, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Richard Aplenc
- Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA,Center for Pediatric Clinical Effectiveness, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA,Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Kelly D. Getz
- Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA,Center for Pediatric Clinical Effectiveness, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA,Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
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17
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Bai Z, Lundh S, Kim D, Woodhouse S, Barrett DM, Myers RM, Grupp SA, Maus MV, June CH, Camara PG, Melenhorst JJ, Fan R. Single-cell multiomics dissection of basal and antigen-specific activation states of CD19-targeted CAR T cells. J Immunother Cancer 2021; 9:jitc-2020-002328. [PMID: 34006631 PMCID: PMC8137188 DOI: 10.1136/jitc-2020-002328] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/20/2021] [Indexed: 12/15/2022] Open
Abstract
Background Autologous T cells engineered to express a chimeric antigen receptor (CAR) specific for CD19 molecule have transformed the therapeutic landscape in patients with highly refractory leukemia and lymphoma, and the use of donor-generated allogeneic CAR T is paving the way for further breakthroughs in the treatment of cancer. However, it remains unknown how the intrinsic heterogeneities of these engineered cells mediate therapeutic efficacy and whether allogeneic products match the effectiveness of autologous therapies. Methods Using single-cell mRNA sequencing in conjunction with CITE-seq, we performed multiomics characterization of CAR T cells generated from healthy donor and patients with acute lymphoblastic leukemia. CAR T cells used in this study were manufactured at the University of Pennsylvania through lentiviral transduction with a CD19-4-1BB-CD3ζ construct. Besides the baseline condition, we engineered NIH-3T3 cells with human CD19 or mesothelin expression to conduct ex vivo antigen-specific or non-antigen stimulation of CAR T cells through 6-hour coculture at a 1:1 ratio. Results We delineated the global cellular and molecular CAR T landscape and identified that transcriptional CAR tonic signaling was regulated by a mixture of early activation, exhaustion signatures, and cytotoxic activities. On CD19 stimulation, we illuminated the disparities of CAR T cells derived from different origins and found that donor CAR T had more pronounced activation level in correlation with the upregulation of major histocompatibility complex class II genes compared with patient CAR T cells. This finding was independently validated in additional datasets from literature. Furthermore, GM-CSF(CSF2) expression was found to be associated with functional gene productions, but it induced little impact on the CAR T activation. Conclusions Through integrated multiomics profiling and unbiased canonical pathway analyses, our results unveil heterogeneities in the transcriptional, phenotypic, functional, and metabolic profiles of donor and patient CAR T cells, providing mechanistic basis for ameliorating clinical outcomes and developing next-generation ‘off- the-shelf’ allogeneic products.
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Affiliation(s)
- Zhiliang Bai
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.,State Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin, China
| | - Stefan Lundh
- Center for Cellular Immunotherapies, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Dongjoo Kim
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA
| | - Steven Woodhouse
- Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David M Barrett
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.,Departments of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Regina M Myers
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Stephan A Grupp
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.,Departments of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Marcela V Maus
- Cellular Immunotherapy Program and Cancer Center, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Carl H June
- Center for Cellular Immunotherapies, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Pablo G Camara
- Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - J Joseph Melenhorst
- Center for Cellular Immunotherapies, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA .,Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA
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18
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Chen GM, Chen C, Das RK, Gao P, Chen CH, Bandyopadhyay S, Ding YY, Uzun Y, Yu W, Zhu Q, Myers RM, Grupp SA, Barrett DM, Tan K. Integrative Bulk and Single-Cell Profiling of Premanufacture T-cell Populations Reveals Factors Mediating Long-Term Persistence of CAR T-cell Therapy. Cancer Discov 2021; 11:2186-2199. [PMID: 33820778 DOI: 10.1158/2159-8290.cd-20-1677] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/03/2021] [Accepted: 04/01/2021] [Indexed: 12/11/2022]
Abstract
The adoptive transfer of chimeric antigen receptor (CAR) T cells represents a breakthrough in clinical oncology, yet both between- and within-patient differences in autologously derived T cells are a major contributor to therapy failure. To interrogate the molecular determinants of clinical CAR T-cell persistence, we extensively characterized the premanufacture T cells of 71 patients with B-cell malignancies on trial to receive anti-CD19 CAR T-cell therapy. We performed RNA-sequencing analysis on sorted T-cell subsets from all 71 patients, followed by paired Cellular Indexing of Transcriptomes and Epitopes (CITE) sequencing and single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq) on T cells from six of these patients. We found that chronic IFN signaling regulated by IRF7 was associated with poor CAR T-cell persistence across T-cell subsets, and that the TCF7 regulon not only associates with the favorable naïve T-cell state, but is maintained in effector T cells among patients with long-term CAR T-cell persistence. These findings provide key insights into the underlying molecular determinants of clinical CAR T-cell function. SIGNIFICANCE: To improve clinical outcomes for CAR T-cell therapy, there is a need to understand the molecular determinants of CAR T-cell persistence. These data represent the largest clinically annotated molecular atlas in CAR T-cell therapy to date, and significantly advance our understanding of the mechanisms underlying therapeutic efficacy.This article is highlighted in the In This Issue feature, p. 2113.
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Affiliation(s)
- Gregory M Chen
- Graduate Group in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Changya Chen
- Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.,Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Rajat K Das
- Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Peng Gao
- Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Chia-Hui Chen
- Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Shovik Bandyopadhyay
- Graduate Group in Cellular and Molecular Biology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Yang-Yang Ding
- Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.,Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Yasin Uzun
- Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.,Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Wenbao Yu
- Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Qin Zhu
- Graduate Group in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Regina M Myers
- Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Stephan A Grupp
- Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.,Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David M Barrett
- Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. .,Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kai Tan
- Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. .,Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.,Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania
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19
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Kadauke S, Myers RM, Li Y, Aplenc R, Baniewicz D, Barrett DM, Barz Leahy A, Callahan C, Dolan JG, Fitzgerald JC, Gladney W, Lacey SF, Liu H, Maude SL, McGuire R, Motley LS, Teachey DT, Wertheim GB, Wray L, DiNofia AM, Grupp SA. Risk-Adapted Preemptive Tocilizumab to Prevent Severe Cytokine Release Syndrome After CTL019 for Pediatric B-Cell Acute Lymphoblastic Leukemia: A Prospective Clinical Trial. J Clin Oncol 2021; 39:920-930. [PMID: 33417474 DOI: 10.1200/jco.20.02477] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
PURPOSE To prospectively evaluate the effectiveness of risk-adapted preemptive tocilizumab (PT) administration in preventing severe cytokine release syndrome (CRS) after CTL019, a CD19 chimeric antigen receptor T-cell therapy. METHODS Children and young adults with CD19-positive relapsed or refractory B-cell acute lymphoblastic leukemia were assigned to high- (≥ 40%) or low- (< 40%) tumor burden cohorts (HTBC or LTBC) based on a bone marrow aspirate or biopsy before infusion. HTBC patients received a single dose of tocilizumab (8-12 mg/kg) after development of high, persistent fevers. LTBC patients received standard CRS management. The primary end point was the frequency of grade 4 CRS (Penn scale), with an observed rate of ≤ 5 of 15 patients in the HTBC pre-defined as clinically meaningful. In post hoc analyses, the HTBC was compared with a historical cohort of high-tumor burden patients from the initial phase I CTL019 trial. RESULTS The primary end point was met. Seventy patients were infused with CTL019, 15 in the HTBC and 55 in the LTBC. All HTBC patients received the PT intervention. The incidence of grade 4 CRS was 27% (95% CI, 8 to 55) in the HTBC and 3.6% (95% CI, 0.4 to 13) in the LTBC. The best overall response rate was 87% in the HTBC and 100% in the LTBC. Initial CTL019 expansion was greater in the HTBC than the LTBC (P < .001), but persistence was not different (P = .73). Event-free and overall survival were worse in the HTBC (P = .004, P < .001, respectively). In the post hoc analysis, grade 4 CRS was observed in 27% versus 50% of patients in the PT and prior phase I cohorts, respectively (P = .18). CONCLUSION Risk-adapted PT administration resulted in a decrease in the expected incidence of grade 4 CRS, meeting the study end point, without adversely impacting the antitumor efficacy or safety of CTL019.
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Affiliation(s)
- Stephan Kadauke
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Regina M Myers
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA.,Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Yimei Li
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Richard Aplenc
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA.,Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Diane Baniewicz
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA
| | - David M Barrett
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA.,Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Allison Barz Leahy
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA.,Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Colleen Callahan
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Joseph G Dolan
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA.,Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Julie C Fitzgerald
- Department of Anesthesiology and Critical Care, Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA
| | - Whitney Gladney
- Center for Cellular Immunotherapies, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Simon F Lacey
- Abramson Cancer Center and Center for Cellular Immunotherapies, University of Pennsylvania, Philadelphia, PA
| | - Hongyan Liu
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Shannon L Maude
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA.,Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Regina McGuire
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Laura S Motley
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA
| | - David T Teachey
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA.,Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Gerald B Wertheim
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Lisa Wray
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA.,Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Amanda M DiNofia
- Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA.,Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Stephan A Grupp
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Cellular Therapy and Transplant Section and Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA.,Division of Oncology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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20
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Myers RM, Dolan JG, Teachey DT. Chimeric antigen receptor T cell therapy for pediatric and young adult B cell acute lymphoblastic leukemia. Expert Rev Clin Immunol 2020; 16:1029-1042. [PMID: 32975147 PMCID: PMC7905709 DOI: 10.1080/1744666x.2021.1828067] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 09/21/2020] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Though 85% of children and young adults with acute lymphoblastic leukemia (ALL) are cured, until recently, the prognosis of relapsed or refractory disease has been dismal. The advent of chimeric antigen receptor (CAR) T-cell therapy has transformed the treatment of relapsed/refractory ALL. The most well-studied, successful CARs are autologous, murine-based anti-CD19 CARs, but new constructs are currently under clinical investigation. AREAS COVERED This review describes the history and design of CAR T cells, clinical trial outcomes of anti-CD19 and newer CARs, treatment-related toxicities including cytokine release syndrome and neurotoxicity, and issues with resistance and relapse. A search of PubMed and clinicaltrials.gov spanning from 2012-present was used to select original reports investigating the use of CAR T in pediatric patients. EXPERT OPINION CD19-targeted CARs have demonstrated remarkable response rates and produced durable remissions in very high-risk pediatric patient populations. The therapies, however, are limited by unique treatment-related toxicities and considerable rates of antigen-positive and antigen-negative relapses. Current research efforts focused on elucidating mechanisms of resistance/relapse and on developing strategies to prevent and treat relapse are critical to optimizing the use of CAR-T. In addition, ongoing trials testing CARs earlier in therapy and for new indications are key to informing their widespread usage.
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Affiliation(s)
- Regina M. Myers
- Division of Oncology, Children’s Hospital of Philadelphia, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - Joseph G. Dolan
- Division of Oncology, Children’s Hospital of Philadelphia, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - David T. Teachey
- Division of Oncology, Children’s Hospital of Philadelphia, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
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Newman H, Barz Leahy AE, Li Y, Liu H, Myers RM, DiNofia AM, Dolan JG, Callahan C, Devine KJ, Wray L, June CH, Grupp SA, Rheingold SR, Maude SL. CD19-targeted chimeric antigen receptor (CAR) T cells in CNS relapsed acute lymphoblastic leukemia (ALL). J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.10511] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
10511 Background: CNS relapse of B-ALL is difficult to treat after cranial radiation or multiple relapses. Durable remissions of relapsed/refractory (r/r) B-ALL have been seen with CD19 CAR T cells; however, most trials excluded patients with active CNS disease. As we observed CAR trafficking into the CSF, we hypothesized that CD19 CAR T cells could control CNS B-ALL. Methods: We identified children and young adults with r/r CNS B-ALL treated on 4 clinical trials of CD19 CAR T cells, CTL019 or CTL119. NCT01626495 and NCT02435849 excluded active CNS disease, while the former in an amendment as well as NCT02374333 and NCT02906371 permitted active CNS disease controlled on therapy. All trials permitted CNS disease that cleared and excluded bulky intracranial disease that did not improve. We analyzed outcomes (CR, RFS) and safety. Results: We identified 65 patients 1-29y (median 10y) with r/r CNS B-ALL (CNS+) of 182 treated with CTL019/CTL119. There were no differences in age, sex, history of SCT or neurologic comorbidities in the CNS+ and CNS- cohorts. CNS+ patients were more likely to be in ≥2nd relapse (74% vs 46%, p < 0.01), to have received cranial radiation (58% vs 11%, p < 0.01), to have detectable CNS disease (p = 0.02) and less bone marrow disease pre-infusion (p < 0.01). At 1 mo post infusion, 62 (95%) CNS+ and 110 (94%) CNS- patients were in CR; 1 in each cohort died of sequelae of CRS and was inevaluable for response. All patients with CNS disease detected pre-infusion cleared by mo 3, including 9 in the CNS+ cohort [5 CNS2 ( < 5 CSF WBC with blasts), 4 CNS3 ( > 5 CSF WBC with blasts or exam/imaging evidence)] and 8 in the CNS- cohort (isolated CNS2 status pre-infusion). There was no difference in RFS (p = 0.28) in the CNS+ and CNS- cohorts [24-mo RFS: 61% (95% CI 46-73%) and 60% (95% CI 48-70%)]. There were 4 CNS relapses in the CNS+ cohort, and 1 in the CNS- cohort. Encephalopathy rate and grade was similar in the CNS+ and CNS- cohorts (52% vs 40% any grade; 12% vs 11% grade 3/4; p = 0.41). There were no deaths due to neurotoxicity (NT) and no statistically significant differences in incidence or severity of any NT or CRS in the CNS+ and CNS- cohorts. Conclusions: The CD19 CAR T cell therapies CTL019/CTL119 are effective at clearing CNS disease and inducing durable remissions in children and young adults with r/r CNS B-ALL. CNS relapse rates are low ( < 3%). Most CD19 CAR T cell trials excluded patients with active CNS disease, primarily due to the risk of NT. We show that patients with r/r CNS B-ALL that is adequately controlled prior to infusion can be safely treated with CD19 CAR T cells, with no increased risk of NT. Clinical trial information: NCT01626495, NCT02435849, NCT02374333, NCT02906371.
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Affiliation(s)
- Haley Newman
- Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Yimei Li
- Children's Hospital of Philadelphia, Philadelphia, PA
| | - Hongyan Liu
- Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | | | - Colleen Callahan
- Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Lisa Wray
- Children's Hospital of Philadelphia, Philadelphia, PA
| | - Carl H. June
- Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Stephan A. Grupp
- Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Susan R. Rheingold
- Children's Hospital of Philadelphia/Perelman School of Medicine, Philadelphia, PA
| | - Shannon L. Maude
- Cancer Immunotherapy Program, Children's Hospital of Philadelphia, Philadelphia, PA
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Myers RM, Kadauke S, Li Y, Callahan CA, Gladney W, Fitzgerald JC, Wray L, Leahy AB, Baniewicz D, Motley LS, McGuire R, Shenoy V, Barrett DM, Teachey DT, Maude SL, DiNofia A, Grupp SA. Risk-Adapted Preemptive Tocilizumab Decreases Severe Cytokine Release Syndrome (CRS) after CTL019 CD19-Targeted Chimeric Antigen Receptor (CAR) T-Cell Therapy for Pediatric B-Cell Acute Lymphoblastic Leukemia (B-ALL). Biol Blood Marrow Transplant 2020. [DOI: 10.1016/j.bbmt.2019.12.105] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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23
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Myers RM, Fitzgerald JC, DiNofia A, Wray L, Leahy AB, Li Y, Smith LT, Burrows EK, Ramos M, Motley LS, Khan R, Aplenc R, Grupp SA, Maude SL. Inpatient and Intensive Care Unit Resource Utilization after CD19-Targeted Chimeric Antigen Receptor T-Cell Therapy (CART19) for Pediatric Acute Lymphoblastic Leukemia (ALL). Biol Blood Marrow Transplant 2020. [DOI: 10.1016/j.bbmt.2019.12.695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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24
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Myers RM, Fitzgerald J, Elgarten CW, Getz KD, Li Y, Hogan J, Dinofia A, Burrows EK, Aplenc R, Grupp SA, Laskin B, Maude SL. Acute Kidney Injury after Chimeric Antigen Receptor T-Cell Therapy for Pediatric Acute Lymphoblastic Leukemia. Biol Blood Marrow Transplant 2019. [DOI: 10.1016/j.bbmt.2018.12.307] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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25
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Elgarten CW, Myers RM, Levy E, Freedman JL, Bunin NJ, Fisher BT, Olson TS. Cytomegalovirus Reactivation in Children with Hemoglobinopathies Who Undergo Hematopoietic Cell Transplantation with Distal Alemtuzumab. Biol Blood Marrow Transplant 2019. [DOI: 10.1016/j.bbmt.2018.12.650] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Hiatt SM, Amaral MD, Bowling KM, Finnila CR, Thompson ML, Gray DE, Lawlor JMJ, Cochran JN, Bebin EM, Brothers KB, East KM, Kelley WV, Lamb NE, Levy SE, Lose EJ, Neu MB, Rich CA, Simmons S, Myers RM, Barsh GS, Cooper GM. Systematic reanalysis of genomic data improves quality of variant interpretation. Clin Genet 2018; 94:174-178. [PMID: 29652076 DOI: 10.1111/cge.13259] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 03/22/2018] [Accepted: 03/28/2018] [Indexed: 12/30/2022]
Abstract
As genomic sequencing expands, so does our knowledge of the link between genetic variation and disease. Deeper catalogs of variant frequencies improve identification of benign variants, while sequencing affected individuals reveals disease-associated variation. Accumulation of human genetic data thus makes reanalysis a means to maximize the benefits of clinical sequencing. We implemented pipelines to systematically reassess sequencing data from 494 individuals with developmental disability. Reanalysis yielded pathogenic or likely pathogenic (P/LP) variants that were not initially reported in 23 individuals, 6 described here, comprising a 16% increase in P/LP yield. We also downgraded 3 LP and 6 variants of uncertain significance (VUS) due to updated population frequency data. The likelihood of identifying a new P/LP variant increased over time, as ~22% of individuals who did not receive a P/LP variant at their original analysis subsequently did after 3 years. We show here that reanalysis and data sharing increase the diagnostic yield and accuracy of clinical sequencing.
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Affiliation(s)
- S M Hiatt
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - M D Amaral
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - K M Bowling
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - C R Finnila
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - M L Thompson
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - D E Gray
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - J M J Lawlor
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - J N Cochran
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - E M Bebin
- University of Alabama at Birmingham, Birmingham, Alabama
| | | | - K M East
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - W V Kelley
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - N E Lamb
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - S E Levy
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - E J Lose
- University of Alabama at Birmingham, Birmingham, Alabama
| | - M B Neu
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - C A Rich
- University of Louisville, Louisville, Kentucky
| | - S Simmons
- University of Alabama at Birmingham, Birmingham, Alabama
| | - R M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - G S Barsh
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - G M Cooper
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
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Krolewski DM, Kumar V, Martin B, Tomer R, Deisseroth K, Myers RM, Schatzberg AF, Lee FS, Barchas JD, Bunney WE, Akil H, Watson SJ. Quantitative validation of immunofluorescence and lectin staining using reduced CLARITY acrylamide formulations. Brain Struct Funct 2017; 223:987-999. [PMID: 29243106 DOI: 10.1007/s00429-017-1583-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 11/25/2017] [Indexed: 12/12/2022]
Abstract
The CLARITY technique enables three-dimensional visualization of fluorescent-labeled biomolecules in clarified intact brain samples, affording a unique view of molecular neuroanatomy and neurocircuitry. It is therefore, essential to find the ideal combination for clearing tissue and detecting the fluorescent-labeled signal. This method requires the formation of a formaldehyde-acrylamide fixative-generated hydrogel mesh through which cellular lipid is removed with sodium dodecyl sulfate. Several laboratories have used differential acrylamide and detergent concentrations to achieve better tissue clearing and antibody penetration, but the potential effects upon fluorescent signal retention is largely unknown. In an effort to optimize CLARITY processing procedures we performed quantitative parvalbumin immunofluorescence and lectin-based vasculature staining using either 4 or 8% sodium dodecyl sulfate detergent in combination with different acrylamide formulas in mouse brain slices. Using both confocal and CLARITY-optimized lightsheet microscope-acquired images, we demonstrate that 2% acrylamide monomer combined with 0.0125% bis-acrylamide and cleared with 4% sodium dodecyl sulfate generally provides the most optimal signal visualization amongst various hydrogel monomer concentrations, lipid removal times, and detergent concentrations.
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Affiliation(s)
- D M Krolewski
- Molecular and Behavioral Neuroscience Institute, University of Michigan, 205 Zina Pitcher Place, Ann Arbor, MI, 48109, USA.
| | - V Kumar
- Molecular and Behavioral Neuroscience Institute, University of Michigan, 205 Zina Pitcher Place, Ann Arbor, MI, 48109, USA
| | - B Martin
- Molecular and Behavioral Neuroscience Institute, University of Michigan, 205 Zina Pitcher Place, Ann Arbor, MI, 48109, USA
| | - R Tomer
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | - K Deisseroth
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - R M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - A F Schatzberg
- Psychiatry and Behavioral Science, Stanford University, Stanford, CA, USA
| | - F S Lee
- Psychiatry, Weill Cornell Medical College, Cornell University, New York, NY, USA
| | - J D Barchas
- Psychiatry, Weill Cornell Medical College, Cornell University, New York, NY, USA
| | - W E Bunney
- Department of Psychiatry, University of California, Irvine, CA, USA
| | - H Akil
- Molecular and Behavioral Neuroscience Institute, University of Michigan, 205 Zina Pitcher Place, Ann Arbor, MI, 48109, USA
| | - S J Watson
- Molecular and Behavioral Neuroscience Institute, University of Michigan, 205 Zina Pitcher Place, Ann Arbor, MI, 48109, USA
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28
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Myers RM, Hill BT, Shaw BE, Kim S, Millard HR, Battiwalla M, Majhail NS, Buchbinder D, Lazarus HM, Savani BN, Flowers MED, D'Souza A, Ehrhardt MJ, Langston A, Yared JA, Hayashi RJ, Daly A, Olsson RF, Inamoto Y, Malone AK, DeFilipp Z, Margossian SP, Warwick AB, Jaglowski S, Beitinjaneh A, Fung H, Kasow KA, Marks DI, Reynolds J, Stockerl-Goldstein K, Wirk B, Wood WA, Hamadani M, Satwani P. Long-term outcomes among 2-year survivors of autologous hematopoietic cell transplantation for Hodgkin and diffuse large b-cell lymphoma. Cancer 2017; 124:816-825. [PMID: 29125192 DOI: 10.1002/cncr.31114] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 10/10/2017] [Accepted: 10/12/2017] [Indexed: 11/05/2022]
Abstract
BACKGROUND Autologous hematopoietic cell transplantation (auto-HCT) is a standard therapy for relapsed classic Hodgkin lymphoma (cHL) and diffuse large B-cell lymphoma (DLBCL); however, long-term outcomes are not well described. METHODS This study analyzed survival, nonrelapse mortality, late effects, and subsequent malignant neoplasms (SMNs) in 1617 patients who survived progression-free for ≥2 years after auto-HCT for cHL or DLBCL between 1990 and 2008. The median age at auto-HCT was 40 years; the median follow-up was 10.6 years. RESULTS The 5-year overall survival rate was 90% (95% confidence interval [CI], 87%-92%) for patients with cHL and 89% (95% CI, 87%-91%) for patients with DLBCL. The risk of late mortality in comparison with the general population was 9.6-fold higher for patients with cHL (standardized mortality ratio [SMR], 9.6) and 3.4-fold higher for patients with DLBCL (SMR, 3.4). Relapse accounted for 44% of late deaths. At least 1 late effect was reported for 9% of the patients. A total of 105 SMNs were confirmed: 44 in the cHL group and 61 in the DLBCL group. According to a multivariate analysis, older age, male sex, a Karnofsky score < 90, total body irradiation (TBI) exposure, and a higher number of lines of chemotherapy before auto-HCT were risk factors for overall mortality in cHL. Risk factors in DLBCL were older age and TBI exposure. A subanalysis of 798 adolescent and young adult patients mirrored the outcomes of the overall study population. CONCLUSIONS Despite generally favorable outcomes, 2-year survivors of auto-HCT for cHL or DLBCL have an excess late-mortality risk in comparison with the general population and experience an assortment of late complications. Cancer 2018;124:816-25. © 2017 American Cancer Society.
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Affiliation(s)
- Regina M Myers
- Divisions of Hematology and Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, Pennsylvania
| | - Brian T Hill
- Department of Hematology and Medical Oncology, Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio
| | - Bronwen E Shaw
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Soyoung Kim
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.,Division of Biostatistics, Institute for Health and Society, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Heather R Millard
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Minoo Battiwalla
- Hematology Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - Navneet S Majhail
- Blood and Marrow Transplant Program, Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio
| | - David Buchbinder
- Division of Pediatric Hematology, Children's Hospital of Orange County, Orange, California
| | - Hillard M Lazarus
- Seidman Cancer Center, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio
| | - Bipin N Savani
- Division of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Mary E D Flowers
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Anita D'Souza
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | | | - Amelia Langston
- Department of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia
| | - Jean A Yared
- Blood and Marrow Transplantation Program, Division of Hematology/Oncology, Department of Medicine, Greenebaum Comprehensive Cancer Center, University of Maryland, Baltimore, Maryland
| | - Robert J Hayashi
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Andrew Daly
- Tom Baker Cancer Center, Calgary, Alberta, Canada
| | - Richard F Olsson
- Division of Therapeutic Immunology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Clinical Research Sormland, Uppsala University, Uppsala, Sweden
| | - Yoshihiro Inamoto
- Division of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Tokyo, Japan
| | - Adriana K Malone
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Zachariah DeFilipp
- Blood and Marrow Transplant Program, Massachusetts General Hospital, Boston, Massachusetts
| | - Steven P Margossian
- Department of Pediatric Oncology, Boston Children's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Anne B Warwick
- Department of Pediatrics, Uniformed Services Industry of the Health Sciences, Bethesda, Maryland
| | - Samantha Jaglowski
- Division of Hematology, Ohio State University Medical Center, Columbus, Ohio
| | | | - Henry Fung
- Department of Medical Oncology, Fox Chase Cancer Center, Temple Health, Philadelphia, Pennsylvania
| | - Kimberly A Kasow
- Division of Hematology-Oncology, Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - David I Marks
- Adult Bone Marrow Transplant, University Hospitals Bristol NHS Trust, Bristol, United Kingdom
| | | | | | - Baldeep Wirk
- Division of Bone Marrow Transplant, Seattle Cancer Care Alliance, Seattle, Washington
| | - William A Wood
- Division of Hematology/Oncology, Department of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Mehdi Hamadani
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Prakash Satwani
- Division of Pediatric Hematology, Oncology, and Stem Cell Transplantation, Department of Pediatrics, Columbia University Medical Center, New York, New York
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Witt SH, Streit F, Jungkunz M, Frank J, Awasthi S, Reinbold CS, Treutlein J, Degenhardt F, Forstner AJ, Heilmann-Heimbach S, Dietl L, Schwarze CE, Schendel D, Strohmaier J, Abdellaoui A, Adolfsson R, Air TM, Akil H, Alda M, Alliey-Rodriguez N, Andreassen OA, Babadjanova G, Bass NJ, Bauer M, Baune BT, Bellivier F, Bergen S, Bethell A, Biernacka JM, Blackwood DHR, Boks MP, Boomsma DI, Børglum AD, Borrmann-Hassenbach M, Brennan P, Budde M, Buttenschøn HN, Byrne EM, Cervantes P, Clarke TK, Craddock N, Cruceanu C, Curtis D, Czerski PM, Dannlowski U, Davis T, de Geus EJC, Di Florio A, Djurovic S, Domenici E, Edenberg HJ, Etain B, Fischer SB, Forty L, Fraser C, Frye MA, Fullerton JM, Gade K, Gershon ES, Giegling I, Gordon SD, Gordon-Smith K, Grabe HJ, Green EK, Greenwood TA, Grigoroiu-Serbanescu M, Guzman-Parra J, Hall LS, Hamshere M, Hauser J, Hautzinger M, Heilbronner U, Herms S, Hitturlingappa S, Hoffmann P, Holmans P, Hottenga JJ, Jamain S, Jones I, Jones LA, Juréus A, Kahn RS, Kammerer-Ciernioch J, Kirov G, Kittel-Schneider S, Kloiber S, Knott SV, Kogevinas M, Landén M, Leber M, Leboyer M, Li QS, Lissowska J, Lucae S, Martin NG, Mayoral-Cleries F, McElroy SL, McIntosh AM, McKay JD, McQuillin A, Medland SE, Middeldorp CM, Milaneschi Y, Mitchell PB, Montgomery GW, Morken G, Mors O, Mühleisen TW, Müller-Myhsok B, Myers RM, Nievergelt CM, Nurnberger JI, O'Donovan MC, Loohuis LMO, Ophoff R, Oruc L, Owen MJ, Paciga SA, Penninx BWJH, Perry A, Pfennig A, Potash JB, Preisig M, Reif A, Rivas F, Rouleau GA, Schofield PR, Schulze TG, Schwarz M, Scott L, Sinnamon GCB, Stahl EA, Strauss J, Turecki G, Van der Auwera S, Vedder H, Vincent JB, Willemsen G, Witt CC, Wray NR, Xi HS, Tadic A, Dahmen N, Schott BH, Cichon S, Nöthen MM, Ripke S, Mobascher A, Rujescu D, Lieb K, Roepke S, Schmahl C, Bohus M, Rietschel M. Genome-wide association study of borderline personality disorder reveals genetic overlap with bipolar disorder, major depression and schizophrenia. Transl Psychiatry 2017; 7:e1155. [PMID: 28632202 PMCID: PMC5537640 DOI: 10.1038/tp.2017.115] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Accepted: 04/10/2017] [Indexed: 01/02/2023] Open
Abstract
Borderline personality disorder (BOR) is determined by environmental and genetic factors, and characterized by affective instability and impulsivity, diagnostic symptoms also observed in manic phases of bipolar disorder (BIP). Up to 20% of BIP patients show comorbidity with BOR. This report describes the first case-control genome-wide association study (GWAS) of BOR, performed in one of the largest BOR patient samples worldwide. The focus of our analysis was (i) to detect genes and gene sets involved in BOR and (ii) to investigate the genetic overlap with BIP. As there is considerable genetic overlap between BIP, major depression (MDD) and schizophrenia (SCZ) and a high comorbidity of BOR and MDD, we also analyzed the genetic overlap of BOR with SCZ and MDD. GWAS, gene-based tests and gene-set analyses were performed in 998 BOR patients and 1545 controls. Linkage disequilibrium score regression was used to detect the genetic overlap between BOR and these disorders. Single marker analysis revealed no significant association after correction for multiple testing. Gene-based analysis yielded two significant genes: DPYD (P=4.42 × 10-7) and PKP4 (P=8.67 × 10-7); and gene-set analysis yielded a significant finding for exocytosis (GO:0006887, PFDR=0.019; FDR, false discovery rate). Prior studies have implicated DPYD, PKP4 and exocytosis in BIP and SCZ. The most notable finding of the present study was the genetic overlap of BOR with BIP (rg=0.28 [P=2.99 × 10-3]), SCZ (rg=0.34 [P=4.37 × 10-5]) and MDD (rg=0.57 [P=1.04 × 10-3]). We believe our study is the first to demonstrate that BOR overlaps with BIP, MDD and SCZ on the genetic level. Whether this is confined to transdiagnostic clinical symptoms should be examined in future studies.
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Affiliation(s)
- S H Witt
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - F Streit
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - M Jungkunz
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - J Frank
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - S Awasthi
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - C S Reinbold
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - J Treutlein
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - F Degenhardt
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - A J Forstner
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | | | - L Dietl
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - C E Schwarze
- Department of Clinical Psychology and Psychotherapy, University of Heidelberg, Heidelberg, Germany
| | - D Schendel
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - J Strohmaier
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - A Abdellaoui
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - R Adolfsson
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
| | - T M Air
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - H Akil
- Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - N Alliey-Rodriguez
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - O A Andreassen
- Division Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
| | - G Babadjanova
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
| | - N J Bass
- Division of Psychiatry, University College London, London, UK
| | - M Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
| | - B T Baune
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - F Bellivier
- Inserm, U1144, AP-HP, GH Saint-Louis, Département de Psychiatrie et de Médecine Addictologique, Paris, France
| | - S Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - A Bethell
- National Center for Mental Health, Cardiff University, Cardiff, UK
| | - J M Biernacka
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - D H R Blackwood
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - M P Boks
- Urain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - D I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - A D Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | | | - P Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - M Budde
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
| | - H N Buttenschøn
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - E M Byrne
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - P Cervantes
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - T-K Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - N Craddock
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - C Cruceanu
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - D Curtis
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
| | - P M Czerski
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - U Dannlowski
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry, University of Münste, Münster, Germany
| | - T Davis
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - E J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - A Di Florio
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - S Djurovic
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - E Domenici
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
| | - H J Edenberg
- Indiana University School of Medicine, Department of Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
| | - B Etain
- Faculté de Médecine, Université Paris Est, Créteil, France
| | - S B Fischer
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - L Forty
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - C Fraser
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - M A Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - J M Fullerton
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - K Gade
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
| | - E S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - I Giegling
- Department of Psychiatry, University of Halle, Halle, Germany
| | - S D Gordon
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - K Gordon-Smith
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - H J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - E K Green
- School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
| | - T A Greenwood
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
| | - J Guzman-Parra
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
| | - L S Hall
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
| | - M Hamshere
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - J Hauser
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - M Hautzinger
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
| | - U Heilbronner
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
| | - S Herms
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - S Hitturlingappa
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - P Hoffmann
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - P Holmans
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - J-J Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - S Jamain
- Faculté de Médecine, Université Paris Est, Créteil, France
- Inserm U955, Psychiatrie Translationnelle, Créteil, France
| | - I Jones
- National Center for Mental Health, Cardiff University, Cardiff, UK
| | - L A Jones
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - A Juréus
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - R S Kahn
- University Medical Center Utrecht, Division of Neuroscience, Department of Psychiatry, Utrecht, The Netherlands
| | | | - G Kirov
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - S Kittel-Schneider
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - S Kloiber
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Max Planck Institute of Psychiatry, Munich, Germany
| | - S V Knott
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - M Kogevinas
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - M Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - M Leber
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
| | - M Leboyer
- Inserm U955, Translational Psychiatry Laboratory, AP-HP, DHU PePSY, Department of Psychiatry, Université Paris Est, Créteil, France
| | - Q S Li
- Janssen Research and Development, LLC, Neuroscience Therapeutic Area, Titusville, NJ, USA
| | - J Lissowska
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Cancer Epidemiology and Prevention, Warsaw, Poland
| | - S Lucae
- Max Planck Institute of Psychiatry, Munich, Germany
| | - N G Martin
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
| | - F Mayoral-Cleries
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
| | - S L McElroy
- Lindner Center of HOPE, Research Institute, Mason, OH, USA
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - J D McKay
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - A McQuillin
- Division of Psychiatry, University College London, London, UK
| | - S E Medland
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - C M Middeldorp
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Y Milaneschi
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
| | - P B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Black Dog Institute, Sydney, NSW, Australia
| | - G W Montgomery
- Institute for Molecular Biology, University of Queensland, Brisbane, QLD, Australia
| | - G Morken
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, St Olavs University Hospital, Trondheim, Norway
| | - O Mors
- Risskov, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - T W Mühleisen
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
| | - B Müller-Myhsok
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
| | - R M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - C M Nievergelt
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - J I Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - M C O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - L M O Loohuis
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
| | - R Ophoff
- University Medical Center Utrecht, Division of Brain Research, Utrecht, The Netherlands
| | - L Oruc
- Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia-Herzegovina
| | - M J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - S A Paciga
- Pfizer Global Research and Development, Human Genetics and Computational Biomedicine, Groton, CT, USA
| | - B W J H Penninx
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
| | - A Perry
- Department of Psychological Medicine, University of Worcester, Worcester, UK
| | - A Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
| | - J B Potash
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - M Preisig
- Department of Psychiatry, Psychiatric University Hospital of Lausanne, Lausanne, Switzerland
| | - A Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - F Rivas
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
| | - G A Rouleau
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute and Hospital, Montreal, QC, Canada
| | - P R Schofield
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - T G Schulze
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- NIMH Division of Intramural Research Programs, Human Genetics Branch, Bethesda, MD, USA
| | - M Schwarz
- Psychiatric Center Nordbaden, Wiesloch, Germany
| | - L Scott
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - G C B Sinnamon
- School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
| | - E A Stahl
- Broad Institute of MIT and Harvard, Medical and Population Genetics, Cambridge, MA, USA
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - J Strauss
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - G Turecki
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - S Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - H Vedder
- Psychiatric Center Nordbaden, Wiesloch, Germany
| | - J B Vincent
- Centre for Addiction and Mental Health, Molecular Neuropsychiatry and Development Laboratory, Toronto, ON, Canada
| | - G Willemsen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - C C Witt
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - N R Wray
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - H S Xi
- Pfizer Global Research and Development, Computational Sciences Center of Emphasis, Cambridge, MA, USA
| | - Bipolar Disorders Working Group of the Psychiatric Genomics Consortium
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
- Department of Clinical Psychology and Psychotherapy, University of Heidelberg, Heidelberg, Germany
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Division Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
- Division of Psychiatry, University College London, London, UK
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
- Inserm, U1144, AP-HP, GH Saint-Louis, Département de Psychiatrie et de Médecine Addictologique, Paris, France
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Center for Mental Health, Cardiff University, Cardiff, UK
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Urain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Medical and Quality Assurance, Clinics of Upper Bavaria, Munich, Germany
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry, University of Münste, Münster, Germany
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
- Indiana University School of Medicine, Department of Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
- Faculté de Médecine, Université Paris Est, Créteil, France
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
- Department of Psychiatry, University of Halle, Halle, Germany
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Department of Psychological Medicine, University of Worcester, Worcester, UK
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
- Inserm U955, Psychiatrie Translationnelle, Créteil, France
- University Medical Center Utrecht, Division of Neuroscience, Department of Psychiatry, Utrecht, The Netherlands
- Center of Psychiatry Weinsberg, Weinsberg, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Max Planck Institute of Psychiatry, Munich, Germany
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
- Inserm U955, Translational Psychiatry Laboratory, AP-HP, DHU PePSY, Department of Psychiatry, Université Paris Est, Créteil, France
- Janssen Research and Development, LLC, Neuroscience Therapeutic Area, Titusville, NJ, USA
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Cancer Epidemiology and Prevention, Warsaw, Poland
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
- Lindner Center of HOPE, Research Institute, Mason, OH, USA
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
- Division of Psychiatry, University College London, London, UK
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Black Dog Institute, Sydney, NSW, Australia
- Institute for Molecular Biology, University of Queensland, Brisbane, QLD, Australia
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, St Olavs University Hospital, Trondheim, Norway
- Risskov, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
- University Medical Center Utrecht, Division of Brain Research, Utrecht, The Netherlands
- Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia-Herzegovina
- Pfizer Global Research and Development, Human Genetics and Computational Biomedicine, Groton, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, Psychiatric University Hospital of Lausanne, Lausanne, Switzerland
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute and Hospital, Montreal, QC, Canada
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- NIMH Division of Intramural Research Programs, Human Genetics Branch, Bethesda, MD, USA
- Psychiatric Center Nordbaden, Wiesloch, Germany
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
- Broad Institute of MIT and Harvard, Medical and Population Genetics, Cambridge, MA, USA
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Centre for Addiction and Mental Health, Molecular Neuropsychiatry and Development Laboratory, Toronto, ON, Canada
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Pfizer Global Research and Development, Computational Sciences Center of Emphasis, Cambridge, MA, USA
- AGAPLESION Elisabethenstift gGmbh, Department of Psychiatry, Psychosomatics and Psychotherapy, Darmstadt, Germany
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
- Department of Clinical Psychology and Psychotherapy, University of Heidelberg, Heidelberg, Germany
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Division Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
- Division of Psychiatry, University College London, London, UK
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
- Inserm, U1144, AP-HP, GH Saint-Louis, Département de Psychiatrie et de Médecine Addictologique, Paris, France
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Center for Mental Health, Cardiff University, Cardiff, UK
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Urain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Medical and Quality Assurance, Clinics of Upper Bavaria, Munich, Germany
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry, University of Münste, Münster, Germany
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
- Indiana University School of Medicine, Department of Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
- Faculté de Médecine, Université Paris Est, Créteil, France
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
- Department of Psychiatry, University of Halle, Halle, Germany
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Department of Psychological Medicine, University of Worcester, Worcester, UK
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
- Inserm U955, Psychiatrie Translationnelle, Créteil, France
- University Medical Center Utrecht, Division of Neuroscience, Department of Psychiatry, Utrecht, The Netherlands
- Center of Psychiatry Weinsberg, Weinsberg, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Max Planck Institute of Psychiatry, Munich, Germany
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
- Inserm U955, Translational Psychiatry Laboratory, AP-HP, DHU PePSY, Department of Psychiatry, Université Paris Est, Créteil, France
- Janssen Research and Development, LLC, Neuroscience Therapeutic Area, Titusville, NJ, USA
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Cancer Epidemiology and Prevention, Warsaw, Poland
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
- Lindner Center of HOPE, Research Institute, Mason, OH, USA
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
- Division of Psychiatry, University College London, London, UK
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Black Dog Institute, Sydney, NSW, Australia
- Institute for Molecular Biology, University of Queensland, Brisbane, QLD, Australia
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, St Olavs University Hospital, Trondheim, Norway
- Risskov, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
- University Medical Center Utrecht, Division of Brain Research, Utrecht, The Netherlands
- Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia-Herzegovina
- Pfizer Global Research and Development, Human Genetics and Computational Biomedicine, Groton, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, Psychiatric University Hospital of Lausanne, Lausanne, Switzerland
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute and Hospital, Montreal, QC, Canada
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- NIMH Division of Intramural Research Programs, Human Genetics Branch, Bethesda, MD, USA
- Psychiatric Center Nordbaden, Wiesloch, Germany
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
- Broad Institute of MIT and Harvard, Medical and Population Genetics, Cambridge, MA, USA
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Centre for Addiction and Mental Health, Molecular Neuropsychiatry and Development Laboratory, Toronto, ON, Canada
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Pfizer Global Research and Development, Computational Sciences Center of Emphasis, Cambridge, MA, USA
- AGAPLESION Elisabethenstift gGmbh, Department of Psychiatry, Psychosomatics and Psychotherapy, Darmstadt, Germany
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Schizophrenia Working Group of the Psychiatric Genomics Consortium
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
- Department of Clinical Psychology and Psychotherapy, University of Heidelberg, Heidelberg, Germany
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
- Division Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
- Division of Psychiatry, University College London, London, UK
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Dresden, Germany
- Inserm, U1144, AP-HP, GH Saint-Louis, Département de Psychiatrie et de Médecine Addictologique, Paris, France
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Center for Mental Health, Cardiff University, Cardiff, UK
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Urain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Medical and Quality Assurance, Clinics of Upper Bavaria, Munich, Germany
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Goettingen, Germany
- Medical Center of the University of Munich, Campus Innenstadt, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Centre for Psychiatry, Queen Mary University of London, London, UK
- UCL Genetics Institute, University College London, London, UK
- Laboratory of Psychiatric Genetics, Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
- Department of Psychiatry, University of Marburg, Marburg, Germany
- Department of Psychiatry, University of Münste, Münster, Germany
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Department of Medical Genetics, Oslo University Hospital Ullevål, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
- Indiana University School of Medicine, Department of Biochemistry and Molecular Biology, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
- Faculté de Médecine, Université Paris Est, Créteil, France
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
- Department of Psychiatry, University of Halle, Halle, Germany
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Department of Psychological Medicine, University of Worcester, Worcester, UK
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
- Mental Health Department, Biomedicine Institute, University Regional Hospital, Málaga, Spain
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
- Department of Psychology, Eberhard Karls Universität Tübingen, Tubingen, Germany
- Inserm U955, Psychiatrie Translationnelle, Créteil, France
- University Medical Center Utrecht, Division of Neuroscience, Department of Psychiatry, Utrecht, The Netherlands
- Center of Psychiatry Weinsberg, Weinsberg, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Max Planck Institute of Psychiatry, Munich, Germany
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Clinic for Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
- Inserm U955, Translational Psychiatry Laboratory, AP-HP, DHU PePSY, Department of Psychiatry, Université Paris Est, Créteil, France
- Janssen Research and Development, LLC, Neuroscience Therapeutic Area, Titusville, NJ, USA
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Cancer Epidemiology and Prevention, Warsaw, Poland
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
- Lindner Center of HOPE, Research Institute, Mason, OH, USA
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
- Division of Psychiatry, University College London, London, UK
- VU University Medical Center and GGZ inGeest, Department of Psychiatry, Amsterdam, The Netherlands
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Black Dog Institute, Sydney, NSW, Australia
- Institute for Molecular Biology, University of Queensland, Brisbane, QLD, Australia
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, St Olavs University Hospital, Trondheim, Norway
- Risskov, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Liverpool, UK
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
- University Medical Center Utrecht, Division of Brain Research, Utrecht, The Netherlands
- Psychiatry Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia-Herzegovina
- Pfizer Global Research and Development, Human Genetics and Computational Biomedicine, Groton, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, Psychiatric University Hospital of Lausanne, Lausanne, Switzerland
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute and Hospital, Montreal, QC, Canada
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- NIMH Division of Intramural Research Programs, Human Genetics Branch, Bethesda, MD, USA
- Psychiatric Center Nordbaden, Wiesloch, Germany
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- School of Medicine and Dentistry, James Cook University, Townsville, QLD, Australia
- Broad Institute of MIT and Harvard, Medical and Population Genetics, Cambridge, MA, USA
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Centre for Addiction and Mental Health, Molecular Neuropsychiatry and Development Laboratory, Toronto, ON, Canada
- Department of Anaesthesiology and Operative Intensive Care, University Hospital Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Pfizer Global Research and Development, Computational Sciences Center of Emphasis, Cambridge, MA, USA
- AGAPLESION Elisabethenstift gGmbh, Department of Psychiatry, Psychosomatics and Psychotherapy, Darmstadt, Germany
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - A Tadic
- AGAPLESION Elisabethenstift gGmbh, Department of Psychiatry, Psychosomatics and Psychotherapy, Darmstadt, Germany
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
| | - N Dahmen
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
| | - B H Schott
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - S Cichon
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Research Center Juelich, Institute of Neuroscience and Medicine (INM-1), Juelich, Germany
- Division of Medical Genetics, University of Basel, Basel, Switzerland
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life and Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - S Ripke
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Stanley Center for Psychiatric Research and Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - A Mobascher
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
| | - D Rujescu
- Department of Psychiatry, University of Halle, Halle, Germany
| | - K Lieb
- University Medical Center, Department of Psychiatry and Psychotherapy, Mainz, Germany
| | - S Roepke
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - C Schmahl
- Central Institute of Mental Health, Clinic of Psychosomatic and Psychotherapeutic Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - M Bohus
- Central Institute of Mental Health, Institute for Psychiatric and Psychosomatic Psychotherapy (IPPP)/Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - M Rietschel
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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30
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Mitchell HR, Lu X, Myers RM, Sung L, Balsamo LM, Carroll WL, Raetz E, Loh ML, Mattano LA, Winick NJ, Devidas M, Hunger SP, Maloney K, Kadan-Lottick NS. Prospective, longitudinal assessment of quality of life in children from diagnosis to 3 months off treatment for standard risk acute lymphoblastic leukemia: Results of Children's Oncology Group study AALL0331. Int J Cancer 2015; 138:332-9. [PMID: 26235006 DOI: 10.1002/ijc.29708] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Accepted: 06/24/2015] [Indexed: 11/09/2022]
Abstract
Standard risk acute lymphoblastic leukemia (SR-ALL) has high cure rates, but requires 2-3 years of therapy. We aimed to (i) prospectively evaluate health-related quality of life (HRQOL) during and after SR-ALL therapy, and (ii) identify associated predictors. Parents of 160 SR-ALL patients enrolled on Children's Oncology Group (COG) therapeutic trial AALL0331 at 31 sites completed the Pediatric Quality of Life Inventory (PedsQL) 4.0 Generic Core Scales (physical, emotional and social functioning) and Family Assessment Device-General Functioning (FAD-GF) at 1, 6 and 12 months after diagnosis, and 3 months post-therapy. Mean PedsQL scores in physical, emotional and social functioning were impaired 1 month after diagnosis but steadily improved. Three months post-therapy, impaired physical and social functioning was observed in 27.8 and 25.8% of patients, respectively. In repeated-measures analysis, problematic family functioning predicted emotional (OR = 1.85, 95% CI 1.03-3.34) and social (OR = 1.99, 95% CI 1.21-3.27) impairment. Larger household size was associated with social impairment (OR = 1.21, 95% CI 1.02-1.45). Adverse neurological event(s) during therapy predicted post-therapy physical (OR = 5.17, 95% CI 1.61-16.63) and social (OR = 8.17, 95% CI 1.19-56.16) impairment. HRQOL 1 month after diagnosis was not predictive of HRQOL 3 months after therapy completion. In conclusion, children with SR-ALL experience considerable impairment in HRQOL at the end of induction, but rapidly improve. However, many still experience physical and social impairment 3 months post-therapy, suggesting a role for continued family and physical functioning support. Longer follow-up is needed to determine if post-therapy deficits change over time.
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Affiliation(s)
- Hannah-Rose Mitchell
- Department of Pediatric Hematology & Oncology, Yale University School of Medicine, New Haven, CT
| | - Xiaomin Lu
- Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainsville, FL
| | - Regina M Myers
- Department of Pediatrics, Columbia University, New York, NY
| | - Lillian Sung
- Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Lyn M Balsamo
- Department of Pediatric Hematology & Oncology, Yale University School of Medicine, New Haven, CT
| | - William L Carroll
- Pediatric Oncology, Cancer Institute, New York University Medical Center, New York, NY
| | - Elizabeth Raetz
- Department of Pediatrics, University of Utah, Salt Lake City, NY
| | - Mignon L Loh
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA
| | | | - Naomi J Winick
- Department of Pediatrics, University of Texas, Southwestern Medical Center, Dallas, TX
| | - Meenakshi Devidas
- Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainsville, FL
| | - Stephen P Hunger
- Division of Oncology and Center for Childhood Cancer Research, The Children's Hospital of Philadelphia (CHOP), Philadelphia, PA
| | - Kelly Maloney
- Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO
| | - Nina S Kadan-Lottick
- Department of Pediatric Hematology & Oncology, Yale University School of Medicine, New Haven, CT
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31
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Bunney BG, Li JZ, Walsh DM, Stein R, Vawter MP, Cartagena P, Barchas JD, Schatzberg AF, Myers RM, Watson SJ, Akil H, Bunney WE. Circadian dysregulation of clock genes: clues to rapid treatments in major depressive disorder. Mol Psychiatry 2015; 20:48-55. [PMID: 25349171 PMCID: PMC4765913 DOI: 10.1038/mp.2014.138] [Citation(s) in RCA: 123] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Revised: 09/06/2014] [Accepted: 09/10/2014] [Indexed: 12/19/2022]
Abstract
Conventional antidepressants require 2-8 weeks for a full clinical response. In contrast, two rapidly acting antidepressant interventions, low-dose ketamine and sleep deprivation (SD) therapy, act within hours to robustly decrease depressive symptoms in a subgroup of major depressive disorder (MDD) patients. Evidence that MDD may be a circadian-related illness is based, in part, on a large set of clinical data showing that diurnal rhythmicity (sleep, temperature, mood and hormone secretion) is altered during depressive episodes. In a microarray study, we observed widespread changes in cyclic gene expression in six regions of postmortem brain tissue of depressed patients matched with controls for time-of-death (TOD). We screened 12 000 transcripts and observed that the core clock genes, essential for controlling virtually all rhythms in the body, showed robust 24-h sinusoidal expression patterns in six brain regions in control subjects. In MDD patients matched for TOD with controls, the expression patterns of the clock genes in brain were significantly dysregulated. Some of the most robust changes were seen in anterior cingulate (ACC). These findings suggest that in addition to structural abnormalities, lesion studies, and the large body of functional brain imaging studies reporting increased activation in the ACC of depressed patients who respond to a wide range of therapies, there may be a circadian dysregulation in clock gene expression in a subgroup of MDDs. Here, we review human, animal and neuronal cell culture data suggesting that both low-dose ketamine and SD can modulate circadian rhythms. We hypothesize that the rapid antidepressant actions of ketamine and SD may act, in part, to reset abnormal clock genes in MDD to restore and stabilize circadian rhythmicity. Conversely, clinical relapse may reflect a desynchronization of the clock, indicative of a reactivation of abnormal clock gene function. Future work could involve identifying specific small molecules capable of resetting and stabilizing clock genes to evaluate if they can rapidly relieve symptoms and sustain improvement.
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Affiliation(s)
- BG Bunney
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - JZ Li
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - DM Walsh
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - R Stein
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - MP Vawter
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - P Cartagena
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - JD Barchas
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | - AF Schatzberg
- Department of Psychiatry, Stanford University, Palo Alto, CA, USA
| | - RM Myers
- HudsonAlpha, Institute for Biotechnology, Huntsville, AL, USA
| | - SJ Watson
- Department of Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | - H Akil
- Department of Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | - WE Bunney
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA, USA
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32
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Myers RM, Balsamo L, Lu X, Devidas M, Hunger SP, Carroll WL, Winick NJ, Maloney KW, Kadan-Lottick NS. A prospective study of anxiety, depression, and behavioral changes in the first year after a diagnosis of childhood acute lymphoblastic leukemia: a report from the Children's Oncology Group. Cancer 2014; 120:1417-25. [PMID: 24473774 PMCID: PMC4319360 DOI: 10.1002/cncr.28578] [Citation(s) in RCA: 95] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2013] [Revised: 10/16/2013] [Accepted: 11/18/2013] [Indexed: 11/09/2022]
Abstract
BACKGROUND The authors prospectively assessed anxiety, depression, and behavior in children with standard-risk acute lymphoblastic leukemia (SR-ALL) during the first year of therapy and identified associated risk factors. METHODS A cohort study was performed of 159 children (aged 2 years-9.99 years) with SR-ALL who were enrolled on Children's Oncology Group protocol AALL0331 at 31 sites. Parents completed the Behavior Assessment System for Children, the General Functioning Scale of the Family Assessment Device, and the Coping Health Inventory for Parents at approximately 1, 6, and 12 months after diagnosis. RESULTS Overall, mean scores for anxiety, depression, aggression, and hyperactivity were similar to population norms. However, more children scored in the at-risk/clinical range for depression than the expected 15% at 1 month (21.7%; P= .022), 6 months (28.6%; P< .001), and 12 months (21.1%; P= .032). For anxiety, more children scored in the at-risk/clinical range at 1 month (25.2% vs 15%; P= .001), but then reverted to expected levels. On adjusted analysis, unhealthy family functioning was found to be predictive of anxiety (odds ratio [OR], 2.24; P= .033) and depression (OR, 2.40; P= .008). Hispanic ethnicity was associated with anxiety (OR, 3.35; P= .009). Worse physical functioning (P= .049), unmarried parents (P= .017), and less reliance on social support (P= .004) were found to be associated with depression. Emotional distress at 1 month predicted anxiety (OR, 7.11; P= .002) and depression (OR, 3.31; P= .023) at 12 months. CONCLUSIONS Anxiety is a significant problem in a subpopulation of patients with SR-ALL immediately after diagnosis, whereas depression remains a significant problem for at least 1 year. Children of Hispanic ethnicity or those with unhealthy family functioning may be particularly vulnerable. These data suggest that clinicians should screen for anxiety and depression throughout the first year of therapy.
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Affiliation(s)
- Regina M Myers
- Section of Pediatric Hematology/Oncology, Yale University School of Medicine and Yale Comprehensive Cancer Center, New Haven, Connecticut
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Reyna VF, Estrada SM, DeMarinis JA, Myers RM, Stanisz JM, Mills BA. Neurobiological and memory models of risky decision making in adolescents versus young adults. J Exp Psychol Learn Mem Cogn 2012; 37:1125-42. [PMID: 21707215 DOI: 10.1037/a0023943] [Citation(s) in RCA: 97] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Predictions of fuzzy-trace theory and neurobiological approaches are examined regarding risk taking in a classic decision-making task--the framing task--as well as in the context of real-life risk taking. We report the 1st study of framing effects in adolescents versus adults, varying risk and reward, and relate choices to individual differences, sexual behavior, and behavioral intentions. As predicted by fuzzy-trace theory, adolescents modulated risk taking according to risk and reward. Adults showed standard framing, reflecting greater emphasis on gist-based (qualitative) reasoning, but adolescents displayed reverse framing when potential gains for risk taking were high, reflecting greater emphasis on verbatim-based (quantitative) reasoning. Reverse framing signals a different way of thinking compared with standard framing (reverse framing also differs from simply choosing the risky option). Measures of verbatim- and gist-based reasoning about risk, sensation seeking, behavioral activation, and inhibition were used to extract dimensions of risk proneness: Sensation seeking increased and then decreased, whereas inhibition increased from early adolescence to young adulthood, predicted by neurobiological theories. Two additional dimensions, verbatim- and gist-based reasoning about risk, loaded separately and predicted unique variance in risk taking. Importantly, framing responses predicted real-life risk taking. Reasoning was the most consistent predictor of real-life risk taking: (a) Intentions to have sex, sexual behavior, and number of partners decreased when gist-based reasoning was triggered by retrieval cues in questions about perceived risk, whereas (b) intentions to have sex and number of partners increased when verbatim-based reasoning was triggered by different retrieval cues in questions about perceived risk.
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Affiliation(s)
- Valerie F Reyna
- Department of Human Development, Center for Behavioral Economics and Decision Research, Cornell University, Ithaca, NY 14853, USA.
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Zimmerman JW, Pennison MJ, Brezovich I, Yi N, Yang CT, Ramaker R, Absher D, Myers RM, Kuster N, Costa FP, Barbault A, Pasche B. Cancer cell proliferation is inhibited by specific modulation frequencies. Br J Cancer 2011; 106:307-13. [PMID: 22134506 PMCID: PMC3261663 DOI: 10.1038/bjc.2011.523] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Background: There is clinical evidence that very low and safe levels of amplitude-modulated electromagnetic fields administered via an intrabuccal spoon-shaped probe may elicit therapeutic responses in patients with cancer. However, there is no known mechanism explaining the anti-proliferative effect of very low intensity electromagnetic fields. Methods: To understand the mechanism of this novel approach, hepatocellular carcinoma (HCC) cells were exposed to 27.12 MHz radiofrequency electromagnetic fields using in vitro exposure systems designed to replicate in vivo conditions. Cancer cells were exposed to tumour-specific modulation frequencies, previously identified by biofeedback methods in patients with a diagnosis of cancer. Control modulation frequencies consisted of randomly chosen modulation frequencies within the same 100 Hz–21 kHz range as cancer-specific frequencies. Results: The growth of HCC and breast cancer cells was significantly decreased by HCC-specific and breast cancer-specific modulation frequencies, respectively. However, the same frequencies did not affect proliferation of nonmalignant hepatocytes or breast epithelial cells. Inhibition of HCC cell proliferation was associated with downregulation of XCL2 and PLP2. Furthermore, HCC-specific modulation frequencies disrupted the mitotic spindle. Conclusion: These findings uncover a novel mechanism controlling the growth of cancer cells at specific modulation frequencies without affecting normal tissues, which may have broad implications in oncology.
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Affiliation(s)
- J W Zimmerman
- Division of Hematology/Oncology, Department of Medicine, University of Alabama at Birmingham and UAB Comprehensive Cancer Center, 1802 6th Avenue South, NP 2566, Birmingham, AL 35294-3300, USA
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Perez-Rossello JM, Feldman HA, Kleinman PK, Connolly SA, Fair RA, Myers RM, Gordon CM. Rachitic changes, demineralization, and fracture risk in healthy infants and toddlers with vitamin D deficiency. Radiology 2011; 262:234-41. [PMID: 22106354 DOI: 10.1148/radiol.11110358] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To examine radiographic findings in children with vitamin D deficiency in comparison with biochemical marker levels and prevalence of fractures. MATERIALS AND METHODS The parents or guardians of all participants provided written informed consent at the time of enrollment. The institutional review board approved the protocol, and HIPAA guidelines were followed. From a prospective sample of children seen for routine clinical care, 40 children with vitamin D deficiency (25-hydroxyvitamin D [25-OHD] level, ≤ 20 ng/mL) were identified, and high-detail computed radiographs of the wrists and knees were obtained. The children ranged in age from 8 to 24 months. Radiographs were scored by three readers with use of the 10-point Thacher score for rachitic changes and a five-point scale for demineralization. Serum calcium, phosphorus, alkaline phosphatase, and parathyroid hormone levels were determined. Fracture history was obtained for 35 of the 40 patients (88%). RESULTS All readers identified rachitic changes at both readings in two patients (5%) and demineralization in two patients (5%). Interrater agreement was 65% for rachitic changes (κ = 0.33) and 70% for demineralization (κ = 0.37). When the majority of the raters determined that rachitic changes were absent at both readings, alkaline phosphatase levels were lower than those with other assessments (median, 267 vs 515 U/L [4.4589 vs 8.6005 μkat/L]; P = .01). When most raters determined that demineralization was present at both readings, serum 25-OHD levels were lower than those at other assessments (median, 9.0 vs 17.5 ng/mL [22.464 vs 43.68 nmol/L]; P = .02). No fractures were reported or identified radiographically. CONCLUSION In infants and toddlers with vitamin D deficiency, rachitic changes and definite demineralization are uncommon and fracture risk is low.
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McGuire V, Van Den Eeden SK, Tanner CM, Kamel F, Umbach DM, Marder K, Mayeux R, Ritz B, Ross GW, Petrovitch H, Topol B, Popat RA, Costello S, Manthripragada AD, Southwick A, Myers RM, Nelson LM. Association of DRD2 and DRD3 polymorphisms with Parkinson's disease in a multiethnic consortium. J Neurol Sci 2011; 307:22-9. [PMID: 21663922 PMCID: PMC3155471 DOI: 10.1016/j.jns.2011.05.031] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2010] [Revised: 05/16/2011] [Accepted: 05/18/2011] [Indexed: 10/18/2022]
Abstract
OBJECTIVE To examine genetic associations of polymorphisms in the dopamine receptor D2 (DRD2) and D3 (DRD3) genes with risk of Parkinson's disease (PD). METHODS The study included 1325 newly diagnosed patients with PD and 1735 controls from a consortium of five North American case-control studies. We collected risk factor information by in-person or telephone interview. Six DRD2 and two DRD3 polymorphisms were genotyped using a common laboratory. Odds ratios were estimated using logistic regression. RESULTS Among non-Hispanic whites, homozygous carriers of Taq1A DRD2 (rs1800497) polymorphism had an increased risk of PD compared to homozygous wildtype carriers (OR=1.5, 95% CI 1.0-2.3). In contrast, the direction of association for Taq1A polymorphism was opposite for African-Americans, showing an inverse association with PD risk (OR=0.10, 95% CI 0.2-0.7). Among white Hispanics who carried two alleles, the Ser9Gly DRD3 (rs6280) polymorphism was associated with a decreased risk of PD (OR=0.4, 95% CI 0.2-0.8). The inverse association of smoking with PD risk was not modified by any of the DRD2 or DRD3 polymorphisms. CONCLUSIONS DRD2 polymorphisms are unlikely to be true disease-causing variants; however, three DRD2 polymorphisms (including Taq1A) may be in linkage disequilibrium with possible disease associated variants in the DRD2-ANKK1-NCAM1-TTC12 gene cluster.
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Affiliation(s)
- V McGuire
- Department of Health Research and Policy, Division of Epidemiology, Stanford University School of Medicine, Stanford, CA 94305-5405, USA.
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Greenwood AK, Jones FC, Chan YF, Brady SD, Absher DM, Grimwood J, Schmutz J, Myers RM, Kingsley DM, Peichel CL. The genetic basis of divergent pigment patterns in juvenile threespine sticklebacks. Heredity (Edinb) 2011; 107:155-66. [PMID: 21304547 DOI: 10.1038/hdy.2011.1] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Animal pigment patterns are important for a range of functions, including camouflage and communication. Repeating pigment patterns, such as stripes, bars and spots have been of particular interest to developmental and theoretical biologists, but the genetic basis of natural variation in such patterns is largely unexplored. In this study, we identify a difference in a periodic pigment pattern among juvenile threespine sticklebacks (Gasterosteus aculeatus) from different environments. Freshwater sticklebacks exhibit prominent vertical bars that visually break up the body shape, but sticklebacks from marine populations do not. We hypothesize that these distinct pigment patterns are tuned to provide crypsis in different habitats. This phenotypic difference is widespread and appears in most of the freshwater populations that we sampled. We used quantitative trait locus (QTL) mapping in freshwater-marine F2 hybrids to elucidate the genetic architecture underlying divergence in this pigmentation pattern. We identified two QTL that were significantly associated with variation in barring. Interestingly, these QTL were associated with two distinct aspects of the pigment pattern: melanophore number and overall pigment level. We compared the QTL locations with positions of known pigment candidate genes in the stickleback genome. We also identified two major QTL for juvenile body size, providing new insights into the genetic basis of juvenile growth rates in natural populations. In summary, although there is a growing literature describing simple genetic bases for adaptive coloration differences, this study emphasizes that pigment patterns can also possess a more complex genetic architecture.
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Affiliation(s)
- A K Greenwood
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
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Popat RA, Van Den Eeden SK, Tanner CM, Kamel F, Umbach DM, Marder K, Mayeux R, Ritz B, Ross GW, Petrovitch H, Topol B, McGuire V, Costello S, Manthripragada AD, Southwick A, Myers RM, Nelson LM. Coffee, ADORA2A, and CYP1A2: the caffeine connection in Parkinson's disease. Eur J Neurol 2011; 18:756-65. [PMID: 21281405 PMCID: PMC3556904 DOI: 10.1111/j.1468-1331.2011.03353.x] [Citation(s) in RCA: 85] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND PURPOSE In 1-methyl-4-phenyl 1,2,3,6-tetrahydropyridine animal models of Parkinson's disease (PD), caffeine protects neurons by blocking the adenosine receptor A2A (ADORA2A). Caffeine is primarily metabolized by cytochrome P450 1A2 (CYP1A2). Our objective was to examine whether ADORA2A and CYP1A2 polymorphisms are associated with PD risk or modify the caffeine-PD association. METHODS Parkinson's Epidemiology and Genetic Associations Studies in the United States (PEGASUS) included five population-based case-control studies. One laboratory genotyped four ADORA2A and three CYP1A2 polymorphisms in 1325 PD cases and 1735 age- and sex-matched controls. Information regarding caffeine (coffee) consumption and other lifestyle factors came from structured in-person or telephone interviews. Odds ratios (OR) and 95% confidence intervals (CI) were estimated using logistic regression. RESULTS Two ADORA2A polymorphisms were inversely associated with PD risk - rs71651683, a 5' variant (adjusted allelic OR = 0.51, 95% CI 0.33-0.80, permutation-adjusted P = 0.015) and rs5996696, a promoter region variant (adjusted OR for AC and CC genotypes compared with the AA wild-type genotype were 0.76 (95% CI 0.57-1.02) and 0.37 (95% CI 0.13-1.01), respectively (permutation-adjusted P for trend = 0.04). CYP1A2 polymorphisms were not associated with PD risk; however, the coffee-PD association was strongest among subjects homozygous for either variant allele rs762551 (P(interaction) = 0.05) or rs2470890 (P(interaction) = 0.04). CONCLUSION In this consortium study, two ADORA2A polymorphisms were inversely associated with PD risk, but there was weak evidence of interaction with coffee consumption. In contrast, the coffee-PD association was strongest among slow metabolizers of caffeine who were homozygous carriers of the CYP1A2 polymorphisms.
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Affiliation(s)
- R A Popat
- Division of Epidemiology, Department of Health Research and Policy, School of Medicine, Stanford University, Stanford, CA 94305-5405, USA.
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Mendoza-Fandino GA, Gee JM, Ben-Dor S, Gonzalez-Quevedo C, Lee K, Kobayashi Y, Hartiala J, Myers RM, Leal SM, Allayee H, Patel PI. A novel g.-1258G>A mutation in a conserved putative regulatory element of PAX9 is associated with autosomal dominant molar hypodontia. Clin Genet 2010; 80:265-72. [PMID: 21443745 DOI: 10.1111/j.1399-0004.2010.01529.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Mutations in the transcription factor PAX9 which plays a critical role in the switching of odontogenic potential from the epithelium to the mesenchyme during tooth development cause autosomal dominant non-syndromic hypodontia primarily affecting molars. Linkage analysis on a family segregating autosomal dominant molar hypodontia with markers flanking and within PAX9 yielded a maximum multipoint LOD score of 3.6. No sequence variants were detected in the coding or 5'- and 3'-untranslated regions (UTRs) of PAX9. However, we identified a novel g.-1258G>A sequence variant in all affected individuals of the family but not in the unaffected family members or in 3088 control chromosomes. This mutation is within a putative 5'-regulatory sequence upstream of PAX9 highly conserved in primates, somewhat conserved in ungulates and carnivores but not conserved in rodents. Bioinformatics analysis of the sequence determined that there was no abolition or creation of a putative binding site for known transcription factors. Based on our previous findings that haploinsufficiency for PAX9 leads to hypodontia, we postulate that the g.-1258G>A variant reduces the expression of PAX9 which underlies the hypodontia phenotype in this family.
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Affiliation(s)
- G A Mendoza-Fandino
- Institute for Genetic Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Karssen AM, Her S, Li JZ, Patel PD, Meng F, Bunney WE, Jones EG, Watson SJ, Akil H, Myers RM, Schatzberg AF, Lyons DM. Stress-induced changes in primate prefrontal profiles of gene expression. Mol Psychiatry 2007; 12:1089-102. [PMID: 17893703 DOI: 10.1038/sj.mp.4002095] [Citation(s) in RCA: 71] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Stressful experiences that consistently increase cortisol levels appear to alter the expression of hundreds of genes in prefrontal limbic brain regions. Here, we investigate this hypothesis in monkeys exposed to intermittent social stress-induced episodes of hypercortisolism or a no-stress control condition. Prefrontal profiles of gene expression compiled from Affymetrix microarray data for monkeys randomized to the no-stress condition were consistent with microarray results published for healthy humans. In monkeys exposed to intermittent social stress, more genes than expected by chance appeared to be differentially expressed in ventromedial prefrontal cortex compared to monkeys not exposed to adult social stress. Most of these stress responsive candidate genes were modestly downregulated, including ubiquitin conjugation enzymes and ligases involved in synaptic plasticity, cell cycle progression and nuclear receptor signaling. Social stress did not affect gene expression beyond that expected by chance in dorsolateral prefrontal cortex or prefrontal white matter. Thirty four of 48 comparisons chosen for verification by quantitative real-time polymerase chain reaction (qPCR) were consistent with the microarray-predicted result. Furthermore, qPCR and microarray data were highly correlated. These results provide new insights on the regulation of gene expression in a prefrontal corticolimbic region involved in the pathophysiology of stress and major depression. Comparisons between these data from monkeys and those for ventromedial prefrontal cortex in humans with a history of major depression may help to distinguish the molecular signature of stress from other confounding factors in human postmortem brain research.
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Affiliation(s)
- A M Karssen
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305-5485, USA
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Myers RM, Greiner SM, Harvey ME, Griesmann G, Kuffel MJ, Buhrow SA, Reid JM, Federspiel M, Ames MM, Dingli D, Schweikart K, Welch A, Dispenzieri A, Peng KW, Russell SJ. Preclinical pharmacology and toxicology of intravenous MV-NIS, an oncolytic measles virus administered with or without cyclophosphamide. Clin Pharmacol Ther 2007; 82:700-10. [PMID: 17971816 DOI: 10.1038/sj.clpt.6100409] [Citation(s) in RCA: 102] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
MV-NIS is an oncolytic measles virus encoding the human thyroidal sodium iodide symporter (NIS). Here, we report the results of preclinical pharmacology and toxicology studies conducted in support of our clinical protocol "Phase I Trial of Systemic Administration of Edmonston Strain of Measles Virus, Genetically Engineered to Express NIS, with or without Cyclophosphamide, in Patients with Recurrent or Refractory Multiple Myeloma." Dose-response studies in the KAS-6/1 myeloma xenograft model demonstrated a minimum effective dose of 4 x 10(6) TCID50 (tissue culture infectious dose 50)/kg. Toxicity studies in measles-naive squirrel monkeys and measles-susceptible transgenic mice were negative at intravenous doses up to 10(8) and 4 x 10(8) TCID50/kg, respectively. Abundant viral mRNA, maximal on day 8, was detected in cheek swabs of squirrel monkeys, more so after pretreatment with cyclophosphamide. On the basis of these data, the safe starting dose of MV-NIS for our clinical protocol was set at 1-2 x 10(4) TCID50/kg (10(6) TCID50 per patient).
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Affiliation(s)
- R M Myers
- Department of Molecular Medicine, Mayo Clinic, Rochester, Minnesota, USA
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Choudary PV, Molnar M, Evans SJ, Tomita H, Li JZ, Vawter MP, Myers RM, Bunney WE, Akil H, Watson SJ, Jones EG. Altered cortical glutamatergic and GABAergic signal transmission with glial involvement in depression. Proc Natl Acad Sci U S A 2005; 102:15653-8. [PMID: 16230605 PMCID: PMC1257393 DOI: 10.1073/pnas.0507901102] [Citation(s) in RCA: 473] [Impact Index Per Article: 24.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Abnormalities in L-glutamic acid (glutamate) and GABA signal transmission have been postulated to play a role in depression, but little is known about the underlying molecular determinants and neural mechanisms. Microarray analysis of specific areas of cerebral cortex from individuals who had suffered from major depressive disorder demonstrated significant down-regulation of SLC1A2 and SLC1A3, two key members of the glutamate/neutral amino acid transporter protein family, SLC1. Similarly, expression of L-glutamate-ammonia ligase, the enzyme that converts glutamate to nontoxic glutamine was significantly decreased. Together, these changes could elevate levels of extracellular glutamate considerably, which is potentially neurotoxic and can affect the efficiency of glutamate signaling. The astroglial distribution of the two glutamate transporters and L-glutamate-ammonia ligase strongly links glia to the pathophysiology of depression and challenges the conventional notion that depression is solely a neuronal disorder. The same cortical areas displayed concomitant up-regulation of several glutamate and GABA(A) receptor subunits, of which GABA(A)alpha1 and GABA(A)beta3 showed selectivity for individuals who had died by suicide, indicating their potential utility as biomarkers of suicidality. These findings point to previously undiscovered molecular underpinnings of the pathophysiology of major depression and offer potentially new pharmacological targets for treating depression.
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Affiliation(s)
- P V Choudary
- Center for Neuroscience and Department of Psychiatry and Behavioral Sciences, University of California-Davis, 1544 Newton Court, Davis, CA 95616, USA
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Evans SJ, Choudary PV, Neal CR, Li JZ, Vawter MP, Tomita H, Lopez JF, Thompson RC, Meng F, Stead JD, Walsh DM, Myers RM, Bunney WE, Watson SJ, Jones EG, Akil H. Dysregulation of the fibroblast growth factor system in major depression. Proc Natl Acad Sci U S A 2004; 101:15506-11. [PMID: 15483108 PMCID: PMC523463 DOI: 10.1073/pnas.0406788101] [Citation(s) in RCA: 301] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
In this report we describe findings that imply dysregulation of several fibroblast growth factor (FGF) system transcripts in frontal cortical regions of brains from human subjects with major depressive disorder (MDD). This altered gene expression was discovered by microarray analysis of frontal cortical tissue from MDD, bipolar, and nonpsychiatric control subjects and was verified by quantitative real-time PCR analysis and, importantly, in a separate cohort of MDD subjects. Furthermore, we show, through a separate analysis of specific serotonin reuptake inhibitor (SSRI)-treated and non-SSRI-treated MDD subjects that the observed changes in expression of FGF transcripts are not secondary to drug treatment. Rather, changes in specific FGF transcripts are attenuated by SSRIs and may thus be partially responsible for the mechanism of action of these drugs. We also make available the gene-expression profile of all of the other growth factors and growth factor receptors detected in these postmortem samples.
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Affiliation(s)
- S J Evans
- Department of Psychiatry and Mental Health Research Institute, University of Michigan, Ann Arbor, MI 48109, USA.
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Houseweart MK, Vilaythong A, Yin XM, Turk B, Noebels JL, Myers RM. Apoptosis caused by cathepsins does not require Bid signaling in an in vivo model of progressive myoclonus epilepsy (EPM1). Cell Death Differ 2003; 10:1329-35. [PMID: 12934064 DOI: 10.1038/sj.cdd.4401309] [Citation(s) in RCA: 51] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Apoptosis can be mediated by mechanisms other than the traditional caspase-mediated cleavage cascade. There is growing recognition that alternative proteolytic enzymes such as the lysosomal cathepsin proteases can initiate or propagate proapoptotic signals, but it is currently unclear how cathepsins achieve these actions. Recent in vitro evidence suggests that cathepsins cleave the proapoptotic Bcl-2 family member Bid, thereby activating it and allowing it to induce the mitochondrial release of cytochrome c and subsequent apoptosis. We have tested this hypothesis in vivo by breeding mice that lack cathepsin inhibition (cystatin B-deficient mice) to Bid-deficient mice, to determine whether the apoptosis caused by cathepsins is dependent on Bid signaling. We found that cathepsins are still able to promote apoptosis even in the absence of Bid, indicating that these proteases mediate apoptosis via a different pathway, or that some other molecule can functionally substitute for Bid in this system.
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Affiliation(s)
- M K Houseweart
- Department of Genetics, School of Medicine, Stanford University, 300 Pasteur Drive, Stanford, CA 94305-5120, USA
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Evans SJ, Choudary PV, Vawter MP, Li J, Meador-Woodruff JH, Lopez JF, Burke SM, Thompson RC, Myers RM, Jones EG, Bunney WE, Watson SJ, Akil H. DNA microarray analysis of functionally discrete human brain regions reveals divergent transcriptional profiles. Neurobiol Dis 2003; 14:240-50. [PMID: 14572446 PMCID: PMC3098567 DOI: 10.1016/s0969-9961(03)00126-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Transcriptional profiles within discrete human brain regions are likely to reflect structural and functional specialization. Using DNA microarray technology, this study investigates differences in transcriptional profiles of highly divergent brain regions (the cerebellar cortex and the cerebral cortex) as well as differences between two closely related brain structures (the anterior cingulate cortex and the dorsolateral prefrontal cortex). Replication of this study across three independent laboratories, to address false-positive and false-negative results using microarray technology, is also discussed. We find greater than a thousand transcripts to be differentially expressed between cerebellum and cerebral cortex and very few transcripts to be differentially expressed between the two neocortical regions. We further characterized transcripts that were found to be specifically expressed within brain regions being compared and found that ontological classes representing signal transduction machinery, neurogenesis, synaptic transmission, and transcription factors were most highly represented.
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Affiliation(s)
- S J Evans
- Pritzker Consortium for Severe Psychiatric Disorders, San Francisco, CA, USA.
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Schmutz J, Wheeler J, Grimwood J, Dickson M, Myers RM. Assessing the quality of finished genomic sequence. Cold Spring Harb Symp Quant Biol 2003; 68:31-7. [PMID: 15338600 DOI: 10.1101/sqb.2003.68.31] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Affiliation(s)
- J Schmutz
- Stanford Human Genome Center, Stanford University School of Medicine, Palo Alto, California 94304, USA
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Abstract
Wave-front sensing from artificial beacons is normally performed by formation of a focused spot in the atmosphere and sensing of the wave-front distortions produced during the beam's return passage. We propose an alternative method that senses the distortions produced during the outgoing path by forming an intensity pattern in the atmosphere that is then viewed from the ground. A key advantage of this method is that a parallel beam is used, and therefore the wave-front measurements will not suffer from the effects of focal anisoplanatism. We also envisage other geometries, all based on the concept of projecting a pupil pattern onto the atmosphere.
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48
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Abstract
Lord (1992) published a brief report showing a trend for decreasing nonverbal IQ scores with increasing birth order in a sample of 16 autism multiplex families, and urged replication in a larger sample. In this report, analyses of nonverbal IQ scores for a sample of 144 autism multiplex families indicated that nonverbal IQ scores were significantly lower in secondborn compared with firstborn siblings with autism. This birth order effect was independent of gender as well as the age differences within sib pairs. No such birth order effects were found for social or communicative deficits as measured by the Autism Diagnostic Interview-Revised (ADI-R), but there was a modest tendency for increased scores for ritualistic behaviors for the firstborn sibs. Further, there were no gender differences on nonverbal IQ scores in this sample. Results are discussed in terms of implications for genetic studies of autism.
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Affiliation(s)
- D Spiker
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA 94305-5719, USA
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49
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Lieuallen K, Pennacchio LA, Park M, Myers RM, Lennon GG. Cystatin B-deficient mice have increased expression of apoptosis and glial activation genes. Hum Mol Genet 2001; 10:1867-71. [PMID: 11555622 DOI: 10.1093/hmg/10.18.1867] [Citation(s) in RCA: 72] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Loss-of-function mutations in the cystatin B (Cstb) gene cause a neurological disorder known as Unverricht-Lundborg disease (EPM1) in human patients. Mice that lack Cstb provide a mammalian model for EPM1 by displaying progressive ataxia and myoclonic seizures. We analyzed RNAs from brains of Cstb-deficient mice by using modified differential display, oligonucleotide microarray hybridization and quantitative reverse transcriptase polymerase chain reaction to examine the molecular consequences of the lack of Cstb. We identified seven genes that have consistently increased transcript levels in neurological tissues from the knockout mice. These genes are cathepsin S, C1q B-chain of complement (C1qB), beta2-microglobulin, glial fibrillary acidic protein (Gfap), apolipoprotein D, fibronectin 1 and metallothionein II, which are expected to be involved in increased proteolysis, apoptosis and glial activation. The molecular changes in Cstb-deficient mice are consistent with the pathology found in the mouse model and may provide clues towards the identification of therapeutic points of intervention for EPM1 patients.
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Affiliation(s)
- K Lieuallen
- Gene Logic Inc., 708 Quince Orchard Road, Gaithersburg, MD 20878, USA
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50
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Wu Q, Zhang T, Cheng JF, Kim Y, Grimwood J, Schmutz J, Dickson M, Noonan JP, Zhang MQ, Myers RM, Maniatis T. Comparative DNA sequence analysis of mouse and human protocadherin gene clusters. Genome Res 2001; 11:389-404. [PMID: 11230163 PMCID: PMC311048 DOI: 10.1101/gr.167301] [Citation(s) in RCA: 195] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The genomic organization of the human protocadherin alpha, beta, and gamma gene clusters (designated Pcdh alpha [gene symbol PCDHA], Pcdh beta [PCDHB], and Pcdh gamma [PCDHG]) is remarkably similar to that of immunoglobulin and T-cell receptor genes. The extracellular and transmembrane domains of each protocadherin protein are encoded by an unusually large "variable" region exon, while the intracellular domains are encoded by three small "constant" region exons located downstream from a tandem array of variable region exons. Here we report the results of a comparative DNA sequence analysis of the orthologous human (750 kb) and mouse (900 kb) protocadherin gene clusters. The organization of Pcdh alpha and Pcdh gamma gene clusters in the two species is virtually identical, whereas the mouse Pcdh beta gene cluster is larger and contains more genes than the human Pcdh beta gene cluster. We identified conserved DNA sequences upstream of the variable region exons, and found that these sequences are more conserved between orthologs than between paralogs. Within this region, there is a highly conserved DNA sequence motif located at about the same position upstream of the translation start codon of each variable region exon. In addition, the variable region of each gene cluster contains a rich array of CpG islands, whose location corresponds to the position of each variable region exon. These observations are consistent with the proposal that the expression of each variable region exon is regulated by a distinct promoter, which is highly conserved between orthologous variable region exons in mouse and human.
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Affiliation(s)
- Q Wu
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138, USA
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