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Bader CS, Pavlova A, Lowsky R, Muffly LS, Shiraz P, Arai S, Johnston LJ, Rezvani AR, Weng WK, Miklos DB, Frank MJ, Tamaresis JS, Agrawal V, Bharadwaj S, Sidana S, Shizuru JA, Fernhoff NB, Putnam A, Killian S, Xie BJ, Negrin RS, Meyer EH. Single-center randomized trial of T-reg graft alone vs T-reg graft plus tacrolimus for the prevention of acute GVHD. Blood Adv 2024; 8:1105-1115. [PMID: 38091578 PMCID: PMC10907400 DOI: 10.1182/bloodadvances.2023011625] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 09/11/2023] [Accepted: 11/27/2023] [Indexed: 02/29/2024] Open
Abstract
ABSTRACT Allogeneic hematopoietic cell transplantation (HCT) is a curative therapy for hematological malignancies for which graft-versus-host disease (GVHD) remains a major complication. The use of donor T-regulatory cells (Tregs) to prevent GVHD appears promising, including in our previous evaluation of an engineered graft product (T-reg graft) consisting of the timed, sequential infusion of CD34+ hematopoietic stem cells and high-purity Tregs followed by conventional T cells. However, whether immunosuppressive prophylaxis can be removed from this protocol remains unclear. We report the results of the first stage of an open-label single-center phase 2 study (NCT01660607) investigating T-reg graft in myeloablative HCT of HLA-matched and 9/10-matched recipients. Twenty-four patients were randomized to receive T-reg graft alone (n = 12) or T-reg graft plus single-agent GVHD prophylaxis (n = 12) to determine whether T-reg graft alone was noninferior in preventing acute GVHD. All patients developed full-donor myeloid chimerism. Patients with T-reg graft alone vs with prophylaxis had incidences of grade 3 to 4 acute GVHD of 58% vs 8% (P = .005) and grade 3 to 4 of 17% vs 0% (P = .149), respectively. The incidence of moderate-to-severe chronic GVHD was 28% in the T-reg graft alone arm vs 0% with prophylaxis (P = .056). Among patients with T-reg graft and prophylaxis, CD4+ T-cell-to-Treg ratios were reduced after transplantation, gene expression profiles showed reduced CD4+ proliferation, and the achievement of full-donor T-cell chimerism was delayed. This study indicates that T-reg graft with single-agent tacrolimus is preferred over T-reg graft alone for the prevention of acute GVHD. This trial was registered at www.clinicaltrials.gov as #NCT01660607.
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Affiliation(s)
- Cameron S. Bader
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
| | - Anna Pavlova
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
| | - Robert Lowsky
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
- Cellular Immune Tolerance Program, Stanford Department of Medicine, Stanford University, Stanford, CA
| | - Lori S. Muffly
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
| | - Parveen Shiraz
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
| | - Sally Arai
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
- Cellular Immune Tolerance Program, Stanford Department of Medicine, Stanford University, Stanford, CA
| | - Laura J. Johnston
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
| | - Andrew R. Rezvani
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
| | - Wen-Kai Weng
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
- Cellular Immune Tolerance Program, Stanford Department of Medicine, Stanford University, Stanford, CA
| | - David B. Miklos
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
| | - Matthew J. Frank
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
| | | | - Vaibhav Agrawal
- Department of Hematology and Hematopoietic Stem Cell Transplantation, City of Hope, Duarte, CA
| | - Sushma Bharadwaj
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
| | - Surbhi Sidana
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
| | - Judith A. Shizuru
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
| | | | | | | | | | - Robert S. Negrin
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
- Cellular Immune Tolerance Program, Stanford Department of Medicine, Stanford University, Stanford, CA
| | - Everett H. Meyer
- Stanford Blood and Marrow Transplantation and Cellular Therapy Division, Stanford School of Medicine, Stanford University, Stanford, CA
- Cellular Immune Tolerance Program, Stanford Department of Medicine, Stanford University, Stanford, CA
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Spinner MA, Sica RA, Tamaresis JS, Lu Y, Chang C, Lowsky R, Frank MJ, Johnston LJ, Miklos DB, Muffly LS, Negrin RS, Rezvani AR, Shiraz P, Shizuru JA, Weng WK, Binkley MS, Hoppe RT, Advani RH, Arai S. Improved outcomes for relapsed/refractory Hodgkin lymphoma after autologous transplantation in the era of novel agents. Blood 2023; 141:2727-2737. [PMID: 36857637 DOI: 10.1182/blood.2022018827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/04/2023] [Accepted: 02/03/2023] [Indexed: 03/03/2023] Open
Abstract
The treatment landscape of relapsed/refractory (R/R) classic Hodgkin lymphoma (cHL) has evolved significantly over the past decade after the approval of brentuximab vedotin (BV) and the programmed death-1 (PD-1) inhibitors. We evaluated how outcomes and practice patterns have changed for patients with R/R cHL who underwent autologous hematopoietic cell transplantation (AHCT) at our institution from 2011 to 2020 (N = 183) compared with those from 2001 to 2010 (N = 159) and evaluated prognostic factors for progression-free survival (PFS) and overall survival (OS) in both eras. OS was superior in the modern era with a trend toward lower nonrelapse mortality beyond 2 years after transplant. Among patients who progressed after AHCT, 4-year postprogression survival increased from 43.3% to 71.4% in the modern era, reflecting increasing use of BV and the PD-1 inhibitors. In multivariable analysis for patients that underwent transplant in the modern era, age ≥45 years, primary refractory disease, and lack of complete remission pre-AHCT were associated with inferior PFS, whereas receipt of a PD-1 inhibitor-based regimen pre-AHCT was associated with superior PFS. Extranodal disease at relapse was associated with inferior OS. Our study demonstrates improved survival for R/R cHL after AHCT in the modern era attributed to more effective salvage regimens allowing for better disease control pre-AHCT and improved outcomes for patients who progressed after AHCT. Excellent outcomes were observed with PD-1 inhibitor-based salvage regimens pre-AHCT and support a randomized trial evaluating immunotherapy in the second line setting.
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Affiliation(s)
- Michael A Spinner
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
- Division of Hematology/Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA
| | - R A Sica
- Division of Oncology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
| | - John S Tamaresis
- Department of Biomedical Data Science, Stanford University, Stanford, CA
| | - Ying Lu
- Department of Biomedical Data Science, Stanford University, Stanford, CA
| | - Cheryl Chang
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
| | - Robert Lowsky
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA
| | - Matthew J Frank
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA
| | - Laura J Johnston
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA
| | - David B Miklos
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA
| | - Lori S Muffly
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA
| | - Robert S Negrin
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA
| | - Andrew R Rezvani
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA
| | - Parveen Shiraz
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA
| | - Judith A Shizuru
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA
| | - Wen-Kai Weng
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA
| | | | - Richard T Hoppe
- Department of Radiation Oncology, Stanford University, Stanford, CA
| | - Ranjana H Advani
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
| | - Sally Arai
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA
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3
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Good Z, Spiegel JY, Sahaf B, Malipatlolla MB, Ehlinger ZJ, Kurra S, Desai MH, Reynolds WD, Wong Lin A, Vandris P, Wu F, Prabhu S, Hamilton MP, Tamaresis JS, Hanson PJ, Patel S, Feldman SA, Frank MJ, Baird JH, Muffly L, Claire GK, Craig J, Kong KA, Wagh D, Coller J, Bendall SC, Tibshirani RJ, Plevritis SK, Miklos DB, Mackall CL. Post-infusion CAR T Reg cells identify patients resistant to CD19-CAR therapy. Nat Med 2022; 28:1860-1871. [PMID: 36097223 PMCID: PMC10917089 DOI: 10.1038/s41591-022-01960-7] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [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: 05/03/2022] [Accepted: 07/19/2022] [Indexed: 12/28/2022]
Abstract
Approximately 60% of patients with large B cell lymphoma treated with chimeric antigen receptor (CAR) T cell therapies targeting CD19 experience disease progression, and neurotoxicity remains a challenge. Biomarkers associated with resistance and toxicity are limited. In this study, single-cell proteomic profiling of circulating CAR T cells in 32 patients treated with CD19-CAR identified that CD4+Helios+ CAR T cells on day 7 after infusion are associated with progressive disease and less severe neurotoxicity. Deep profiling demonstrated that this population is non-clonal and manifests hallmark features of T regulatory (TReg) cells. Validation cohort analysis upheld the link between higher CAR TReg cells with clinical progression and less severe neurotoxicity. A model combining expansion of this subset with lactate dehydrogenase levels, as a surrogate for tumor burden, was superior for predicting durable clinical response compared to models relying on each feature alone. These data credential CAR TReg cell expansion as a novel biomarker of response and toxicity after CAR T cell therapy and raise the prospect that this subset may regulate CAR T cell responses in humans.
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Affiliation(s)
- Zinaida Good
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
- Parker Institute for Cancer Immunotherapy, Stanford University School of Medicine, Stanford, CA, USA
| | - Jay Y Spiegel
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University School of Medicine, Stanford, CA, USA
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Bita Sahaf
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Meena B Malipatlolla
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Zach J Ehlinger
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Sreevidya Kurra
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Homer Stryker M.D. School of Medicine, Western Michigan University, Kalamazoo, MI, USA
| | - Moksha H Desai
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Warren D Reynolds
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Anita Wong Lin
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Research Lab, Flow Cytometry Core Facility, University of California, Berkeley, Berkeley, CA, USA
| | - Panayiotis Vandris
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Fang Wu
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Snehit Prabhu
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Mark P Hamilton
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University School of Medicine, Stanford, CA, USA
| | - John S Tamaresis
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Paul J Hanson
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University School of Medicine, Stanford, CA, USA
| | - Shabnum Patel
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Laboratory for Cell and Gene Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Syncopation Life Sciences, San Mateo, CA, USA
| | - Steven A Feldman
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Laboratory for Cell and Gene Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew J Frank
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University School of Medicine, Stanford, CA, USA
| | - John H Baird
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University School of Medicine, Stanford, CA, USA
- Department of Hematology and Hematopoietic Cell Transplantation, Division of Lymphoma, City of Hope National Medical Center, Duarte, CA, USA
| | - Lori Muffly
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University School of Medicine, Stanford, CA, USA
| | - Gursharan K Claire
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University School of Medicine, Stanford, CA, USA
| | - Juliana Craig
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University School of Medicine, Stanford, CA, USA
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Katherine A Kong
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Dhananjay Wagh
- Stanford Genomics Facility, Stanford University School of Medicine, Stanford, CA, USA
| | - John Coller
- Stanford Genomics Facility, Stanford University School of Medicine, Stanford, CA, USA
| | - Sean C Bendall
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Parker Institute for Cancer Immunotherapy, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Robert J Tibshirani
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
- Department of Statistics, Stanford University, Stanford, CA, USA
| | - Sylvia K Plevritis
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - David B Miklos
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Medicine, Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University School of Medicine, Stanford, CA, USA.
| | - Crystal L Mackall
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
- Parker Institute for Cancer Immunotherapy, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Medicine, Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
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4
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Lu Y, Zhao Q, Zou J, Yan S, Tamaresis JS, Nelson L, Tu XM, Chen J, Tian L. A Composite Endpoint for Treatment Benefit According to Patient Preference. Stat Biopharm Res 2022; 14:408-422. [PMID: 37981982 PMCID: PMC10655937 DOI: 10.1080/19466315.2022.2085783] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 05/20/2022] [Accepted: 05/25/2022] [Indexed: 10/18/2022]
Abstract
Complex disorders usually affect multiple symptom domains measured by several outcomes. The importance of these outcomes is often different among patients. Current approaches integrate multiple outcomes without considering patient preferences at the individual level. In this paper, we propose a new composite Desirability of Outcome Ranking (DOOR) that integrates individual level ranking of outcome importance and define a winning probability measuring the overall treatment effect. Stratified randomization can be performed based on the participants' baseline outcome rankings. A Wilcoxon-Mann-Whitney U-statistic is used to average the pairwise DOOR between one treated and one control patient, considering the difference in these patients' ranking of outcome importance. We use both theoretical and empirical methods to examine the statistical properties of our method and to compare with conventional approaches. We conclude that the proposed composite DOOR properly reflects patient-level preferences and can be used in pivotal trials or comparative effectiveness trials for a patient-centered evaluation of overall treatment benefits.
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Affiliation(s)
- Ying Lu
- Department of Biomedical Data Science, Stanford University School of Medicine
- Department of Epidemiology and Population Health, Stanford University School of Medicine
| | - Qian Zhao
- Department of Biomedical Data Science, Stanford University School of Medicine
- Department of Biostatistics, Guangzhou Medical University
| | - Jiying Zou
- Department of Statistics, Stanford University
| | - Shiyan Yan
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences
| | - John S. Tamaresis
- Department of Biomedical Data Science, Stanford University School of Medicine
| | - Lorene Nelson
- Department of Epidemiology and Population Health, Stanford University School of Medicine
| | - Xin M. Tu
- Department of Family Medicine and Health Sciences, University of California, San Diego
| | | | - Lu Tian
- Department of Biomedical Data Science, Stanford University School of Medicine
- Department of Statistics, Stanford University
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Majzner RG, Ramakrishna S, Mochizuki A, Patel S, Chinnasamy H, Yeom K, Schultz L, Richards R, Campen C, Reschke A, Mahdi J, Toland AMS, Baggott C, Mavroukakis S, Egeler E, Moon J, Landrum K, Erickson C, Rasmussen L, Barsan V, Tamaresis JS, Marcy AC, Kunicki M, Fujimoto M, Ehlinger Z, Kurra S, Cornell T, Partap S, Fisher P, Grant G, Vogel H, Sahaf B, Davis K, Feldman S, Mackall CL, Monje M. Abstract CT031: GD2 CAR T cells mediate clinical activity and manageable toxicity in children and young adults with DIPG and H3K27M-mutated diffuse midline gliomas. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-ct031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Diffuse intrinsic pontine glioma (DIPG) and other H3K27M-mutated diffuse midline gliomas (DMGs) are universally lethal central nervous system tumors. We previously discovered that the disialoganglioside GD2 is highly and homogenously expressed on H3K27M+ gliomas and demonstrated that GD2 CAR T cells are effective in preclinical models (Mount/Majzner et al., Nat Med, 2018).
Methods: Four subjects (3 DIPG, 1 spinal cord DMG; 4-25 yr; 1M/3F) were enrolled at DL1. Three subjects with H3K27M+ DIPG received 1e6 autologous GD2 CAR T cells/kg intravenously (IV) on study. One patient, a 25 y/o with spinal cord DMG, developed rapidly progressive disease after enrollment, resulting in complete paraparesis that led to removal from the study prior to cell infusion; she was treated on a single patient eIND with the same treatment regimen as DL1. We utilized a retroviral vector expressing a 14g2a.4-1BB.z CAR construct and an inducible iCasp9 safety switch. Manufacturing was performed in the Miltenyi Prodigy on CD4/CD8 enriched apheresis product. CAR T cells were cultured in the presence of dasatinib to improve T cell fitness (Weber et al., Science, 2021). An Ommaya reservoir was placed in all patients for monitoring of intracranial pressure (ICP).
Results: We generated GD2 CAR T cell products meeting release criteria for all four patients. All subjects received lymphodepletion with cyclophosphamide and fludarabine and remained inpatient for 14+ days after infusion. All patients developed cytokine release syndrome (Grade 1-3) manifested by fever, tachycardia and hypotension, beginning 6-7 days after infusion. Due to concern for tumoral edema and increased ICP, patients were managed with conservative fluid resuscitation, and early intervention with tocilizumab and anakinra +/- corticosteroids. Other toxicities included ICANS (Grade 1-2) and neurotoxicity mediated by inflammation in sites of disease which we have termed Tumor Inflammation-Associated Neurotoxicity (TIAN). TIAN most often manifested as worsening of existing deficits, but one patient developed symptoms of increased ICP which quickly resolved upon removal of CSF via the Ommaya. No evidence of on-target, off-tumor toxicity was observed in any patients. No dose-limiting toxicities occurred.CAR T cells trafficked to the CNS and were detected in both the CSF and peripheral blood. Inflammatory cytokines including IL-6 were elevated in the CSF and blood. 3/4 patients exhibited marked improvement or resolution of neurological deficits and some radiographic improvement. The patient treated on a single patient eIND exhibited a >90% reduction in her spinal cord DMG tumor volume at two months post-infusion. Durability of the therapeutic benefit remains to be determined.
Conclusions: This is the first report of GD2 CAR T cell therapy for DIPG and spinal cord DMG. Toxicities are similar to other CAR T cells with additional, manageable complications due to inflammation at CNS sites of tumor. Treatment at DL1 demonstrated a tolerable safety profile and clear signs of T cell expansion and activity including clinical responses. This approach has the potential to transform therapy for patients with H3K27M+ DIPG/DMG. Further correlative studies, including single-cell RNAseq, longer-term outcomes and results from patients on subsequent dose levels will also be presented.
Citation Format: Robbie G. Majzner, Sneha Ramakrishna, Aaron Mochizuki, Shabnum Patel, Harshini Chinnasamy, Kristen Yeom, Liora Schultz, Rebecca Richards, Cynthia Campen, Agnes Reschke, Jasia Mahdi, Angus Martin Shaw Toland, Christina Baggott, Sharon Mavroukakis, Emily Egeler, Jennifer Moon, Kayla Landrum, Courtney Erickson, Lindsey Rasmussen, Valentin Barsan, John S. Tamaresis, Anne Cunniffe Marcy, Michael Kunicki, Michelle Fujimoto, Zach Ehlinger, Sreevidya Kurra, Timothy Cornell, Sonia Partap, Paul Fisher, Gerald Grant, Hannes Vogel, Bita Sahaf, Kara Davis, Steven Feldman, Crystal L. Mackall, Michelle Monje. GD2 CAR T cells mediate clinical activity and manageable toxicity in children and young adults with DIPG and H3K27M-mutated diffuse midline gliomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr CT031.
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Affiliation(s)
| | | | | | - Shabnum Patel
- Stanford University School of Medicine, Palo Alto, CA
| | | | - Kristen Yeom
- Stanford University School of Medicine, Palo Alto, CA
| | - Liora Schultz
- Stanford University School of Medicine, Palo Alto, CA
| | | | | | - Agnes Reschke
- Stanford University School of Medicine, Palo Alto, CA
| | - Jasia Mahdi
- Stanford University School of Medicine, Palo Alto, CA
| | | | | | | | - Emily Egeler
- Stanford University School of Medicine, Palo Alto, CA
| | - Jennifer Moon
- Stanford University School of Medicine, Palo Alto, CA
| | - Kayla Landrum
- Stanford University School of Medicine, Palo Alto, CA
| | | | | | | | | | | | | | | | - Zach Ehlinger
- Stanford University School of Medicine, Palo Alto, CA
| | | | | | - Sonia Partap
- Stanford University School of Medicine, Palo Alto, CA
| | - Paul Fisher
- Stanford University School of Medicine, Palo Alto, CA
| | - Gerald Grant
- Stanford University School of Medicine, Palo Alto, CA
| | - Hannes Vogel
- Stanford University School of Medicine, Palo Alto, CA
| | - Bita Sahaf
- Stanford University School of Medicine, Palo Alto, CA
| | - Kara Davis
- Stanford University School of Medicine, Palo Alto, CA
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Dong M, Yang W, Tamaresis JS, Chan FP, Zucker EJ, Kumar S, Rabinovitch M, Marsden AL, Feinstein JA. Image-based scaling laws for somatic growth and pulmonary artery morphometry from infancy to adulthood. Am J Physiol Heart Circ Physiol 2020; 319:H432-H442. [PMID: 32618514 DOI: 10.1152/ajpheart.00123.2020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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] [Indexed: 11/22/2022]
Abstract
Pulmonary artery (PA) morphometry has been extensively explored in adults, with particular focus on intra-acinar arteries. However, scaling law relationships for length and diameter of extensive preacinar PAs by age have not been previously reported for in vivo human data. To understand preacinar PA growth spanning children to adults, we performed morphometric analyses of all PAs visible in the computed tomography (CT) and magnetic resonance (MR) images from a healthy subject cohort [n = 16; age: 1-51 yr; body surface area (BSA): 0.49-2.01 m2]. Subject-specific anatomic PA models were constructed from CT and MR images, and morphometric information-diameter, length, tortuosity, bifurcation angle, and connectivity-was extracted and sorted into diameter-defined Strahler orders. Validation of Murray's law, describing optimal scaling exponents of radii for branching vessels, was performed to determine how closely PAs conform to this classical relationship. Using regression analyses of vessel diameters and lengths against orders and patient metrics (BSA, age, height), we found that diameters increased exponentially with order and allometrically with patient metrics. Length increased allometrically with patient metrics, albeit weakly. The average tortuosity index of all vessels was 0.026 ± 0.024, average bifurcation angle was 28.2 ± 15.1°, and average Murray's law exponent was 2.92 ± 1.07. We report a set of scaling laws for vessel diameter and length, along with other morphometric information. These provide an initial understanding of healthy structural preacinar PA development with age, which can be used for computational modeling studies and comparison with diseased PA anatomy.NEW & NOTEWORTHY Pulmonary artery (PA) morphometry studies to date have focused primarily on large arteries and intra-acinar arteries in either adults or children, neglecting preacinar arteries in both populations. Our study is the first to quantify in vivo preacinar PA morphometry changes spanning infants to adults. For preacinar arteries > 1 mm in diameter, we identify scaling laws for vessel diameters and lengths with patient metrics of growth and establish a healthy PA morphometry baseline for most preacinar PAs.
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Affiliation(s)
- Melody Dong
- Department of Bioengineering, Stanford University, Stanford, California
| | - Weiguang Yang
- Department of Pediatrics-Cardiology, Stanford University, Stanford, California
| | - John S Tamaresis
- Department of Biomedical Data Science, Stanford University, Stanford, California
| | - Frandics P Chan
- Department of Radiology, Stanford University, Stanford, California
| | - Evan J Zucker
- Department of Radiology, Stanford University, Stanford, California
| | - Sahana Kumar
- Department of Pediatrics-Cardiology, Stanford University, Stanford, California
| | - Marlene Rabinovitch
- Department of Pediatrics-Cardiology, Stanford University, Stanford, California
| | - Alison L Marsden
- Department of Bioengineering, Stanford University, Stanford, California.,Department of Pediatrics-Cardiology, Stanford University, Stanford, California
| | - Jeffrey A Feinstein
- Department of Bioengineering, Stanford University, Stanford, California.,Department of Pediatrics-Cardiology, Stanford University, Stanford, California
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Shah O, Tamaresis JS, Kenyon LJ, Xu L, Zheng P, Gupta P, Rangarajan K, Lee S, Spellman S, Nikiforow S, Zehnder J, Meyer EH. Analysis of the Whole CDR3 T Cell Receptor Repertoire after Hematopoietic Stem Cell Transplantation in 2 Clinical Cohorts. Biol Blood Marrow Transplant 2020; 26:1050-1070. [PMID: 32081787 DOI: 10.1016/j.bbmt.2020.01.020] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 01/12/2020] [Accepted: 01/27/2020] [Indexed: 01/19/2023]
Abstract
A major cause of morbidity and mortality for patients who undergo hematologic stem cell transplantation (HSCT) is acute graft-versus-host disease (aGVHD), a mostly T cell-mediated disease. Examination of the T cell receptor (TCR) repertoire of HSCT recipients and the use of next-generation nucleotide sequencing have raised the question of whether features of TCR repertoire reconstitution might reproducibly associate with aGVHD. We hypothesized that the peripheral blood TCR repertoire of patients with steroid-nonresponsive aGVHD would be less diverse. We also hypothesized that patients with GVHD who shared HLA might also share common clones at the time of GVHD diagnosis, thereby potentially providing potential clinical indicators for treatment stratification. We further hypothesized that HSCT recipients with the same HLA mismatch might share a more similar TCR repertoire based on a potentially shared focus of alloreactive responses. We studied 2 separate patient cohorts and 2 separate platforms for measuring TCR repertoire. The first cohort of patients was from a multicenter Phase III randomized double-blinded clinical trial of patients who developed aGVHD (NCT01002742). The second cohort comprised samples from biobanks from 2 transplantation centers and the Center for International Blood and Marrow Transplant Research of patients who underwent mismatched HSCT. There were no statistically significant differences in the TCR diversity of steroid responders and nonresponders among patients with aGVHD on the day of diagnosis. Most clones in the repertoire were unique to each patient, but a small number of clones were found to be both exclusive to and shared among aGVHD nonresponders. We were also able to show a strong correlation between the presence of Vβ20 and Vβ29 and steroid responsiveness. Using the Bhattacharya coefficient, those patients who shared the same HLA mismatch were shown to be no more similar to one another than to those who had a completely different mismatch. Using 2 separate clinical cohorts and 2 separate platforms for analyzing the TCR repertoire, we have shown that the sampled human TCR repertoire is largely unique to each patient but contains glimmers of common clones of subsets of clones based on responsiveness to steroids in aGVHD on the day of diagnosis. These studies are informative for future strategies to assess for reproducible TCR responses in human alloreactivity and possible markers of GVHD responsiveness to therapy.
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Affiliation(s)
- Omid Shah
- Division of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, California
| | - John S Tamaresis
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California
| | - Laura Jean Kenyon
- Division of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, California
| | - Liwen Xu
- Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Pingping Zheng
- Division of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, California
| | - Puja Gupta
- Division of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, California
| | - Krish Rangarajan
- Division of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, California
| | - Stephanie Lee
- Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stephen Spellman
- National Marrow Donor Program/C Center for International Blood and Marrow Transplant Research, Minneapolis, Minnesota
| | | | - James Zehnder
- Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Everett H Meyer
- Division of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, California.
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Spiegel JY, Dahiya S, Jain MD, Nastoupil LJ, Ghobadi A, Lin Y, Lunning MA, Reagan PM, McGuirk J, Deol A, Munoz J, Locke FL, Neelapu SS, Tamaresis JS, Rapoport A, Miklos DB, Hill BT. Outcomes in large B-cell lymphoma progressing after axicabtagene ciloleucel (Axi-cel): Results from the U.S. Lymphoma CAR-T Consortium. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.7517] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
7517 Background: Axi-cel, an anti-CD19 CART cell therapy, achieved 83% ORR, 58% CR rate, with 39% PFS at 2 years in patients (pts) with relapsed refractory large B-cell lymphoma (LBCL) on the ZUMA-1 study (Locke, Lancet Oncology 2018). Data from a 17-center consortium showed response rates were similar in 274 pts treated with commercial axi-cel (Nastoupil, ASH 2018). Here, we performed retrospective analysis of outcomes in pts with progressive disease (PD) after axi-cel. Methods: Response status was determined by Cheson 2014 and reported as date of radiologic relapse. 274 pts were infused by December 26, 2018 with maximum follow-up of 14 months; 116 pts had PD as of Feb 1, 2019. Twelve sites provided additional data, detailing 85% of PD pts (n=99) with a median time to relapse of 54 days (IQR 16-120). Results: Pre axi-cel pt characteristics: median lines of therapy were 4 (range 2-11), 86% were Stage III/IV and 22% were ECOG >1. Following relapse, 60% (n=61) were biopsied and 70% (43/61) had CD19 expression measured. Thirty percent (13/43) were CD19 negative by: IHC (3/13), flow (2/13) or both (8/13). Seventy percent (n=71) received salvage therapy for PD. Median lines of salvage therapy was 1 (range 0-4). The most common therapies were Lenalidomide-based (30%), checkpoint inhibitors (30%), chemotherapy (20%) and radiation (10%). First salvage therapy ORR by regimen: checkpoint inhibitors = 24%, lenalidomide regimens = 20% and chemotherapy = 11%. One patient received allogeneic transplant. Twelve pts enrolled on clinical trial, with one receiving 2nd CAR-T. Median OS following relapse was 108 days (95% LCL 71). Nineteen pts relapsed <3 months after axi-cel and did not receive therapy with median OS 17 days (95% CI 7-49); 33 pts relapsed <3 months and received therapy with 114 day median OS (95% LCL 82). In contrast, 30 pts who relapsed >3 months post axi-cel and received therapy had estimated median OS >220 days (95% LCL 81). Conclusions: Patients with LBCL relapsing less than 3 months following axi-cel have extremely poor outcomes supporting the development of novel therapies. Therapy for relapse >3 months appears promising. JYS and SD contributed equally; APR, DBM and BTH contributed equally.
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Affiliation(s)
| | | | - Michael D. Jain
- H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Loretta J. Nastoupil
- The University of Texas MD Anderson Cancer Center, Department of Lymphoma/Myeloma, Houston, TX
| | | | - Yi Lin
- Mayo Clinic, Rochester, MN
| | | | | | | | - Abhinav Deol
- Blood and Marrow Transplant Program, Wayne State University/Karmanos Cancer Institute, Detroit, MI
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9
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Winestone LE, Punn R, Tamaresis JS, Buckingham J, Pinsky BA, Waggoner JJ, Kharbanda S. High human herpesvirus 6 viral load in pediatric allogeneic hematopoietic stem cell transplant patients is associated with detection in end organs and high mortality. Pediatr Transplant 2018; 22:10.1111/petr.13084. [PMID: 29181879 PMCID: PMC5820136 DOI: 10.1111/petr.13084] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [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] [Accepted: 10/09/2017] [Indexed: 12/27/2022]
Abstract
Human Herpes Virus 6 (HHV-6) reactivation occurs in approximately half of patients following allogeneic hematopoietic stem cell transplant (HSCT). While encephalitis and delayed engraftment are well-documented complications of HHV-6 following HSCT, the extent to which HHV-6 viremia causes disease in children is controversial. We performed a retrospective review of HHV-6 reactivation and possible manifestations in pediatric allogeneic HSCT patients at a single institution. Of 89 children and young adults who underwent allogeneic HSCT over a three-and-a-half-year period, 34 patients reactivated HHV-6 early post-transplant. Unrelated donor stem cell source and lack of antiviral prophylaxis were risk factors for the development of HHV-6 viremia. Viremia correlated with the presence of acute graft-versus-host disease, but not chronic graft-versus-host disease. We identified two subgroups within the viremic patients-a high-risk viremic and tissue-positive group that reactivated HHV-6 and had suspected end-organ disease and a low-risk viremic but asymptomatic group that reactivated HHV-6 but did not exhibit symptoms or signs of end-organ disease. Peak viral load was found to be strongly associated with mortality. Prospective studies in larger numbers of patients are needed to further investigate the role of HHV-6 in causing symptomatic end-organ disease as well as the association of viral load with mortality.
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Affiliation(s)
- Lena E. Winestone
- Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Rajesh Punn
- Division of Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - John S. Tamaresis
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, USA
| | - Julia Buckingham
- Division of Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Benjamin A. Pinsky
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA,Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Jesse J. Waggoner
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Sandhya Kharbanda
- Division of Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
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Amanatullah DF, Tamaresis JS, Chu P, Bachmann MH, Hoang NM, Collyar D, Mayer AT, West RB, Maloney WJ, Contag CH, King BL. Local estrogen axis in the human bone microenvironment regulates estrogen receptor-positive breast cancer cells. Breast Cancer Res 2017; 19:121. [PMID: 29141657 PMCID: PMC5688761 DOI: 10.1186/s13058-017-0910-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Accepted: 10/16/2017] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Approximately 70% of all breast cancers express the estrogen receptor, and are regulated by estrogen. While the ovaries are the primary source of estrogen in premenopausal women, most breast cancer is diagnosed following menopause, when systemic levels of this hormone decline. Estrogen production from androgen precursors is catalyzed by the aromatase enzyme. Although aromatase expression and local estrogen production in breast adipose tissue have been implicated in the development of primary breast cancer, the source of estrogen involved in the regulation of estrogen receptor-positive (ER+) metastatic breast cancer progression is less clear. METHODS Bone is the most common distant site of breast cancer metastasis, particularly for ER+ breast cancers. We employed a co-culture model using trabecular bone tissues obtained from total hip replacement (THR) surgery specimens to study ER+ and estrogen receptor-negative (ER-) breast cancer cells within the human bone microenvironment. Luciferase-expressing ER+ (MCF-7, T-47D, ZR-75) and ER- (SK-BR-3, MDA-MB-231, MCF-10A) breast cancer cells were cultured directly on bone tissue fragments or in bone tissue-conditioned media, and monitored over time with bioluminescence imaging (BLI). Bone tissue-conditioned media were generated in the presence vs. absence of aromatase inhibitors, and testosterone. Bone tissue fragments were analyzed for aromatase expression by immunohistochemistry. RESULTS ER+ breast cancer cells were preferentially sustained in co-cultures with bone tissues and bone tissue-conditioned media relative to ER- cells. Bone fragments analyzed by immunohistochemistry revealed expression of the aromatase enzyme. Bone tissue-conditioned media generated in the presence of testosterone had increased estrogen levels and heightened capacity to stimulate ER+ breast cancer cell proliferation. Pretreatment of cultured bone tissues with aromatase inhibitors, which inhibited estrogen production, reduced the capacity of conditioned media to stimulate ER+ cell proliferation. CONCLUSIONS These results suggest that a local estrogen signaling axis regulates ER+ breast cancer cell viability and proliferation within the bone metastatic niche, and that aromatase inhibitors modulate this axis. Although endocrine therapies are highly effective in the treatment of ER+ breast cancer, resistance to these treatments reduces their efficacy. Characterization of estrogen signaling networks within the bone microenvironment will identify new strategies for combating metastatic progression and endocrine resistance.
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Affiliation(s)
- Derek F. Amanatullah
- Department of Orthopaedic Surgery, Stanford University School of Medicine, 450 Broadway Street, Pavilion C, 4th Floor, Redwood City, CA 94063-6342 USA
| | - John S. Tamaresis
- Department of Biomedical Data Science, Stanford University School of Medicine, Redwood Building, Room T101F (MC 5405), Stanford, CA 94305 USA
| | - Pauline Chu
- Department of Pathology, Stanford University School of Medicine, Edwards, Room 264, 1291 Welch Road, Stanford, CA 94305-5324 USA
| | - Michael H. Bachmann
- Department of Pediatrics, Stanford University School of Medicine, 150E Clark Center, 318 Campus Drive, Stanford, CA 94305-5427 USA
- Present address: Departments of Biomedical Engineering, and Microbiology & Molecular Genetics, Institute for Quantitative Health Science and Engineering, Michigan State University, 775 Woodlot Dr, East Lansing, MI 44823 USA
| | - Nhat M. Hoang
- Research IT, Stanford University School of Medicine, 3172 Porter Drive, Palo Alto, CA 94304 USA
| | - Deborah Collyar
- Patient Advocates in Research (PAIR), Danville, CA 94506 USA
| | - Aaron T. Mayer
- Department of Bioengineering, Stanford University School of Medicine, 153E Clark Center, 318 Campus Drive, Stanford, CA 94305 USA
| | - Robert B. West
- Department of Pathology, Stanford University School of Medicine, Edwards, Room 264, 1291 Welch Road, Stanford, CA 94305-5324 USA
| | - William J. Maloney
- Department of Orthopaedic Surgery, Stanford University School of Medicine, 450 Broadway Street, Pavilion C, 4th Floor, Redwood City, CA 94063-6342 USA
| | - Christopher H. Contag
- Department of Pediatrics, Stanford University School of Medicine, 150E Clark Center, 318 Campus Drive, Stanford, CA 94305-5427 USA
- Present address: Departments of Biomedical Engineering, and Microbiology & Molecular Genetics, Institute for Quantitative Health Science and Engineering, Michigan State University, 775 Woodlot Dr, East Lansing, MI 44823 USA
| | - Bonnie L. King
- Department of Pediatrics, Stanford University School of Medicine, 150E Clark Center, 318 Campus Drive, Stanford, CA 94305-5427 USA
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Abstract
AIM Children born preterm (at ≤32wks) are at risk of developing deficits in reading ability. This meta-analysis aims to determine whether or not school-aged preterm children perform worse than those born at term in single-word reading (decoding) and reading comprehension. METHOD Electronic databases were searched for studies published between 2000 and 2013, which assessed decoding or reading comprehension performance in English-speaking preterm and term-born children aged between 6 years and 13 years, and born after 1990. Standardized mean differences in decoding and reading comprehension scores were calculated. RESULTS Nine studies were suitable for analysis of decoding, and five for analysis of reading comprehension. Random-effects meta-analyses showed that children born preterm had significantly lower scores (reported as Cohen's d values [d] with 95% confidence intervals [CIs]) than those born at term for decoding (d=-0.42, 95% CI -0.57 to -0.27, p<0.001) and reading comprehension (d=-0.57, 95% CI -0.68 to -0.46, p<0.001). Meta-regressions showed that lower gestational age was associated with larger differences in decoding (Q[1]=5.92, p=0.02) and reading comprehension (Q[1]=4.69, p=0.03) between preterm and term groups. Differences between groups increased with age for reading comprehension (Q[1]=5.10, p=0.02) and, although not significant, there was also a trend for increased group differences for decoding (Q[1]=3.44, p=0.06). INTERPRETATION Preterm children perform worse than peers born at term on decoding and reading comprehension. These findings suggest that preterm children should receive more ongoing monitoring for reading difficulties throughout their education.
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Affiliation(s)
- Vanessa N Kovachy
- Department of Pediatrics, Stanford School of Medicine, Palo Alto, CA, USA
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12
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Tamaresis JS, Irwin JC, Goldfien GA, Rabban JT, Burney RO, Nezhat C, DePaolo LV, Giudice LC. Molecular classification of endometriosis and disease stage using high-dimensional genomic data. Endocrinology 2014; 155:4986-99. [PMID: 25243856 PMCID: PMC4239429 DOI: 10.1210/en.2014-1490] [Citation(s) in RCA: 100] [Impact Index Per Article: 10.0] [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: 11/19/2022]
Abstract
Endometriosis (E), an estrogen-dependent, progesterone-resistant, inflammatory disorder, affects 10% of reproductive-age women. It is diagnosed and staged at surgery, resulting in an 11-year latency from symptom onset to diagnosis, underscoring the need for less invasive, less expensive approaches. Because the uterine lining (endometrium) in women with E has altered molecular profiles, we tested whether molecular classification of this tissue can distinguish and stage disease. We developed classifiers using genomic data from n = 148 archived endometrial samples from women with E or without E (normal controls or with other common uterine/pelvic pathologies) across the menstrual cycle and evaluated their performance on independent sample sets. Classifiers were trained separately on samples in specific hormonal milieu, using margin tree classification, and accuracies were scored on independent validation samples. Classification of samples from women with E or no E involved 2 binary decisions, each based on expression of specific genes. These first distinguished presence or absence of uterine/pelvic pathology and then no E from E, with the latter further classified according to severity (minimal/mild or moderate/severe). Best performing classifiers identified E with 90%-100% accuracy, were cycle phase-specific or independent, and used relatively few genes to determine disease and severity. Differential gene expression and pathway analyses revealed immune activation, altered steroid and thyroid hormone signaling/metabolism, and growth factor signaling in endometrium of women with E. Similar findings were observed with other disorders vs controls. Thus, classifier analysis of genomic data from endometrium can detect and stage pelvic E with high accuracy, dependent or independent of hormonal milieu. We propose that limited classifier candidate genes are of high value in developing diagnostics and identifying therapeutic targets. Discovery of endometrial molecular differences in the presence of E and other uterine/pelvic pathologies raises the broader biological question of their impact on the steroid hormone response and normal functions of this tissue.
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Affiliation(s)
- John S Tamaresis
- Center for Reproductive Sciences (J.S.T., J.C.I., G.A.G., L.C.G.), Department of Obstetrics, Gynecology and Reproductive Sciences, and Department of Pathology (J.T.R.), University of California, San Francisco, California 94143; Department of Obstetrics and Gynecology and Clinical Investigation (R.O.B.), Madigan Healthcare System, Tacoma, Washington 98431; Department of Obstetrics and Gynecology (C.N.), Stanford University, Stanford, California 94024; and Fertility and Infertility Branch (L.V.D.), Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892
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13
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Chen JC, Erikson DW, Piltonen TT, Meyer MR, Barragan F, McIntire RH, Tamaresis JS, Vo KC, Giudice LC, Irwin JC. Coculturing human endometrial epithelial cells and stromal fibroblasts alters cell-specific gene expression and cytokine production. Fertil Steril 2013; 100:1132-43. [PMID: 23849844 DOI: 10.1016/j.fertnstert.2013.06.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [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: 09/26/2012] [Revised: 05/31/2013] [Accepted: 06/04/2013] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To determine the effects of coculturing endometrial epithelial cells (eEC) with paired endometrial stromal fibroblasts (eSF) on cell-specific gene expression and cytokine secretion patterns. DESIGN In vitro study. SETTING University research laboratory. PATIENT(S) Endometrial biopsies were obtained from premenopausal women. INTERVENTION(S) Polarized eEC and subject-paired eSF were cultured for 12.5 hours alone (monoculture) or combined in a two-chamber coculture system without cell-cell contact. Cells and conditioned media were analyzed for global gene expression and cytokine secretion, respectively. Purified, endometrial tissue-derived eEC and eSF isolated by fluorescent activated cell sorting (FACS) were used as noncultured controls. MAIN OUTCOME MEASURE(S) Cell-specific global gene expression profiling and analysis of secreted cytokines in eEC/eSF cocultures and respective monocultures. RESULT(S) Transepithelial resistance, diffusible tracer exclusion, expression of tight junction proteins, and apical/basolateral vectorial secretion confirmed eEC structural and functional polarization. Distinct transcriptomes of eEC and eSF were consistent with their respective lineages and their endometrial origin. Coculture of eEC with eSF resulted in altered cell-specific gene expression and cytokine secretion. CONCLUSION(S) This coculture model provides evidence that interactions between endometrial functionally polarized epithelium and stromal fibroblasts affect cell-specific gene expression and cytokine secretion underscoring their relevance when modeling endometrium in vitro.
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Affiliation(s)
- Joseph C Chen
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, Center for Reproductive Sciences, San Francisco, California
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14
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Hyman RW, St Onge RP, Kim H, Tamaresis JS, Miranda M, Aparicio AM, Fukushima M, Pourmand N, Giudice LC, Davis RW. Molecular probe technology detects bacteria without culture. BMC Microbiol 2012; 12:29. [PMID: 22404909 PMCID: PMC3316761 DOI: 10.1186/1471-2180-12-29] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [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] [Received: 09/19/2011] [Accepted: 03/09/2012] [Indexed: 01/29/2023] Open
Abstract
Background Our ultimate goal is to detect the entire human microbiome, in health and in disease, in a single reaction tube, and employing only commercially available reagents. To that end, we adapted molecular inversion probes to detect bacteria using solely a massively multiplex molecular technology. This molecular probe technology does not require growth of the bacteria in culture. Rather, the molecular probe technology requires only a sequence of forty sequential bases unique to the genome of the bacterium of interest. In this communication, we report the first results of employing our molecular probes to detect bacteria in clinical samples. Results While the assay on Affymetrix GenFlex Tag16K arrays allows the multiplexing of the detection of the bacteria in each clinical sample, one Affymetrix GenFlex Tag16K array must be used for each clinical sample. To multiplex the clinical samples, we introduce a second, independent assay for the molecular probes employing Sequencing by Oligonucleotide Ligation and Detection. By adding one unique oligonucleotide barcode for each clinical sample, we combine the samples after processing, but before sequencing, and sequence them together. Conclusions Overall, we have employed 192 molecular probes representing 40 bacteria to detect the bacteria in twenty-one vaginal swabs as assessed by the Affymetrix GenFlex Tag16K assay and fourteen of those by the Sequencing by Oligonucleotide Ligation and Detection assay. The correlations among the assays were excellent.
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Affiliation(s)
- Richard W Hyman
- Departments of Biochemistry, Stanford University, Stanford, CA, USA.
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15
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Spitzer TLB, Rojas A, Zelenko Z, Aghajanova L, Erikson DW, Barragan F, Meyer M, Tamaresis JS, Hamilton AE, Irwin JC, Giudice LC. Perivascular human endometrial mesenchymal stem cells express pathways relevant to self-renewal, lineage specification, and functional phenotype. Biol Reprod 2012; 86:58. [PMID: 22075475 DOI: 10.1095/biolreprod.111.095885] [Citation(s) in RCA: 154] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Human endometrium regenerates on a cyclic basis from candidate stem/progenitors whose genetic programs are yet to be determined. A subpopulation of endometrial stromal cells, displaying key properties of mesenchymal stem cells (MSCs), has been characterized. The endometrial MSC (eMSC) is likely the precursor of the endometrial stromal fibroblast. The goal of this study was to determine the transcriptome and signaling pathways in the eMSC to understand its functional phenotype. Endometrial stromal cells from oocyte donors (n = 20) and patients undergoing benign gynecologic surgery (n = 7) were fluorescence-activated cell sorted into MCAM (CD146)(+)/PDGFRB(+) (eMSC), MCAM (CD146)(-)/PDGFRB(+) (fibroblast), and MCAM (CD146)(+)/PDGFRB(-) (endothelial) populations. The eMSC population contained clonogenic cells with a mesenchymal phenotype differentiating into adipocytes when cultured in adipogenic medium. Gene expression profiling using Affymetrix Human Gene 1.0 ST arrays revealed 762 and 1518 significantly differentially expressed genes in eMSCs vs. stromal fibroblasts and eMSCs vs. endothelial cells, respectively. By principal component and hierarchical clustering analyses, eMSCs clustered with fibroblasts and distinctly from endothelial cells. Endometrial MSCs expressed pericyte markers and were localized by immunofluorescence to the perivascular space of endometrial small vessels. Endometrial MSCs also expressed genes involved in angiogenesis/vasculogenesis, steroid hormone/hypoxia responses, inflammation, immunomodulation, cell communication, and proteolysis/inhibition, and exhibited increased Notch, TGFB, IGF, Hedgehog, and G-protein-coupled receptor signaling pathways, characteristic of adult tissue MSC self-renewal and multipotency. Overall, the data support the eMSC as a clonogenic, multipotent pericyte that displays pathways of self-renewal and lineage specification, the potential to respond to conditions during endometrial desquamation and regeneration, and a genetic program predictive of its differentiated lineage, the stromal fibroblast.
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Affiliation(s)
- Trimble L B Spitzer
- Center for Reproductive Sciences, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, USA
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16
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Chen JC, Irwin JC, Meyer MR, McIntire RH, Zelenko Z, Tamaresis JS, Vo KC, Giudice LC. Effects of Nonoxynol-9 on Endometrial Cytokine Secretion Using an In Vitro Co-Culture System in HIV-Negative Women. Biol Reprod 2011. [DOI: 10.1093/biolreprod/85.s1.41] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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17
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Abstract
Arterial endothelial cell (EC) responsiveness to flow is essential for normal vascular function and plays a role in the development of atherosclerosis. EC flow responses may involve sensing of the mechanical stimulus at the cell surface with subsequent transmission via cytoskeleton to intracellular transduction sites. We had previously modeled flow-induced deformation of EC-surface flow sensors represented as viscoelastic materials with standard linear solid behavior (Kelvin bodies). In the present article, we extend the analysis to arbitrary networks of viscoelastic structures connected in series and/or parallel. Application of the model to a system of two Kelvin bodies in parallel reveals that flow induces an instantaneous deformation followed by creeping to the asymptotic response. The force divides equally between the two bodies when they have identical viscoelastic properties. When one body is stiffer than the other, a larger fraction of the applied force is directed to the stiffer body. We have also probed the impact of steady and oscillatory flow on simple sensor-cytoskeleton-nucleus networks. The results demonstrated that, consistent with the experimentally observed temporal chronology of EC flow responses, the flow sensor attains its peak deformation faster than intracellular structures and the nucleus deforms more rapidly than cytoskeletal elements. The results have also revealed that a 1-Hz oscillatory flow induces significantly smaller deformations than steady flow. These results may provide insight into the mechanisms behind the experimental observations that a number of EC responses induced by steady flow are not induced by oscillatory flow.
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Affiliation(s)
- Bori M Mazzag
- Department of Mechanical and Aeronautical Engineering, University of California, Davis 95616, USA
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