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Hasgul Z, Spanjaart A, Javed S, Akhavan A, Kersten MJ, Jalali MS. Health-related quality of life dynamics: modeling insights from immunotherapy. Qual Life Res 2025; 34:273-286. [PMID: 39476201 PMCID: PMC11802606 DOI: 10.1007/s11136-024-03810-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/09/2024] [Indexed: 02/07/2025]
Abstract
BACKGROUND Understanding health-related quality of life (HRQoL) dynamics is essential for assessing and improving treatment experiences; however, clinical and observational studies struggle to capture their full complexity. We use simulation modeling and the case of Chimeric Antigen Receptor T-cell therapy-a type of cancer immunotherapy that can prolong survival, but carries life-threatening risks-to study HRQoL dynamics. METHODS We developed an exploratory system dynamics model with mathematical equations and parameter values informed by literature and expert insights. We refined its feedback structure and evaluated its dynamic behavior through iterative interviews. Model simulated HRQoL from treatment approval through six months post-infusion. Two strategies-reducing the delay to infusion and enhancing social support-were incorporated into the model. To dynamically evaluate the effect of these strategies, we developed four metrics: post-treatment HRQoL decline, recovery time to pre-treatment HRQoL, post-treatment HRQoL peak, and durability of the peak. RESULTS Model captures key interactions within HRQoL, providing a nuanced analysis of its continuous temporal dynamics, particularly physical well-being, psychological well-being, tumor burden, receipt and efficacy of treatment, side effects, and their management. Model analysis shows reducing infusion delays enhanced HRQoL across all four metrics. While enhanced social support improved the first three metrics for patients who received treatment, it did not change durability of the peak. CONCLUSIONS Simulation modeling can help explore the effects of strategies on HRQoL while also demonstrating the dynamic interactions between its key components, offering a powerful tool to investigate aspects of HRQoL that are difficult to assess in real-world settings.
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Affiliation(s)
- Zeynep Hasgul
- MGH Institute for Technology Assessment, Harvard Medical School, 125 Nashua St, Boston, MA, 02114, USA
| | - Anne Spanjaart
- Department of Hematology, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- LYMMCARE (Lymphoma and Myeloma Center Amsterdam), Amsterdam, The Netherlands
| | - Sumreen Javed
- MGH Institute for Technology Assessment, Harvard Medical School, 125 Nashua St, Boston, MA, 02114, USA
| | - Ali Akhavan
- MGH Institute for Technology Assessment, Harvard Medical School, 125 Nashua St, Boston, MA, 02114, USA
| | - Marie José Kersten
- Department of Hematology, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- LYMMCARE (Lymphoma and Myeloma Center Amsterdam), Amsterdam, The Netherlands
| | - Mohammad S Jalali
- MGH Institute for Technology Assessment, Harvard Medical School, 125 Nashua St, Boston, MA, 02114, USA.
- Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
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Mahmood I. Prediction of First-in-Human Dose of Chimeric Antigen Receptor-T (CAR-T) Cells from Mice. Eur J Drug Metab Pharmacokinet 2024; 49:715-722. [PMID: 39304595 DOI: 10.1007/s13318-024-00918-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/03/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND AND OBJECTIVE: Currently, there is no available method for the prediction of first-in-human (FIH) dose for chimeric antigen receptor-T (CAR-T) cells. The objective of this work was to predict the FIH dose of CAR-T cells from different doses given to mice. METHODS In this study, six scaling methods were evaluated for the prediction of FIH dose for CAR-T cells. The methods were body weight-based fixed exponents such as 1.0 and 0.75, human equivalent dose (HED) using exponents 0.33, two modified HED methods such as using total animal dose (in place of per kg basis) and body surface area in place of body weight using total animal dose with exponent 0.33 and a physiological factor derived from physiological parameters. The FIH doses of six CAR-T cells were predicted in this study. The predicted human doses were compared with the recommended human dose by the US-FDA for four CAR-T cell products, and the literature data were used for the remaining two CAR-T cells. RESULTS The results indicated that the two modified HED methods and physiological factor are the best and reliable methods for the prediction of FIH dose for CAR-T cells. CONCLUSIONS The proposed methods are simple and accurate in their predictive power and can be used on a spreadsheet.
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Affiliation(s)
- Iftekhar Mahmood
- Mahmood Clinical Pharmacology Consultancy, LLC, 1709, Piccard DR, Rockville, MD, 20850, USA.
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Malakhova E, Pershin D, Kulakovskaya E, Vedmedskaia V, Fadeeva M, Lodoeva O, Sozonova T, Muzalevskii Y, Kazachenok A, Belchikov V, Shelikhova L, Molostova O, Volkov D, Maschan M. Extended characterization of anti-CD19 CAR T cell products manufactured at the point of care using the CliniMACS Prodigy system: comparison of donor sources and process duration. Cytotherapy 2024; 26:567-578. [PMID: 38493403 DOI: 10.1016/j.jcyt.2024.02.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 02/26/2024] [Accepted: 02/26/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND AIMS The CliniMACS Prodigy closed system is widely used for the manufacturing of chimeric antigen receptor T cells (CAR-T cells). Our study presents an extensive immunophenotypic and functional characterization and comparison of the properties of anti-CD19 CAR-T cell products obtained during long (11 days) and short (7 days) manufacturing cycles using the CliniMACS Prodigy system, as well as cell products manufactured from different donor sources of T lymphocytes: from patients, from patients who underwent HSCT, and from haploidentical donors. We also present the possibility of assessing the efficiency of transduction by an indirect method. METHODS Seventy-six CD19 CAR-T cell products were manufactured using the CliniMACS Prodigy automated system. Immunophenotypic properties, markers of cell activation and exhaustion, antitumor, anti-CD19 specific activity in vitro of the manufactured cell products were evaluated. As an indirect method for assessing the efficiency of transduction, we used the method of functional assessment of cytokine secretion and expression of the CD107a marker after incubation of CAR-T cells with tumor targets. RESULTS The CliniMACS Prodigy platform can produce a product of CD19 CAR-T cells with sufficient cell expansion (4.6 × 109 cells-median for long process [LP] and 1.6 × 109-for short process [SP]), transduction efficiency (43.5%-median for LP and 41.0%-for SP), represented mainly by T central memory cell population, with low expression of exhaustion markers, and with high specific antitumor activity in vitro. We did not find significant differences in the properties of the products obtained during the 7- and 11-day manufacturing cycles, which is in favor of reducing the duration of production to 7 days, which may accelerate CAR-T therapy. We have shown that donor sources for CAR-T manufacturing do not significantly affect the composition and functional properties of the cell product. CONCLUSIONS This study demonstrates the possibility of using the CliniMACS Prodigy system with a shortened 7-day production cycle to produce sufficient amount of functional CAR-T cells. CAR transduction efficiency can be measured indirectly via functional assays.
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Affiliation(s)
- Ekaterina Malakhova
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia.
| | - Dmitriy Pershin
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Elena Kulakovskaya
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Viktoria Vedmedskaia
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Mariia Fadeeva
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Oyuna Lodoeva
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Tatiana Sozonova
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Yakov Muzalevskii
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Alexei Kazachenok
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Vladislav Belchikov
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Larisa Shelikhova
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Olga Molostova
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
| | - Dmitry Volkov
- M.M. Shemyakin and Yu.A. Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia
| | - Michael Maschan
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology, and Immunology, Moscow, Russia
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Lu L, Xie M, Yang B, Zhao WB, Cao J. Enhancing the safety of CAR-T cell therapy: Synthetic genetic switch for spatiotemporal control. SCIENCE ADVANCES 2024; 10:eadj6251. [PMID: 38394207 PMCID: PMC10889354 DOI: 10.1126/sciadv.adj6251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 01/19/2024] [Indexed: 02/25/2024]
Abstract
Chimeric antigen receptor T (CAR-T) cell therapy is a promising and precise targeted therapy for cancer that has demonstrated notable potential in clinical applications. However, severe adverse effects limit the clinical application of this therapy and are mainly caused by uncontrollable activation of CAR-T cells, including excessive immune response activation due to unregulated CAR-T cell action time, as well as toxicity resulting from improper spatial localization. Therefore, to enhance controllability and safety, a control module for CAR-T cells is proposed. Synthetic biology based on genetic engineering techniques is being used to construct artificial cells or organisms for specific purposes. This approach has been explored in recent years as a means of achieving controllability in CAR-T cell therapy. In this review, we summarize the recent advances in synthetic biology methods used to address the major adverse effects of CAR-T cell therapy in both the temporal and spatial dimensions.
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Affiliation(s)
- Li Lu
- Institute of Pharmacology and Toxicology, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China
- Innovation Institute for Artificial Intelligence in Medicine, Zhejiang University, Hangzhou, China
| | - Mingqi Xie
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, Hangzhou, Zhejiang 310024, China
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Bo Yang
- Institute of Pharmacology and Toxicology, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China
- Innovation Institute for Artificial Intelligence in Medicine, Zhejiang University, Hangzhou, China
- School of Medicine, Hangzhou City University, Hangzhou, Zhejiang 310015, China
- Engineering Research Center of Innovative Anticancer Drugs, Ministry of Education, Hangzhou, China
| | - Wen-bin Zhao
- Innovation Institute for Artificial Intelligence in Medicine, Zhejiang University, Hangzhou, China
| | - Ji Cao
- Institute of Pharmacology and Toxicology, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China
- Innovation Institute for Artificial Intelligence in Medicine, Zhejiang University, Hangzhou, China
- Engineering Research Center of Innovative Anticancer Drugs, Ministry of Education, Hangzhou, China
- Cancer Center, Zhejiang University, Hangzhou, China
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Current and Future Perspectives for Chimeric Antigen Receptor T Cells Development in Poland. Biomedicines 2022; 10:biomedicines10112912. [PMID: 36428480 PMCID: PMC9687915 DOI: 10.3390/biomedicines10112912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/03/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022] Open
Abstract
Chimeric antigen receptor T (CAR-T) cells are genetically modified autologous T cells that have revolutionized the treatment of relapsing and refractory haematological malignancies. In this review we present molecular pathways involved in the activation of CAR-T cells, describe in details the structures of receptors and the biological activity of CAR-T cells currently approved for clinical practice in the European Union, and explain the functional differences between them. Finally, we present the potential for the development of CAR-T cells in Poland, as well as indicate the possible directions of future research in this area, including novel modifications and applications of CAR-T cells and CAR-natural killer (NK) cells.
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