1
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Jiang J, Yan Y, Yang C, Cai H. Immunogenic Cell Death and Metabolic Reprogramming in Cancer: Mechanisms, Synergies, and Innovative Therapeutic Strategies. Biomedicines 2025; 13:950. [PMID: 40299564 PMCID: PMC12024911 DOI: 10.3390/biomedicines13040950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2025] [Revised: 04/02/2025] [Accepted: 04/08/2025] [Indexed: 05/01/2025] Open
Abstract
Immunogenic cell death (ICD) is a promising cancer therapy where dying tumor cells release damage-associated molecular patterns (DAMPs) to activate immune responses. Recent research highlights the critical role of metabolic reprogramming in tumor cells, including the Warburg effect, oxidative stress, and lipid metabolism, in modulating ICD and shaping the immune microenvironment. These metabolic changes enhance immune activation, making tumors more susceptible to immune surveillance. This review explores the molecular mechanisms linking ICD and metabolism, including mitochondrial oxidative stress, endoplasmic reticulum (ER) stress, and ferroptosis. It also discusses innovative therapeutic strategies, such as personalized combination therapies, metabolic inhibitors, and targeted delivery systems, to improve ICD efficacy. The future of cancer immunotherapy lies in integrating metabolic reprogramming and immune activation to overcome tumor immune evasion, with multi-omics approaches and microbiome modulation offering new avenues for enhanced treatment outcomes.
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Affiliation(s)
| | | | - Chunhui Yang
- Department of Clinical Laboratory, The Second Hospital of Dalian Medical University, Dalian 116023, China; (J.J.); (Y.Y.)
| | - Hong Cai
- Department of Clinical Laboratory, The Second Hospital of Dalian Medical University, Dalian 116023, China; (J.J.); (Y.Y.)
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2
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Perez CR, Garmilla A, Nilsson A, Baghdassarian HM, Gordon KS, Lima LG, Smith BE, Maus MV, Lauffenburger DA, Birnbaum ME. Library-based single-cell analysis of CAR signaling reveals drivers of in vivo persistence. Cell Syst 2025:101260. [PMID: 40215972 DOI: 10.1016/j.cels.2025.101260] [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: 05/07/2024] [Revised: 10/27/2024] [Accepted: 03/17/2025] [Indexed: 04/25/2025]
Abstract
The anti-tumor function of engineered T cells expressing chimeric antigen receptors (CARs) is dependent on signals transduced through intracellular signaling domains (ICDs). Different ICDs are known to drive distinct phenotypes, but systematic investigations into how ICD architectures direct T cell function-particularly at the molecular level-are lacking. Here, we use single-cell sequencing to map diverse signaling inputs to transcriptional outputs, focusing on a defined library of clinically relevant ICD architectures. Informed by these observations, we functionally characterize transcriptionally distinct ICD variants across various contexts to build comprehensive maps from ICD composition to phenotypic output. We identify a unique tonic signaling signature associated with a subset of ICD architectures that drives durable in vivo persistence and efficacy in liquid, but not solid, tumors. Our findings work toward decoding CAR signaling design principles, with implications for the rational design of next-generation ICD architectures optimized for in vivo function.
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Affiliation(s)
- Caleb R Perez
- Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Singapore-MIT Alliance for Research and Technology Centre, Singapore, Singapore
| | - Andrea Garmilla
- Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Singapore-MIT Alliance for Research and Technology Centre, Singapore, Singapore; Program in Immunology, Harvard Medical School, Boston, MA, USA; Kranz Family Center for Cancer Research and Cellular Immunotherapy Program, Massachusetts General Hospital, Charlestown, MA, USA
| | - Avlant Nilsson
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Hratch M Baghdassarian
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Khloe S Gordon
- Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Singapore-MIT Alliance for Research and Technology Centre, Singapore, Singapore
| | - Louise G Lima
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Blake E Smith
- Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Program in Immunology, Harvard Medical School, Boston, MA, USA
| | - Marcela V Maus
- Kranz Family Center for Cancer Research and Cellular Immunotherapy Program, Massachusetts General Hospital, Charlestown, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Douglas A Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Ragon Institute of MIT, MGH and Harvard, Cambridge, MA, USA
| | - Michael E Birnbaum
- Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Singapore-MIT Alliance for Research and Technology Centre, Singapore, Singapore; Ragon Institute of MIT, MGH and Harvard, Cambridge, MA, USA.
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3
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Roex G, Gordon KS, Lion E, Birnbaum ME, Anguille S. Expanding the CAR toolbox with high throughput screening strategies for CAR domain exploration: a comprehensive review. J Immunother Cancer 2025; 13:e010658. [PMID: 40210240 PMCID: PMC11987143 DOI: 10.1136/jitc-2024-010658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2024] [Accepted: 03/06/2025] [Indexed: 04/12/2025] Open
Abstract
Chimeric antigen receptor (CAR)-T-cell therapy has been highly successful in the treatment of B-cell hematological malignancies. CARs are modular synthetic molecules that can redirect immune cells towards target cells with antibody-like specificity. Despite their modularity, CARs used in the clinic are currently composed of a limited set of domains, mostly derived from IgG, CD8α, 4-1BB, CD28 and CD3ζ. The current low throughput CAR screening workflows are labor-intensive and time-consuming, and lie at the basis of the limited toolbox of CAR building blocks available. High throughput screening methods facilitate simultaneous investigation of hundreds of thousands of CAR domain combinations, allowing discovery of novel domains and increasing our understanding of how they behave in the context of a CAR. Here we review the growing body of reports that employ these high throughput screening and computational methods to advance CAR design. We summarize and highlight the important differences between the different studies and discuss their limitations and future considerations for further improvements. In conclusion, while still in its infancy, high throughput screening of CARs has the capacity to vastly expand the CAR domain toolbox and improve our understanding of CAR design. This knowledge could be foundational for translating CAR therapy beyond hematological malignancies and push the frontiers in personalized medicine.
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Affiliation(s)
- Gils Roex
- Laboratory of Experimental Hematology, Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Wilrijk, Belgium
| | - Khloe S Gordon
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Singapore-MIT Alliance for Research and Technology Centre, Singapore
| | - Eva Lion
- Laboratory of Experimental Hematology, Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Wilrijk, Belgium
- Center for Cell Therapy and Regenerative Medicine, University Hospital Antwerp, Edegem, Belgium
| | - Michael E Birnbaum
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Singapore-MIT Alliance for Research and Technology Centre, Singapore
- Ragon Institute of Mass General MIT and Harvard, Cambridge, Massachusetts, USA
| | - Sébastien Anguille
- Laboratory of Experimental Hematology, Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Wilrijk, Belgium
- Center for Cell Therapy and Regenerative Medicine, University Hospital Antwerp, Edegem, Belgium
- Division of Hematology, University Hospital Antwerp, Edegem, Belgium
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4
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Zhang K, Wang Y, Jiang S, Li Y, Xiang P, Zhang Y, Chen Y, Chen M, Su W, Liu L, Li S. dsDAP: An efficient method for high-abundance DNA-encoded library construction in mammalian cells. Int J Biol Macromol 2025; 298:140089. [PMID: 39842606 DOI: 10.1016/j.ijbiomac.2025.140089] [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: 10/18/2024] [Revised: 01/14/2025] [Accepted: 01/17/2025] [Indexed: 01/24/2025]
Abstract
DNA-encoded libraries are invaluable tools for high-throughput screening and functional genomics studies. However, constructing high-abundance libraries in mammalian cells remains challenging. Here, we present dsDNA-assembly-PCR (dsDAP), a novel Gibson-assembly-PCR strategy for creating DNA-encoded libraries, offering improved flexibility and efficiency over previous methods. We demonstrated this approach by investigating the impact of translation initiation sequences (TIS) on protein expression in HEK293T cells. Both CRISPR-Cas9 and piggyBac systems were employed for genomic integration, allowing comparison of different integration methods. Our results confirmed the importance of specific nucleotides in the TIS region, particularly the preference for adenine at the -3 position in high-expression sequences. We also explored the effects of library dilution on genotype-phenotype correlations. This Gibson-assembly-PCR strategy overcomes limitations of existing methods, such as restriction enzyme dependencies, and provides a versatile tool for constructing high-abundance libraries in mammalian cells. Our approach has broad applications in functional genomics, drug discovery, and the study of gene regulation.
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Affiliation(s)
- Kaili Zhang
- Department of Molecular Pharmacology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Yi Wang
- Department of Molecular Pharmacology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Shuze Jiang
- Department of Molecular Pharmacology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Yifan Li
- Department of Molecular Pharmacology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Pan Xiang
- Department of Molecular Pharmacology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Yuxuan Zhang
- Department of Molecular Pharmacology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Yongzi Chen
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Min Chen
- Department of Molecular Pharmacology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Weijun Su
- School of Medicine, Nankai University, Tianjin 300071, China
| | - Liren Liu
- Department of Molecular Pharmacology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
| | - Shuai Li
- Department of Molecular Pharmacology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
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5
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Wu X, Raymond JJ, Liu Y, Odermatt AJ, Sin WX, Teo DBL, Natarajan M, Ng IC, Birnbaum ME, Lu TK, Han J, Springs SL, Yu H. Rapid Universal Detection of High-Risk and Low-Abundance Microbial Contaminations in CAR-T Cell Therapy. SMALL METHODS 2025:e2500253. [PMID: 40159755 DOI: 10.1002/smtd.202500253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2025] [Indexed: 04/02/2025]
Abstract
Live microbial contamination poses high risks to cell and gene therapies, threatening manufacturing processes and patient safety. Rapid, sensitive detection of live microbes in complex environments, such as CAR-T cell cultures, remains an urgent need. Here, an innovative sample-to-result workflow is introduced using digital loop-mediated isothermal amplification (dLAMP), enhanced by Electrostatic Microfiltration (EM)-based enrichment, for rapid sterility testing. By rationally designing primers targeting 16S and 18S rRNA, dLAMP assay enables both universal detection (covering >80% of known species) and strain-specific identification of bacterial and fungal contaminants in CAR-T cell spent medium and final products, directly from microorganism lysates. Enhanced by EM-based enrichment of low-abundance live microbes, the workflow achieves unparalleled sensitivity and speed, detecting contamination levels as low as 1 CFU/mL in complex CAR-T cell cultures within 6 h. Compared to qPCR and 14-day compendial methods, the approach demonstrates superior accuracy and significantly faster turnaround times. This workflow holds transformative potential for real-time monitoring in cell therapy manufacturing and rapid safety assessments of CAR-T cell products prior to patient infusion. Beyond cell therapy, the method is broadly applicable to infectious disease diagnostics, biomanufacturing monitoring, food safety, and environmental surveillance.
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Affiliation(s)
- Xiaolin Wu
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-CAMP), Singapore, 138602, Singapore
| | - Joshua Jebaraj Raymond
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-CAMP), Singapore, 138602, Singapore
| | - Yaoping Liu
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-CAMP), Singapore, 138602, Singapore
- AntiMicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-AMR), Singapore, 138602, Singapore
| | - Alexander Jeremias Odermatt
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-CAMP), Singapore, 138602, Singapore
- Swiss Federal Institute of Technology in Lausanne (EPFL), Lausanne, 1015, Switzerland
| | - Wei-Xiang Sin
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-CAMP), Singapore, 138602, Singapore
| | - Denise Bei Lin Teo
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-CAMP), Singapore, 138602, Singapore
| | - Meenubharathi Natarajan
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-CAMP), Singapore, 138602, Singapore
| | - Inn Chuan Ng
- Department of Physiology & the Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, 117593
| | - Michael E Birnbaum
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-CAMP), Singapore, 138602, Singapore
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA
| | - Timothy K Lu
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-CAMP), Singapore, 138602, Singapore
- AntiMicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-AMR), Singapore, 138602, Singapore
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA
| | - Jongyoon Han
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-CAMP), Singapore, 138602, Singapore
- AntiMicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-AMR), Singapore, 138602, Singapore
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA
| | - Stacy L Springs
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-CAMP), Singapore, 138602, Singapore
- Center for Biomedical Innovation, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA
| | - Hanry Yu
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre (SMART-CAMP), Singapore, 138602, Singapore
- Department of Physiology & the Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, 117593
- Mechanobiology Institute, National University of Singapore (NUS), Singapore, 117411, Singapore
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6
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Castellanos-Rueda R, Wang KLK, Forster JL, Driessen A, Frank JA, Martínez MR, Reddy ST. Dissecting the role of CAR signaling architectures on T cell activation and persistence using pooled screens and single-cell sequencing. SCIENCE ADVANCES 2025; 11:eadp4008. [PMID: 39951542 PMCID: PMC11827634 DOI: 10.1126/sciadv.adp4008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 01/10/2025] [Indexed: 02/16/2025]
Abstract
Chimeric antigen receptor (CAR) T cells offer a promising cancer treatment, yet challenges such as limited T cell persistence hinder efficacy. Given its critical role in modulating T cell responses, it is crucial to understand how the CAR signaling architecture influences T cell function. Here, we designed a combinatorial CAR signaling domain library and performed repeated antigen stimulation assays, pooled screens, and single-cell sequencing to systematically investigate the impact of modifying CAR signaling domains on T cell activation and persistence. Our data reveal the predominant influence of membrane-proximal domains in driving T cell phenotype. Notably, CD40 costimulation was crucial for fostering robust and lasting T cell responses. Furthermore, we correlated in vitro generated CAR T cell phenotypes with clinical outcomes in patients treated with CAR T therapy, establishing the foundation for a clinically informed screening approach. This work deepens our understanding of CAR T cell biology and may guide future CAR engineering efforts.
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Affiliation(s)
- Rocío Castellanos-Rueda
- Department of Biosystems Science and Engineering, ETH Zürich, 4056 Basel, Switzerland
- Life Science Zurich Graduate School, Systems Biology, ETH Zürich, University of Zurich, 8057 Zürich, Switzerland
| | - Kai-Ling K. Wang
- Department of Biosystems Science and Engineering, ETH Zürich, 4056 Basel, Switzerland
| | - Juliette L. Forster
- Department of Biosystems Science and Engineering, ETH Zürich, 4056 Basel, Switzerland
| | - Alice Driessen
- Department of Biosystems Science and Engineering, ETH Zürich, 4056 Basel, Switzerland
- IBM Research Europe, Zurich, Switzerland
| | - Jessica A. Frank
- Department of Biosystems Science and Engineering, ETH Zürich, 4056 Basel, Switzerland
| | | | - Sai T. Reddy
- Department of Biosystems Science and Engineering, ETH Zürich, 4056 Basel, Switzerland
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7
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Gordon KS, Perez CR, Garmilla A, Lam MSY, Aw JJY, Datta A, Lauffenburger DA, Pavesi A, Birnbaum ME. Pooled screening for CAR function identifies novel IL-13Rα2-targeted CARs for treatment of glioblastoma. J Immunother Cancer 2025; 13:e009574. [PMID: 39933837 PMCID: PMC11815465 DOI: 10.1136/jitc-2024-009574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 01/20/2025] [Indexed: 02/13/2025] Open
Abstract
BACKGROUND Chimeric antigen receptor (CAR) therapies have demonstrated potent efficacy in treating B-cell malignancies, but have yet to meaningfully translate to solid tumors. Nonetheless, they are of particular interest for the treatment of glioblastoma, which is an aggressive form of brain cancer with few effective therapeutic options, due to their ability to cross the highly selective blood-brain barrier. METHODS Here, we use our pooled screening platform, CARPOOL, to expedite the discovery of CARs with antitumor functions necessary for solid tumor efficacy. We performed selections in primary human T cells expressing a library of 1.3×106 third generation CARs targeting IL-13Rα2, a cancer testis antigen commonly expressed in glioblastoma. Selections were performed for cytotoxicity, proliferation, memory formation, and persistence on repeated antigen challenge. RESULTS Each enriched CAR robustly produced the phenotype for which it was selected, and one enriched CAR triggered potent cytotoxicity and long-term proliferation on in vitro tumor rechallenge. It also showed significantly improved persistence and comparable tumor control in a microphysiological human in vitro model and a xenograft model of human glioblastoma, but also demonstrated increased off-target recognition of IL-13Rα1. CONCLUSION Taken together, this work demonstrates the utility of extending CARPOOL to diseases beyond hematological malignancies and represents the largest exploration of signaling combinations in human primary cells to date.
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Affiliation(s)
- Khloe S Gordon
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Singapore-MIT Alliance for Research and Technology Centre, Singapore
| | - Caleb R Perez
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Singapore-MIT Alliance for Research and Technology Centre, Singapore
| | - Andrea Garmilla
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Program in Immunology, Harvard Medical School, Boston, Massachusetts, USA
| | - Maxine S Y Lam
- Institute of Molecular and Cell Biology, Agency for Science Technology and Research (A*STAR), Singapore
| | - Joey J Y Aw
- Institute of Molecular and Cell Biology, Agency for Science Technology and Research (A*STAR), Singapore
| | - Anisha Datta
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Douglas A Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Andrea Pavesi
- Institute of Molecular and Cell Biology, Agency for Science Technology and Research (A*STAR), Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Michael E Birnbaum
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Singapore-MIT Alliance for Research and Technology Centre, Singapore
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8
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Wang P, Wang Y, Zhao X, Zheng R, Zhang Y, Meng R, Dong H, Liang S, He X, Song Y, Su H, Yan B, Yang AG, Jia L. Chimeric antigen receptor with novel intracellular modules improves antitumor performance of T cells. Signal Transduct Target Ther 2025; 10:20. [PMID: 39809749 PMCID: PMC11733243 DOI: 10.1038/s41392-024-02096-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 12/09/2024] [Accepted: 12/11/2024] [Indexed: 01/16/2025] Open
Abstract
The excessive cytokine release and limited persistence represent major challenges for chimeric antigen receptor T (CAR-T) cell therapy in diverse tumors. Conventional CARs employ an intracellular domain (ICD) from the ζ subunit of CD3 as a signaling module, and it is largely unknown how alternative CD3 chains potentially contribute to CAR design. Here, we obtained a series of CAR-T cells against HER2 and mesothelin using a domain comprising a single immunoreceptor tyrosine-based activation motif from different CD3 subunits as the ICD of CARs. While these reconstituted CARs conferred sufficient antigen-specific cytolytic activity on equipped T cells, they elicited low tonic signal, ameliorated the exhaustion and promoted memory differentiation of these cells. Intriguingly, the CD3ε-derived ICD outperformed others in generation of CAR-T cells that produced minimized cytokines. Mechanistically, CD3ε-based CARs displayed a restrained cytomembrane expression on engineered T cells, which was ascribed to endoplasmic reticulum retention mediated by the carboxyl terminal basic residues. The present study demonstrated the applicability of CAR reconstitution using signaling modules from different CD3 subunits, and depicted a novel pattern of CAR expression that reduces cytokine release, thus paving a way for preparation of CAR-T cells displaying improved safety and persistence against diverse tumor antigens.
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Affiliation(s)
- Pengju Wang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
- Henan Key Laboratory of Immunology and Targeted Therapy, School of Medical Technology, Xinxiang Medical University, Xinxiang, Henan, China
- Department of Immunology, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Yiyi Wang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
- Henan Key Laboratory of Immunology and Targeted Therapy, School of Medical Technology, Xinxiang Medical University, Xinxiang, Henan, China
| | - Xiaojuan Zhao
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Rui Zheng
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
- Department of Immunology, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Yiting Zhang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Ruotong Meng
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Hao Dong
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
- Henan Key Laboratory of Immunology and Targeted Therapy, School of Medical Technology, Xinxiang Medical University, Xinxiang, Henan, China
| | - Sixin Liang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
- Henan Key Laboratory of Immunology and Targeted Therapy, School of Medical Technology, Xinxiang Medical University, Xinxiang, Henan, China
| | - Xinyi He
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Yang Song
- Department of Oncology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Haichuan Su
- Department of Oncology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Bo Yan
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, China.
| | - An-Gang Yang
- Henan Key Laboratory of Immunology and Targeted Therapy, School of Medical Technology, Xinxiang Medical University, Xinxiang, Henan, China.
- Department of Immunology, Fourth Military Medical University, Xi'an, Shaanxi, China.
- Department of Oncology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
| | - Lintao Jia
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, China.
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9
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Mei A, Letscher KP, Reddy S. Engineering next-generation chimeric antigen receptor-T cells: recent breakthroughs and remaining challenges in design and screening of novel chimeric antigen receptor variants. Curr Opin Biotechnol 2024; 90:103223. [PMID: 39504625 DOI: 10.1016/j.copbio.2024.103223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 09/24/2024] [Accepted: 10/08/2024] [Indexed: 11/08/2024]
Abstract
Chimeric antigen receptor (CAR) T cells are a powerful treatment against hematologic cancers. The functional phenotype of a CAR-T cell is influenced by the domains that comprise the synthetic receptor. Typically, the potency of therapeutic CAR-T cell candidates is assessed by preclinical functional assays and mouse models (i.e. human tumor xenografts). However, to date, only a few sets of domains (e.g. CD8, CD28, 41BB) have been extensively tested in preclinical assays and human clinical studies. To characterize the efficiency of a CAR, different assays have been utilized to analyze T cell phenotypes, such as expansion, cytotoxicity, secretome, and persistence. However, each of these previous studies evaluated the importance of an assay differently, resulting in a wide range of functionally diverse CARs. In this review, we highlight recent (high-throughput) methods to analyze CAR domains and demonstrate their impact on inducing T cell phenotypes and activity. We also describe advances in computational methods and their potential for identifying CAR variants with enhanced properties. Finally, we reflect on the need for a standardized scoring system to support the clinical development of next-generation CARs.
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Affiliation(s)
- Anna Mei
- Department of Biosystems Science and Engineering, ETH Zürich, 4056 Basel, Switzerland; Life Science Zurich Graduate School, ETH Zürich, University of Zurich, 8057 Zürich, Switzerland
| | - Kevin P Letscher
- Department of Biosystems Science and Engineering, ETH Zürich, 4056 Basel, Switzerland
| | - Sai Reddy
- Department of Biosystems Science and Engineering, ETH Zürich, 4056 Basel, Switzerland.
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10
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Sin WX, Jagannathan NS, Teo DBL, Kairi F, Fong SY, Tan JHL, Sandikin D, Cheung KW, Luah YH, Wu X, Raymond JJ, Lim FLWI, Lee YH, Seng MSF, Soh SY, Chen Q, Ram RJ, Tucker-Kellogg L, Birnbaum ME. A high-density microfluidic bioreactor for the automated manufacturing of CAR T cells. Nat Biomed Eng 2024; 8:1571-1591. [PMID: 38834752 DOI: 10.1038/s41551-024-01219-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 04/20/2024] [Indexed: 06/06/2024]
Abstract
The manufacturing of autologous chimaeric antigen receptor (CAR) T cells largely relies either on fed-batch and manual processes that often lack environmental monitoring and control or on bioreactors that cannot be easily scaled out to meet patient demands. Here we show that human primary T cells can be activated, transduced and expanded to high densities in a 2 ml automated closed-system microfluidic bioreactor to produce viable anti-CD19 CAR T cells (specifically, more than 60 million CAR T cells from donor cells derived from patients with lymphoma and more than 200 million CAR T cells from healthy donors). The in vitro secretion of cytokines, the short-term cytotoxic activity and the long-term persistence and proliferation of the cell products, as well as their in vivo anti-leukaemic activity, were comparable to those of T cells produced in a gas-permeable well. The manufacturing-process intensification enabled by the miniaturized perfusable bioreactor may facilitate the analysis of the growth and metabolic states of CAR T cells during ex vivo culture, the high-throughput optimization of cell-manufacturing processes and the scale out of cell-therapy manufacturing.
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Affiliation(s)
- Wei-Xiang Sin
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore
| | - N Suhas Jagannathan
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore
- Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore
| | - Denise Bei Lin Teo
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore
| | - Faris Kairi
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore
| | - Shin Yie Fong
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Joel Heng Loong Tan
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Dedy Sandikin
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore
| | - Ka-Wai Cheung
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore
| | - Yen Hoon Luah
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore
| | - Xiaolin Wu
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore
| | - Joshua Jebaraj Raymond
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore
| | - Francesca Lorraine Wei Inng Lim
- Advanced Cell Therapy and Research Institute, Singapore (ACTRIS), Consortium for Clinical Research and Innovation, Singapore (CRIS), Singapore, Singapore
- Department of Haematology, Singapore General Hospital, Singapore, Singapore
- SingHealth Duke-NUS Oncology Academic Clinical Programme, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
- SingHealth Duke-NUS Cell Therapy Centre, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
| | - Yie Hou Lee
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore
- SingHealth Duke-NUS Cell Therapy Centre, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
| | - Michaela Su-Fern Seng
- SingHealth Duke-NUS Oncology Academic Clinical Programme, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
- SingHealth Duke-NUS Cell Therapy Centre, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
- Department of Paediatric Haematology and Oncology, KK Women's and Children's Hospital, Singapore, Singapore
| | - Shui Yen Soh
- SingHealth Duke-NUS Oncology Academic Clinical Programme, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
- SingHealth Duke-NUS Cell Therapy Centre, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
- Department of Paediatric Haematology and Oncology, KK Women's and Children's Hospital, Singapore, Singapore
| | - Qingfeng Chen
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Rajeev J Ram
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore.
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Lisa Tucker-Kellogg
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore.
- Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore.
| | - Michael E Birnbaum
- Critical Analytics for Manufacturing Personalized-Medicine (CAMP), Singapore-MIT Alliance for Research and Technology Centre (SMART), Singapore, Singapore.
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Koch Institute for Integrative Cancer Research at MIT, Cambridge, MA, USA.
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA.
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11
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Butler SE, Ackerman ME. Challenges and future perspectives for high-throughput chimeric antigen receptor T cell discovery. Curr Opin Biotechnol 2024; 90:103216. [PMID: 39437676 PMCID: PMC11627592 DOI: 10.1016/j.copbio.2024.103216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 08/09/2024] [Accepted: 09/23/2024] [Indexed: 10/25/2024]
Abstract
Novel chimeric antigen receptor (CAR) T cell designs are being developed to overcome challenges with tumor recognition, trafficking, on-target but off-tumor binding, cytotoxicity, persistence, and immune suppression within the tumor microenvironment. Whereas traditional CAR engineering is an iterative, hypothesis-driven process in which novel designs are rationally constructed and tested for in vivo efficacy, drawing from the fields of small-molecule and protein-based therapeutic discovery, we consider how high-throughput, functional screening technologies are beginning to be applied for the development of promising CAR candidates. We review how the development of high-throughput screening methods has the potential to streamline the CAR discovery process, ultimately improving efficiency and clinical efficacy.
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Affiliation(s)
- Savannah E Butler
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Margaret E Ackerman
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA; Thayer School of Engineering, Dartmouth College, Hanover, NH, USA.
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12
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Zhang Y, Xu Q, Gao Z, Zhang H, Xie X, Li M. High-throughput screening for optimizing adoptive T cell therapies. Exp Hematol Oncol 2024; 13:113. [PMID: 39538305 PMCID: PMC11562648 DOI: 10.1186/s40164-024-00580-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 11/04/2024] [Indexed: 11/16/2024] Open
Abstract
Adoptive T cell therapy is a pivotal strategy in cancer immunotherapy, demonstrating potent clinical efficacy. However, its limited durability often results in primary resistance. High-throughput screening technologies, which include both genetic and non-genetic approaches, facilitate the optimization of adoptive T cell therapies by enabling the selection of biologically significant targets or substances from extensive libraries. In this review, we examine advancements in high-throughput screening technologies and their applications in adoptive T cell therapies. We highlight the use of genetic screening for T cells, tumor cells, and other promising combination strategies, and elucidate the role of non-genetic screening in identifying small molecules and targeted delivery systems relevant to adoptive T cell therapies, providing guidance for future research and clinical applications.
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Affiliation(s)
- Yuchen Zhang
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China
| | - Qinglong Xu
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China
| | - Zhifei Gao
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China
| | - Honghao Zhang
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China
| | - Xiaoling Xie
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China.
| | - Meifang Li
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China.
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13
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Martire S, Wang X, McElvain M, Suryawanshi V, Gill T, DiAndreth B, Lee W, Riley TP, Xu H, Netirojjanakul C, Kamb A. High-throughput screen to identify and optimize NOT gate receptors for cell therapy. Cytometry A 2024; 105:741-751. [PMID: 39152710 DOI: 10.1002/cyto.a.24893] [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: 05/06/2024] [Revised: 07/04/2024] [Accepted: 07/26/2024] [Indexed: 08/19/2024]
Abstract
Logic-gated engineered cells are an emerging therapeutic modality that can take advantage of molecular profiles to focus medical interventions on specific tissues in the body. However, the increased complexity of these engineered systems may pose a challenge for prediction and optimization of their behavior. Here we describe the design and testing of a flow cytometry-based screening system to rapidly select functional inhibitory receptors from a pooled library of candidate constructs. In proof-of-concept experiments, this approach identifies inhibitory receptors that can operate as NOT gates when paired with activating receptors. The method may be used to generate large datasets to train machine learning models to better predict and optimize the function of logic-gated cell therapeutics.
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Affiliation(s)
- S Martire
- A2 Biotherapeutics, Agoura Hills, California, USA
| | - X Wang
- A2 Biotherapeutics, Agoura Hills, California, USA
| | - M McElvain
- A2 Biotherapeutics, Agoura Hills, California, USA
| | | | - T Gill
- A2 Biotherapeutics, Agoura Hills, California, USA
| | - B DiAndreth
- A2 Biotherapeutics, Agoura Hills, California, USA
| | - W Lee
- A2 Biotherapeutics, Agoura Hills, California, USA
| | - T P Riley
- A2 Biotherapeutics, Agoura Hills, California, USA
| | - H Xu
- Port Therapeutics, Los Angeles, California, USA
| | | | - A Kamb
- A2 Biotherapeutics, Agoura Hills, California, USA
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14
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Grzywa T, Mehta N, Cossette B, Romanov A, Paruzzo L, Ramasubramanian R, Cozzone A, Morgan D, Sukaj I, Bergaggio E, Tannir R, Kadauke S, Myers R, Yousefpour P, Ghilardi G, Schuster S, Neeser A, Frey N, Goncalves B, Zhang L, Abraham W, Suh H, Ruella M, Grupp S, Chiarle R, Wittrup KD, Ma L, Irvine DJ. Directed evolution-based discovery of ligands for in vivo restimulation of CAR-T cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 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] [Abstract] [Grants] [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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15
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Martin KE, Hammer Q, Perica K, Sadelain M, Malmberg KJ. Engineering immune-evasive allogeneic cellular immunotherapies. Nat Rev Immunol 2024; 24:680-693. [PMID: 38658708 DOI: 10.1038/s41577-024-01022-8] [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: 03/05/2024] [Indexed: 04/26/2024]
Abstract
Allogeneic cellular immunotherapies hold a great promise for cancer treatment owing to their potential cost-effectiveness, scalability and on-demand availability. However, immune rejection of adoptively transferred allogeneic T and natural killer (NK) cells is a substantial obstacle to achieving clinical responses that are comparable to responses obtained with current autologous chimeric antigen receptor T cell therapies. In this Perspective, we discuss strategies to confer cell-intrinsic, immune-evasive properties to allogeneic T cells and NK cells in order to prevent or delay their immune rejection, thereby widening the therapeutic window. We discuss how common viral and cancer immune escape mechanisms can serve as a blueprint for improving the persistence of off-the-shelf allogeneic cell therapies. The prospects of harnessing genome editing and synthetic biology to design cell-based precision immunotherapies extend beyond programming target specificities and require careful consideration of innate and adaptive responses in the recipient that may curtail the biodistribution, in vivo expansion and persistence of cellular therapeutics.
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Affiliation(s)
- Karen E Martin
- Precision Immunotherapy Alliance, The University of Oslo, Oslo, Norway
- Department of Cancer Immunology, Institute for Cancer Research Oslo, Oslo University Hospital, Oslo, Norway
| | - Quirin Hammer
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Karlo Perica
- Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Cell Therapy Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michel Sadelain
- Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Karl-Johan Malmberg
- Precision Immunotherapy Alliance, The University of Oslo, Oslo, Norway.
- Department of Cancer Immunology, Institute for Cancer Research Oslo, Oslo University Hospital, Oslo, Norway.
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
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16
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Letscher KP, Reddy ST. Multidimensional analysis reveals predictive markers for CAR-T efficacy. NATURE CANCER 2024; 5:960-961. [PMID: 38902399 DOI: 10.1038/s43018-024-00785-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Affiliation(s)
- Kevin P Letscher
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Sai T Reddy
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
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17
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Zhou Z, Wang J, Wang J, Yang S, Wang R, Zhang G, Li Z, Shi R, Wang Z, Lu Q. Deciphering the tumor immune microenvironment from a multidimensional omics perspective: insight into next-generation CAR-T cell immunotherapy and beyond. Mol Cancer 2024; 23:131. [PMID: 38918817 PMCID: PMC11201788 DOI: 10.1186/s12943-024-02047-2] [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: 03/25/2024] [Accepted: 06/17/2024] [Indexed: 06/27/2024] Open
Abstract
Tumor immune microenvironment (TIME) consists of intra-tumor immunological components and plays a significant role in tumor initiation, progression, metastasis, and response to therapy. Chimeric antigen receptor (CAR)-T cell immunotherapy has revolutionized the cancer treatment paradigm. Although CAR-T cell immunotherapy has emerged as a successful treatment for hematologic malignancies, it remains a conundrum for solid tumors. The heterogeneity of TIME is responsible for poor outcomes in CAR-T cell immunotherapy against solid tumors. The advancement of highly sophisticated technology enhances our exploration in TIME from a multi-omics perspective. In the era of machine learning, multi-omics studies could reveal the characteristics of TIME and its immune resistance mechanism. Therefore, the clinical efficacy of CAR-T cell immunotherapy in solid tumors could be further improved with strategies that target unfavorable conditions in TIME. Herein, this review seeks to investigate the factors influencing TIME formation and propose strategies for improving the effectiveness of CAR-T cell immunotherapy through a multi-omics perspective, with the ultimate goal of developing personalized therapeutic approaches.
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Affiliation(s)
- Zhaokai Zhou
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
- Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Jiahui Wang
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
- Department of Nephrology, Union Medical College Hospital, Chinese Academy of Medical Sciences, PekingBeijing, 100730, China
| | - Jiaojiao Wang
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Shuai Yang
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
- Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Ruizhi Wang
- Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Ge Zhang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Zhengrui Li
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Run Shi
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhan Wang
- Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Qiong Lu
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
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18
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Gascoigne NRJ. TCR-like antibody and GITR signaling lead to effective CAR-T against solid tumor. Mol Ther 2024; 32:569-571. [PMID: 38382528 PMCID: PMC10928281 DOI: 10.1016/j.ymthe.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 02/07/2024] [Accepted: 02/08/2024] [Indexed: 02/23/2024] Open
Affiliation(s)
- Nicholas R J Gascoigne
- Immunology Translational Research Programme and Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore.
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19
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Jeffreys N, Brockman JM, Zhai Y, Ingber DE, Mooney DJ. Mechanical forces amplify TCR mechanotransduction in T cell activation and function. APPLIED PHYSICS REVIEWS 2024; 11:011304. [PMID: 38434676 PMCID: PMC10848667 DOI: 10.1063/5.0166848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/08/2023] [Indexed: 03/05/2024]
Abstract
Adoptive T cell immunotherapies, including engineered T cell receptor (eTCR) and chimeric antigen receptor (CAR) T cell immunotherapies, have shown efficacy in treating a subset of hematologic malignancies, exhibit promise in solid tumors, and have many other potential applications, such as in fibrosis, autoimmunity, and regenerative medicine. While immunoengineering has focused on designing biomaterials to present biochemical cues to manipulate T cells ex vivo and in vivo, mechanical cues that regulate their biology have been largely underappreciated. This review highlights the contributions of mechanical force to several receptor-ligand interactions critical to T cell function, with central focus on the TCR-peptide-loaded major histocompatibility complex (pMHC). We then emphasize the role of mechanical forces in (i) allosteric strengthening of the TCR-pMHC interaction in amplifying ligand discrimination during T cell antigen recognition prior to activation and (ii) T cell interactions with the extracellular matrix. We then describe approaches to design eTCRs, CARs, and biomaterials to exploit TCR mechanosensitivity in order to potentiate T cell manufacturing and function in adoptive T cell immunotherapy.
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Affiliation(s)
| | | | - Yunhao Zhai
- Wyss Institute for Biologically Inspired Engineering, Boston, Massachusetts 02115, USA
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20
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Teng F, Cui T, Zhou L, Gao Q, Zhou Q, Li W. Programmable synthetic receptors: the next-generation of cell and gene therapies. Signal Transduct Target Ther 2024; 9:7. [PMID: 38167329 PMCID: PMC10761793 DOI: 10.1038/s41392-023-01680-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/22/2023] [Accepted: 10/11/2023] [Indexed: 01/05/2024] Open
Abstract
Cell and gene therapies hold tremendous promise for treating a range of difficult-to-treat diseases. However, concerns over the safety and efficacy require to be further addressed in order to realize their full potential. Synthetic receptors, a synthetic biology tool that can precisely control the function of therapeutic cells and genetic modules, have been rapidly developed and applied as a powerful solution. Delicately designed and engineered, they can be applied to finetune the therapeutic activities, i.e., to regulate production of dosed, bioactive payloads by sensing and processing user-defined signals or biomarkers. This review provides an overview of diverse synthetic receptor systems being used to reprogram therapeutic cells and their wide applications in biomedical research. With a special focus on four synthetic receptor systems at the forefront, including chimeric antigen receptors (CARs) and synthetic Notch (synNotch) receptors, we address the generalized strategies to design, construct and improve synthetic receptors. Meanwhile, we also highlight the expanding landscape of therapeutic applications of the synthetic receptor systems as well as current challenges in their clinical translation.
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Affiliation(s)
- Fei Teng
- University of Chinese Academy of Sciences, Beijing, 101408, China.
| | - Tongtong Cui
- State Key Laboratory of Stem Cell and Regenerative Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
| | - Li Zhou
- University of Chinese Academy of Sciences, Beijing, 101408, China
- State Key Laboratory of Stem Cell and Regenerative Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
| | - Qingqin Gao
- University of Chinese Academy of Sciences, Beijing, 101408, China
- State Key Laboratory of Stem Cell and Regenerative Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
| | - Qi Zhou
- University of Chinese Academy of Sciences, Beijing, 101408, China.
- State Key Laboratory of Stem Cell and Regenerative Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Wei Li
- University of Chinese Academy of Sciences, Beijing, 101408, China.
- State Key Laboratory of Stem Cell and Regenerative Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
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21
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Eskandari SK, Daccache A, Azzi JR. Chimeric antigen receptor T reg therapy in transplantation. Trends Immunol 2024; 45:48-61. [PMID: 38123369 DOI: 10.1016/j.it.2023.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 11/23/2023] [Accepted: 11/24/2023] [Indexed: 12/23/2023]
Abstract
In the quest for more precise and effective organ transplantation therapies, chimeric antigen receptor (CAR) regulatory T cell (Treg) therapies represent a potential cutting-edge advance. This review comprehensively analyses CAR Tregs and how they may address important drawbacks of polyclonal Tregs and conventional immunosuppressants. We examine a growing body of preclinical findings of CAR Treg therapy in transplantation, discuss CAR Treg design specifics, and explore established and attractive new targets in transplantation. In addition, we explore present impediments where future studies will be necessary to determine the efficacy of CAR Tregs in reshaping alloimmune responses and transplant microenvironments to reduce reliance on chemical immunosuppressants. Overall, ongoing studies and trials are crucial for understanding the full scope of CAR Treg therapy in transplantation.
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Affiliation(s)
- Siawosh K Eskandari
- Transplantation Research Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
| | - Andrea Daccache
- Transplantation Research Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Bioscience Education and Research (UFR Biosciences), Claude Bernard University Lyon 1, Lyon, France
| | - Jamil R Azzi
- Transplantation Research Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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22
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Capponi S, Daniels KG. Harnessing the power of artificial intelligence to advance cell therapy. Immunol Rev 2023; 320:147-165. [PMID: 37415280 DOI: 10.1111/imr.13236] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 06/17/2023] [Indexed: 07/08/2023]
Abstract
Cell therapies are powerful technologies in which human cells are reprogrammed for therapeutic applications such as killing cancer cells or replacing defective cells. The technologies underlying cell therapies are increasing in effectiveness and complexity, making rational engineering of cell therapies more difficult. Creating the next generation of cell therapies will require improved experimental approaches and predictive models. Artificial intelligence (AI) and machine learning (ML) methods have revolutionized several fields in biology including genome annotation, protein structure prediction, and enzyme design. In this review, we discuss the potential of combining experimental library screens and AI to build predictive models for the development of modular cell therapy technologies. Advances in DNA synthesis and high-throughput screening techniques enable the construction and screening of libraries of modular cell therapy constructs. AI and ML models trained on this screening data can accelerate the development of cell therapies by generating predictive models, design rules, and improved designs.
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Affiliation(s)
- Sara Capponi
- Department of Functional Genomics and Cellular Engineering, IBM Almaden Research Center, San Jose, California, USA
- Center for Cellular Construction, San Francisco, California, USA
| | - Kyle G Daniels
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
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23
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Rios X, Pardias O, Morales MA, Bhattacharya P, Chen Y, Guo L, Zhang C, Di Pierro EJ, Tian G, Barragan GA, Sumazin P, Metelitsa LS. Refining chimeric antigen receptors via barcoded protein domain combination pooled screening. Mol Ther 2023; 31:3210-3224. [PMID: 37705245 PMCID: PMC10638030 DOI: 10.1016/j.ymthe.2023.09.008] [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: 02/16/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 09/15/2023] Open
Abstract
Chimeric antigen receptor (CAR)-T cells represent a promising frontier in cancer immunotherapy. However, the current process for developing new CAR constructs is time consuming and inefficient. To address this challenge and expedite the evaluation and comparison of full-length CAR designs, we have devised a novel cloning strategy. This strategy involves the sequential assembly of individual CAR domains using blunt ligation, with each domain being assigned a unique DNA barcode. Applying this method, we successfully generated 360 CAR constructs that specifically target clinically validated tumor antigens CD19 and GD2. By quantifying changes in barcode frequencies through next-generation sequencing, we characterize CARs that best mediate proliferation and expansion of transduced T cells. The screening revealed a crucial role for the hinge domain in CAR functionality, with CD8a and IgG4 hinges having opposite effects in the surface expression, cytokine production, and antitumor activity in CD19- versus GD2-based CARs. Importantly, we discovered two novel CD19-CAR architectures containing the IgG4 hinge domain that mediate superior in vivo antitumor activity compared with the construct used in Kymriah, a U.S. Food and Drug Administration (FDA)-approved therapy. This novel screening approach represents a major advance in CAR engineering, enabling accelerated development of cell-based cancer immunotherapies.
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Affiliation(s)
- Xavier Rios
- Center for Advanced Innate Cell Therapy, Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA; Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA
| | - Osmay Pardias
- Center for Advanced Innate Cell Therapy, Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Marc A Morales
- Center for Advanced Innate Cell Therapy, Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Pradyot Bhattacharya
- Center for Advanced Innate Cell Therapy, Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Yibin Chen
- Center for Advanced Innate Cell Therapy, Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Linjie Guo
- Center for Advanced Innate Cell Therapy, Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Chunchao Zhang
- Center for Advanced Innate Cell Therapy, Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Erica J Di Pierro
- Center for Advanced Innate Cell Therapy, Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Gengwen Tian
- Center for Advanced Innate Cell Therapy, Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA; Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA
| | - Gabriel A Barragan
- Center for Advanced Innate Cell Therapy, Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA; Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA
| | - Pavel Sumazin
- Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Leonid S Metelitsa
- Center for Advanced Innate Cell Therapy, Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA; Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA; Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, USA.
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24
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Wu T, Tan JHL, Sin W, Luah YH, Tan SY, Goh M, Birnbaum ME, Chen Q, Cheow LF. Cell Granularity Reflects Immune Cell Function and Enables Selection of Lymphocytes with Superior Attributes for Immunotherapy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2302175. [PMID: 37544893 PMCID: PMC10558660 DOI: 10.1002/advs.202302175] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/20/2023] [Indexed: 08/08/2023]
Abstract
In keeping with the rule of "form follows function", morphological aspects of a cell can reflect its role. Here, it is shown that the cellular granularity of a lymphocyte, represented by its intrinsic side scatter (SSC), is a potent indicator of its cell state and function. The granularity of a lymphocyte increases from naïve to terminal effector state. High-throughput cell-sorting yields a SSChigh population that can mediate immediate effector functions, and a highly prolific SSClow population that can give rise to the replenishment of the memory pool. CAR-T cells derived from the younger SSClow population possess desirable attributes for immunotherapy, manifested by increased naïve-like cells and stem cell memory (TSCM )-like cells together with a balanced CD4/CD8 ratio, as well as enhanced target-killing in vitro and in vivo. Altogether, lymphocyte segregation based on biophysical properties is an effective approach for label-free selection of cells that share collective functions and can have important applications for cell-based immunotherapies.
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Affiliation(s)
- Tongjin Wu
- Department of Biomedical EngineeringFaculty of EngineeringNational University of SingaporeSingapore117583Singapore
- Institute for Health Innovation and TechnologyNational University of SingaporeSingapore117599Singapore
| | - Joel Heng Loong Tan
- Institute of Molecular and Cell Biology (IMCB)Agency for ScienceTechnology and Research (A*STAR)Singapore138673Singapore
| | - Wei‐Xiang Sin
- Critical Analytics for Manufacturing of Personalized MedicineSingapore‐MIT Alliance for Research and TechnologySingapore138602Singapore
| | - Yen Hoon Luah
- Department of Biomedical EngineeringFaculty of EngineeringNational University of SingaporeSingapore117583Singapore
- Institute for Health Innovation and TechnologyNational University of SingaporeSingapore117599Singapore
- Critical Analytics for Manufacturing of Personalized MedicineSingapore‐MIT Alliance for Research and TechnologySingapore138602Singapore
| | - Sue Yee Tan
- Institute of Molecular and Cell Biology (IMCB)Agency for ScienceTechnology and Research (A*STAR)Singapore138673Singapore
| | - Myra Goh
- Institute of Molecular and Cell Biology (IMCB)Agency for ScienceTechnology and Research (A*STAR)Singapore138673Singapore
| | - Michael E. Birnbaum
- Critical Analytics for Manufacturing of Personalized MedicineSingapore‐MIT Alliance for Research and TechnologySingapore138602Singapore
- Department of Biological EngineeringMassachusetts Institute of TechnologyCambridgeMA02139USA
| | - Qingfeng Chen
- Institute of Molecular and Cell Biology (IMCB)Agency for ScienceTechnology and Research (A*STAR)Singapore138673Singapore
| | - Lih Feng Cheow
- Department of Biomedical EngineeringFaculty of EngineeringNational University of SingaporeSingapore117583Singapore
- Institute for Health Innovation and TechnologyNational University of SingaporeSingapore117599Singapore
- Critical Analytics for Manufacturing of Personalized MedicineSingapore‐MIT Alliance for Research and TechnologySingapore138602Singapore
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25
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Smith R. Bringing cell therapy to tumors: considerations for optimal CAR binder design. Antib Ther 2023; 6:225-239. [PMID: 37846297 PMCID: PMC10576856 DOI: 10.1093/abt/tbad019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2023] Open
Abstract
Chimeric antigen receptor (CAR)-T cells have revolutionized the immunotherapy of B-cell malignancies and are poised to expand the range of their impact across a broad range of oncology and non-oncology indications. Critical to the success of a given CAR is the choice of binding domain, as this is the key driver for specificity and plays an important role (along with the rest of the CAR structure) in determining efficacy, potency and durability of the cell therapy. While antibodies have proven to be effective sources of CAR binding domains, it has become apparent that the desired attributes for a CAR binding domain do differ from those of a recombinant antibody. This review will address key factors that need to be considered in choosing the optimal binding domain for a given CAR and how binder properties influence and are influenced by the rest of the CAR.
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Affiliation(s)
- Richard Smith
- Department of Research, Kite, a Gilead Company, 5858 Horton Street, Suite 240, Emeryville, CA 94070, USA
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26
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Klee CH, Villatoro A, Casey NP, Inderberg EM, Wälchli S. In vitro re-challenge of CAR T cells. Methods Cell Biol 2023; 183:335-353. [PMID: 38548418 DOI: 10.1016/bs.mcb.2023.06.003] [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] [Indexed: 04/02/2024]
Abstract
Chimeric antigen receptor (CAR) T cells (CAR T) have emerged as a potential therapy for cancer patients. CAR T cells are capable of recognizing membrane proteins on cancer cells which initiates a downstream signaling in T cells that ends in cancer cell death. Continuous antigen exposure over time, activation of inhibitory signaling pathways and/or chronic inflammation can lead to CAR T cell exhaustion. In this context, the design of CARs can have a great impact on the functionality of CAR T cells, on their potency and exhaustion. Here, using CD19CAR as model, we provide a re-challenge protocol where CAR T cells are cultured weekly with malignant lymphoid cell lines BL-41 and Nalm-6 to simulate them with continuous antigen pressure over a four-week period. This protocol can be value for assessing CAR T cell functionality and for the comparison of different CAR constructs.
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Affiliation(s)
- Clara Helena Klee
- Translational Research Unit, Section of Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Alicia Villatoro
- Translational Research Unit, Section of Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Nicholas Paul Casey
- Translational Research Unit, Section of Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Else Marit Inderberg
- Translational Research Unit, Section of Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Sébastien Wälchli
- Translational Research Unit, Section of Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway.
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27
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Bednar C, Kübel S, Cordsmeier A, Scholz B, Menschikowski H, Ensser A. A Genetically Encoded Dark-to-Bright Biosensor for Visualisation of Granzyme-Mediated Cytotoxicity. Int J Mol Sci 2023; 24:13589. [PMID: 37686395 PMCID: PMC10487497 DOI: 10.3390/ijms241713589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 08/30/2023] [Accepted: 08/31/2023] [Indexed: 09/10/2023] Open
Abstract
Granzyme B (GZMB) is a key enzyme released by cytotoxic T lymphocytes (CTL) and natural killer (NK) cells to induce apoptosis in target cells. We designed a novel fluorogenic biosensor which is able to assess GZMB activity in a specific and sensitive manner. This cleavage-responsive sensor for T cell activity level (CRSTAL) is based on a fluorescent protein that is only activated upon cleavage by GZMB or caspase-8. CRSTAL was tested in stable cell lines and demonstrated a strong and long-lasting fluorescence signal upon induction with GZMB. It can detect GZMB activity not only by overexpression of GZMB in target cells but also following transfer of GZMB and perforin from effector cells during cytotoxicity. This feature has significant implications for cancer immunotherapy, particularly in monitoring the efficacy of chimeric antigen receptor (CAR)-T cells. CAR-T cells are a promising therapy option for various cancer types, but monitoring their activity in vivo is challenging. The development of biosensors like CRSTAL provides a valuable tool for monitoring of CAR-T cell activity. In summary, CRSTAL is a highly sensitive biosensor that can detect GZMB activity in target cells, providing a means for evaluating the cytotoxic activity of immune cells and monitoring T cell activity in real time.
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Affiliation(s)
| | | | | | | | | | - Armin Ensser
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany; (C.B.); (S.K.); (A.C.); (B.S.); (H.M.)
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28
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Neeser A, Ramasubramanian R, Wang C, Ma L. Engineering enhanced chimeric antigen receptor-T cell therapy for solid tumors. IMMUNO-ONCOLOGY TECHNOLOGY 2023; 19:100385. [PMID: 37483659 PMCID: PMC10362352 DOI: 10.1016/j.iotech.2023.100385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
The early clinical success and subsequent US Food and Drug Administration approval of chimeric antigen receptor (CAR)-T cell therapy for leukemia and lymphoma affirm that engineered T cells can be a powerful treatment for hematologic malignancies. Yet this success has not been replicated in solid tumors. Numerous challenges emerged from clinical experience and well-controlled preclinical animal models must be met to enable safe and efficacious CAR-T cell therapy in solid tumors. Here, we review recent advances in bioengineering strategies developed to enhance CAR-T cell therapy in solid tumors, focusing on targeted single-gene perturbation, genetic circuits design, cytokine engineering, and interactive biomaterials. These bioengineering approaches present a unique set of tools that synergize with CAR-T cells to overcome obstacles in solid tumors and achieve robust and long-lasting therapeutic efficacy.
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Affiliation(s)
- A. Neeser
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia
| | - R. Ramasubramanian
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia
| | - C. Wang
- The Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children’s Hospital of Philadelphia, Philadelphia
| | - L. Ma
- The Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children’s Hospital of Philadelphia, Philadelphia
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
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29
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Zhu I, Piraner DI, Roybal KT. Synthesizing a Smarter CAR T Cell: Advanced Engineering of T-cell Immunotherapies. Cancer Immunol Res 2023; 11:1030-1043. [PMID: 37429007 PMCID: PMC10527511 DOI: 10.1158/2326-6066.cir-22-0962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 03/15/2023] [Accepted: 06/02/2023] [Indexed: 07/12/2023]
Abstract
The immune system includes an array of specialized cells that keep us healthy by responding to pathogenic cues. Investigations into the mechanisms behind immune cell behavior have led to the development of powerful immunotherapies, including chimeric-antigen receptor (CAR) T cells. Although CAR T cells have demonstrated efficacy in treating blood cancers, issues regarding their safety and potency have hindered the use of immunotherapies in a wider spectrum of diseases. Efforts to integrate developments in synthetic biology into immunotherapy have led to several advancements with the potential to expand the range of treatable diseases, fine-tune the desired immune response, and improve therapeutic cell potency. Here, we examine current synthetic biology advances that aim to improve on existing technologies and discuss the promise of the next generation of engineered immune cell therapies.
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Affiliation(s)
- Iowis Zhu
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA 94143, USA
- These authors contributed equally
| | - Dan I. Piraner
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA 94143, USA
- These authors contributed equally
| | - Kole T. Roybal
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA 94143, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94158, USA 8Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
- Gladstone UCSF Institute for Genetic Immunology, San Francisco, CA 94107, USA
- UCSF Cell Design Institute, San Francisco, CA 94158, USA
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30
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McKenzie C, El-Kholy M, Parekh F, Robson M, Lamb K, Allen C, Sillibourne J, Cordoba S, Thomas S, Pule M. Novel Fas-TNFR chimeras that prevent Fas ligand-mediated kill and signal synergistically to enhance CAR T cell efficacy. MOLECULAR THERAPY. NUCLEIC ACIDS 2023; 32:603-621. [PMID: 37200859 PMCID: PMC10185706 DOI: 10.1016/j.omtn.2023.04.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 04/18/2023] [Indexed: 05/20/2023]
Abstract
The hostile tumor microenvironment limits the efficacy of adoptive cell therapies. Activation of the Fas death receptor initiates apoptosis and disrupting these receptors could be key to increasing CAR T cell efficacy. We screened a library of Fas-TNFR proteins identifying several novel chimeras that not only prevented Fas ligand-mediated kill, but also enhanced CAR T cell efficacy by signaling synergistically with the CAR. Upon binding Fas ligand, Fas-CD40 activated the NF-κB pathway, inducing greatest proliferation and IFN-γ release out of all Fas-TNFRs tested. Fas-CD40 induced profound transcriptional modifications, particularly genes relating to the cell cycle, metabolism, and chemokine signaling. Co-expression of Fas-CD40 with either 4-1BB- or CD28-containing CARs increased in vitro efficacy by augmenting CAR T cell proliferation and cancer target cytotoxicity, and enhanced tumor killing and overall mouse survival in vivo. Functional activity of the Fas-TNFRs were dependent on the co-stimulatory domain within the CAR, highlighting crosstalk between signaling pathways. Furthermore, we show that a major source for Fas-TNFR activation derives from CAR T cells themselves via activation-induced Fas ligand upregulation, highlighting a universal role of Fas-TNFRs in augmenting CAR T cell responses. We have identified Fas-CD40 as the optimal chimera for overcoming Fas ligand-mediated kill and enhancing CAR T cell efficacy.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Martin Pule
- Autolus Therapeutics, London W12 7FP, UK
- Department of Haematology, UCL Cancer Institute, University College, 72 Huntley Street, London WC1E 6DD, UK
- Corresponding author Martin Pule, Autolus Therapeutics, London W12 7FP, UK.
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31
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Si W, Fan YY, Qiu SZ, Li X, Wu EY, Ju JQ, Huang W, Wang HP, Wei P. Design of diversified chimeric antigen receptors through rational module recombination. iScience 2023; 26:106529. [PMID: 37102149 PMCID: PMC10123334 DOI: 10.1016/j.isci.2023.106529] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 02/28/2023] [Accepted: 03/24/2023] [Indexed: 04/28/2023] Open
Abstract
Chimeric antigen receptor (CAR)-T cells have shown great promise in cancer therapy. However, the anti-tumor efficiency is limited due to the CAR-induced T cell apoptosis or exhaustion. The intracellular domain of CAR comprised of various signaling modules orchestrates CAR-T cell behaviors. The modularity of CAR signaling domain functions as the "mainboard" to assemble diversified downstream signaling components. Here, we implemented the modular recombination strategy to construct a library of CARs with synthetic co-signaling modules adopted from immunoglobin-like superfamily (IgSF) and tumor necrosis factor receptor superfamily (TNFRSF). We quantitatively characterized the signaling behaviors of these recombinants by both NFAT and NF-κB reporter, and identified a set of new CARs with diverse signaling behaviors. Specifically, the 28(NM)-BB(MC) CAR-T cells exhibited improved cytotoxicity and T cell persistence. The synthetic approach can promote our understanding of the signaling principles of CAR molecule, and provide a powerful tool box for CAR-T cell engineering.
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Affiliation(s)
- Wen Si
- Center for Cell and Gene Circuit Design, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Center for Quantitative Biology and Peking-Tsinghua Joint Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Ying-Ying Fan
- Center for Cell and Gene Circuit Design, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Center for Quantitative Biology and Peking-Tsinghua Joint Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Shi-Zhen Qiu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Xin Li
- Center for Cell and Gene Circuit Design, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Er-Yi Wu
- Center for Cell and Gene Circuit Design, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Center for Quantitative Biology and Peking-Tsinghua Joint Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Jian-Qi Ju
- Center for Quantitative Biology and Peking-Tsinghua Joint Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Wen Huang
- Center for Quantitative Biology and Peking-Tsinghua Joint Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Hao-Peng Wang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Ping Wei
- Center for Cell and Gene Circuit Design, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Center for Quantitative Biology and Peking-Tsinghua Joint Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Corresponding author
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32
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Peng JJ, Wang L, Li Z, Ku CL, Ho PC. Metabolic challenges and interventions in CAR T cell therapy. Sci Immunol 2023; 8:eabq3016. [PMID: 37058548 DOI: 10.1126/sciimmunol.abq3016] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/16/2023]
Abstract
Chimeric antigen receptor (CAR) T cells have achieved true clinical success in treating hematological malignancy patients, laying the foundation of CAR T cells as a new pillar of cancer therapy. Although these promising effects have generated strong interest in expanding the treatment of CAR T cells to solid tumors, reproducible demonstration of clinical efficacy in the setting of solid tumors has remained challenging to date. Here, we review how metabolic stress and signaling in the tumor microenvironment, including intrinsic determinants of response to CAR T cell therapy and extrinsic obstacles, restrict the efficacy of CAR T cell therapy in cancer treatment. In addition, we discuss the use of novel approaches to target and rewire metabolic programming for CAR T cell manufacturing. Last, we summarize strategies that aim to improve the metabolic adaptability of CAR T cells to enhance their potency in mounting antitumor responses and survival within the tumor microenvironment.
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Affiliation(s)
- Jhan-Jie Peng
- Department of Fundamental Oncology, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne, Epalinges, Switzerland
- Graduate Institute of Clinical Medical Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Limei Wang
- Department of Fundamental Oncology, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne, Epalinges, Switzerland
| | - Zhiyu Li
- Department of Fundamental Oncology, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne, Epalinges, Switzerland
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, P.R. China
| | - Cheng-Lung Ku
- Graduate Institute of Clinical Medical Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Ping-Chih Ho
- Department of Fundamental Oncology, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne, Epalinges, Switzerland
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33
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Butler SE, Hartman CJ, Huang YH, Ackerman ME. Toward high-throughput engineering techniques for improving CAR intracellular signaling domains. Front Bioeng Biotechnol 2023; 11:1101122. [PMID: 37051270 PMCID: PMC10083361 DOI: 10.3389/fbioe.2023.1101122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 03/16/2023] [Indexed: 03/29/2023] Open
Abstract
Chimeric antigen receptors (CAR) are generated by linking extracellular antigen recognition domains with one or more intracellular signaling domains derived from the T-cell receptor complex or various co-stimulatory receptors. The choice and relative positioning of signaling domains help to determine chimeric antigen receptors T-cell activity and fate in vivo. While prior studies have focused on optimizing signaling power through combinatorial investigation of native intracellular signaling domains in modular fashion, few have investigated the prospect of sequence engineering within domains. Here, we sought to develop a novel in situ screening method that could permit deployment of directed evolution approaches to identify intracellular domain variants that drive selective induction of transcription factors. To accomplish this goal, we evaluated a screening approach based on the activation of a human NF-κB and NFAT reporter T-cell line for the isolation of mutations that directly impact T cell activation in vitro. As a proof-of-concept, a model library of chimeric antigen receptors signaling domain variants was constructed and used to demonstrate the ability to discern amongst chimeric antigen receptors containing different co-stimulatory domains. A rare, higher-signaling variant with frequency as low as 1 in 1000 could be identified in a high throughput setting. Collectively, this work highlights both prospects and limitations of novel mammalian display methods for chimeric antigen receptors signaling domain discovery and points to potential strategies for future chimeric antigen receptors development.
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Affiliation(s)
- Savannah E. Butler
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
- Thayer School of Engineering, Dartmouth College, Hanover, NH, United States
| | - Colin J. Hartman
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
- Thayer School of Engineering, Dartmouth College, Hanover, NH, United States
| | - Yina H. Huang
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
- Department of Pathology and Laboratory Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Margaret E. Ackerman
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
- Thayer School of Engineering, Dartmouth College, Hanover, NH, United States
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34
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Labanieh L, Mackall CL. CAR immune cells: design principles, resistance and the next generation. Nature 2023; 614:635-648. [PMID: 36813894 DOI: 10.1038/s41586-023-05707-3] [Citation(s) in RCA: 290] [Impact Index Per Article: 145.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 01/04/2023] [Indexed: 02/24/2023]
Abstract
The remarkable clinical activity of chimeric antigen receptor (CAR) therapies in B cell and plasma cell malignancies has validated the use of this therapeutic class for liquid cancers, but resistance and limited access remain as barriers to broader application. Here we review the immunobiology and design principles of current prototype CARs and present emerging platforms that are anticipated to drive future clinical advances. The field is witnessing a rapid expansion of next-generation CAR immune cell technologies designed to enhance efficacy, safety and access. Substantial progress has been made in augmenting immune cell fitness, activating endogenous immunity, arming cells to resist suppression via the tumour microenvironment and developing approaches to modulate antigen density thresholds. Increasingly sophisticated multispecific, logic-gated and regulatable CARs display the potential to overcome resistance and increase safety. Early signs of progress with stealth, virus-free and in vivo gene delivery platforms provide potential paths for reduced costs and increased access of cell therapies in the future. The continuing clinical success of CAR T cells in liquid cancers is driving the development of increasingly sophisticated immune cell therapies that are poised to translate to treatments for solid cancers and non-malignant diseases in the coming years.
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Affiliation(s)
- Louai Labanieh
- Department of Bioengineering, Stanford University, Stanford, CA, USA.,Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University, Stanford, CA, USA.,Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Crystal L Mackall
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University, Stanford, CA, USA. .,Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA. .,Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University, Stanford, CA, USA. .,Division of Blood and Marrow Transplantation and Cell Therapy, Department of Medicine, Stanford University, Stanford, CA, USA.
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35
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Daniels KG, Wang S, Simic MS, Bhargava HK, Capponi S, Tonai Y, Yu W, Bianco S, Lim WA. Decoding CAR T cell phenotype using combinatorial signaling motif libraries and machine learning. Science 2022; 378:1194-1200. [PMID: 36480602 PMCID: PMC10026561 DOI: 10.1126/science.abq0225] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Chimeric antigen receptor (CAR) costimulatory domains derived from native immune receptors steer the phenotypic output of therapeutic T cells. We constructed a library of CARs containing ~2300 synthetic costimulatory domains, built from combinations of 13 signaling motifs. These CARs promoted diverse human T cell fates, which were sensitive to motif combinations and configurations. Neural networks trained to decode the combinatorial grammar of CAR signaling motifs allowed extraction of key design rules. For example, non-native combinations of motifs that bind tumor necrosis factor receptor-associated factors (TRAFs) and phospholipase C gamma 1 (PLCγ1) enhanced cytotoxicity and stemness associated with effective tumor killing. Thus, libraries built from minimal building blocks of signaling, combined with machine learning, can efficiently guide engineering of receptors with desired phenotypes.
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Affiliation(s)
- Kyle G Daniels
- Cell Design Institute, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Shangying Wang
- Department of Functional Genomics and Cellular Engineering, IBM Almaden Research Center, San Jose, CA 95120, USA
- Center for Cellular Construction, San Francisco, CA 94158, USA
| | - Milos S Simic
- Cell Design Institute, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Hersh K Bhargava
- Cell Design Institute, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Sara Capponi
- Department of Functional Genomics and Cellular Engineering, IBM Almaden Research Center, San Jose, CA 95120, USA
- Center for Cellular Construction, San Francisco, CA 94158, USA
| | - Yurie Tonai
- Cell Design Institute, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Wei Yu
- Cell Design Institute, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Simone Bianco
- Department of Functional Genomics and Cellular Engineering, IBM Almaden Research Center, San Jose, CA 95120, USA
- Center for Cellular Construction, San Francisco, CA 94158, USA
| | - Wendell A Lim
- Cell Design Institute, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
- Center for Cellular Construction, San Francisco, CA 94158, USA
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36
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Cancer immunotherapy with CAR T cells: well-trodden paths and journey along lesser-known routes. Radiol Oncol 2022; 56:409-419. [PMID: 36503716 PMCID: PMC9784369 DOI: 10.2478/raon-2022-0049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 10/27/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Chimeric antigen receptor (CAR) T cell therapy is a clinically approved cancer immunotherapy approach using genetically engineered T cells. The success of CAR T cells has been met with challenges regarding efficacy and safety. Although a broad spectrum of CAR T cell variants and applications is emerging, this review focuses on CAR T cells for the treatment of cancer. In the first part, the general principles of adoptive cell transfer, the architecture of the CAR molecule, and the effects of design on function are presented. The second part describes five conceptual challenges that hinder the success of CAR T cells; immunosuppressive tumour microenvironment, T cell intrinsic properties, tumour targeting, manufacturing cellular product, and immune-related adverse events. Throughout the review, selected current approaches to address these issues are presented. CONCLUSIONS Cancer immunotherapy with CAR T cells represents a paradigm shift in the treatment of certain blood cancers that do not respond to other available treatment options. Well-trodden paths taken by pioneers led to the first clinical approval, and now the journey continues down lesser-known paths to treat a variety of cancers and other serious diseases with CAR T cells.
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37
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Abstract
Immune cells are being engineered to recognize and respond to disease states, acting as a "living drug" when transferred into patients. Therapies based on engineered immune cells are now a clinical reality, with multiple engineered T cell therapies approved for treatment of hematologic malignancies. Ongoing preclinical and clinical studies are testing diverse strategies to modify the fate and function of immune cells for applications in cancer, infectious disease, and beyond. Here, we discuss current progress in treating human disease with immune cell therapeutics, emerging strategies for immune cell engineering, and challenges facing the field, with a particular emphasis on the treatment of cancer, where the most effort has been applied to date.
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Affiliation(s)
- Darrell J. Irvine
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA.,Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.,Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Howard Hughes Medical Institute, Cambridge, MA, USA
| | - Marcela V. Maus
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.,Cellular Immunotherapy Program, Massachusetts General Hospital Cancer Center, Boston, MA, USA,Harvard Medical School, Boston MA, USA
| | - David J. Mooney
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, U.S.A.,Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, MA, U.S.A
| | - Wilson W. Wong
- Department of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA
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38
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Castellanos-Rueda R, Di Roberto RB, Bieberich F, Schlatter FS, Palianina D, Nguyen OTP, Kapetanovic E, Läubli H, Hierlemann A, Khanna N, Reddy ST. speedingCARs: accelerating the engineering of CAR T cells by signaling domain shuffling and single-cell sequencing. Nat Commun 2022; 13:6555. [PMID: 36323661 PMCID: PMC9630321 DOI: 10.1038/s41467-022-34141-8] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 10/14/2022] [Indexed: 11/05/2022] Open
Abstract
Chimeric antigen receptors (CARs) consist of an antigen-binding region fused to intracellular signaling domains, enabling customized T cell responses against targets. Despite their major role in T cell activation, effector function and persistence, only a small set of immune signaling domains have been explored. Here we present speedingCARs, an integrated method for engineering CAR T cells via signaling domain shuffling and pooled functional screening. Leveraging the inherent modularity of natural signaling domains, we generate a library of 180 unique CAR variants genomically integrated into primary human T cells by CRISPR-Cas9. In vitro tumor cell co-culture, followed by single-cell RNA sequencing (scRNA-seq) and single-cell CAR sequencing (scCAR-seq), enables high-throughput screening for identifying several variants with tumor killing properties and T cell phenotypes markedly different from standard CARs. Mapping of the CAR scRNA-seq data onto that of tumor infiltrating lymphocytes further helps guide the selection of variants. These results thus help expand the CAR signaling domain combination space, and supports speedingCARs as a tool for the engineering of CARs for potential therapeutic development.
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Affiliation(s)
- Rocío Castellanos-Rueda
- Department of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland
- Life Science Zurich Graduate School, ETH Zürich, University of Zurich, 8057, Zürich, Switzerland
| | - Raphaël B Di Roberto
- Department of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland
| | - Florian Bieberich
- Department of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland
- Life Science Zurich Graduate School, ETH Zürich, University of Zurich, 8057, Zürich, Switzerland
| | - Fabrice S Schlatter
- Department of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland
| | - Darya Palianina
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Oanh T P Nguyen
- Department of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland
| | - Edo Kapetanovic
- Department of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland
| | - Heinz Läubli
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Andreas Hierlemann
- Department of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland
| | - Nina Khanna
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Sai T Reddy
- Department of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland.
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