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Hou F, Guo Z, Ho MT, Hui Y, Zhao CX. Particle-Based Artificial Antigen-Presenting Cell Systems for T Cell Activation in Adoptive T Cell Therapy. ACS Nano 2024; 18:8571-8599. [PMID: 38483840 DOI: 10.1021/acsnano.3c10180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
T cell-based adoptive cell therapy (ACT) has emerged as a promising treatment for various diseases, particularly cancers. Unlike other immunotherapy modalities, ACT involves directly transferring engineered T cells into patients to eradicate diseased cells; hence, it necessitates methods for effectively activating and expanding T cells in vitro. Artificial antigen-presenting cells (aAPCs) have been widely developed based on biomaterials, particularly micro- and nanoparticles, and functionalized with T cell stimulatory antibodies to closely mimic the natural T cell-APC interactions. Due to their vast clinical utility, aAPCs have been employed as an off-the-shelf technology for T cell activation in FDA-approved ACTs, and the development of aAPCs is constantly advancing with the emergence of aAPCs with more sophisticated designs and additional functionalities. Here, we review the recent advancements in particle-based aAPCs for T cell activation in ACTs. Following a brief introduction, we first describe the manufacturing processes of ACT products. Next, the design and synthetic strategies for micro- and nanoparticle-based aAPCs are discussed separately to emphasize their features, advantages, and limitations. Then, the impact of design parameters of aAPCs, such as size, shape, ligand density/mobility, and stiffness, on their functionality and biomedical performance is explored to provide deeper insights into the design concepts and principles for more efficient and safer aAPCs. The review concludes by discussing current challenges and proposing future perspectives for the development of more advanced aAPCs.
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Affiliation(s)
- Fei Hou
- School of Chemical Engineering, Faculty of Sciences, Engineering and Technology, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Zichao Guo
- School of Chemical Engineering, Faculty of Sciences, Engineering and Technology, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Minh Trang Ho
- School of Chemical Engineering, Faculty of Sciences, Engineering and Technology, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Yue Hui
- School of Chemical Engineering, Faculty of Sciences, Engineering and Technology, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Chun-Xia Zhao
- School of Chemical Engineering, Faculty of Sciences, Engineering and Technology, The University of Adelaide, Adelaide, South Australia 5005, Australia
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2
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Flumens D, Gielis S, Bartholomeus E, Campillo-Davo D, van der Heijden S, Versteven M, De Reu H, Smits E, Ogunjimi B, Laukens K, Meysman P, Lion E. Training of epitope-TCR prediction models with healthy donor-derived cancer-specific T cells. Methods Cell Biol 2023; 183:143-160. [PMID: 38548410 DOI: 10.1016/bs.mcb.2023.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Discovery of epitope-specific T-cell receptors (TCRs) for cancer therapies is a time consuming and expensive procedure that usually requires a large amount of patient cells. To maximize information from and minimize the need of precious samples in cancer research, prediction models have been developed to identify in silico epitope-specific TCRs. In this chapter, we provide a step-by-step protocol to train a prediction model using the user-friendly TCRex webtool for the nearly universal tumor-associated antigen Wilms' tumor 1 (WT1)-specific TCR repertoire. WT1 is a self-antigen overexpressed in numerous solid and hematological malignancies with a high clinical relevance. Training of computational models starts from a list of known epitope-specific TCRs which is often not available for new cancer epitopes. Therefore, we describe a workflow to assemble a training data set consisting of TCR sequences obtained from WT137-45-reactive CD8 T cell clones expanded and sorted from healthy donor peripheral blood mononuclear cells.
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Affiliation(s)
- Donovan Flumens
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Sofie Gielis
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (Biomina), University of Antwerp, Antwerp, Belgium
| | - Esther Bartholomeus
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), VAXINFECTIO, University of Antwerp, Antwerp, Belgium; Antwerp Center for Translational Immunology and Virology (ACTIV), Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Diana Campillo-Davo
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Sanne van der Heijden
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium; Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Antwerp, Belgium
| | - Maarten Versteven
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Hans De Reu
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Evelien Smits
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), VAXINFECTIO, University of Antwerp, Antwerp, Belgium
| | - Benson Ogunjimi
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), VAXINFECTIO, University of Antwerp, Antwerp, Belgium; Antwerp Center for Translational Immunology and Virology (ACTIV), Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Kris Laukens
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (Biomina), University of Antwerp, Antwerp, Belgium
| | - Pieter Meysman
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (Biomina), University of Antwerp, Antwerp, Belgium
| | - Eva Lion
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Center for Cell Therapy & Regenerative Medicine (CCRG), Antwerp University Hospital, Edegem, Belgium.
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3
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Weiss L, Weiden J, Dölen Y, Grad EM, van Dinther EAW, Schluck M, Eggermont LJ, van Mierlo G, Gileadi U, Bartoló-Ibars A, Raavé R, Gorris MAJ, Maassen L, Verrijp K, Valente M, Deplancke B, Verdoes M, Benitez-Ribas D, Heskamp S, van Spriel AB, Figdor CG, Hammink R. Direct In Vivo Activation of T Cells with Nanosized Immunofilaments Inhibits Tumor Growth and Metastasis. ACS Nano 2023. [PMID: 37338806 DOI: 10.1021/acsnano.2c11884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
Adoptive T cell therapy has successfully been implemented for the treatment of cancer. Nevertheless, ex vivo expansion of T cells by artificial antigen-presenting cells (aAPCs) remains cumbersome and can compromise T cell functionality, thereby limiting their therapeutic potential. We propose a radically different approach aimed at direct expansion of T cells in vivo, thereby omitting the need for large-scale ex vivo T cell production. We engineered nanosized immunofilaments (IFs), with a soluble semiflexible polyisocyanopeptide backbone that presents peptide-loaded major histocompatibility complexes and costimulatory molecules multivalently. IFs readily activated and expanded antigen-specific T cells like natural APCs, as evidenced by transcriptomic analyses of T cells. Upon intravenous injection, IFs reach the spleen and lymph nodes and induce antigen-specific T cell responses in vivo. Moreover, IFs display strong antitumor efficacy resulting in inhibition of the formation of melanoma metastases and reduction of primary tumor growth in synergy with immune checkpoint blockade. In conclusion, nanosized IFs represent a powerful modular platform for direct activation and expansion of antigen-specific T cells in vivo, which can greatly contribute to cancer immunotherapy.
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Affiliation(s)
- Lea Weiss
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Institute for Chemical Immunology, 6525 GA Nijmegen, The Netherlands
| | - Jorieke Weiden
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Institute for Chemical Immunology, 6525 GA Nijmegen, The Netherlands
| | - Yusuf Dölen
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Emilia M Grad
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Eric A W van Dinther
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Marjolein Schluck
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Institute for Chemical Immunology, 6525 GA Nijmegen, The Netherlands
| | - Loek J Eggermont
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Guido van Mierlo
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), 1015 CH Lausanne, Switzerland
| | - Uzi Gileadi
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, OX3 9DS Oxford, United Kingdom
| | - Ariadna Bartoló-Ibars
- Department of Immunology, Hospital Clinic, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Carrer Villarroel 170, 08036 Barcelona, Spain
| | - René Raavé
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein-Zuid 10, 6525 HP Nijmegen, The Netherlands
| | - Mark A J Gorris
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Lisa Maassen
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
| | - Kiek Verrijp
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Michael Valente
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Bart Deplancke
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), 1015 CH Lausanne, Switzerland
| | - Martijn Verdoes
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Institute for Chemical Immunology, 6525 GA Nijmegen, The Netherlands
| | - Daniel Benitez-Ribas
- Department of Immunology, Hospital Clinic, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Carrer Villarroel 170, 08036 Barcelona, Spain
| | - Sandra Heskamp
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein-Zuid 10, 6525 HP Nijmegen, The Netherlands
| | - Annemiek B van Spriel
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Institute for Chemical Immunology, 6525 GA Nijmegen, The Netherlands
| | - Carl G Figdor
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Institute for Chemical Immunology, 6525 GA Nijmegen, The Netherlands
| | - Roel Hammink
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, The Netherlands
- Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
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4
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Bhatta R, Han J, Liu Y, Bo Y, Wang H. T cell-responsive macroporous hydrogels for in situ T cell expansion and enhanced antitumor efficacy. Biomaterials 2023; 293:121972. [PMID: 36566554 PMCID: PMC9868092 DOI: 10.1016/j.biomaterials.2022.121972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 11/20/2022] [Accepted: 12/16/2022] [Indexed: 12/23/2022]
Abstract
Adoptive T cell therapy has demonstrated great promise for treating cancer and other diseases. While extensive effort has been made to improve ex vivo expansion of T cells, strategies for maintaining the proliferation and function of T cells post adoptive transfer are still lacking. Here we report an injectable T cell-responsive macroporous hydrogel that enables in situ activation and expansion of T cells. The macroporous gel is composed of a polymeric network with dispersed macropores (∼150 μm) that are large enough to home T cells. In the presence of T cells that can gradually disrupt the gel network surrounding the macropores, activation cues can be gradually released for in situ activation and expansion of T cells. This T cell-responsive macroporous gel enables expansion of effector T cells in vivo, is stable over weeks upon subcutaneous injection, and results in enhanced CD8+ T cell response and antitumor efficacy. We further show that the T cell-responsive macroporous gel could achieve comparable antitumor efficacy to conventional T cell therapy with a much lower cell dose. This injectable, T cell-responsive macroporous gel provides a platform for in vivo expansion of engineered T cells in a controlled manner, for timely and effective treatment of diseases.
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Affiliation(s)
- Rimsha Bhatta
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Joonsu Han
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Yusheng Liu
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Yang Bo
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Hua Wang
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA; Cancer Center at Illinois (CCIL), Urbana, IL, 61801, USA; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA; Carle College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA; Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA; Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
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5
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MacPherson S, Keyes S, Kilgour MK, Smazynski J, Chan V, Sudderth J, Turcotte T, Devlieger A, Yu J, Huggler KS, Cantor JR, DeBerardinis RJ, Siatskas C, Lum JJ. Clinically relevant T cell expansion media activate distinct metabolic programs uncoupled from cellular function. Mol Ther Methods Clin Dev 2022; 24:380-393. [PMID: 35284590 PMCID: PMC8897702 DOI: 10.1016/j.omtm.2022.02.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 02/11/2022] [Indexed: 12/17/2022]
Abstract
Ex vivo expansion conditions used to generate T cells for immunotherapy are thought to adopt metabolic phenotypes that impede therapeutic efficacy in vivo. The comparison of five different culture media used for clinical T cell expansion revealed unique optima based on different output variables, including proliferation, differentiation, function, activation, and mitochondrial phenotypes. The extent of proliferation and function depended on the culture media rather than stimulation conditions. Moreover, the expanded T cell end products adapted their metabolism when switched to a different media formulation, as shown by glucose and glutamine uptake and patterns of glucose isotope labeling. However, adoption of these metabolic phenotypes was uncoupled to T cell function. Expanded T cell products cultured in ascites from ovarian cancer patients displayed suppressed mitochondrial activity and function irrespective of the ex vivo expansion media. Thus, ex vivo T cell expansion media have profound impacts on metabolism and function.
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Affiliation(s)
- Sarah MacPherson
- Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, BC V8R6V5, Canada
| | - Sarah Keyes
- Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, BC V8R6V5, Canada
| | - Marisa K Kilgour
- Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, BC V8R6V5, Canada.,Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada
| | - Julian Smazynski
- Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, BC V8R6V5, Canada.,Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada
| | - Vanessa Chan
- Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, BC V8R6V5, Canada.,Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada
| | - Jessica Sudderth
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | | | - Jessie Yu
- Stemcell Technologies Canada Inc., Vancouver, BC, Canada
| | - Kimberly S Huggler
- Morgridge Institute for Research, Madison, WI, USA.,Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Jason R Cantor
- Morgridge Institute for Research, Madison, WI, USA.,Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.,University of Wisconsin Carbone Cancer Center, Madison, WI, USA
| | - Ralph J DeBerardinis
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Julian J Lum
- Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, BC V8R6V5, Canada.,Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada
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6
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Zhao H, Liu Y, Wang L, Jin G, Zhao X, Xu J, Zhang G, Ma Y, Yin N, Peng M. Genome-wide fitness gene identification reveals Roquin as a potent suppressor of CD8 T cell expansion and anti-tumor immunity. Cell Rep 2021; 37:110083. [PMID: 34879274 DOI: 10.1016/j.celrep.2021.110083] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/03/2021] [Accepted: 11/10/2021] [Indexed: 12/26/2022] Open
Abstract
Robust expansion of adoptively transferred T cells is a prerequisite for effective cancer immunotherapy, but how many genes in the genome modulate T cell expansion remains unknown. Here, we perform in vivo and in vitro CRISPR screens to systematically identify genes influencing CD8 T cell expansion. In the mouse genome, ∼2,600 and ∼1,500 genes are required for optimal CD8 T cell expansion in vivo and in vitro, respectively. In vivo-specific CD8 T cell essential genes are enriched in metabolic pathways, including mitochondrial metabolism. The strongest repressor of CD8 T cell expansion is Roquin, the ablation of which drastically boosts T cell proliferation by enhancing cell-cycle progression and upregulation of IRF4. Roquin deficiency or IRF4 overexpression potently enhances anti-tumor immunity. These data provide a functional catalog of CD8 T cell fitness genes and suggest that targeting the Roquin-IRF4 axis is an effective strategy to enhance efficacy of adoptive transfer therapy for cancer.
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Affiliation(s)
- Hanfei Zhao
- Institute for Immunology, Tsinghua University, Beijing 100084, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Ying Liu
- Institute for Immunology, Tsinghua University, Beijing 100084, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Lixia Wang
- Institute for Immunology, Tsinghua University, Beijing 100084, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Center for Life Sciences, Beijing 100084, China
| | - Gang Jin
- Institute for Immunology, Tsinghua University, Beijing 100084, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Xiaocui Zhao
- Institute for Immunology, Tsinghua University, Beijing 100084, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Center for Life Sciences, Beijing 100084, China
| | - Jing Xu
- Institute for Immunology, Tsinghua University, Beijing 100084, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Guangyue Zhang
- Institute for Immunology, Tsinghua University, Beijing 100084, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Center for Life Sciences, Beijing 100084, China
| | - Yuying Ma
- Institute for Immunology, Tsinghua University, Beijing 100084, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Na Yin
- Institute for Immunology, Tsinghua University, Beijing 100084, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Min Peng
- Institute for Immunology, Tsinghua University, Beijing 100084, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Center for Life Sciences, Beijing 100084, China; Beijing Key Laboratory for Immunological Research on Chronic Diseases, Tsinghua University, Beijing 100084, China.
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7
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Csaplár M, Szöllősi J, Gottschalk S, Vereb G, Szöőr Á. Cytolytic Activity of CAR T Cells and Maintenance of Their CD4+ Subset Is Critical for Optimal Antitumor Activity in Preclinical Solid Tumor Models. Cancers (Basel) 2021; 13:4301. [PMID: 34503109 DOI: 10.3390/cancers13174301] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/23/2021] [Accepted: 08/24/2021] [Indexed: 11/17/2022] Open
Abstract
Simple Summary Adoptively transferred T cells expressing recombinant chimeric antigen receptors (CAR T cells) have been approved for the therapy of hematological malignancies of the B cell lineage. However, CAR T cell therapy for patients with solid tumors so far has shown limited benefits. Correlative clinical studies of patients with hematological malignancies have suggested that less differentiated CAR T cells have improved anti-leukemic activity. We have therefore investigated the role of differentiation on the anti-tumor activity of CAR T cells targeting the solid tumor antigen HER2 in preclinical models. We utilized different activation/expansion protocols, and explored whether different co-stimulatory domains in the CAR construct influence the short- and long-term efficacy of HER2-CAR T cells. We demonstrate that the CAR T cell product with the highest proportion of effector cells and maintaining a good balance of CD4+/CD8+ cells is the most effective against solid tumors both in vitro and in vivo. Abstract Correlative clinical studies of hematological malignancies have implicated that less differentiated, CD8+-dominant CAR T cell products have greater antitumor activity. Here, we have investigated whether the differentiation status of CAR T cell products affects their antitumor activity in preclinical models of solid tumors. We explored if different activation/expansion protocols, as well as different co-stimulatory domains in the CAR construct, influence the short- and long-term efficacy of CAR T cells against HER2-positive tumors. We generated T cell products that range from the most differentiated (CD28.z; OKT3-antiCD28/RPMI expansion) to the least differentiated (41BB.z; OKT3-RetroNectin/LymphoONE expansion), as judged by cell surface expression of the differentiation markers CCR7 and CD45RA. While the effect of differentiation status was variable with regard to antigen-specific cytokine production, the most differentiated CD28.z CAR T cell products, which were enriched in effector memory T cells, had the greatest target-specific cytolytic activity in vitro. These products also had a greater proliferative capacity and maintained CD4+ T cells upon repeated stimulation in vitro. In vivo, differentiated CD28.z CAR T cells also had the greatest antitumor activity, resulting in complete response. Our results highlight that it is critical to optimize CAR T cell production and that optimal product characteristics might depend on the targeted antigen and/or cancer.
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8
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Zhong K, Liu Z, Li H, Zhao S, Wang Y, Guo W, Zheng X, Yang H, Guo G, Zhou L, Xu J, Tong A. T cell stimulation and expansion by SunTag-based clustering of anti-CD3/CD28 scFv. Aging (Albany NY) 2020; 12:11061-11070. [PMID: 32526703 PMCID: PMC7346064 DOI: 10.18632/aging.103318] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 04/28/2020] [Indexed: 02/05/2023]
Abstract
Therapeutic ex vivo T cell expansion is limited by low rates and poor functionality, especially for T cells from aged cancer patients. Here, we describe a novel method for T cell stimulation and expansion using a system named SunTag-based clustering of anti-CD3/CD28 scFv (SBCS). In this method, SunTag was used to recruit up to 13 copies of anti-CD3/CD28 scFv for T cell activation. Compared with the traditional method using immobilized CD3/CD28 antibodies, the SBCS system produced approximately 1.5-fold greater expansion of T cells from healthy donors, and more than 2-fold greater expansion of T cells from aged cancer patients after stimulation. The efficiency of expansion depended mainly on the concentration of the clustered polymers of anti-CD3 scFv rather than anti-CD28 scFv. We also demonstrated that the SBCS-expanded T cells could be used to prepare functional chimeric antigen receptor modified T cells for antitumor therapy.
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Affiliation(s)
- Kunhong Zhong
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan Province, China
| | - Zhiyong Liu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Hongjian Li
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan Province, China
| | - Shasha Zhao
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan Province, China
| | - Yuelong Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Wenhao Guo
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan Province, China
| | - Xi Zheng
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Hui Yang
- Department of Otolaryngology, Head and Neck Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Gang Guo
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan Province, China
| | - Liangxue Zhou
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Jianguo Xu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Aiping Tong
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan Province, China
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9
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Nielsen M, Krarup-Hansen A, Hovgaard D, Petersen MM, Loya AC, Westergaard MCW, Svane IM, Junker N. In vitro 4-1BB stimulation promotes expansion of CD8 + tumor-infiltrating lymphocytes from various sarcoma subtypes. Cancer Immunol Immunother 2020; 69:2179-2191. [PMID: 32472369 DOI: 10.1007/s00262-020-02568-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 04/03/2020] [Indexed: 12/22/2022]
Abstract
Tumor-specific tumor-infiltrating lymphocytes (TILs) can be in vitro expanded and have the ability to induce complete and durable tumor regression in some patients with melanoma following adoptive cell therapy (ACT). In this preclinical study, we investigated the feasibility of expanding TIL from sarcomas, as well as performing functional in vitro analyses on these. TILs were expanded in vitro by the use of IL2 stimulation with or without the addition of 4-1BB and CD3 antibodies. Phenotypical and functional analyses were mainly performed by flow cytometry. TILs were expanded from 25 of 28 (89%) tumor samples from patients with 9 different sarcoma subtypes. TILs were predominantly αβ T-cells of effector memory subtype with CD4+ dominance. In particular, CD8+ TIL highly expressed LAG3 and to a lesser degree PD-1 and BTLA. In total, 10 of 20 TIL cultures demonstrated in vitro recognition of autologous tumor. In some cases, the fraction of tumor-reactive T cells was more than 20%. 4-1BB stimulation augmented expansion kinetics and favored CD8+ occurrence. In conclusion, TIL expansion from sarcoma is feasible and expanded TILs highly express LAG3 and comprise multifunctional tumor-reactive T-cells.
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Affiliation(s)
- Morten Nielsen
- Department of Oncology, National Center for Cancer Immune Therapy (CCIT-DK), Copenhagen University Hospital Herlev, Herlev, Denmark
| | | | - Dorrit Hovgaard
- Department of Orthopedic Surgery, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Michael Mørk Petersen
- Department of Orthopedic Surgery, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Anand Chainsukh Loya
- Department of Pathology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | | | - Inge Marie Svane
- Department of Oncology, National Center for Cancer Immune Therapy (CCIT-DK), Copenhagen University Hospital Herlev, Herlev, Denmark
| | - Niels Junker
- Department of Oncology, Copenhagen University Hospital Herlev, Herlev, Denmark.
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10
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Abstract
T cells are critical in orchestrating protective immune responses to cancer and an array of pathogens. The interaction between a peptide MHC (pMHC) complex on antigen presenting cells (APCs) and T cell receptors (TCRs) on T cells initiates T cell activation, division, and clonal expansion in secondary lymphoid organs. T cells must also integrate multiple T cell-intrinsic and extrinsic signals to acquire the effector functions essential for the defense against invading microbes. In the case of T helper cell differentiation, while innate cytokines have been demonstrated to shape effector CD4+ T lymphocyte function, the contribution of TCR signaling strength to T helper cell differentiation is less understood. In this review, we summarize the signaling cascades regulated by the strength of TCR stimulation. Various mechanisms in which TCR signal strength controls T helper cell expansion and differentiation are also discussed.
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Affiliation(s)
- Nayan D Bhattacharyya
- Immunology and Host Defense Group, Discipline of Infectious Diseases and Immunology, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Tuberculosis Research Program, Centenary Institute, The University of Sydney, Sydney, NSW, Australia
| | - Carl G Feng
- Immunology and Host Defense Group, Discipline of Infectious Diseases and Immunology, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Tuberculosis Research Program, Centenary Institute, The University of Sydney, Sydney, NSW, Australia
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11
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Abstract
Dendritic cells (DCs) are increasingly important for research and clinical use but obtaining sufficient numbers of dendritic cells is a growing challenge. We systemically investigated the effect of monocyte (MO) seeding density on the generation of monocyte-derived immature DCs (iDCs) in MicroDEN, a perfusion-based culture system, as well as 6-well plates. Cell surface markers and the ability of the iDCs to induce proliferation of allogeneic T cells were examined. The data shows a strong relationship between iDC phenotype, specifically CD80/83/86 expression, and T cell proliferation. MicroDEN generated iDCs proved better than well plate generated iDCs at inducing T cell proliferation within the 200k-600k MO/cm2 seeding density range studied. We attribute this to perfusion in MicroDEN which supplies fresh differentiation medium continuously to the differentiating MOs while concurrently removing depleted medium and toxic byproducts of cellular respiration. MicroDEN generated fewer iDCs on a normalized basis than the well plates at lower MO seeding densities but generated equivalent numbers of iDCs at 600k MO seeding density. These results demonstrate that MicroDEN is capable of generating greater numbers of iDCs with less manual work than standard well plate culture and the MicroDEN generated iDCs have greater ability to induce T cell proliferation.
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Affiliation(s)
- Andrew Kozbial
- Northeastern University, Department of Chemical Engineering, Boston, MA 02115
| | - Lekhana Bhandary
- Northeastern University, Department of Chemical Engineering, Boston, MA 02115
| | - Shashi K Murthy
- Northeastern University, Department of Chemical Engineering, Boston, MA 02115
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12
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Davidsen K, Olson BJ, DeWitt WS, Feng J, Harkins E, Bradley P, Matsen FA. Deep generative models for T cell receptor protein sequences. eLife 2019; 8:e46935. [PMID: 31487240 PMCID: PMC6728137 DOI: 10.7554/elife.46935] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Accepted: 08/21/2019] [Indexed: 02/06/2023] Open
Abstract
Probabilistic models of adaptive immune repertoire sequence distributions can be used to infer the expansion of immune cells in response to stimulus, differentiate genetic from environmental factors that determine repertoire sharing, and evaluate the suitability of various target immune sequences for stimulation via vaccination. Classically, these models are defined in terms of a probabilistic V(D)J recombination model which is sometimes combined with a selection model. In this paper we take a different approach, fitting variational autoencoder (VAE) models parameterized by deep neural networks to T cell receptor (TCR) repertoires. We show that simple VAE models can perform accurate cohort frequency estimation, learn the rules of VDJ recombination, and generalize well to unseen sequences. Further, we demonstrate that VAE-like models can distinguish between real sequences and sequences generated according to a recombination-selection model, and that many characteristics of VAE-generated sequences are similar to those of real sequences.
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Affiliation(s)
- Kristian Davidsen
- University of WashingtonSeattleUnited States
- Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Branden J Olson
- University of WashingtonSeattleUnited States
- Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - William S DeWitt
- University of WashingtonSeattleUnited States
- Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Jean Feng
- University of WashingtonSeattleUnited States
- Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Elias Harkins
- University of WashingtonSeattleUnited States
- Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Philip Bradley
- University of WashingtonSeattleUnited States
- Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Frederick A Matsen
- University of WashingtonSeattleUnited States
- Fred Hutchinson Cancer Research CenterSeattleUnited States
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13
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Fujimura T, Kambayashi Y, Sato Y, Tanita K, Amagai R, Hashimoto A, Hidaka T, Aiba S. Successful Treatment of Unresectable Advanced Melanoma by Administration of Nivolumab With Ipilimumab Before Primary Tumor Resection. Front Med (Lausanne) 2019; 6:140. [PMID: 31297373 PMCID: PMC6607934 DOI: 10.3389/fmed.2019.00140] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Accepted: 06/07/2019] [Indexed: 01/05/2023] Open
Abstract
Ipilimumab, in combination with nivolumab, is one of the promising drugs that enhance the anti-tumor immune response of patients with advanced melanoma. Since the co-administration of nivolumab with ipilimumab in the neoadjuvant setting expands melanoma-reactive T cells at the primary site of melanoma and has a high rate of histological complete response, the pre-surgical administration of this combination could be the optimal therapy for unresectable advanced melanoma. In this report, a case of unresectable advanced melanoma treated successfully with administration of nivolumab with ipilimumab before primary tumor resection is presented. In addition, CD8+ T cells increased among the tumor-infiltrating lymphocytes that were surrounding melanoma cells and caspase 3+ cells. The present case suggests that pre-surgical administration of nivolumab with ipilimumab could be the optimal therapy for the treatment of unresectable advanced melanoma.
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Affiliation(s)
- Taku Fujimura
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yumi Kambayashi
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yota Sato
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kayo Tanita
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ryo Amagai
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Akira Hashimoto
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Takanori Hidaka
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Setsuya Aiba
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan
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14
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Hoffmann JM, Schubert ML, Wang L, Hückelhoven A, Sellner L, Stock S, Schmitt A, Kleist C, Gern U, Loskog A, Wuchter P, Hofmann S, Ho AD, Müller-Tidow C, Dreger P, Schmitt M. Differences in Expansion Potential of Naive Chimeric Antigen Receptor T Cells from Healthy Donors and Untreated Chronic Lymphocytic Leukemia Patients. Front Immunol 2018; 8:1956. [PMID: 29375575 PMCID: PMC5767585 DOI: 10.3389/fimmu.2017.01956] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Accepted: 12/19/2017] [Indexed: 12/20/2022] Open
Abstract
Introduction Therapy with chimeric antigen receptor T (CART) cells for hematological malignancies has shown promising results. Effectiveness of CART cells may depend on the ratio of naive (TN) vs. effector (TE) T cells, TN cells being responsible for an enduring antitumor activity through maturation. Therefore, we investigated factors influencing the TN/TE ratio of CART cells. Materials and methods CART cells were generated upon transduction of peripheral blood mononuclear cells with a CD19.CAR-CD28-CD137zeta third generation retroviral vector under two different stimulating culture conditions: anti-CD3/anti-CD28 antibodies adding either interleukin (IL)-7/IL-15 or IL-2. CART cells were maintained in culture for 20 days. We evaluated 24 healthy donors (HDs) and 11 patients with chronic lymphocytic leukemia (CLL) for the composition of cell subsets and produced CART cells. Phenotype and functionality were tested using flow cytometry and chromium release assays. Results IL-7/IL-15 preferentially induced differentiation into TN, stem cell memory (TSCM: naive CD27+ CD95+), CD4+ and CXCR3+ CART cells, while IL-2 increased effector memory (TEM), CD56+ and CD4+ T regulatory (TReg) CART cells. The net amplification of different CART subpopulations derived from HDs and untreated CLL patients was compared. Particularly the expansion of CD4+ CARTN cells differed significantly between the two groups. For HDs, this subtype expanded >60-fold, whereas CD4+ CARTN cells of untreated CLL patients expanded less than 10-fold. Expression of exhaustion marker programmed cell death 1 on CARTN cells on day 10 of culture was significantly higher in patient samples compared to HD samples. As the percentage of malignant B cells was expectedly higher within patient samples, an excessive amount of B cells during culture could account for the reduced expansion potential of CARTN cells in untreated CLL patients. Final TN/TE ratio stayed <0.3 despite stimulation condition for patients, whereas this ratio was >2 in samples from HDs stimulated with IL-7/IL-15, thus demonstrating efficient CARTN expansion. Conclusion Untreated CLL patients might constitute a challenge for long-lasting CART effects in vivo since only a low number of TN among the CART product could be generated. Depletion of malignant B cells before starting CART production might be considered to increase the TN/TE ratio within the CART product.
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Affiliation(s)
- Jean-Marc Hoffmann
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Maria-Luisa Schubert
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Lei Wang
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Angela Hückelhoven
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Leopold Sellner
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.,National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Sophia Stock
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Anita Schmitt
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Christian Kleist
- Department of Nuclear Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Ulrike Gern
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Angelica Loskog
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Patrick Wuchter
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.,Medical Faculty Mannheim, Institute of Transfusion Medicine and Immunology, Heidelberg University, German Red Cross Blood Service Baden-Württemberg - Hessen, Mannheim, Germany
| | - Susanne Hofmann
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Anthony D Ho
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.,National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Carsten Müller-Tidow
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.,National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Peter Dreger
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.,National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Michael Schmitt
- Cellular Immunotherapy, GMP Core Facility, Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.,National Center for Tumor Diseases (NCT), Heidelberg, Germany
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15
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Abstract
Antigen-specific immunity conferred by T lymphocytes is a result of complex molecular interactions at the immunological synapse. A variety of biomimetic approaches have been devised to artificially induce T cell activation either to study the T cell biology or to expand and prime the therapeutic T cell populations. Here we first briefly review the molecular and cellular, structural and phenotypical bases that are involved in T cell activation. The artificial methods for T cell activation are then discussed in two grand categories, the soluble (3D) and the surface-anchored (2D) platforms with their design parameters. With the growing number of successful adoptive T cell therapies, the spurring demands for effective and safe T cell expansion as well as precise control over resulting T cell functions and phenotypes warrant the extensions of engineering parameters in the development of novel methodologies for T cell activation.
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16
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Shinde P, Liu W, Ménoret A, Luster AD, Vella AT. Optimal CD4 T cell priming after LPS-based adjuvanticity with CD134 costimulation relies on CXCL9 production. J Leukoc Biol 2017; 102:57-69. [PMID: 28432083 DOI: 10.1189/jlb.1a0616-261rr] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 03/29/2017] [Accepted: 04/02/2017] [Indexed: 12/29/2022] Open
Abstract
LPS is a powerful adjuvant, and although LPS-mediated TLR4 signaling has been exquisitely delineated, the in vivo mechanism of how TLR4 responses impact T cell priming is far less clear. Besides costimulation, TNF and type 1 IFN are dominant cytokines released after TLR4 activation and can shape T cell responses, but other downstream factors have not been examined extensively. Depending on context, we show that IFNαR1 blockade resulted in minor to major effects on specific CD4 T cell clonal expansion. To help explain these differences, it was hypothesized that IFNαR1 blockade would inhibit specific T cell migration by reducing chemokine receptor signaling, but specific CD4 T cells from IFNαR1-blocked mice were readily able to migrate in response to specific chemokines. Next, we examined downstream factors and found that type 1 IFN signaling was necessary for chemokine production, even when mice were immunized with specific Ag with LPS and CD134 costimulation. IFNαR1 signaling promoted CXCL9 and CXCL10 synthesis, suggesting that these chemokines might be involved in the LPS and CD134 costimulation response. After immunization, we show that CXCL9 blockade inhibited CD4 T cell accumulation in the liver but also in LNs, even in the presence of elevated serum IFN-β levels. Thus, whereas type 1 IFN might have direct effects on primed CD4 T cells, the downstream chemokines that play a role during migration also impact accumulation. In sum, CXCL9 production is a key benchmark for productive CD4 T cell vaccination strategies.
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Affiliation(s)
- Paurvi Shinde
- Department of Immunology, School of Medicine, University of Connecticut Health, Farmington, Connecticut, USA
| | - Wenhai Liu
- Department of Immunology, School of Medicine, University of Connecticut Health, Farmington, Connecticut, USA
| | - Antoine Ménoret
- Department of Immunology, School of Medicine, University of Connecticut Health, Farmington, Connecticut, USA.,Institute for Systems Genomics, University of Connecticut School of Medicine, Farmington, Connecticut, USA; and
| | - Andrew D Luster
- Center for Immunology and Inflammatory Diseases, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Anthony T Vella
- Department of Immunology, School of Medicine, University of Connecticut Health, Farmington, Connecticut, USA;
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17
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Abstract
Adoptive transfer of genetically engineered T cells can lead to profound and durable responses in patients with hematologic malignancies, generating enormous enthusiasm among scientists, clinicians, patients, and biotechnology companies. The success of adoptive cellular immunotherapy depends upon the ability to manufacture good quality T cells. We discuss here the methodologies and reagents that are used to generate T cells for the preclinical study of chimeric antigen receptor T cell therapy for acute myeloid leukemia (AML).
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Affiliation(s)
- Saad S Kenderian
- Center for Cellular Immunotherapies, University of Pennsylvania, Philadelphia, PA, USA
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Carl H June
- Center for Cellular Immunotherapies, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Saar Gill
- Center for Cellular Immunotherapies, University of Pennsylvania, Philadelphia, PA, USA.
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, USA.
- Division of Hematology/Oncology, University of Pennsylvania, Philadelphia, PA, USA.
- Division of Hematology/Oncology, Center for Cellular Immunotherapies, Smilow Center for Translational Research, 8-100, 3400 Civic Center Blvd, Philadelphia, PA, 19146, USA.
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18
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Klaver Y, van Steenbergen SCL, Sleijfer S, Debets R, Lamers CHJ. T Cell Maturation Stage Prior to and During GMP Processing Informs on CAR T Cell Expansion in Patients. Front Immunol 2016; 7:648. [PMID: 28082983 PMCID: PMC5183620 DOI: 10.3389/fimmu.2016.00648] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 12/13/2016] [Indexed: 12/31/2022] Open
Abstract
Autologous T cells were genetically modified to express a chimeric antigen receptor (CAR) directed toward carboxy-anhydrase-IX (CAIX) and used to treat patients with CAIX-positive metastatic renal cell carcinoma. In this study, we questioned whether the T cell maturation stage in the pre-infusion product affected CAIX CAR expression and function in vitro as well as in vivo CAR T cell numbers and expansion. During the 14 days expansion of CAR T cells prior to administration, we observed shifts from a predominant CD4 to a CD8 T cell phenotype and from a significant fraction of naïve to central effector T cells. Surface expression of the CAR was equally distributed among different T cell subsets and T cell maturation stages. During T cell culture days 14–18 (which covered patient treatment days 1–5), T cells demonstrated a decline in CAR expression level per cell irrespective of T cell maturation stage, although the proportion of CAR-positive T cells and CAR-mediated T cell effector functions remained similar for both CD4 and CD8 T cell populations. Notably, patients with a higher fraction of naïve CD8 T cells at baseline (prior to genetic modification) or central effector CD8 T cells at 2 weeks of CAR T cell culture demonstrated a higher fold expansion and absolute numbers of circulating CAR T cells at 1 month after start of therapy. We conclude that the T cell maturation stage prior to and during CAR T cell expansion culture is related to in vivo CAR T cell expansion.
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Affiliation(s)
- Yarne Klaver
- Laboratory of Tumor Immunology, Department of Medical Oncology, Erasmus MC-Cancer Institute , Rotterdam , Netherlands
| | - Sabine C L van Steenbergen
- Laboratory of Tumor Immunology, Department of Medical Oncology, Erasmus MC-Cancer Institute , Rotterdam , Netherlands
| | - Stefan Sleijfer
- Department of Medical Oncology, Erasmus MC-Cancer Institute , Rotterdam , Netherlands
| | - Reno Debets
- Laboratory of Tumor Immunology, Department of Medical Oncology, Erasmus MC-Cancer Institute , Rotterdam , Netherlands
| | - Cor H J Lamers
- Laboratory of Tumor Immunology, Department of Medical Oncology, Erasmus MC-Cancer Institute , Rotterdam , Netherlands
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