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Jeon D, Hill E, McNeel DG. Toll-like receptor agonists as cancer vaccine adjuvants. Hum Vaccin Immunother 2024; 20:2297453. [PMID: 38155525 PMCID: PMC10760790 DOI: 10.1080/21645515.2023.2297453] [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: 10/04/2023] [Accepted: 12/16/2023] [Indexed: 12/30/2023] Open
Abstract
Cancer immunotherapy has emerged as a promising strategy to treat cancer patients. Among the wide range of immunological approaches, cancer vaccines have been investigated to activate and expand tumor-reactive T cells. However, most cancer vaccines have not shown significant clinical benefit as monotherapies. This is likely due to the antigen targets of vaccines, "self" proteins to which there is tolerance, as well as to the immunosuppressive tumor microenvironment. To help circumvent immune tolerance and generate effective immune responses, adjuvants for cancer vaccines are necessary. One representative adjuvant family is Toll-Like receptor (TLR) agonists, synthetic molecules that stimulate TLRs. TLRs are the largest family of pattern recognition receptors (PRRs) that serve as the sensors of pathogens or cellular damage. They recognize conserved foreign molecules from pathogens or internal molecules from cellular damage and propel innate immune responses. When used with vaccines, activation of TLRs signals an innate damage response that can facilitate the development of a strong adaptive immune response against the target antigen. The ability of TLR agonists to modulate innate immune responses has positioned them to serve as adjuvants for vaccines targeting infectious diseases and cancers. This review provides a summary of various TLRs, including their expression patterns, their functions in the immune system, as well as their ligands and synthetic molecules developed as TLR agonists. In addition, it presents a comprehensive overview of recent strategies employing different TLR agonists as adjuvants in cancer vaccine development, both in pre-clinical models and ongoing clinical trials.
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Affiliation(s)
- Donghwan Jeon
- Department of Oncology, University of Wisconsin Carbone Cancer Center, Madison, WI, USA
| | - Ethan Hill
- Department of Medicine, University of Wisconsin Carbone Cancer Center, Madison, WI, USA
| | - Douglas G. McNeel
- Department of Medicine, University of Wisconsin Carbone Cancer Center, Madison, WI, USA
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2
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Hao Z, Xin Z, Chen Y, Shao Z, Lin W, Wu W, Lin M, Liu Q, Chen D, Wu D, Wu P. JAML promotes the antitumor role of tumor-resident CD8 + T cells by facilitating their innate-like function in human lung cancer. Cancer Lett 2024; 590:216839. [PMID: 38570084 DOI: 10.1016/j.canlet.2024.216839] [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: 12/06/2023] [Revised: 03/25/2024] [Accepted: 03/27/2024] [Indexed: 04/05/2024]
Abstract
Tissue-resident memory CD8+T cells (CD8+TRMs) are thought to play a crucial role in cancer immunosurveillance. However, the characteristics of CD8+TRMs in the tumor microenvironment (TME) of human non-small cell lung cancer (NSCLC) remain unclear. Here, we report that CD8+TRMs accumulate explicitly and exhibit a unique gene expression profile in the TME of NSCLC. Interestingly, these tumor-associated CD8+TRMs uniquely exhibit an innate-like phenotype. Importantly, we found that junction adhesion molecule-like (JAML) provides an alternative costimulatory signal to activate tumor-associated CD8+TRMs via combination with cancer cell-derived CXADR (CXADR Ig-like cell adhesion molecule). Furthermore, we demonstrated that activating JAML could promote the expression of TLR1/2 on CD8+TRMs, inhibit tumor progression and prolong the survival of tumor-bearing mice. Finally, we found that higher CD8+TRMs and JAML expression in the TME could predict favorable clinical outcomes in NSCLC patients. Our study reveals an intrinsic bias of CD8+TRMs for receiving the tumor-derived costimulatory signal in the TME, which sustains their innate-like function and antitumor role. These findings will shed more light on the biology of CD8+TRMs and aid in the development of potential targeted treatment strategies for NSCLC.
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Affiliation(s)
- Zhixing Hao
- Department of Thoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China; Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Zhongwei Xin
- Department of Thoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China; Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Yongyuan Chen
- Department of Thoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China; Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Zheyu Shao
- Department of Thoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China; Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Wei Lin
- Department of Thoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Wenxuan Wu
- Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China; Department of Gastrointestinal Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Mingjie Lin
- Department of Thoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China; Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Qinyuan Liu
- Department of Thoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China; Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Di Chen
- Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China; Department of Radiation Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China
| | - Dang Wu
- Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China; Department of Radiation Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China.
| | - Pin Wu
- Department of Thoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China; Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China.
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Jeon D, Hill E, Moseman JE, McNeel DG. Combining toll-like receptor agonists with immune checkpoint blockade affects antitumor vaccine efficacy. J Immunother Cancer 2024; 12:e008799. [PMID: 38702146 PMCID: PMC11086196 DOI: 10.1136/jitc-2024-008799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND T cell checkpoint receptors are expressed when T cells are activated, and modulation of the expression or signaling of these receptors can alter the function of T cells and their antitumor efficacy. We previously found that T cells activated with cognate antigen had increases in the expression of PD-1, and this was attenuated in the presence of multiple toll-like receptor (TLR) agonists, notably TLR3 plus TLR9. In the current report, we sought to investigate whether combining TLR agonists with immune checkpoint blockade can further augment vaccine-mediated T cell antitumor immunity in murine tumor models. METHODS TLR agonists (TLR3 plus TLR9) and immune checkpoint inhibitors (antibodies targeting PD-1, CTLA-4, LAG-3, TIM-3 or VISTA) were combined and delivered with vaccines or vaccine-activated CD8+T cells to E.G7-OVA or MyC-CaP tumor-bearing mice. Tumors were assessed for growth and then collected and analyzed by flow cytometry. RESULTS Immunization of E.G7-OVA tumor-bearing mice with SIINFEKL peptide vaccine, coadministered with TLR agonists and αCTLA-4, demonstrated greater antitumor efficacy than immunization with TLR agonists or αCTLA-4 alone. Conversely, the antitumor efficacy was abrogated when vaccine and TLR agonists were combined with αPD-1. TLR agonists suppressed PD-1 expression on regulatory T cells (Tregs) and activated this population. Depletion of Tregs in tumor-bearing mice led to greater antitumor efficacy of this combination therapy, even in the presence of αPD-1. Combining vaccination with TLR agonists and αCTLA-4 or αLAG-3 showed greater antitumor than with combinations with αTIM-3 or αVISTA. CONCLUSION The combination of TLR agonists and αCTLA-4 or αLAG-3 can further improve the efficacy of a cancer vaccine, an effect not observed using αPD-1 due to activation of Tregs when αPD-1 was combined with TLR3 and TLR9 agonists. These data suggest that optimal combinations of TLR agonists and immune checkpoint blockade may improve the efficacy of human anticancer vaccines.
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Affiliation(s)
- Donghwan Jeon
- Cancer Biology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Ethan Hill
- Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Jena E Moseman
- Cancer Biology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Douglas G McNeel
- Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA
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Usaite I, Biswas D, Dijkstra K, Watkins TB, Pich O, Puttick C, Angelova M, Thakkar K, Hiley C, Birkbak N, Kok M, Zaccaria S, Wu Y, Litchfield K, Swanton C, Kanu N. Quantifying the impact of immunotherapy on RNA dynamics in cancer. J Immunother Cancer 2023; 11:e007870. [PMID: 37914385 PMCID: PMC10626770 DOI: 10.1136/jitc-2023-007870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/05/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND Checkpoint inhibitor (CPI) immunotherapies have provided durable clinical responses across a range of solid tumor types for some patients with cancer. Nonetheless, response rates to CPI vary greatly between cancer types. Resolving intratumor transcriptomic changes induced by CPI may improve our understanding of the mechanisms of sensitivity and resistance. METHODS We assembled a cohort of longitudinal pre-therapy and on-therapy samples from 174 patients treated with CPI across six cancer types by leveraging transcriptomic sequencing data from five studies. RESULTS Meta-analyses of published RNA markers revealed an on-therapy pattern of immune reinvigoration in patients with breast cancer, which was not discernible pre-therapy, providing biological insight into the impact of CPI on the breast cancer immune microenvironment. We identified 98 breast cancer-specific correlates of CPI response, including 13 genes which are known IO targets, such as toll-like receptors TLR1, TLR4, and TLR8, that could hold potential as combination targets for patients with breast cancer receiving CPI treatment. Furthermore, we demonstrate that a subset of response genes identified in breast cancer are already highly expressed pre-therapy in melanoma, and additionally we establish divergent RNA dynamics between breast cancer and melanoma following CPI treatment, which may suggest distinct immune microenvironments between the two cancer types. CONCLUSIONS Overall, delineating longitudinal RNA dynamics following CPI therapy sheds light on the mechanisms underlying diverging response trajectories, and identifies putative targets for combination therapy.
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Affiliation(s)
- Ieva Usaite
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Dhruva Biswas
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Bill Lyons Informatics Centre, University College London Cancer Institute, London, UK
| | - Krijn Dijkstra
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Department of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Thomas Bk Watkins
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Oriol Pich
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Clare Puttick
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Mihaela Angelova
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Krupa Thakkar
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Tumour Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, London, UK
| | - Crispin Hiley
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Nicolai Birkbak
- Department of Molecular Medicine, Aarhus Universitet, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus Universitet, Aarhus, Denmark
| | - Marleen Kok
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Yin Wu
- Department of Medical Oncology, Guy's and St. Thomas' NHS Foundation Trust, London, UK
- Peter Gorer Department of Immunobiology and Centre for Inflammation Biology and Cancer Immunology, King's College London, London, UK
| | - Kevin Litchfield
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Tumour Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, London, UK
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Nnennaya Kanu
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
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5
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Quantitative assessment of mitophagy in irradiated cancer cells. Methods Cell Biol 2023; 174:93-111. [PMID: 36710054 DOI: 10.1016/bs.mcb.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Mitophagy is a finely regulated mechanism through which eukaryotic cells selectively dispose of supernumerary, permeabilized or otherwise damaged mitochondria through lysosomal degradation. Dysfunctional mitochondria are prone to release potentially cytotoxic factors including reactive oxygen species (ROS) and caspase activators, such as cytochrome c, somatic (CYCS). Thus, proficient mitophagic responses mediate prominent cytoprotective functions. Moreover, the rapid degradation of permeabilized mitochondria limits the release of mitochondrial components that may drive inflammatory reactions, such as mitochondrial DNA (mtDNA) and transcription factor A, mitochondrial (TFAM), implying that mitophagy also mediates potent anti-inflammatory effects. Here, we detail a simple, flow cytometry-assisted protocol for the specific measurement of mitophagic responses as driven by radiation therapy (RT) in mouse hormone receptor (HR)+ mammary carcinoma TS/A cells. With some variations, this method - which relies on the mitochondria-restricted expression of a fluorescent reporter that is sensitive to pH and hence changes excitation wavelength within lysosomes (mt-mKeima) - can be adapted to a variety of human and mouse cancer cell lines and/or straightforwardly implemented on fluorescence microscopy platforms.
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6
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Laureano RS, Sprooten J, Vanmeerbeerk I, Borras DM, Govaerts J, Naulaerts S, Berneman ZN, Beuselinck B, Bol KF, Borst J, Coosemans A, Datsi A, Fučíková J, Kinget L, Neyns B, Schreibelt G, Smits E, Sorg RV, Spisek R, Thielemans K, Tuyaerts S, De Vleeschouwer S, de Vries IJM, Xiao Y, Garg AD. Trial watch: Dendritic cell (DC)-based immunotherapy for cancer. Oncoimmunology 2022; 11:2096363. [PMID: 35800158 PMCID: PMC9255073 DOI: 10.1080/2162402x.2022.2096363] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Dendritic cell (DC)-based vaccination for cancer treatment has seen considerable development over recent decades. However, this field is currently in a state of flux toward niche-applications, owing to recent paradigm-shifts in immuno-oncology mobilized by T cell-targeting immunotherapies. DC vaccines are typically generated using autologous (patient-derived) DCs exposed to tumor-associated or -specific antigens (TAAs or TSAs), in the presence of immunostimulatory molecules to induce DC maturation, followed by reinfusion into patients. Accordingly, DC vaccines can induce TAA/TSA-specific CD8+/CD4+ T cell responses. Yet, DC vaccination still shows suboptimal anti-tumor efficacy in the clinic. Extensive efforts are ongoing to improve the immunogenicity and efficacy of DC vaccines, often by employing combinatorial chemo-immunotherapy regimens. In this Trial Watch, we summarize the recent preclinical and clinical developments in this field and discuss the ongoing trends and future perspectives of DC-based immunotherapy for oncological indications.
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Affiliation(s)
- Raquel S Laureano
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jenny Sprooten
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Isaure Vanmeerbeerk
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Daniel M Borras
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jannes Govaerts
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Stefan Naulaerts
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Zwi N Berneman
- Department of Haematology, Antwerp University Hospital, Edegem, Belgium
- Vaccine and Infectious Disease Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- Center for Cell Therapy and Regenerative Medicine, Antwerp University Hospital, Edegem, Belgium
| | | | - Kalijn F Bol
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences; Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Medical Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jannie Borst
- Department of Immunology and Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands
| | - an Coosemans
- Department of Oncology, Laboratory of Tumor Immunology and Immunotherapy, ImmunOvar Research Group, Ku Leuven, Leuven Cancer Institute, Leuven, Belgium
| | - Angeliki Datsi
- Institute for Transplantation Diagnostics and Cell Therapeutics, Heinrich-Heine University, Düsseldorf, Germany
| | - Jitka Fučíková
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Lisa Kinget
- Department of General Medical Oncology, UZ Leuven, Leuven, Belgium
| | - Bart Neyns
- Department of Medical Oncology, UZ Brussel, Brussels, Belgium
| | - Gerty Schreibelt
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences; Radboud University Medical Center, Nijmegen, The Netherlands
| | - Evelien Smits
- Center for Cell Therapy and Regenerative Medicine, Antwerp University Hospital, Edegem, Belgium
- Center for Oncological Research, Integrated Personalized and Precision Oncology Network, University of Antwerp, Wilrijk, Belgium
| | - Rüdiger V Sorg
- Institute for Transplantation Diagnostics and Cell Therapeutics, Heinrich-Heine University, Düsseldorf, Germany
| | - Radek Spisek
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Kris Thielemans
- Laboratory of Molecular and Cellular Therapy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Sandra Tuyaerts
- Department of Medical Oncology, UZ Brussel, Brussels, Belgium
- Laboratory of Medical and Molecular Oncology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Steven De Vleeschouwer
- Research Group Experimental Neurosurgery and Neuroanatomy, KU Leuven, Leuven, Belgium
- Department of Neurosurgery, UZ Leuven, Leuven, Belgium
| | - I Jolanda M de Vries
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences; Radboud University Medical Center, Nijmegen, The Netherlands
| | - Yanling Xiao
- Department of Immunology and Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands
| | - Abhishek D Garg
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
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