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Puuvuori E, Shen Y, Hulsart-Billström G, Mitran B, Zhang B, Cheung P, Wegrzyniak O, Ingvast S, Persson J, Ståhl S, Korsgren O, Löfblom J, Wermeling F, Eriksson O. Noninvasive PET Detection of CD69-Positive Immune Cells Before Signs of Clinical Disease in Inflammatory Arthritis. J Nucl Med 2024; 65:294-299. [PMID: 38050119 DOI: 10.2967/jnumed.123.266336] [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] [Received: 07/12/2023] [Revised: 10/10/2023] [Indexed: 12/06/2023] Open
Abstract
Rheumatoid arthritis (RA) is the most common inflammatory joint disease, and early diagnosis is key for effective disease management. CD69 is one of the earliest cell surface markers seen at the surface of activated immune cells, and CD69 is upregulated in synovial tissue in patients with active RA. In this study, we evaluated the performance of a CD69-targeting PET agent, [68Ga]Ga-DOTA-ZCAM241, for early disease detection in a model of inflammatory arthritis. Methods: A model of inflammatory arthritis was induced by transferring splenocytes from KRN T-cell receptor transgenic B6 mice into T-cell-deficient I-Ag7 major histocompatibility complex class II-expressing recipient mice. The mice were examined longitudinally by [68Ga]Ga-DOTA-ZCAM241 PET/CT before and 3, 7, and 12 d after induction of arthritis. Disease progression was monitored by clinical parameters, including measuring body weight and scoring the swelling of the paws. The uptake of [68Ga]Ga-DOTA-ZCAM241 in the paws was analyzed and expressed as SUVmean Tissue biopsy samples were analyzed for CD69 expression by flow cytometry or immunostaining for a histologic correlate. A second group of mice was examined by a nonbinding, size-matched Affibody molecule as the control. Results: Clinical symptoms appeared 5-7 d after induction of arthritis. The uptake of [68Ga]Ga-DOTA-ZCAM241 in the joints was negligible at baseline but increased gradually after disease induction. An elevated PET signal was found on day 3, before the appearance of clinical symptoms. The uptake of [68Ga]Ga-DOTA-ZCAM241 correlated with the clinical score and disease severity. The presence of CD69-positive cells in the joints and lymph nodes was confirmed by flow cytometry and immunostaining. The uptake of the nonbinding tracer that was the negative control also increased gradually with disease progression, although to a lesser extent than with [68Ga]Ga-DOTA-ZCAM241 Conclusion: The uptake of [68Ga]Ga-DOTA-ZCAM241 in the inflamed joints preceded the clinical symptoms in the KRN T-cell transfer model of inflammatory arthritis, in accordance with immunostaining for CD69. [68Ga]Ga-DOTA-ZCAM241 is thus a promising PET imaging marker of activated immune cells in tissue during RA onset.
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Affiliation(s)
- Emmi Puuvuori
- Science for Life Laboratory, Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Yunbing Shen
- Center for Molecular Medicine, Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Gry Hulsart-Billström
- Science for Life Laboratory, Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Bogdan Mitran
- Science for Life Laboratory, Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
- Antaros Medical AB, Mölndal, Sweden
| | - Bo Zhang
- Science for Life Laboratory, Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Pierre Cheung
- Science for Life Laboratory, Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Olivia Wegrzyniak
- Science for Life Laboratory, Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Sofie Ingvast
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; and
| | - Jonas Persson
- Science for Life Laboratory, Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
- Department of Protein Science, Division of Protein Engineering, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Stefan Ståhl
- Department of Protein Science, Division of Protein Engineering, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Olle Korsgren
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; and
| | - John Löfblom
- Department of Protein Science, Division of Protein Engineering, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Fredrik Wermeling
- Center for Molecular Medicine, Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden;
| | - Olof Eriksson
- Science for Life Laboratory, Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden;
- Antaros Medical AB, Mölndal, Sweden
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Fan X, Nijman HW, de Bruyn M, Elsinga PH. ImmunoPET provides a novel way to visualize the CD103 + tissue-resident memory T cell to predict the response of immune checkpoint inhibitors. EJNMMI Res 2024; 14:5. [PMID: 38182929 PMCID: PMC10769965 DOI: 10.1186/s13550-023-01062-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 12/17/2023] [Indexed: 01/07/2024] Open
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) have made significant progress in oncotherapy improving survival of patients. However, the benefits are limited to only a small subgroup of patients who could achieve durable responses. Early prediction of response may enable treatment optimization and patient stratification. Therefore, developing appropriate biomarkers is critical to monitoring efficacy and assessing patient response to ICIs. MAIN BODY Herein, we first introduce a new potential biomarker, CD103, expressed on tissue-resident memory T cells, and discuss the potential application of CD103 PET imaging in predicting immune checkpoint inhibitor treatment. In addition, we describe the current targets of ImmunoPET and compare these targets with CD103. To assess the benefit of PET imaging, a comparative analysis between ImmunoPET and other imaging techniques commonly employed for tumor diagnosis was performed. Additionally, we compare ImmunoPET and immunohistochemistry (IHC), a widely utilized clinical method for biomarker identification with respect to visualizing the immune targets. CONCLUSION CD103 ImmunoPET is a promising method for determining tumor-infiltrating lymphocytes (TILs) load and response to ICIs, thereby addressing the lack of reliable biomarkers in cancer immunotherapy. Compared to general T cell markers, CD103 is a specific marker for tissue-resident memory T cells, which number increases during successful ICI therapy. ImmunoPET offers noninvasive, dynamic imaging of specific markers, complemented by detailed molecular information from immunohistochemistry (IHC). Radiomics can extract quantitative features from traditional imaging methods, while near-infrared fluorescence (NIRF) imaging aids tumor detection during surgery. In the era of precision medicine, combining such methods will offer a more comprehensive approach to cancer diagnosis and treatment.
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Affiliation(s)
- Xiaoyu Fan
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Hans W Nijman
- Department of Obstetrics and Gynecology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Marco de Bruyn
- Department of Obstetrics and Gynecology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Philip H Elsinga
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
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Wagner TR, Blaess S, Leske IB, Frecot DI, Gramlich M, Traenkle B, Kaiser PD, Seyfried D, Maier S, Rezza A, Sônego F, Thiam K, Pezzana S, Zeck A, Gouttefangeas C, Scholz AM, Nueske S, Maurer A, Kneilling M, Pichler BJ, Sonanini D, Rothbauer U. Two birds with one stone: human SIRPα nanobodies for functional modulation and in vivo imaging of myeloid cells. Front Immunol 2023; 14:1264179. [PMID: 38164132 PMCID: PMC10757926 DOI: 10.3389/fimmu.2023.1264179] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/20/2023] [Indexed: 01/03/2024] Open
Abstract
Signal-regulatory protein α (SIRPα) expressed by myeloid cells is of particular interest for therapeutic strategies targeting the interaction between SIRPα and the "don't eat me" ligand CD47 and as a marker to monitor macrophage infiltration into tumor lesions. To address both approaches, we developed a set of novel human SIRPα (hSIRPα)-specific nanobodies (Nbs). We identified high-affinity Nbs targeting the hSIRPα/hCD47 interface, thereby enhancing antibody-dependent cellular phagocytosis. For non-invasive in vivo imaging, we chose S36 Nb as a non-modulating binder. By quantitative positron emission tomography in novel hSIRPα/hCD47 knock-in mice, we demonstrated the applicability of 64Cu-hSIRPα-S36 Nb to visualize tumor infiltration of myeloid cells. We envision that the hSIRPα-Nbs presented in this study have potential as versatile theranostic probes, including novel myeloid-specific checkpoint inhibitors for combinatorial treatment approaches and for in vivo stratification and monitoring of individual responses during cancer immunotherapies.
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Affiliation(s)
- Teresa R. Wagner
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
- Pharmaceutical Biotechnology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Simone Blaess
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of Tübingen, Tübingen, Germany
| | - Inga B. Leske
- Pharmaceutical Biotechnology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Desiree I. Frecot
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
- Pharmaceutical Biotechnology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Marius Gramlich
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Bjoern Traenkle
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Philipp D. Kaiser
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Dominik Seyfried
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) partner site Tübingen, Tübingen, Germany
| | - Sandra Maier
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Amélie Rezza
- Preclinical Models & Services, genOway, Lyon, France
| | | | - Kader Thiam
- Preclinical Models & Services, genOway, Lyon, France
| | - Stefania Pezzana
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of Tübingen, Tübingen, Germany
| | - Anne Zeck
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Cécile Gouttefangeas
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) partner site Tübingen, Tübingen, Germany
- Department of Immunology, Institute of Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Armin M. Scholz
- Livestock Center of the Faculty of Veterinary Medicine, Ludwig Maximilians University Munich, Oberschleissheim, Germany
| | - Stefan Nueske
- Livestock Center of the Faculty of Veterinary Medicine, Ludwig Maximilians University Munich, Oberschleissheim, Germany
| | - Andreas Maurer
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Manfred Kneilling
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
- Department of Dermatology, University of Tübingen, Tübingen, Germany
| | - Bernd J. Pichler
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ) partner site Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
| | - Dominik Sonanini
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of Tübingen, Tübingen, Germany
- Department of Medical Oncology and Pneumology, University of Tübingen, Tübingen, Germany
| | - Ulrich Rothbauer
- Pharmaceutical Biotechnology, Eberhard Karls University Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, Tübingen, Germany
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Cheng X, Shen J, Xu J, Zhu J, Xu P, Wang Y, Gao M. In vivo clinical molecular imaging of T cell activity. Trends Immunol 2023; 44:1031-1045. [PMID: 37932176 DOI: 10.1016/j.it.2023.10.002] [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: 09/21/2023] [Revised: 10/07/2023] [Accepted: 10/09/2023] [Indexed: 11/08/2023]
Abstract
Tumor immunotherapy is refashioning traditional treatments in the clinic for certain tumors, especially by relying on the activation of T cells. However, the safety and effectiveness of many antitumor immunotherapeutic agents are suboptimal due to difficulties encountered in assessing T cell responses and adjusting treatment regimens accordingly. Here, we review advances in the clinical visualization of T cell activity in vivo, and focus particularly on molecular imaging probes and biomarkers of T cell activation. Current challenges and prospects are also discussed that aim to achieve a better strategy for real-time monitoring of T cell activity, predicting prognoses and responses to tumor immunotherapy, and assessing disease management.
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Affiliation(s)
- Xiaju Cheng
- Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, PR China
| | - Jiahao Shen
- Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, PR China
| | - Jingwei Xu
- Department of Cardiothoracic Surgery, Suzhou Municipal Hospital Institution, Suzhou 215000, PR China.
| | - Jinfeng Zhu
- Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, PR China
| | - Pei Xu
- Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, PR China
| | - Yong Wang
- Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, PR China.
| | - Mingyuan Gao
- Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, PR China.
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5
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Leo I, Vidula M, Bisaccia G, Procopio MC, Licordari R, Perotto M, La Vecchia G, Miaris N, Bravo PE, Bucciarelli-Ducci C. The Role of Advanced Cardiovascular Imaging Modalities in Cardio-Oncology: From Early Detection to Unravelling Mechanisms of Cardiotoxicity. J Clin Med 2023; 12:4945. [PMID: 37568347 PMCID: PMC10419705 DOI: 10.3390/jcm12154945] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/19/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023] Open
Abstract
Advances in cancer therapies have led to a global improvement in patient survival rates. Nevertheless, the price to pay is a concomitant increase in cardiovascular (CV) morbidity and mortality in this population. Increased inflammation and disturbances of the immune system are shared by both cancer and CV diseases. Immunological effects of anti-cancer treatments occur with both conventional chemotherapy and, to a greater extent, with novel biological therapies such as immunotherapy. For these reasons, there is growing interest in the immune system and its potential role at the molecular level in determining cardiotoxicity. Early recognition of these detrimental effects could help in identifying patients at risk and improve their oncological management. Non-invasive imaging already plays a key role in evaluating baseline CV risk and in detecting even subclinical cardiac dysfunction during surveillance. The aim of this review is to highlight the role of advanced cardiovascular imaging techniques in the detection and management of cardiovascular complications related to cancer treatment.
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Affiliation(s)
- Isabella Leo
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy
| | - Mahesh Vidula
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA (P.E.B.)
- Divisions of Nuclear Medicine and Cardiothoracic Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Giandomenico Bisaccia
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Maria Cristina Procopio
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
- Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy
| | - Roberto Licordari
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
- Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, 98122 Messina, Italy
| | - Maria Perotto
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
| | - Giulia La Vecchia
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
- Department of Cardiovascular and Pulmonary Science, Catholic University of Sacred Heart, 00168 Rome, Italy
| | - Nikolaos Miaris
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
| | - Paco E. Bravo
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA (P.E.B.)
- Divisions of Nuclear Medicine and Cardiothoracic Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Chiara Bucciarelli-Ducci
- Royal Brompton and Harefield Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; (I.L.)
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King’s College London, London WC2R 2LS, UK
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Nisnboym M, Vincze SR, Xiong Z, Sneiderman CT, Raphael RA, Li B, Jaswal AP, Sever RE, Day KE, LaToche JD, Foley LM, Karimi H, Hitchens TK, Agnihotri S, Hu B, Rajasundaram D, Anderson CJ, Blumenthal DT, Pearce TM, Uttam S, Nedrow JR, Panigrahy A, Pollack IF, Lieberman FS, Drappatz J, Raphael I, Edwards WB, Kohanbash G. Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma. Cancer Res Commun 2023; 3:1173-1188. [PMID: 37426447 PMCID: PMC10324623 DOI: 10.1158/2767-9764.crc-22-0434] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 03/19/2023] [Accepted: 06/06/2023] [Indexed: 07/11/2023]
Abstract
Glioblastoma (GBM) is the most common and malignant primary brain tumor in adults. Immunotherapy may be promising for the treatment of some patients with GBM; however, there is a need for noninvasive neuroimaging techniques to predict immunotherapeutic responses. The effectiveness of most immunotherapeutic strategies requires T-cell activation. Therefore, we aimed to evaluate an early marker of T-cell activation, CD69, for its use as an imaging biomarker of response to immunotherapy for GBM. Herein, we performed CD69 immunostaining on human and mouse T cells following in vitro activation and post immune checkpoint inhibitors (ICI) in an orthotopic syngeneic mouse glioma model. CD69 expression on tumor-infiltrating leukocytes was assessed using single-cell RNA sequencing (scRNA-seq) data from patients with recurrent GBM receiving ICI. Radiolabeled CD69 Ab PET/CT imaging (CD69 immuno-PET) was performed on GBM-bearing mice longitudinally to quantify CD69 and its association with survival following immunotherapy. We show CD69 expression is upregulated upon T-cell activation and on tumor-infiltrating lymphocytes (TIL) in response to immunotherapy. Similarly, scRNA-seq data demonstrated elevated CD69 on TILs from patients with ICI-treated recurrent GBM as compared with TILs from control cohorts. CD69 immuno-PET studies showed a significantly higher tracer uptake in the tumors of ICI-treated mice compared with controls. Importantly, we observed a positive correlation between survival and CD69 immuno-PET signals in immunotherapy-treated animals and established a trajectory of T-cell activation by virtue of CD69-immuno-PET measurements. Our study supports the potential use of CD69 immuno-PET as an immunotherapy response assessment imaging tool for patients with GBM. Significance Immunotherapy may hold promise for the treatment of some patients with GBM. There is a need to assess therapy responsiveness to allow the continuation of effective treatment in responders and to avoid ineffective treatment with potential adverse effects in the nonresponders. We demonstrate that noninvasive PET/CT imaging of CD69 may allow early detection of immunotherapy responsiveness in patients with GBM.
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Affiliation(s)
- Michal Nisnboym
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Neurology, Tel-Aviv Sourasky Medical Center, Tel-Aviv University, Tel-Aviv, Israel
| | - Sarah R. Vincze
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Zujian Xiong
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Chaim T. Sneiderman
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Rebecca A. Raphael
- Department of Computational and Systems Biology, UPMC Hillman Cancer Center, Cancer Biology Program, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Bo Li
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Ambika P. Jaswal
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - ReidAnn E. Sever
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Kathryn E. Day
- In Vivo Imaging Facility, University of Pittsburgh Medical Center, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Joseph D. LaToche
- In Vivo Imaging Facility, University of Pittsburgh Medical Center, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Lesley M. Foley
- In Vivo Imaging Facility, University of Pittsburgh Medical Center, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Hanieh Karimi
- Department of Biochemistry, University of Missouri, Columbia, Missouri
| | - T. Kevin Hitchens
- In Vivo Imaging Facility, University of Pittsburgh Medical Center, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Sameer Agnihotri
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Baoli Hu
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Dhivyaa Rajasundaram
- Division of Health Informatics, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Deborah T. Blumenthal
- Neuro-oncology Division, Tel-Aviv Sourasky Medical Center, Tel-Aviv University, Tel-Aviv, Israel
| | - Thomas M. Pearce
- Division of Neuropathology, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Shikhar Uttam
- Department of Computational and Systems Biology, UPMC Hillman Cancer Center, Cancer Biology Program, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jessie R. Nedrow
- In Vivo Imaging Facility, University of Pittsburgh Medical Center, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Ashok Panigrahy
- Department of Radiology, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Ian F. Pollack
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Frank S. Lieberman
- Neuro-oncology Program, Division of Hematology/Oncology, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Jan Drappatz
- Neuro-oncology Program, Division of Hematology/Oncology, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Itay Raphael
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Wilson B. Edwards
- Department of Biochemistry, University of Missouri, Columbia, Missouri
| | - Gary Kohanbash
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania
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Gu GJ, Chung H, Park JY, Yoo R, Im HJ, Choi H, Lee YS, Seok SH. Mannosylated-serum albumin nanoparticle imaging to monitor tumor-associated macrophages under anti-PD1 treatment. J Nanobiotechnology 2023; 21:31. [PMID: 36707872 PMCID: PMC9881286 DOI: 10.1186/s12951-023-01791-9] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 01/21/2023] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Immune checkpoint inhibitors such as anti-programmed cell death protein 1 (PD1) block tumor growth by reinvigorating the immune system; however, determining their efficacy only by the changes in tumor size may prove inaccurate. As the immune cells including macrophages in the tumor microenvironment (TME) are associated with the response to anti-PD1 therapy, tumor-associated macrophages (TAMs) imaging using nanoparticles can noninvasively provide the immune enrichment status of TME. Herein, the mannosylated-serum albumin (MSA) nanoparticle was labeled with radioactive isotope 68Ga to target the mannose receptors on macrophages for noninvasive monitoring of the TME according to anti-PD1 therapy. RESULTS B16F10-Luc and MC38-Luc tumor-bearing mice were treated with anti-PD1, and the response to anti-PD1 was determined by the tumor volume. According to the flow cytometry, the responders to anti-PD1 showed an increased proportion of TAMs, as well as lymphocytes, and the most enriched immune cell population in the TME was also TAMs. For noninvasive imaging of TAMs as a surrogate of immune cell augmentation in the TME via anti-PD1, we acquired [68Ga] Ga-MSA positron emission tomography. According to the imaging study, an increased number of TAMs in responders at the early phase of anti-PD1 treatment was observed in both B16F10-Luc and MC38-Luc tumor-bearing mice models. CONCLUSION As representative immune cells in the TME, non-invasive imaging of TAMs using MSA nanoparticles can reflect the immune cell enrichment status in the TME closely associated with the response to anti-PD1. As non-invasive imaging using MSA nanoparticles, this approach shows a potential to monitor and evaluate anti-tumor response to immune checkpoint inhibitors.
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Affiliation(s)
- Gyo Jeong Gu
- grid.31501.360000 0004 0470 5905Macrophage Laboratory, Department of Microbiology and Immunology, Institute of Endemic Disease, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyewon Chung
- grid.31501.360000 0004 0470 5905Macrophage Laboratory, Department of Microbiology and Immunology, Institute of Endemic Disease, Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Bio-MAX Institute, Seoul National University, Seoul, Republic of Korea
| | - Ji Yong Park
- grid.31501.360000 0004 0470 5905Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Dental Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Ranji Yoo
- grid.31501.360000 0004 0470 5905Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.412484.f0000 0001 0302 820X Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hyung-Jun Im
- grid.31501.360000 0004 0470 5905Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hongyoon Choi
- grid.31501.360000 0004 0470 5905Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Radiation Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.412484.f0000 0001 0302 820XDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yun-Sang Lee
- grid.31501.360000 0004 0470 5905Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Radiation Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seung Hyeok Seok
- grid.31501.360000 0004 0470 5905Macrophage Laboratory, Department of Microbiology and Immunology, Institute of Endemic Disease, Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
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Abstract
The adaptive immune response plays a critical role in detecting, eliminating, and creating a memory toward foreign pathogens and malignant cells. Demonstration of the specific and effective target killing of T cells in cancer has reignited interest in the study and therapeutic manipulation of the interaction between tumor and immune system. To both improve therapeutic efficacy and reduce adverse events, accurate monitoring of the activation of T cells is required. Several approaches to monitoring not just the presence, but importantly the activation, of T cells have been developed. Here, we review the recent advances in T-cell activation imaging and future directions for potential implementation into clinical utility.
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Affiliation(s)
- Mohammad O. Sako
- Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama;,O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama; and,Graduate Biomedical Science Program, University of Alabama at Birmingham, Birmingham, Alabama
| | - Benjamin M. Larimer
- Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama;,O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama; and
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Xue Y, Wang B, Tao Y, Xia J, Yuan K, Zheng J, Zhai W, Xue W. Patient-derived organoids potentiate precision medicine in advanced clear cell renal cell carcinoma. Precis Clin Med 2022; 5:pbac028. [PMID: 36544542 PMCID: PMC9762875 DOI: 10.1093/pcmedi/pbac028] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 11/17/2022] [Indexed: 12/12/2022] Open
Abstract
To investigate the role of patient-derived organoid (PDO) model in the precision medicine of advanced clear cell renal cell carcinoma (ccRCC), we retrospectively analyzed the clinical data of seven cases of ccRCC diagnosed by operation and pathology in Renji Hospital from September 2021 to September 2022. The seven patients were diagnosed with advanced ccRCC with or without remote metastasis. Cytoreductive and radical nephrectomy was performed respectively. To predict the response to immunotherapy and provide personalized medicine recommendation, a PDO model based on air-liquid interface system was established from the surgical resected tumor and subsequent drug screening was performed. Hematoxylin and eosin (H&E) staining and immunohistochemistry revealed that the PDO recapitulated the histological feature of parent tumor. Immunofluorescence staining identified that CD3+ T cells, SMA+ cancer associated fibroblasts, and CD31+ endothelial cells were preserved in PDO models. Fluorescence activated cell sorter (FACS) revealed an evidently increased ratio of CD8+/CD4+ T cells and apoptotic tumor cells in PDO treated with toripalimab than those treated with IgG4. The results showed that toripalimab is able to rescue the excessive death of CD8+ T cells by critically reversing the immune exhaustion state of ccRCC in PDO model. This research validated that PDO is a promising and faithful preclinical model for prediction of immunotherapy response in patients with ccRCC.
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Affiliation(s)
| | | | | | - Jun Xia
- Department of Pathology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Kedi Yuan
- Ottawa-Shanghai Joint School of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
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