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Besson FL, Nocturne G, Noël N, Gheysens O, Slart RHJA, Glaudemans AWJM. PET/CT in Inflammatory and Auto-immune Disorders: Focus on Several Key Molecular Concepts, FDG, and Radiolabeled Probe Perspectives. Semin Nucl Med 2024; 54:379-393. [PMID: 37973447 DOI: 10.1053/j.semnuclmed.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 11/19/2023]
Abstract
Chronic immune diseases mainly include autoimmune and inflammatory diseases. Managing chronic inflammatory and autoimmune diseases has become a significant public health concern, and therapeutic advancements over the past 50 years have been substantial. As therapeutic tools continue to multiply, the challenge now lies in providing each patient with personalized care tailored to the specifics of their condition, ushering in the era of personalized medicine. Precise and holistic imaging is essential in this context to comprehensively map the inflammatory processes in each patient, identify prognostic factors, and monitor treatment responses and complications. Imaging of patients with inflammatory and autoimmune diseases must provide a comprehensive view of the body, enabling the whole-body mapping of systemic involvement. It should identify key cellular players in the pathology, involving both innate immunity (dendritic cells, macrophages), adaptive immunity (lymphocytes), and microenvironmental cells (stromal cells, tissue cells). As a highly sensitive imaging tool with vectorized molecular probe capabilities, PET/CT can be of high relevance in the management of numerous inflammatory and autoimmune diseases. Relying on key molecular concepts of immunity, the clinical usefulness of FDG-PET/CT in several relevant inflammatory and immune-inflammatory conditions, validated or emerging, will be discussed in this review, together with radiolabeled probe perspectives.
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Affiliation(s)
- Florent L Besson
- Department of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING, CHU Bicêtre, Paris, France; Université Paris-Saclay, School of Medicine, Le Kremlin-Bicêtre, France; Université Paris-Saclay, Commissariat à l'énergie Atomique et aux Énergies Alternatives (CEA), Centre National de la Recherche Scientifique (CNRS), INSERM, BioMaps, Le Kremlin-Bicêtre, France.
| | - Gaetane Nocturne
- Université Paris-Saclay, School of Medicine, Le Kremlin-Bicêtre, France; Department of Rheumatology, Hôpital Bicêtre Assistance Publique -Hôpitaux de Paris, Le Kremlin-Bicêtre, France; Center for Immunology of Viral Infections and Auto-Immune Diseases (IMVA), Université Paris-Saclay, Institut pour la Santé et la Recherche Médicale (INSERM) UMR 1184, Le Kremlin Bicêtre, Paris, France
| | - Nicolas Noël
- Université Paris-Saclay, School of Medicine, Le Kremlin-Bicêtre, France; Center for Immunology of Viral Infections and Auto-Immune Diseases (IMVA), Université Paris-Saclay, Institut pour la Santé et la Recherche Médicale (INSERM) UMR 1184, Le Kremlin Bicêtre, Paris, France; Department of Internal Medicine, Hôpital Bicêtre Assistance Publique -Hôpitaux de Paris, Le Kremlin-Bicêtre, Paris, France
| | - Olivier Gheysens
- Department of Nuclear Medicine, Cliniques Universitaires St-Luc and Institute for Experimental and Clinical Research (IREC), Université Catholique de Louvain, Brussels, Belgium
| | - Riemer H J A Slart
- Department of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands; Biomedical Photonic Imaging Group, Faculty of Science and Technology, University of Twente, Enschede, The Netherlands
| | - Andor W J M Glaudemans
- Department of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands
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Minohara K, Imai M, Matoba T, Wing JB, Shime H, Odanaka M, Uraki R, Kawakita D, Toyama T, Takahashi S, Morita A, Murakami S, Ohkura N, Sakaguchi S, Iwasaki S, Yamazaki S. Mature dendritic cells enriched in regulatory molecules may control regulatory T cells and the prognosis of head and neck cancer. Cancer Sci 2022; 114:1256-1269. [PMID: 36529525 PMCID: PMC10067395 DOI: 10.1111/cas.15698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 12/04/2022] [Accepted: 12/10/2022] [Indexed: 12/23/2022] Open
Abstract
We previously reported that regulatory T (Treg) cells expressing CTLA-4 on the cell surface are abundant in head and neck squamous cell carcinoma (HNSCC). The role of expanded Treg cells in the tumor microenvironment of HNSCC remains unclear. In this study, we reveal that the tumor microenvironment of HNSCC is characterized by the high expression of genes related to Treg cells, dendritic cells (DCs), and interleukin (IL)-17-related molecules. Increased expression of IL17A, IL17F, or IL23A contributes to a favorable prognosis of HNSCC. In the tumor microenvironment of HNSCC, IL23A and IL12B are expressed in mature dendritic cells enriched in regulatory molecules (mregDCs). The mregDCs in HNSCC are a migratory and mature phenotype; their signature genes strongly correlate with Treg signature genes in HNSCC. We also observed that IL17A was highly expressed in Th17 cells and exhausted CD8+ T cells in HNSCC. These data suggest that mregDCs in HNSCC may contribute to the prognosis by balancing Treg cells and effector T cells that produce IL-17. Targeting mregDCs may be a novel strategy for developing new immune therapies against HNSCC.
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Affiliation(s)
- Kiyoshi Minohara
- Department of Immunology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.,Department of Otorhinolaryngology, Head and Neck Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Masaki Imai
- Department of Immunology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Takuma Matoba
- Department of Immunology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.,Department of Otorhinolaryngology, Head and Neck Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - James Badger Wing
- Laboratory of Human Immunology (Single Cell Immunology), Immunology Frontier Research Center, Osaka University, Osaka, Japan.,Human Single Cell Immunology Team, Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan
| | - Hiroaki Shime
- Department of Immunology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Mizuyu Odanaka
- Department of Immunology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Ryuta Uraki
- Department of Immunology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.,Division of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan
| | - Daisuke Kawakita
- Department of Otorhinolaryngology, Head and Neck Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Tatsuya Toyama
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Satoru Takahashi
- Department of Experimental Pathology and Tumor Biology, Nagoya City University, Graduate School of Medical Sciences, Nagoya, Japan
| | - Akimichi Morita
- Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Shingo Murakami
- Department of Otorhinolaryngology, Head and Neck Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Naganari Ohkura
- Department of Experimental Immunology, World Premier International Research Center Initiative, Immunology Frontier Research Center, Osaka University, Osaka, Japan.,Department of Frontier Research in Tumor Immunology, Center of Medical Innovation and Translational Research, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Shimon Sakaguchi
- Department of Experimental Immunology, World Premier International Research Center Initiative, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Shinichi Iwasaki
- Department of Otorhinolaryngology, Head and Neck Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Sayuri Yamazaki
- Department of Immunology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
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Cegla P, Currie G, Wróblewska JP, Cholewiński W, Kaźmierska J, Marszałek A, Kubiak A, Golusinski P, Golusiński W, Majchrzak E. Influence of Semiquantitative [18F]FDG PET and Hematological Parameters on Survival in HNSCC Patients Using Neural Network Analysis. Pharmaceuticals (Basel) 2022; 15:ph15020224. [PMID: 35215335 PMCID: PMC8875232 DOI: 10.3390/ph15020224] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 02/02/2022] [Accepted: 02/09/2022] [Indexed: 02/08/2023] Open
Abstract
The aim of this study is to assess the influence of semiquantitative PET-derived parameters as well as hematological parameters in overall survival in HNSCC patients using neural network analysis. Retrospective analysis was performed on 106 previously untreated HNSCC patients. Several PET-derived parameters (SUVmax, SUVmean, TotalSUV, MTV, TLG, TLRmax, TLRmean, TLRTLG, and HI) for primary tumor and lymph node with highest activity were assessed. Additionally, hematological parameters (LEU, LEU%, NEU, NEU%, MON, MON%, PLT, PLT%, NRL, and LMR) were also assessed. Patients were divided according to the diagnosis into the good and bad group. The data were evaluated using an artificial neural network (Neural Analyzer version 2.9.5) and conventional statistic. Statistically significant differences in PET-derived parameters in 5-year survival rate between group of patients with worse prognosis and good prognosis were shown in primary tumor SUVmax (10.0 vs. 7.7; p = 0.040), SUVmean (5.4 vs. 4.4; p = 0.047), MTV (23.2 vs. 14.5; p = 0.010), and TLG (155.0 vs. 87.5; p = 0.05), and mean liver TLG (27.8 vs. 30.4; p = 0.031), TLRmax (3.8 vs. 2.6; p = 0.019), TLRmean (2.8 vs. 1.9; p = 0.018), and in TLRTLG (5.6 vs. 2.3; p = 0.042). From hematological parameters, only LMR showed significant differences (2.5 vs. 3.2; p = 0.009). Final neural network showed that for ages above 60, primary tumors SUVmax, TotalSUV, MTV, TLG, TLRmax, and TLRmean over (9.7, 2255, 20.6, 145, 3.6, 2.6, respectively) are associated with worse survival. Our study shows that the neural network could serve as a supplement to PET-derived parameters and is helpful in finding prognostic parameters for overall survival in HNSCC.
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Affiliation(s)
- Paulina Cegla
- Department of Nuclear Medicine, Greater Poland Cancer Center, 61-866 Poznan, Poland;
- Correspondence:
| | - Geoffrey Currie
- School of Dentistry and Health Science, Charles Sturt University, Wagga Wagga 2678, Australia;
| | - Joanna P. Wróblewska
- Department of Oncologic Pathology and Prophylaxis, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (J.P.W.); (A.M.)
- Department of Tumor Pathology, Greater Poland Cancer Centre, 61-866 Poznan, Poland
| | - Witold Cholewiński
- Department of Nuclear Medicine, Greater Poland Cancer Center, 61-866 Poznan, Poland;
- Department of Electroradiology, Poznan University of Medical Science, 61-701 Poznan, Poland;
| | - Joanna Kaźmierska
- Department of Electroradiology, Poznan University of Medical Science, 61-701 Poznan, Poland;
- 2nd Radiotherapy Department, Greater Poland Cancer Center, 61-866 Poznan, Poland
| | - Andrzej Marszałek
- Department of Oncologic Pathology and Prophylaxis, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (J.P.W.); (A.M.)
- Department of Tumor Pathology, Greater Poland Cancer Centre, 61-866 Poznan, Poland
| | - Anna Kubiak
- Greater Poland Cancer Registry, Greater Poland Cancer Centre, 61-866 Poznan, Poland;
| | - Pawel Golusinski
- Department of Otolaryngology and Maxillofacial Surgery, University of Zielona Gora, 65-046 Zielona Góra, Poland;
| | - Wojciech Golusiński
- Department of Head and Neck Surgery, Poznan University of Medical Sciences, Greater Poland Cancer Center, 61-866 Poznan, Poland; (W.G.); (E.M.)
| | - Ewa Majchrzak
- Department of Head and Neck Surgery, Poznan University of Medical Sciences, Greater Poland Cancer Center, 61-866 Poznan, Poland; (W.G.); (E.M.)
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Positron Emission Tomography Imaging of Macrophages in Cancer. Cancers (Basel) 2021; 13:cancers13081921. [PMID: 33923410 PMCID: PMC8072570 DOI: 10.3390/cancers13081921] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/13/2021] [Accepted: 04/13/2021] [Indexed: 12/14/2022] Open
Abstract
Macrophages are large phagocytic cells that can be classified as a type of white blood cell and may be either mobile or stationary in tissues. The presence of macrophages in essentially every major disease makes them attractive candidates to serve as therapeutic targets and diagnostic biomarkers. Macrophages that are found in the microenvironment of solid tumors are referred to as tumor-associated macrophages (TAMs) and have been shown to influence chemoresistance, immune regulation, tumor initiation and tumor growth. The imaging of TAMs through Positron Emission Tomography (PET) has the potential to provide valuable information on cancer biology, tumor progression, and response to therapy. This review will highlight the versatility of macrophage imaging in cancer through the use of PET.
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Primary tumor standardized uptake value (SUVmax) measured on 18F-FDG PET/CT and mixed NSCLC components predict survival in surgical-resected combined small-cell lung cancer. J Cancer Res Clin Oncol 2020; 146:2595-2605. [PMID: 32494919 PMCID: PMC7467962 DOI: 10.1007/s00432-020-03240-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Accepted: 04/28/2020] [Indexed: 12/14/2022]
Abstract
Purpose The combined small-cell lung cancer (c-SCLC) is rare and has unique clinicopathological futures. The aim of this study is to investigate 18F-FDG PET/CT parameters and clinicopathological factors that influence the prognosis of c-SCLC. Methods Between November 2005 and October 2014, surgical-resected tumor samples from c-SCLC patients who received preoperative 18F-FDG PET/CT examination were retrospectively reviewed. The maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were used to evaluate metabolic parameters in primary tumors. The survivals were evaluated with the Kaplan–Meier method. Univariate and multivariate analyses were used to evaluate potential prognostic factors. Results Thirty-one patients were enrolled, with a median age of 62 (range: 35 − 79) years. The most common mixed component was squamous cell carcinoma (SCC, n = 12), followed by large-cell carcinoma (LCC, n = 7), adenocarcinoma (AC, n = 6), spindle cell carcinoma (n = 4), adenosquamous carcinoma (n = 1) and atypical carcinoid (n = 1). The median follow-up period was 53.0 (11.0–142.0) months; the 5-year overall survival (OS) and progression-free survival(PFS) rate were 48.4% and 35.5%, respectively. Univariate survival analysis showed that gender, smoking history, tumor location were associated with PFS (P = 0.036, P = 0.043, P = 0.048), SUVmax and TNM stage were closely related to PFS in both Mixed SCC and non-SCC component groups (P = 0.007, P = 0.048). SUVmax, smoking history, tumor size and mixed SCC component were influencing factors of OS in patients (P = 0.040, P = 0.041, P = 0.046, P = 0.029). Multivariate survival analysis confirmed that TNM stage (HR = 2.885, 95%CI: 1.323–6.289, P = 0.008) was the most significantly influential factor for PFS. High SUVmax value (HR = 9.338, 95%CI: 2.426–35.938, P = 0.001) and mixed SCC component (HR = 0.155, 95%CI: 0.045–0.530, P = 0.003) were poor predictors for OS. Conclusion Surgical-resected c-SCLCs have a relatively good prognosis. TNM stage is the most significant factor influencing disease progression in surgical-resected c-SCLCs. SUVmax and mixed NSCLC components within c-SCLCs had a considerable influence on the survival. Both high SUVmax and mixed SCC component are poor predictors for patients with c-SCLCs.
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Beneficial Effects of Melatonin on Apolipoprotein-E Knockout Mice by Morphological and 18F-FDG PET/CT Assessments. Int J Mol Sci 2020; 21:ijms21082920. [PMID: 32331251 PMCID: PMC7216051 DOI: 10.3390/ijms21082920] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 04/16/2020] [Accepted: 04/21/2020] [Indexed: 12/11/2022] Open
Abstract
Atherosclerosis represents one of the main risk factors for the development of cardiovascular diseases. Their etiologies have been studied in recent years in order to better define therapeutic targets for intervention and to identify diagnostic methods. Two different subtypes of macrophages, M1 and M2, have been described in physiological conditions. They can also be found in the atherosclerotic process, where they both have opposite roles in disease progression. Perivascular brown adipose tissue is also involved in inflammation and endothelial damage. In this work, we provide insights into the protective role of melatonin in the atherosclerotic process by morphological and 18F-FDG-PET/CT analyses. In particular, we examined the effects of melatonin on pathways that are linked to atherosclerosis development. We showed that melatonin, by suppressing M1 activity, reduced inflammation and directed macrophage polarization toward the M2 macrophage subtype. Moreover, melatonin preserved the activity of perivascular brown adipose tissue. In addition, 18F-FDG uptake is very high in mice treated with melatonin, confirming that other factors may alter 18F-FDG distribution. In conclusion, we showed that melatonin affects inflammatory pathways that have been linked to atherosclerosis, assessed the relationships of the 18F-FDG PET/CT parameters with macrophage markers and the production of their cytokines, which that have been defined by morphological evaluations.
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