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Tan S, Ding X, Pan D, Xu Y, Wang C, Yan J, Chen C, Wang L, Wang X, Yang M, Xu Y. Synthesis and Characterization of a Novel PET Tracer for Noninvasive Evaluation of FGL1 Status in Tumors. Mol Pharm 2024; 21:3425-3433. [PMID: 38836286 DOI: 10.1021/acs.molpharmaceut.4c00137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
Fibrinogen-like protein 1 (FGL1) is a potential novel immune checkpoint target for malignant tumor diagnosis and therapy. Accurate detection of FGL1 levels in tumors via noninvasive PET imaging might be beneficial for managing the disease. To achieve this, multiple FGL1-targeting peptides (FGLP) were designed, and a promising candidate, 68Ga-NOTA-FGLP2, was identified through a high-throughput screening approach using microPET imaging of 68Ga-labeled peptides. Subsequent in vitro cell experiments showed that uptake values of 68Ga-NOTA-FGLP2 in FGL1 positive Huh7 tumor cells were significantly higher than those in FGL1 negative U87 MG tumor cells. Further microPET imaging showed that the Huh7 xenografts were clearly visualized with a favorable contrast. ROI analysis showed that the uptake values of the tracer in Huh7 xenografts were 2.63 ± 0.07% ID/g at 30 min p.i.. After treatment with an excess of unlabeled FGLP2, the tumor uptake significantly decreased to 0.54 ± 0.05% ID/g at 30 min p.i.. Moreover, the uptake in U87 MG xenografts was 0.44 ± 0.06% ID/g at the same time point. The tracer was excreted mainly through the renal system. 18F-FDG PET imaging was also performed in mice bearing Huh7 and U87 MG xenografts, respectively. However, there was no significant difference in the uptake between the tumors with different FGL1 expressions. Preclinical data indicated that 68Ga-NOTA-FGLP2 might be a suitable radiotracer for in vivo noninvasive visualization of tumors with abundant expression of FGL1. Further investigation of 68Ga-NOTA-FGLP2 for tumor diagnosis and therapy is undergoing.
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Affiliation(s)
- Siyi Tan
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Xiang Ding
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Donghui Pan
- Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi 214063, China
| | - Yue Xu
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Ce Wang
- Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi 214063, China
| | - Junjie Yan
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi 214063, China
| | - Chongyang Chen
- Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi 214063, China
| | - Lizhen Wang
- Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi 214063, China
| | - Xinyu Wang
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi 214063, China
| | - Min Yang
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi 214063, China
| | - Yuping Xu
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Nuclear Medicine, Ministry of Health, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi 214063, China
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Masse M, Chardin D, Tricarico P, Ferrari V, Martin N, Otto J, Darcourt J, Comte V, Humbert O. [ 18F]FDG-PET/CT atypical response patterns to immunotherapy in non-small cell lung cancer patients: long term prognosis assessment and clinical management proposal. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06794-8. [PMID: 38896129 DOI: 10.1007/s00259-024-06794-8] [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: 03/08/2024] [Accepted: 06/05/2024] [Indexed: 06/21/2024]
Abstract
AIM To determine the long-term prognosis of immune-related response profiles (pseudoprogression and dissociated response), not covered by conventional PERCIST criteria, in patients with non-small-cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICPIs). METHODS 109 patients were prospectively included and underwent [18F]FDG-PET/CT at baseline, after 7 weeks (PETinterim1), and 3 months (PETinterim2) of treatment. On PETinterim1, tumor response was assessed using standard PERCIST criteria. In the event of PERCIST progression at this time-point, the study design provided for continued immunotherapy for 6 more weeks. Additional response patterns were then considered on PETinterim2: pseudo-progression (PsPD, subsequent metabolic response); dissociated response (DR, coexistence of responding and non-responding lesions), and confirmed progressive metabolic disease (cPMD, subsequent homogeneous progression of lesions). Patients were followed up for at least 12 months. RESULTS Median follow-up was 21 months. At PETinterim1, PERCIST progression was observed in 60% (66/109) of patients and ICPI was continued in 59/66. At the subsequent PETinterim2, 14% of patients showed PsPD, 11% DR, 35% cPMD, and 28% had a sustained metabolic response. Median overall survival (OS) and progression-free-survival (PFS) did not differ between PsPD and DR (27 vs 29 months, p = 1.0; 17 vs 12 months, p = 0.2, respectively). The OS and PFS of PsPD/DR patients were significantly better than those with cPMD (29 vs 9 months, p < 0.02; 16 vs 2 months, p < 0.001), but worse than those with sustained metabolic response (p < 0.001). This 3-group prognostic stratification enabled better identification of true progressors, outperforming the prognostic value of standard PERCIST criteria (p = 0.03). CONCLUSION [18F]FDG-PET/CT enables early assessment of response to immunotherapy. The new wsPERCIST ("wait and see") PET criteria proposed, comprising immune-related atypical response patterns, can refine conventional prognostic stratification based on PERCIST criteria. TRIAL REGISTRATION HDH F20230309081206. Registered 20 April 2023. Retrospectively registered.
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Affiliation(s)
- Mathilde Masse
- Centre Antoine Lacassagne, Nuclear Medicine Department, 33 Avenue de Valombrose, 06100, Nice, France.
- Université Côte D'Azur, CNRS, Inserm, iBV, Nice, France.
| | - David Chardin
- Centre Antoine Lacassagne, Nuclear Medicine Department, 33 Avenue de Valombrose, 06100, Nice, France
- Université Côte D'Azur, CNRS, Inserm, iBV, Nice, France
| | - Pierre Tricarico
- Centre Antoine Lacassagne, Nuclear Medicine Department, 33 Avenue de Valombrose, 06100, Nice, France
| | - Victoria Ferrari
- Centre Antoine Lacassagne, Oncology Department, 33 Avenue de Valombrose, 06100, Nice, France
| | - Nicolas Martin
- Centre Antoine Lacassagne, Oncology Department, 33 Avenue de Valombrose, 06100, Nice, France
| | - Josiane Otto
- Centre Antoine Lacassagne, Oncology Department, 33 Avenue de Valombrose, 06100, Nice, France
| | - Jacques Darcourt
- Centre Antoine Lacassagne, Nuclear Medicine Department, 33 Avenue de Valombrose, 06100, Nice, France
- TIRO-UMR E 4320, UCA/CEA, 28 Avenue de Valombrose, 06100, Nice, France
| | - Victor Comte
- Centre Antoine Lacassagne, Nuclear Medicine Department, 33 Avenue de Valombrose, 06100, Nice, France
- Université Côte D'Azur, CNRS, Inserm, iBV, Nice, France
| | - Olivier Humbert
- Centre Antoine Lacassagne, Nuclear Medicine Department, 33 Avenue de Valombrose, 06100, Nice, France
- Université Côte D'Azur, CNRS, Inserm, iBV, Nice, France
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Tang S, Fan T, Wang X, Yu C, Zhang C, Zhou Y. Cancer Immunotherapy and Medical Imaging Research Trends from 2003 to 2023: A Bibliometric Analysis. J Multidiscip Healthc 2024; 17:2105-2120. [PMID: 38736544 PMCID: PMC11086400 DOI: 10.2147/jmdh.s457367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 04/16/2024] [Indexed: 05/14/2024] Open
Abstract
Purpose With the rapid development of immunotherapy, cancer treatment has entered a new phase. Medical imaging, as a primary diagnostic method, is closely related to cancer immunotherapy. However, until now, there has been no systematic bibliometric analysis of the state of this field. Therefore, the main purpose of this article is to clarify the past research trajectory, summarize current research hotspots, reveal dynamic scientific developments, and explore future research directions. Patients and Methods A comprehensive search was conducted on the Web of Science Core Collection (WoSCC) database to identify publications related to immunotherapy specifically for the medical imaging of carcinoma. The search spanned the period from the year 2003 to 2023. Several analytical tools were employed. These included CiteSpace (6.2.4), and the Microsoft Office Excel (2016). Results By searching the database, a total of 704 English articles published between 2003 and 2023 were obtained. We have observed a rapid increase in the number of publications since 2018. The two most active countries are the United States (n=265) and China (n=170). Pittock, Sean J and Abu-sbeih, Hamzah are very concerned about the relationship between cancer immunotherapy and medical images and have published more academic papers (n = 5; n = 4). Among the top 10 co-cited authors, Topalian Sl (n=43) cited ranked first, followed by Graus F (n=40) cited. According to clustering, timeline, and burst word analysis, the results show that the current research focus is on "MRI", "deep learning", "tumor microenvironment" and so on. Conclusion Medical imaging and cancer immunotherapy are hot topics. The United States is the country with the most publications and the greatest influence in this field, followed by China. "MRI", "PET/PET-CT", "deep learning", "immune-related adverse events" and "tumor microenvironment" are currently hot research topics and potential targets.
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Affiliation(s)
- Shuli Tang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150010, People’s Republic of China
| | - Tiantian Fan
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150010, People’s Republic of China
| | - Xinxin Wang
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150010, People’s Republic of China
| | - Can Yu
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150010, People’s Republic of China
| | - Chunhui Zhang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150010, People’s Republic of China
| | - Yang Zhou
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150010, People’s Republic of China
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Larimer BM. PET Imaging for Monitoring Cellular and Immunotherapy of Cancer. Cancer J 2024; 30:153-158. [PMID: 38753749 PMCID: PMC11101150 DOI: 10.1097/ppo.0000000000000722] [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] [Indexed: 05/18/2024]
Abstract
ABSTRACT Cancer immunotherapy, including checkpoint blockade and cellular therapy, has become a cornerstone in cancer treatment. However, understanding the factors driving patient response or resistance to these therapies remains challenging. The dynamic interplay between the immune system and tumors requires new approaches for characterization. Biopsies and blood tests provide valuable information, but their limitations have led to increased interest in positron emission tomography (PET)/computed tomography imaging to complement these strategies. The noninvasive nature of PET imaging makes it ideal for monitoring the dynamic tumor immune microenvironment. This review discusses various PET imaging approaches, including immune cell lineage markers, immune functional markers, immune cell metabolism, direct cell labeling, and reporter genes, highlighting their potential in targeted immunotherapies and cell-based approaches. Although PET imaging has limitations, its integration into diagnostic strategies holds promise for improving patient outcomes and accelerating drug development in cancer immunotherapy.
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Affiliation(s)
- Benjamin M. Larimer
- Department of Radiology. The University of Alabama at Birmingham, Birmingham, Alabama
- O’Neal Comprehensive Cancer Center. The University of Alabama at Birmingham, Birmingham, Alabama
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Huang W, Son MH, Ha LN, Kang L, Cai W. Challenges coexist with opportunities: development of a macrocyclic peptide PET radioligand for PD-L1. Eur J Nucl Med Mol Imaging 2024; 51:1574-1577. [PMID: 38492018 PMCID: PMC11131584 DOI: 10.1007/s00259-024-06680-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2024]
Affiliation(s)
- Wenpeng Huang
- Department of Nuclear Medicine, Peking University First Hospital, No.8 Xishiku Str, Xicheng District, Beijing, 100034, China
| | - Mai Hong Son
- Department of Nuclear Medicine, Hospital 108, Hanoi, Vietnam
| | - Le Ngoc Ha
- Department of Nuclear Medicine, Hospital 108, Hanoi, Vietnam
| | - Lei Kang
- Department of Nuclear Medicine, Peking University First Hospital, No.8 Xishiku Str, Xicheng District, Beijing, 100034, China.
| | - Weibo Cai
- Departments of Radiology and Medical Physics, University of Wisconsin - Madison, K6/562 Clinical Science Center, 600 Highland Ave, Madison, WI, 53705-2275, USA.
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Ghodsi A, Hicks RJ, Iravani A. PET/Computed Tomography Transformation of Oncology: Immunotherapy Assessment. PET Clin 2024; 19:291-306. [PMID: 38199917 DOI: 10.1016/j.cpet.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024]
Abstract
Immunotherapy approaches have changed the treatment landscape in a variety of malignancies with a high anti-tumor response. Immunotherapy may be associated with novel response and progression patterns that pose a substantial challenge to the conventional criteria for assessing treatment response, including response evaluation criteria in solid tumors (RECIST) 1.1. In addition to the morphologic details provided by computed tomography (CT) and MRI, hybrid molecular imaging emerges as a comprehensive imaging modality with the capacity to interrogate pathophysiological mechanisms like glucose metabolism. This review highlights the current status of 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/computed tomography (18F-FDG PET/CT) in prognostication, response monitoring, and identifying immune-related adverse events. Furthermore, it investigates the potential role of novel immuno-PET tracers that could complement the utilization of 18F-FDG PET/CT by imaging the specific pathways involved in immunotherapeutic strategies.
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Affiliation(s)
- Alireza Ghodsi
- Department of Radiology, University of Washington, 1144 Eastlake Avenue East, Seattle, WA 98109, USA
| | - Rodney J Hicks
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Australia; Department of Medicine, Central Clinical School, The Alfred Hospital, Monash University, Melbourne, Australia; The Melbourne Theranostic Innovation Centre, North Melbourne, Australia
| | - Amir Iravani
- Department of Radiology, University of Washington, 1144 Eastlake Avenue East, Seattle, WA 98109, USA.
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Hughes DJ, Josephides E, O'Shea R, Manickavasagar T, Horst C, Hunter S, Tanière P, Nonaka D, Van Hemelrijck M, Spicer J, Goh V, Bille A, Karapanagiotou E, Cook GJR. Predicting programmed death-ligand 1 (PD-L1) expression with fluorine-18 fluorodeoxyglucose ([ 18F]FDG) positron emission tomography/computed tomography (PET/CT) metabolic parameters in resectable non-small cell lung cancer. Eur Radiol 2024:10.1007/s00330-024-10651-5. [PMID: 38388716 DOI: 10.1007/s00330-024-10651-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/24/2023] [Accepted: 01/17/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND Programmed death-ligand 1 (PD-L1) expression is a predictive biomarker for immunotherapy in non-small cell lung cancer (NSCLC). PD-L1 and glucose transporter 1 expression are closely associated, and studies demonstrate correlation of PD-L1 with glucose metabolism. AIM The aim of this study was to investigate the association of fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography ([18F]FDG-PET/CT) metabolic parameters with PD-L1 expression in primary lung tumour and lymph node metastases in resected NSCLC. METHODS We conducted a retrospective analysis of 210 patients with node-positive resectable stage IIB-IIIB NSCLC. PD-L1 tumour proportion score (TPS) was determined using the DAKO 22C3 immunohistochemical assay. Semi-automated techniques were used to analyse pre-operative [18F]FDG-PET/CT images to determine primary and nodal metabolic parameter scores (including max, mean, peak and peak adjusted for lean body mass standardised uptake values (SUV), metabolic tumour volume (MTV), total lesional glycolysis (TLG) and SUV heterogeneity index (HISUV)). RESULTS Patients were predominantly male (57%), median age 70 years with non-squamous NSCLC (68%). A majority had negative primary tumour PD-L1 (TPS < 1%; 53%). Mean SUVmax, SUVmean, SUVpeak and SULpeak values were significantly higher (p < 0.05) in those with TPS ≥ 1% in primary tumour (n = 210) or lymph nodes (n = 91). However, ROC analysis demonstrated only moderate separability at the 1% PD-L1 TPS threshold (AUCs 0.58-0.73). There was no association of MTV, TLG and HISUV with PD-L1 TPS. CONCLUSION This study demonstrated the association of SUV-based [18F]FDG-PET/CT metabolic parameters with PD-L1 expression in primary tumour or lymph node metastasis in resectable NSCLC, but with poor sensitivity and specificity for predicting PD-L1 positivity ≥ 1%. CLINICAL RELEVANCE STATEMENT Whilst SUV-based fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography metabolic parameters may not predict programmed death-ligand 1 positivity ≥ 1% in the primary tumour and lymph nodes of resectable non-small cell lung cancer independently, there is a clear association which warrants further investigation in prospective studies. TRIAL REGISTRATION Non-applicable KEY POINTS: • Programmed death-ligand 1 immunohistochemistry has a predictive role in non-small cell lung cancer immunotherapy; however, it is both heterogenous and dynamic. • SUV-based fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography ([18F]FDG-PET/CT) metabolic parameters were significantly higher in primary tumour or lymph node metastases with positive programmed death-ligand 1 expression. • These SUV-based parameters could potentially play an additive role along with other multi-modal biomarkers in selecting patients within a predictive nomogram.
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Affiliation(s)
- Daniel Johnathan Hughes
- Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK
- King's College London & Guy's and St Thomas' PET Centre, London, UK
- Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Eleni Josephides
- Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Robert O'Shea
- Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK
- Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Thubeena Manickavasagar
- Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK
- Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK
- Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Carolyn Horst
- Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK
- Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Sarah Hunter
- Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Philippe Tanière
- Department of Histopathology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Daisuke Nonaka
- Department of Histopathology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - James Spicer
- Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK
- School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Vicky Goh
- Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK
- Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Andrea Bille
- Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK
- School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Eleni Karapanagiotou
- Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, UK
- School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Gary J R Cook
- Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK.
- King's College London & Guy's and St Thomas' PET Centre, London, UK.
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Ma XK, Liu TL, Ren YN, Ma XP, Yao Y, Hou XG, Ding J, Wang F, Huang HF, Zhu H, Yang Z. 124I-labeled anti-CD147 antibody for noninvasive detection of CD147-positive pan-cancers: construction and preclinical studies. Acta Pharmacol Sin 2024; 45:436-448. [PMID: 37749238 PMCID: PMC10789738 DOI: 10.1038/s41401-023-01162-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 08/29/2023] [Indexed: 09/27/2023] Open
Abstract
Extracellular matrix metalloproteinase inducer CD147 is a glycoprotein on the cell surface. There is minimal expression of CD147 in normal epithelial and fetal tissues, but it is highly expressed in a number of aggressive tumors. CD147 has been implicated in pan-cancer immunity and progression. With the development of CD147-targeting therapeutic strategy, accurate detection of CD147 expression in tumors and its changes during the therapy is necessary. In this study we constructed a novel radiotracer by labeling the anti-CD147 mAb with radionuclide 124/125I (124/125I-anti-CD147) for noninvasive detection of CD147 expression in pan-cancers, and characterized its physicochemical properties, affinity, metabolic characteristics, biodistribution and immunoPET imaging with 124I-IgG and 18F-FDG as controls. By examining the expression of CD147 in cancer cell lines, we found high CD147 expression in colon cancer cells LS174T, FADU human pharyngeal squamous cancer cells and 22RV1 human prostate cancer cells, and low expression of CD147 in human pancreatic cancer cells ASPC1 and human gastric cancer cells BGC823. 124/125I-anti-CD147 was prepared using N-bromine succinimide (NBS) as oxidant and purified by PD-10 column. Its radiochemical purity (RCP) was over 99% and maintained over 85% in saline or 5% human serum albumin (HSA) for more than 7 d; the RCP of 125I-anti-CD147 in blood was over 90% at 3 h post injection (p.i.) in healthy mice. The Kd value of 125I-anti-CD147 to CD147 protein was 6.344 nM, while that of 125I-IgG was over 100 nM. 125I-anti-CD147 showed much greater uptake in CD147 high-expression cancer cells compared to CD147 low-expression cancer cells. After intravenous injection in healthy mice, 125I-anti-CD147 showed high initial uptake in blood pool and liver, the uptake was decreased with time. The biological half-life of distribution and clearance phases in healthy mice were 0.63 h and 19.60 h, respectively. The effective dose of 124I-anti-CD147 was estimated as 0.104 mSv/MBq. We conducted immunoPET imaging in tumor-bearing mice, and demonstrated a significantly higher tumor-to-muscle ratio of 124I-anti-CD147 compared to that of 124I-IgG and 18F-FDG in CD147 (+) tumors. The expression levels of CD147 in cells and tumors were positively correlated with the maximum standardized uptake value (SUVmax) (P < 0.01). In conclusion, 124/125I-anti-CD147 displays high affinity to CD147, and represents potential for the imaging of CD147-positive tumors. The development of 124I-anti-CD147 may provide new insights into the regulation of tumor microenvironment and formulation of precision diagnosis and treatment programs for tumors.
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Affiliation(s)
- Xiao-Kun Ma
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Te-Li Liu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Ya-Nan Ren
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
- Medical College, Guizhou University, Guiyang, 550025, China
| | - Xiao-Pan Ma
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
- Medical College, Guizhou University, Guiyang, 550025, China
| | - Yuan Yao
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Xing-Guo Hou
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Jin Ding
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Feng Wang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Hai-Feng Huang
- Department of Orthopaedics, Guizhou Provincial People's Hospital, Guiyang, 550002, China
| | - Hua Zhu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| | - Zhi Yang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
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Meidai L, Yujing D, Zhaoyu L, Shanshi L, Guangyu Z, Yan F, Xiuying Y, Jianhua Z. Comparison between an SGLT2 inhibitor and insulin in tumor-to-tissue contrasts in 18F-FDG PET imaging of diabetic mice. Sci Rep 2023; 13:18329. [PMID: 37884546 PMCID: PMC10603037 DOI: 10.1038/s41598-023-45094-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 10/16/2023] [Indexed: 10/28/2023] Open
Abstract
18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) has been widely utilized for tumor diagnosis. Hyperglycemia affects the 18F-FDG uptake and reduces tumor-to-tissue contrasts, however, ideal hypoglycemic drugs are lacking. This study compared the role of insulin with the novel widely used hypoglycemic drug, sodium-glucose cotransporter 2 (SGLT2) inhibitor, on 18F-FDG PET imaging in diabetic conditions. The streptozotocin (STZ)-induced diabetic C57BL/6N mice were inoculated with B16 (mouse melanoma) cells to establish the xenograft tumor model. After the mice had been administrated with dapagliflozin (30 mg/kg, IG) or insulin (0.75 U/kg, IP) for one hour, 9.25 MBq/10 g 18F-FDG was injected. Biodistributions were detected by gamma counting and microPET imaging. The results showed dapagliflozin did not significantly affect the 18F-FDG uptake in tumors but reduced uptake in reference tissues, resulting in a significant increase in the tumor-to-skeletal muscle ratio. Conversely, insulin increased 18F-FDG uptake in tumors without significant reduction in uptake in reference tissues; Although there was an observable improvement in tumor imaging, it did not reach significantly statistical differences. This study suggests that insulin and SGLT2 inhibitor yield comparable effects on the quality of 18F-FDG PET imaging in diabetic patients. Nevertheless, SGLT2 inhibitors would be more suitable when skeletal muscle is used as reference tissue.
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Affiliation(s)
- Liang Meidai
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, People's Republic of China
- Beijing Key Laboratory of Drug Target and Screening Research, Institute of Materia Medica of Peking, Union Medical College, Beijing, 100050, People's Republic of China
| | - Du Yujing
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, People's Republic of China
- Department of Nuclear Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, People's Republic of China
| | - Liu Zhaoyu
- Beijing Key Laboratory of Drug Target and Screening Research, Institute of Materia Medica of Peking, Union Medical College, Beijing, 100050, People's Republic of China
| | - Li Shanshi
- Department of Radiation Oncology, Peking University First Hospital, Beijing, 100034, People's Republic of China
| | - Zhao Guangyu
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, People's Republic of China
| | - Fan Yan
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, People's Republic of China
| | - Yang Xiuying
- Beijing Key Laboratory of Drug Target and Screening Research, Institute of Materia Medica of Peking, Union Medical College, Beijing, 100050, People's Republic of China.
| | - Zhang Jianhua
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, People's Republic of China.
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10
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Sachpekidis C, Stein-Thoeringer CK, Kopp-Schneider A, Weru V, Dimitrakopoulou-Strauss A, Hassel JC. Can physiologic colonic [ 18F]FDG uptake in PET/CT imaging predict response to immunotherapy in metastatic melanoma? Eur J Nucl Med Mol Imaging 2023; 50:3709-3722. [PMID: 37452874 PMCID: PMC10547632 DOI: 10.1007/s00259-023-06327-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 06/27/2023] [Indexed: 07/18/2023]
Abstract
AIM The development of biomarkers that can reliably and early predict response to immune checkpoint inhibitors (ICIs) is crucial in melanoma. In recent years, the gut microbiome has emerged as an important regulator of immunotherapy response, which may, moreover, serve as a surrogate marker and prognosticator in oncological patients under immunotherapy. Aim of the present study is to investigate if physiologic colonic [18F]FDG uptake in PET/CT before start of ICIs correlates with clinical outcome of metastatic melanoma patients. The relation between [18F]FDG uptake in lymphoid cell-rich organs and long-term patient outcome is also assessed. METHODOLOGY One hundred nineteen stage IV melanoma patients scheduled for immunotherapy with ipilimumab, applied either as monotherapy or in combination with nivolumab, underwent baseline [18F]FDG PET/CT. PET/CT data analysis consisted of standardized uptake value (SUV), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) calculations in the colon as well as measurements of the colon-to-liver SUV ratios (CLRmean, CLRmax). Visual grading of colon uptake based on a four-point scale was also performed. Moreover, the spleen-to-liver SUV ratios (SLRmean, SLRmax) and the bone marrow-to-liver SUV ratios (BLRmean, BLRmax) were calculated. We also measured serum lipopolysaccharide (LPS) levels as a marker for bacterial translocation and surrogate for mucosal defense homeostasis. The results were correlated with patients' best clinical response, progression-free survival (PFS), and overall survival (OS) as well as clinical signs of colitis. RESULTS Median follow-up [95%CI] from the beginning of immunotherapy was 64.6 months [61.0-68.6 months]. Best response to treatment was progressive disease (PD) for 60 patients, stable disease (SD) for 37 patients, partial response (PR) for 18 patients, and complete response (CR) for 4 patients. Kaplan-Meier curves demonstrated a trend for longer PFS and OS in patients with lower colonic SUV and CLR values; however, no statistical significance for these parameters as prognostic factors was demonstrated. On the other hand, patients showing disease control as best response to treatment (SD, PR, CR) had significantly lower colonic MTV and TLG than those showing PD. With regard to lymphoid cell-rich organs, significantly lower baseline SLRmax and BLRmax were observed in patients responding with disease control than progression to treatment. Furthermore, patients with lower SLRmax and BLRmax values had a significantly longer OS when dichotomized at their median. In multivariate analysis, PET parameters that were found to significantly adversely correlate with patient survival were colonic MTV for PFS, colonic TLG for PFS, and BLRmax for PFS and OS. CONCLUSIONS Physiologic colonic [18F]FDG uptake in PET/CT, as assessed by means of SUV, before start of ipilimumab-based treatment does not seem to independently predict patient survival of metastatic melanoma. On the other hand, volumetric PET parameters, such as MTV and TLG, derived from the normal gut may identify patients showing disease control to immunotherapy and significantly correlate with PFS. Moreover, the investigation of glucose metabolism in the spleen and the bone marrow may offer prognostic information.
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Affiliation(s)
- Christos Sachpekidis
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany.
| | - Christoph K Stein-Thoeringer
- Laboratory of Translational, Microbiome Science, Internal Medicine I, University Clinic Tuebingen, Tuebingen, Germany
| | | | - Vivienn Weru
- Department of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Antonia Dimitrakopoulou-Strauss
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - Jessica C Hassel
- Department of Dermatology and National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany
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11
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Sachpekidis C, Weru V, Kopp-Schneider A, Hassel JC, Dimitrakopoulou-Strauss A. The prognostic value of [ 18F]FDG PET/CT based response monitoring in metastatic melanoma patients undergoing immunotherapy: comparison of different metabolic criteria. Eur J Nucl Med Mol Imaging 2023; 50:2699-2714. [PMID: 37099131 PMCID: PMC10317882 DOI: 10.1007/s00259-023-06243-y] [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: 03/22/2023] [Accepted: 04/19/2023] [Indexed: 04/27/2023]
Abstract
PURPOSE To investigate the prognostic value of [18F]FDG PET/CT as part of response monitoring in metastatic melanoma patients treated with immune checkpoint inhibitors (ICIs). METHODS Sixty-seven patients underwent [18F]FDG PET/CT before start of treatment (baseline PET/CT), after two cycles (interim PET/CT) and after four cycles of ICIs administration (late PET/CT). Metabolic response evaluation was based on the conventional EORTC and PERCIST criteria, as well as the newly introduced, immunotherapy-modified PERCIMT, imPERCIST5 and iPERCIST criteria. Metabolic response to immunotherapy was classified according to four response groups (complete metabolic response [CMR], partial metabolic response [PMR], stable metabolic disease [SMD], progressive metabolic disease [PMD]), and further dichotomized by response rate (responders = [CMR] + [PMR] vs. non-responders = [PMD] + [SMD]), and disease control rate (disease control = [CMR] + [PMR] + [SMD] vs. [PMD]). The spleen-to-liver SUV ratios (SLRmean, SLRmax) and bone marrow-to-liver SUV ratios (BLRmean, BLRmax) were also calculated. The results of PET/CT were correlated with patients' overall survival (OS). RESULTS Median patient follow up [95% CI] was 61.5 months [45.3 - 66.7 months]. On interim PET/CT, the application of the novel PERCIMT demonstrated significantly longer survival for metabolic responders, while the rest criteria revealed no significant survival differences between the different response groups. Respectively on late PET/CT, both a trend for longer OS and significantly longer OS were observed in patients responding to ICIs with metabolic response and disease control after application of various criteria, both conventional and immunotherapy-modified. Moreover, patients with lower SLRmean values demonstrated significantly longer OS. CONCLUSION In patients with metastatic melanoma PET/CT-based response assessment after four ICIs cycles is significantly associated with OS after application of different metabolic criteria. The prognostic performance of the modality is also high after the first two ICIs cycles, especially with employment of novel criteria. In addition, investigation of spleen glucose metabolism may provide further prognostic information.
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Affiliation(s)
- Christos Sachpekidis
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210 Heidelberg, Heidelberg, Germany.
| | - Vivienn Weru
- Department of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Jessica C Hassel
- Department of Dermatology and National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany
| | - Antonia Dimitrakopoulou-Strauss
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210 Heidelberg, Heidelberg, Germany
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12
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Li K, Wang M, Akoglu M, Pollard AC, Klecker JB, Alfonso P, Corrionero A, Prendiville N, Qu W, Parker MFL, Turkman N, Cohen JA, Tonge PJ. Synthesis and Preclinical Evaluation of a Novel Fluorine-18-Labeled Tracer for Positron Emission Tomography Imaging of Bruton's Tyrosine Kinase. ACS Pharmacol Transl Sci 2023; 6:410-421. [PMID: 36926452 PMCID: PMC10012250 DOI: 10.1021/acsptsci.2c00215] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Indexed: 02/12/2023]
Abstract
Bruton's tyrosine kinase (BTK) is a target for treating B-cell malignancies and autoimmune diseases. To aid in the discovery and development of BTK inhibitors and improve clinical diagnoses, we have developed a positron emission tomography (PET) radiotracer based on a selective BTK inhibitor, remibrutinib. [18F]PTBTK3 is an aromatic, 18F-labeled tracer that was synthesized in 3 steps with a 14.8 ± 2.4% decay-corrected radiochemical yield and ≥99% radiochemical purity. The cellular uptake of [18F]PTBTK3 was blocked up to 97% in JeKo-1 cells using remibrutinib or non-radioactive PTBTK3. [18F]PTBTK3 exhibited renal and hepatobiliary clearance in NOD SCID (non-obese diabetic/severe combined immunodeficiency) mice, and the tumor uptake of [18F]PTBTK3 in BTK-positive JeKo-1 xenografts (1.23 ± 0.30% ID/cc) was significantly greater at 60 min post injection compared to the tumor uptake in BTK-negative U87MG xenografts (0.41 ± 0.11% ID/cc). In the JeKo-1 xenografts, tumor uptake was blocked up to 62% by remibrutinib, indicating the BTK-dependent uptake of [18F]PTBTK3 in tumors.
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Affiliation(s)
- Kaixuan Li
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
| | - Mingqian Wang
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
| | - Melike Akoglu
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
| | - Alyssa C. Pollard
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
| | - John B. Klecker
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
| | - Patricia Alfonso
- Enzymlogic
S.L., QUBE Technology
Park, C/Santiago Grisolía, 2, 28760 Madrid, Spain
| | - Ana Corrionero
- Enzymlogic
S.L., QUBE Technology
Park, C/Santiago Grisolía, 2, 28760 Madrid, Spain
| | - Niall Prendiville
- Enzymlogic
S.L., QUBE Technology
Park, C/Santiago Grisolía, 2, 28760 Madrid, Spain
| | - Wenchao Qu
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
- Department
of Psychiatry, Department of Radiology, Department of Medicine, Stony Brook Cancer
Center, and Facility of Experimental Radiopharmaceutical Manufacturing (FERM), Stony Brook Renaissance School of Medicine, Stony
Brook University, Stony
Brook, New York 11794, United States
| | - Matthew F. L. Parker
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
- Department
of Psychiatry, Department of Radiology, Department of Medicine, Stony Brook Cancer
Center, and Facility of Experimental Radiopharmaceutical Manufacturing (FERM), Stony Brook Renaissance School of Medicine, Stony
Brook University, Stony
Brook, New York 11794, United States
| | - Nashaat Turkman
- Department
of Psychiatry, Department of Radiology, Department of Medicine, Stony Brook Cancer
Center, and Facility of Experimental Radiopharmaceutical Manufacturing (FERM), Stony Brook Renaissance School of Medicine, Stony
Brook University, Stony
Brook, New York 11794, United States
| | - Jules A. Cohen
- Department
of Psychiatry, Department of Radiology, Department of Medicine, Stony Brook Cancer
Center, and Facility of Experimental Radiopharmaceutical Manufacturing (FERM), Stony Brook Renaissance School of Medicine, Stony
Brook University, Stony
Brook, New York 11794, United States
| | - Peter J. Tonge
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
- Department
of Psychiatry, Department of Radiology, Department of Medicine, Stony Brook Cancer
Center, and Facility of Experimental Radiopharmaceutical Manufacturing (FERM), Stony Brook Renaissance School of Medicine, Stony
Brook University, Stony
Brook, New York 11794, United States
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13
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Moy L. Change Is Good: The Evolution and Future of Breast Imaging. Radiology 2023; 306:e230018. [PMID: 36803001 PMCID: PMC9968764 DOI: 10.1148/radiol.230018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 01/03/2023] [Indexed: 02/10/2023]
Affiliation(s)
- Linda Moy
- From the Department of Radiology, New York University, 160 E 34th St,
New York, NY 10016
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14
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Pan J, Chen Y, Hu Y, Wang H, Chen W, Zhou Q. Molecular imaging research in atherosclerosis: A 23-year scientometric and visual analysis. Front Bioeng Biotechnol 2023; 11:1152067. [PMID: 37122864 PMCID: PMC10133554 DOI: 10.3389/fbioe.2023.1152067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/06/2023] [Indexed: 05/02/2023] Open
Abstract
Background: Cardiovascular and cerebrovascular diseases are major global health problems, and the main cause is atherosclerosis. Recently, molecular imaging has been widely employed in the diagnosis and therapeutic applications of a variety of diseases, including atherosclerosis. Substantive facts have announced that molecular imaging has broad prospects in the early diagnosis and targeted treatment of atherosclerosis. Objective: We conducted a scientometric analysis of the scientific publications over the past 23 years on molecular imaging research in atherosclerosis, so as to identify the key progress, hotspots, and emerging trends. Methods: Original research and reviews regarding molecular imaging in atherosclerosis were retrieved from the Web of Science Core Collection database. Microsoft Excel 2021 was used to analyze the main findings. CiteSpace, VOSviewer, and a scientometric online platform were used to perform visualization analysis of the co-citation of journals and references, co-occurrence of keywords, and collaboration between countries/regions, institutions, and authors. Results: A total of 1755 publications were finally included, which were published by 795 authors in 443 institutions from 59 countries/regions. The United States was the top country in terms of the number and centrality of publications in this domain, with 810 papers and a centrality of 0.38, and Harvard University published the largest number of articles (182). Fayad, ZA was the most productive author, with 73 papers, while LIBBY P had the most co-citations (493). CIRCULATION was the top co-cited journal with a frequency of 1,411, followed by ARTERIOSCL THROM VAS (1,128). The co-citation references analysis identified eight clusters with a well-structured network (Q = 0.6439) and highly convincing clustering (S = 0.8865). All the studies calculated by keyword co-occurrence were divided into five clusters: "nanoparticle," "magnetic resonance imaging," "inflammation," "positron emission tomography," and "ultrasonography". Hot topics mainly focused on cardiovascular disease, contrast media, macrophage, vulnerable plaque, and microbubbles. Sodium fluoride ⁃PET, targeted drug delivery, OCT, photoacoustic imaging, ROS, and oxidative stress were identified as the potential trends. Conclusion: Molecular imaging research in atherosclerosis has attracted extensive attention in academia, while the challenges of clinical transformation faced in this field have been described in this review. The findings of the present research can inform funding agencies and researchers toward future directions.
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15
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Wu M, Li X, Mu X, Zhang X, Wang H, Zhang XD. Multimodal molecular imaging in the second near-infrared window. Nanomedicine (Lond) 2022; 17:1585-1606. [PMID: 36476011 DOI: 10.2217/nnm-2022-0124] [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: 12/13/2022] Open
Abstract
Near-infrared-II (NIR-II) fluorescence imaging has rapidly developed for the noninvasive investigation of physiological and pathological activities in living organisms with high spatiotemporal resolution. However, the penetration depth of fluorescence restricts its ability to provide deep anatomical information. Scientists integrate NIR-II fluorescence imaging with other imaging modes (such as photoacoustic and magnetic resonance imaging) to create multimodal imaging that can acquire detailed anatomical and quantitative information with deeper penetration by using multifunctional probes. This review offers a comprehensive picture of NIR-II-based dual/multimodal imaging probes and highlights advances in bioimaging and therapy. In addition, seminal studies and trends in multimodal imaging probes activated by NIR-II laser are summarized and several key points regarding future clinical translation are elucidated.
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Affiliation(s)
- Menglin Wu
- Tianjin Key Laboratory of Brain Science & Neural Engineering, Academy of Medical Engineering & Translational Medicine, Tianjin University, Tianjin, 300072, China.,Department of Radiology, Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Xue Li
- Department of Radiology, Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Xiaoyu Mu
- Tianjin Key Laboratory of Brain Science & Neural Engineering, Academy of Medical Engineering & Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Xuening Zhang
- Department of Radiology, Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Hao Wang
- Tianjin Key Laboratory of Brain Science & Neural Engineering, Academy of Medical Engineering & Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Xiao-Dong Zhang
- Tianjin Key Laboratory of Brain Science & Neural Engineering, Academy of Medical Engineering & Translational Medicine, Tianjin University, Tianjin, 300072, China.,Department of Physics & Tianjin Key Laboratory of Low Dimensional Materials Physics & Preparing Technology, School of Sciences, Tianjin University, Tianjin, 300350, China
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