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Liu S, Liu F, Hou X, Zhang Q, Ren Y, Zhu H, Yang Z, Xu X. KRAS Mutation Detection with (2 S,4 R)-4-[ 18F]FGln for Noninvasive PDAC Diagnosis. Mol Pharm 2024; 21:2034-2042. [PMID: 38456403 PMCID: PMC10989612 DOI: 10.1021/acs.molpharmaceut.4c00082] [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: 01/25/2024] [Revised: 02/20/2024] [Accepted: 02/21/2024] [Indexed: 03/09/2024]
Abstract
Pancreatic ductal adenocarcinoma (PDAC), which has a poor prognosis and nonspecific symptoms and progresses rapidly, is the most common pancreatic cancer type. Inhibitors targeting KRAS G12D and G12C mutations have been pivotal in PDAC treatment. Cancer cells with different KRAS mutations exhibit various degrees of glutamine dependency; in particular, cells with KRAS G12D mutations exhibit increased glutamine uptake. (2S,4R)-4-[18F]FGln has recently been developed for clinical cancer diagnosis and tumor cell metabolism analysis. Thus, we verified the heterogeneity of glutamine dependency in PDAC models with different KRAS mutations by a visual and noninvasive method with (2S,4R)-4-[18F]FGln. Two tumor-bearing mouse models (bearing the KRAS G12D or G12C mutation) were injected with (2S,4R)-4-[18F]FGln, and positron emission tomography (PET) imaging features and biodistribution were observed and analyzed. The SUVmax in the regions of interest (ROI) was significantly higher in PANC-1 (G12D) tumors than in MIA PaCa-2 (G12C) tumors. Biodistribution analysis revealed higher tumor accumulation of (2S,4R)-4-[18F]FGln and other metrics, such as T/M and T/B, in the PANC-1 mouse models compared to those in the MIAPaCa-2 mouse models. In conclusion, PDAC cells with the KRAS G12D and G12C mutations exhibit various degrees of (2S,4R)-4-[18F]FGln uptake, indicating that (2S,4R)-4-[18F]FGln might be applied to detect KRAS G12C and G12D mutations and provide treatment guidance.
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Affiliation(s)
| | | | - Xingguo 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
| | - Qian Zhang
- 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
| | - 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
| | - Xiaoxia Xu
- 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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2
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Raimondi V, Toscani D, Marchica V, Burroughs-Garcia J, Storti P, Giuliani N. Metabolic features of myeloma cells in the context of bone microenvironment: Implication for the pathophysiology and clinic of myeloma bone disease. Front Oncol 2022; 12:1015402. [PMID: 36313705 PMCID: PMC9608343 DOI: 10.3389/fonc.2022.1015402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 09/27/2022] [Indexed: 11/18/2022] Open
Abstract
Multiple myeloma (MM) is a hematological malignancy characterized by the accumulation of malignant plasma cells (PCs) into the bone marrow (BM). The complex interaction between the BM microenvironment and MM PCs can lead to severe impairment of bone remodeling. Indeed, the BM microenvironment exerts a critical role in the survival of malignant PCs. Growing evidence indicates that MM cells have several metabolic features including enhanced glycolysis and an increase in lactate production through the upregulation of glucose transporters and enzymes. More recently, it has been reported that MM cells arehighly glutamine addicted. Interestingly, these metabolic changes in MM cells may affect BM microenvironment cells by altering the differentiation process of osteoblasts from mesenchymal stromal cells. The identification of glutamine metabolism alterations in MM cells and bone microenvironment may provide a rationale to design new therapeutic approaches and diagnostic tools. The osteolytic lesions are the most frequent clinical features in MM patients, often characterized by pathological fractures and acute pain. The use of the newer imaging techniques such as Magnetic Resonance Imaging (MRI) and combined Positron Emission Tomography (PET) and Computerized Tomography (CT) has been introduced into clinical practice to better define the skeletal involvement. Currently, the PET/CT with 18F-fluorodeoxyglucose (FDG) is the diagnostic gold standard to detect active MM bone disease due to the high glycolytic activity of MM cells. However, new tracers are actively under investigation because a portion of MM patients remains negative at the skeletal level by 18F-FDG. In this review, we will summarize the existing knowledge on the metabolic alterations of MM cells considering their impact on the BM microenvironment cells and particularly in the subsequent formation of osteolytic bone lesions. Based on this, we will discuss the identification of possible new druggable targets and the use of novel metabolic targets for PET imaging in the detection of skeletal lesions, in the staging and treatment response of MM patients.
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Affiliation(s)
- Vincenzo Raimondi
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Denise Toscani
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | | | | | - Paola Storti
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- *Correspondence: Paola Storti, ; Nicola Giuliani,
| | - Nicola Giuliani
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Hematology, “Azienda Ospedaliero-Universitaria di Parma”, Parma, Italy
- *Correspondence: Paola Storti, ; Nicola Giuliani,
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3
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[18F]-(2S,4R)4-Fluoroglutamine PET Imaging of Glutamine Metabolism in Murine Models of Hepatocellular Carcinoma (HCC). Mol Imaging 2022; 2022:5185951. [PMID: 35967756 PMCID: PMC9351703 DOI: 10.1155/2022/5185951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 07/01/2022] [Accepted: 07/06/2022] [Indexed: 11/18/2022] Open
Abstract
Purpose Quantitative in vivo [18F]-(2S,4R)4-fluoroglutamine ([18F]4-FGln or more simply [18F]FGln) metabolic kinetic parameters are compared with activity levels of glutamine metabolism in different types of hepatocellular carcinoma (HCC). Methods For this study, we used two transgenic mouse models of HCC induced by protooncogenes, MYC, and MET. Biochemical data have shown that tumors induced by MYC have increased levels of glutamine metabolism compared to those induced by MET. One-hour dynamic [18F]FGln PET data were acquired and reconstructed for fasted MYC mice (n = 11 tumors from 7 animals), fasted MET mice (n = 8 tumors from 6 animals), fasted FVBN controls (n = 8 normal liver regions from 6 animals), nonfasted MYC mice (n = 16 tumors from 6 animals), and nonfasted FVBN controls (n = 8 normal liver regions from 3 animals). The influx rate constants (K1) using the one-tissue compartment model were derived for each tumor with the left ventricular blood pool input function. Results Influx rate constants were significantly higher for MYC tumors (K1 = 0.374 ± 0.133) than for MET tumors (K1 = 0.141 ± 0.058) under fasting conditions (P = 0.0002). Rate constants were also significantly lower for MET tumors (K1 = 0.141 ± 0.135) than normal livers (K1 = 0.332 ± 0.179) under fasting conditions (P = 0.0123). Fasting conditions tested for MYC tumors and normal livers did not result in any significant difference with P values > 0.005. Conclusion Higher influx rate constants corresponded to elevated levels of glutamine metabolism as determined by biochemical assays. The data showed that there is a distinctive difference in glutamine metabolism between MYC and MET tumors. Our study has demonstrated the potential of [18F]FGln PET imaging as a tool to assess glutamine metabolism in HCC tumors in vivo with a caution that it may not be able to clearly distinguish HCC tumors from normal liver tissue.
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Palani S, Miner MWG, Virta J, Liljenbäck H, Eskola O, Örd T, Ravindran A, Kaikkonen MU, Knuuti J, Li XG, Saraste A, Roivainen A. Exploiting Glutamine Consumption in Atherosclerotic Lesions by Positron Emission Tomography Tracer (2S,4R)-4-18F-Fluoroglutamine. Front Immunol 2022; 13:821423. [PMID: 35145523 PMCID: PMC8822173 DOI: 10.3389/fimmu.2022.821423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 01/03/2022] [Indexed: 11/23/2022] Open
Abstract
Increased glutamine metabolism by macrophages is associated with development of atherosclerotic lesions. Positron emission tomography/computed tomography (PET/CT) with a glutamine analog (2S,4R)-4-18F-fluoroglutamine (18F-FGln) allows quantification of glutamine consumption in vivo. Here, we investigated uptake of 18F-FGln by atherosclerotic lesions in mice and compared the results with those obtained using the glucose analog 2-deoxy-2-18F-fluoro-D-glucose (18F-FDG). Uptake of 18F-FGln and 18F-FDG by healthy control mice (C57BL/6JRj) and atherosclerotic low-density lipoprotein receptor-deficient mice expressing only apolipoprotein B100 (LDLR−/−ApoB100/100) was investigated. The mice were injected intravenously with 18F-FGln or 18F-FDG for in vivo PET/CT imaging. After sacrifice at 70 minutes post-injection, tracer uptake was analyzed by gamma counting of excised tissues and by autoradiography of aorta cryosections, together with histological and immunohistochemical analyses. We found that myocardial uptake of 18F-FGln was low. PET/CT detected lesions in the aortic arch, with a target-to-background ratio (SUVmax, aortic arch/SUVmean, blood) of 1.95 ± 0.42 (mean ± standard deviation). Gamma counting revealed that aortic uptake of 18F-FGln by LDLR−/−ApoB100/100 mice (standardized uptake value [SUV], 0.35 ± 0.06) was significantly higher than that by healthy controls (0.20 ± 0.08, P = 0.03). More detailed analysis by autoradiography revealed that the plaque-to-healthy vessel wall ratio of 18F-FGln (2.90 ± 0.42) was significantly higher than that of 18F-FDG (1.93 ± 0.22, P = 0.004). Immunohistochemical staining confirmed that 18F-FGln uptake in plaques co-localized with glutamine transporter SLC7A7-positive macrophages. Collectively these data show that the 18F-FGln PET tracer detects inflamed atherosclerotic lesions. Thus, exploiting glutamine consumption using 18F-FGln PET may have translational relevance for studying atherosclerotic inflammation.
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Affiliation(s)
- Senthil Palani
- Turku PET Centre, University of Turku, Turku, Finland
- *Correspondence: Anne Roivainen, ; Senthil Palani,
| | | | - Jenni Virta
- Turku PET Centre, University of Turku, Turku, Finland
| | - Heidi Liljenbäck
- Turku PET Centre, University of Turku, Turku, Finland
- Turku Center for Disease Modeling, University of Turku, Turku, Finland
| | - Olli Eskola
- Turku PET Centre, University of Turku, Turku, Finland
| | - Tiit Örd
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Aarthi Ravindran
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Minna U. Kaikkonen
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Juhani Knuuti
- Turku PET Centre, University of Turku, Turku, Finland
- Turku PET Centre, Turku University Hospital, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Xiang-Guo Li
- Turku PET Centre, University of Turku, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Antti Saraste
- Turku PET Centre, University of Turku, Turku, Finland
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Anne Roivainen
- Turku PET Centre, University of Turku, Turku, Finland
- Turku Center for Disease Modeling, University of Turku, Turku, Finland
- Turku PET Centre, Turku University Hospital, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
- *Correspondence: Anne Roivainen, ; Senthil Palani,
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5
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Ekici S, Nye J, Neill S, Allen J, Shu HK, Fleischer C. Glutamine Imaging: A New Avenue for Glioma Management. AJNR Am J Neuroradiol 2022; 43:11-18. [PMID: 34737183 PMCID: PMC8757564 DOI: 10.3174/ajnr.a7333] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 08/04/2021] [Indexed: 01/03/2023]
Abstract
The glutamine pathway is emerging as an important marker of cancer prognosis and a target for new treatments. In gliomas, the most common type of brain tumors, metabolic reprogramming leads to abnormal consumption of glutamine as an energy source, and increased glutamine concentrations are associated with treatment resistance and proliferation. A key challenge in the development of glutamine-based biomarkers and therapies is the limited number of in vivo tools to noninvasively assess local glutamine metabolism and monitor its changes. In this review, we describe the importance of glutamine metabolism in gliomas and review the current landscape of translational and emerging imaging techniques to measure glutamine in the brain. These techniques include MRS, PET, SPECT, and preclinical methods such as fluorescence and mass spectrometry imaging. Finally, we discuss the roadblocks that must be overcome before incorporating glutamine into a personalized approach for glioma management.
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Affiliation(s)
- S. Ekici
- From the Departments of Radiology and Imaging Sciences (S.E., J.A.N., J.W.A., C.C.F.)
| | - J.A. Nye
- From the Departments of Radiology and Imaging Sciences (S.E., J.A.N., J.W.A., C.C.F.)
| | - S.G. Neill
- Pathology and Laboratory Medicine (S.G.N.), Emory University School of Medicine, Atlanta, Georgia
| | - J.W. Allen
- From the Departments of Radiology and Imaging Sciences (S.E., J.A.N., J.W.A., C.C.F.),Neurology (J.W.A.), Emory University School of Medicine, Atlanta, Georgia
| | - H.-K. Shu
- Radiation Oncology (H.-K.S.), Emory University School of Medicine, Atlanta, Georgia
| | - C.C. Fleischer
- From the Departments of Radiology and Imaging Sciences (S.E., J.A.N., J.W.A., C.C.F.),Wallace H. Coulter Department of Biomedical Engineering (C.C.F.), Geogria Institute of Technology and Emory University, Atlanta, Georgia
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Cohen AS, Grudzinski J, Smith GT, Peterson TE, Whisenant JG, Hickman TL, Ciombor KK, Cardin D, Eng C, Goff LW, Das S, Coffey RJ, Berlin JD, Manning HC. First-in-Human PET Imaging and Estimated Radiation Dosimetry of l-[5- 11C]-Glutamine in Patients with Metastatic Colorectal Cancer. J Nucl Med 2022; 63:36-43. [PMID: 33931465 PMCID: PMC8717201 DOI: 10.2967/jnumed.120.261594] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 03/26/2021] [Indexed: 12/23/2022] Open
Abstract
Altered metabolism is a hallmark of cancer. In addition to glucose, glutamine is an important nutrient for cellular growth and proliferation. Noninvasive imaging via PET may help facilitate precision treatment of cancer through patient selection and monitoring of treatment response. l-[5-11C]-glutamine (11C-glutamine) is a PET tracer designed to study glutamine uptake and metabolism. The aim of this first-in-human study was to evaluate the radiologic safety and biodistribution of 11C-glutamine for oncologic PET imaging. Methods: Nine patients with confirmed metastatic colorectal cancer underwent PET/CT imaging. Patients received 337.97 ± 44.08 MBq of 11C-glutamine. Dynamic PET acquisitions that were centered over the abdomen or thorax were initiated simultaneously with intravenous tracer administration. After the dynamic acquisition, a whole-body PET/CT scan was acquired. Volume-of-interest analyses were performed to obtain estimates of organ-based absorbed doses of radiation. Results:11C-glutamine was well tolerated in all patients, with no observed safety concerns. The organs with the highest radiation exposure included the bladder, pancreas, and liver. The estimated effective dose was 4.46E-03 ± 7.67E-04 mSv/MBq. Accumulation of 11C-glutamine was elevated and visualized in lung, brain, bone, and liver metastases, suggesting utility for cancer imaging. Conclusion: PET using 11C-glutamine appears safe for human use and allows noninvasive visualization of metastatic colon cancer lesions in multiple organs. Further studies are needed to elucidate its potential for other cancers and for monitoring response to treatment.
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Affiliation(s)
- Allison S Cohen
- Vanderbilt Center for Molecular Probes, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Gary T Smith
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
- Section Chief, Nuclear Medicine, Tennessee Valley Healthcare System, Nashville VA Medical Center, Nashville, Tennessee
| | - Todd E Peterson
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jennifer G Whisenant
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; and
| | - Tiffany L Hickman
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; and
| | - Kristen K Ciombor
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; and
| | - Dana Cardin
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; and
| | - Cathy Eng
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; and
| | - Laura W Goff
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; and
| | - Satya Das
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; and
| | - Robert J Coffey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; and
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee
| | - Jordan D Berlin
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; and
| | - H Charles Manning
- Vanderbilt Center for Molecular Probes, Vanderbilt University Medical Center, Nashville, Tennessee;
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; and
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Valtorta S, Toscani D, Chiu M, Sartori A, Coliva A, Brevi A, Taurino G, Grioni M, Ruffini L, Vacondio F, Zanardi F, Bellone M, Moresco RM, Bussolati O, Giuliani N. [ 18F](2 S,4 R)-4-Fluoroglutamine as a New Positron Emission Tomography Tracer in Myeloma. Front Oncol 2021; 11:760732. [PMID: 34712616 PMCID: PMC8546185 DOI: 10.3389/fonc.2021.760732] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 09/20/2021] [Indexed: 12/15/2022] Open
Abstract
The high glycolytic activity of multiple myeloma (MM) cells is the rationale for use of Positron Emission Tomography (PET) with 18F-fluorodeoxyglucose ([18F]FDG) to detect both bone marrow (BM) and extramedullary disease. However, new tracers are actively searched because [18F]FDG-PET has some limitations and there is a portion of MM patients who are negative. Glutamine (Gln) addiction has been recently described as a typical metabolic feature of MM cells. Yet, the possible exploitation of Gln as a PET tracer in MM has never been assessed so far and is investigated in this study in preclinical models. Firstly, we have synthesized enantiopure (2S,4R)-4-fluoroglutamine (4-FGln) and validated it as a Gln transport analogue in human MM cell lines, comparing its uptake with that of 3H-labelled Gln. We then radiosynthesized [18F]4-FGln, tested its uptake in two different in vivo murine MM models, and checked the effect of Bortezomib, a proteasome inhibitor currently used in the treatment of MM. Both [18F]4-FGln and [18F]FDG clearly identified the spleen as site of MM cell colonization in C57BL/6 mice, challenged with syngeneic Vk12598 cells and assessed by PET. NOD.SCID mice, subcutaneously injected with human MM JJN3 cells, showed high values of both [18F]4-FGln and [18F]FDG uptake. Bortezomib significantly reduced the uptake of both radiopharmaceuticals in comparison with vehicle at post treatment PET. However, a reduction of glutaminolytic, but not of glycolytic, tumor volume was evident in mice showing the highest response to Bortezomib. Our data indicate that [18F](2S,4R)-4-FGln is a new PET tracer in preclinical MM models, yielding a rationale to design studies in MM patients.
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Affiliation(s)
- Silvia Valtorta
- Department of Medicine and Surgery and Tecnomed Foundation, University of Milan Bicocca, Milano, Italy.,Department of Nuclear Medicine, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milano, Italy
| | - Denise Toscani
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Martina Chiu
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Andrea Sartori
- Department of Food and Drug, University of Parma, Parma, Italy
| | - Angela Coliva
- Department of Nuclear Medicine, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milano, Italy
| | - Arianna Brevi
- Division of Immunology, Transplantation and Infectious Diseases, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milano, Italy
| | - Giuseppe Taurino
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Matteo Grioni
- Division of Immunology, Transplantation and Infectious Diseases, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milano, Italy
| | - Livia Ruffini
- Nuclear Medicine, "Azienda Ospedaliero-Universitaria di Parma", Parma, Italy
| | | | - Franca Zanardi
- Department of Food and Drug, University of Parma, Parma, Italy
| | - Matteo Bellone
- Division of Immunology, Transplantation and Infectious Diseases, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milano, Italy
| | - Rosa Maria Moresco
- Department of Medicine and Surgery and Tecnomed Foundation, University of Milan Bicocca, Milano, Italy.,Department of Nuclear Medicine, San Raffaele Scientific Institute, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milano, Italy.,Institute of Bioimaging and Molecular Physiology, National Research Council (IBFM-CNR), Milano, Italy
| | - Ovidio Bussolati
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Nicola Giuliani
- Department of Medicine and Surgery, University of Parma, Parma, Italy.,Hematology, "Azienda Ospedaliero-Universitaria di Parma", Parma, Italy
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8
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Miner MWG, Liljenbäck H, Virta J, Helin S, Eskola O, Elo P, Teuho J, Seppälä K, Oikonen V, Yang G, Kindler-Röhrborn A, Minn H, Li XG, Roivainen A. Comparison of: (2 S,4 R)-4-[ 18F]Fluoroglutamine, [ 11C]Methionine, and 2-Deoxy-2-[ 18F]Fluoro- D-Glucose and Two Small-Animal PET/CT Systems Imaging Rat Gliomas. Front Oncol 2021; 11:730358. [PMID: 34692505 PMCID: PMC8530378 DOI: 10.3389/fonc.2021.730358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 09/14/2021] [Indexed: 12/04/2022] Open
Abstract
Purpose The three positron emission tomography (PET) imaging compounds: (2S,4R)-4-[18F]Fluoroglutamine ([18F]FGln), L-[methyl-11C]Methionine ([11C]Met), and 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) were investigated to contrast their ability to image orthotopic BT4C gliomas in BDIX rats. Two separate small animal imaging systems were compared for their tumor detection potential. Dynamic acquisition of [18F]FGln was evaluated with multiple pharmacokinetic models for future quantitative comparison. Procedures Up to four imaging studies were performed on each orthotopically grafted BT4C glioma-bearing BDIX rat subject (n = 16) on four consecutive days. First, a DOTAREM® contrast enhanced MRI followed by attenuation correction CT and dynamic PET imaging with each radiopharmaceutical (20 min [11C]Met, 60 min [18F]FDG, and 60 min [18F]FGln with either the Molecubes PET/CT (n = 5) or Inveon PET/CT cameras (n = 11). Ex vivo brain autoradiography was completed for each radiopharmaceutical and [18F]FGln pharmacokinetics were studied by injecting 40 MBq into healthy BDIX rats (n = 10) and collecting blood samples between 5 and 60 min. Erythrocyte uptake, plasma protein binding and plasma parent-fraction were combined to estimate the total blood bioavailability of [18F]FGln over time. The corrected PET-image blood data was then applied to multiple pharmacokinetic models. Results Average BT4C tumor-to-healthy brain tissue uptake ratios (TBR) for PET images reached maxima of: [18F]FGln TBR: 1.99 ± 0.19 (n = 13), [18F]FDG TBR: 1.41 ± 0.11 (n = 6), and [11C]Met TBR: 1.08 ± 0.08, (n = 12) for the dynamic PET images. Pharmacokinetic modeling in dynamic [18F]FGln studies suggested both reversible and irreversible uptake play a similar role. Imaging with Inveon and Molecubes yielded similar end-result ratios with insignificant differences (p > 0.25). Conclusions In orthotopic BT4C gliomas, [18F]FGln may offer improved imaging versus [11C]Met and [18F]FDG. No significant difference in normalized end-result data was found between the Inveon and Molecubes camera systems. Kinetic modelling of [18F]FGln uptake suggests that both reversible and irreversible uptake play an important role in BDIX rat pharmacokinetics.
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Affiliation(s)
| | - Heidi Liljenbäck
- Turku PET Centre, University of Turku, Turku, Finland.,Turku Center for Disease Modeling, University of Turku, Turku, Finland
| | - Jenni Virta
- Turku PET Centre, University of Turku, Turku, Finland
| | - Semi Helin
- Turku PET Centre, University of Turku, Turku, Finland
| | - Olli Eskola
- Turku PET Centre, University of Turku, Turku, Finland
| | - Petri Elo
- Turku PET Centre, University of Turku, Turku, Finland
| | - Jarmo Teuho
- Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Kerttu Seppälä
- Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Vesa Oikonen
- Turku PET Centre, University of Turku, Turku, Finland
| | - Guangli Yang
- Organic Synthesis Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Andrea Kindler-Röhrborn
- Institute of Pathology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Heikki Minn
- Turku PET Centre, University of Turku, Turku, Finland.,Department of Oncology and Radiotherapy, Turku University Hospital, Turku, Finland
| | - Xiang-Guo Li
- Turku PET Centre, University of Turku, Turku, Finland.,InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Anne Roivainen
- Turku PET Centre, University of Turku, Turku, Finland.,Turku Center for Disease Modeling, University of Turku, Turku, Finland.,Turku PET Centre, Turku University Hospital, Turku, Finland.,InFLAMES Research Flagship Center, University of Turku, Turku, Finland
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9
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Viswanath V, Zhou R, Lee H, Li S, Cragin A, Doot RK, Mankoff DA, Pantel AR. Kinetic Modeling of 18F-(2 S,4 R)4-Fluoroglutamine in Mouse Models of Breast Cancer to Estimate Glutamine Pool Size as an Indicator of Tumor Glutamine Metabolism. J Nucl Med 2021; 62:1154-1162. [PMID: 33277391 PMCID: PMC8833875 DOI: 10.2967/jnumed.120.250977] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 10/19/2020] [Indexed: 02/01/2023] Open
Abstract
The PET radiotracer 18F-(2S,4R)4-fluoroglutamine (18F-Gln) reflects glutamine transport and can be used to infer glutamine metabolism. Mouse xenograft studies have demonstrated that 18F-Gln uptake correlates directly with glutamine pool size and is inversely related to glutamine metabolism through the glutaminase enzyme. To provide a framework for the analysis of 18F-Gln-PET, we have examined 18F-Gln uptake kinetics in mouse models of breast cancer at baseline and after inhibition of glutaminase. We describe results of the preclinical analysis and computer simulations with the goal of model validation and performance assessment in anticipation of human breast cancer patient studies. Methods: Triple-negative breast cancer and receptor-positive xenografts were implanted in athymic mice. PET mouse imaging was performed at baseline and after treatment with a glutaminase inhibitor or a vehicle solution for 4 mouse groups. Dynamic PET images were obtained for 1 h beginning at the time of intravenous injection of 18F-Gln. Kinetic analysis and computer simulations were performed on representative time-activity curves, testing 1- and 2-compartment models to describe kinetics. Results: Dynamic imaging for 1 h captured blood and tumor time-activity curves indicative of largely reversible uptake of 18F-Gln in tumors. Consistent with this observation, a 2-compartment model indicated a relatively low estimate of the rate constant of tracer trapping, suggesting that the 1-compartment model is preferable. Logan plot graphical analysis demonstrated late linearity, supporting reversible kinetics and modeling with a single compartment. Analysis of the mouse data and simulations suggests that estimates of glutamine pool size, specifically the distribution volume (VD) for 18F-Gln, were more reliable using the 1-compartment reversible model than the 2-compartment irreversible model. Tumor-to-blood ratios, a more practical potential proxy of VD, correlated well with volume of distribution from single-compartment models and Logan analyses. Conclusion: Kinetic analysis of dynamic 18F-Gln-PET images demonstrated the ability to measure VD to estimate glutamine pool size, a key indicator of cellular glutamine metabolism, by both a 1-compartment model and Logan analysis. Changes in VD with glutaminase inhibition support the ability to assess response to glutamine metabolism-targeted therapy. Concordance of kinetic measures with tumor-to-blood ratios provides a clinically feasible approach to human imaging.
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Affiliation(s)
- Varsha Viswanath
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Rong Zhou
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Hsiaoju Lee
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Shihong Li
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Abigail Cragin
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Robert K Doot
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David A Mankoff
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Austin R Pantel
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
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10
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Bolcaen J, Kleynhans J, Nair S, Verhoeven J, Goethals I, Sathekge M, Vandevoorde C, Ebenhan T. A perspective on the radiopharmaceutical requirements for imaging and therapy of glioblastoma. Theranostics 2021; 11:7911-7947. [PMID: 34335972 PMCID: PMC8315062 DOI: 10.7150/thno.56639] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 03/29/2021] [Indexed: 11/26/2022] Open
Abstract
Despite numerous clinical trials and pre-clinical developments, the treatment of glioblastoma (GB) remains a challenge. The current survival rate of GB averages one year, even with an optimal standard of care. However, the future promises efficient patient-tailored treatments, including targeted radionuclide therapy (TRT). Advances in radiopharmaceutical development have unlocked the possibility to assess disease at the molecular level allowing individual diagnosis. This leads to the possibility of choosing a tailored, targeted approach for therapeutic modalities. Therapeutic modalities based on radiopharmaceuticals are an exciting development with great potential to promote a personalised approach to medicine. However, an effective targeted radionuclide therapy (TRT) for the treatment of GB entails caveats and requisites. This review provides an overview of existing nuclear imaging and TRT strategies for GB. A critical discussion of the optimal characteristics for new GB targeting therapeutic radiopharmaceuticals and clinical indications are provided. Considerations for target selection are discussed, i.e. specific presence of the target, expression level and pharmacological access to the target, with particular attention to blood-brain barrier crossing. An overview of the most promising radionuclides is given along with a validation of the relevant radiopharmaceuticals and theranostic agents (based on small molecules, peptides and monoclonal antibodies). Moreover, toxicity issues and safety pharmacology aspects will be presented, both in general and for the brain in particular.
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Affiliation(s)
- Julie Bolcaen
- Radiobiology, Radiation Biophysics Division, Nuclear Medicine Department, iThemba LABS, Cape Town, South Africa
| | - Janke Kleynhans
- Nuclear Medicine Research Infrastructure NPC, Pretoria, South Africa
- Nuclear Medicine Department, University of Pretoria and Steve Biko Academic Hospital, Pretoria, South Africa
| | - Shankari Nair
- Radiobiology, Radiation Biophysics Division, Nuclear Medicine Department, iThemba LABS, Cape Town, South Africa
| | | | - Ingeborg Goethals
- Ghent University Hospital, Department of Nuclear Medicine, Ghent, Belgium
| | - Mike Sathekge
- Nuclear Medicine Research Infrastructure NPC, Pretoria, South Africa
- Nuclear Medicine Department, University of Pretoria and Steve Biko Academic Hospital, Pretoria, South Africa
| | - Charlot Vandevoorde
- Radiobiology, Radiation Biophysics Division, Nuclear Medicine Department, iThemba LABS, Cape Town, South Africa
| | - Thomas Ebenhan
- Nuclear Medicine Research Infrastructure NPC, Pretoria, South Africa
- Nuclear Medicine Department, University of Pretoria, Pretoria, South Africa
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11
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Hicks WH, Bird CE, Traylor JI, Shi DD, El Ahmadieh TY, Richardson TE, McBrayer SK, Abdullah KG. Contemporary Mouse Models in Glioma Research. Cells 2021; 10:cells10030712. [PMID: 33806933 PMCID: PMC8004772 DOI: 10.3390/cells10030712] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 03/20/2021] [Accepted: 03/20/2021] [Indexed: 02/07/2023] Open
Abstract
Despite advances in understanding of the molecular pathogenesis of glioma, outcomes remain dismal. Developing successful treatments for glioma requires faithful in vivo disease modeling and rigorous preclinical testing. Murine models, including xenograft, syngeneic, and genetically engineered models, are used to study glioma-genesis, identify methods of tumor progression, and test novel treatment strategies. Since the discovery of highly recurrent isocitrate dehydrogenase (IDH) mutations in lower-grade gliomas, there is increasing emphasis on effective modeling of IDH mutant brain tumors. Improvements in preclinical models that capture the phenotypic and molecular heterogeneity of gliomas are critical for the development of effective new therapies. Herein, we explore the current status, advancements, and challenges with contemporary murine glioma models.
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Affiliation(s)
- William H. Hicks
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (W.H.H.); (C.E.B.); (J.I.T.); (T.Y.E.A.)
| | - Cylaina E. Bird
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (W.H.H.); (C.E.B.); (J.I.T.); (T.Y.E.A.)
| | - Jeffrey I. Traylor
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (W.H.H.); (C.E.B.); (J.I.T.); (T.Y.E.A.)
| | - Diana D. Shi
- Department of Radiation Oncology, Brigham and Women’s Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA;
| | - Tarek Y. El Ahmadieh
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (W.H.H.); (C.E.B.); (J.I.T.); (T.Y.E.A.)
| | - Timothy E. Richardson
- Department of Pathology, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, TX 75229, USA;
| | - Samuel K. McBrayer
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Harrold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
- Correspondence: (S.K.M.); (K.G.A.)
| | - Kalil G. Abdullah
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA; (W.H.H.); (C.E.B.); (J.I.T.); (T.Y.E.A.)
- Harrold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
- Peter O’Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
- Correspondence: (S.K.M.); (K.G.A.)
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12
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Borja AJ, Hancin EC, Raynor WY, Ayubcha C, Detchou DK, Werner TJ, Revheim ME, Alavi A. A Critical Review of PET Tracers Used for Brain Tumor Imaging. PET Clin 2021; 16:219-231. [PMID: 33589386 DOI: 10.1016/j.cpet.2020.12.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The brain is a common site for metastases as well as primary tumors. Although evaluation of these malignancies with contrast-enhanced MR imaging defines current clinical practice, 18F-fluorodeoxyglucose (FDG)-PET has shown considerable utility in this area. In addition, many other tracers targeting various aspects of tumor biology have been developed and tested. This article discusses recent developments in PET imaging and the anticipated role of FDG and other tracers in the assessment of brain tumors.
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Affiliation(s)
- Austin J Borja
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104, USA
| | - Emily C Hancin
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Lewis Katz School of Medicine at Temple University, 3500 North Broad Street, Philadelphia, PA 19140, USA
| | - William Y Raynor
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Drexel University College of Medicine, 2900 West Queen Lane, Philadelphia, PA 19129, USA
| | - Cyrus Ayubcha
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA
| | - Donald K Detchou
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104, USA
| | - Thomas J Werner
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Mona-Elisabeth Revheim
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Sognsvannsveien 20, Oslo 0372, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Problemveien 7, Oslo 0315, Norway
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.
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13
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Take Advantage of Glutamine Anaplerosis, the Kernel of the Metabolic Rewiring in Malignant Gliomas. Biomolecules 2020; 10:biom10101370. [PMID: 32993063 PMCID: PMC7599606 DOI: 10.3390/biom10101370] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 09/18/2020] [Accepted: 09/24/2020] [Indexed: 12/11/2022] Open
Abstract
Glutamine is a non-essential amino acid that plays a key role in the metabolism of proliferating cells including neoplastic cells. In the central nervous system (CNS), glutamine metabolism is particularly relevant, because the glutamine-glutamate cycle is a way of controlling the production of glutamate-derived neurotransmitters by tightly regulating the bioavailability of the amino acids in a neuron-astrocyte metabolic symbiosis-dependent manner. Glutamine-related metabolic adjustments have been reported in several CNS malignancies including malignant gliomas that are considered ‘glutamine addicted’. In these tumors, glutamine becomes an essential amino acid preferentially used in energy and biomass production including glutathione (GSH) generation, which is crucial in oxidative stress control. Therefore, in this review, we will highlight the metabolic remodeling that gliomas undergo, focusing on glutamine metabolism. We will address some therapeutic regimens including novel research attempts to target glutamine metabolism and a brief update of diagnosis strategies that take advantage of this altered profile. A better understanding of malignant glioma cell metabolism will help in the identification of new molecular targets and the design of new therapies.
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14
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Valtorta S, Salvatore D, Rainone P, Belloli S, Bertoli G, Moresco RM. Molecular and Cellular Complexity of Glioma. Focus on Tumour Microenvironment and the Use of Molecular and Imaging Biomarkers to Overcome Treatment Resistance. Int J Mol Sci 2020; 21:E5631. [PMID: 32781585 PMCID: PMC7460665 DOI: 10.3390/ijms21165631] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 07/31/2020] [Accepted: 08/03/2020] [Indexed: 02/08/2023] Open
Abstract
This review highlights the importance and the complexity of tumour biology and microenvironment in the progression and therapy resistance of glioma. Specific gene mutations, the possible functions of several non-coding microRNAs and the intra-tumour and inter-tumour heterogeneity of cell types contribute to limit the efficacy of the actual therapeutic options. In this scenario, identification of molecular biomarkers of response and the use of multimodal in vivo imaging and in particular the Positron Emission Tomography (PET) based molecular approach, can help identifying glioma features and the modifications occurring during therapy at a regional level. Indeed, a better understanding of tumor heterogeneity and the development of diagnostic procedures can favor the identification of a cluster of patients for personalized medicine in order to improve the survival and their quality of life.
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Affiliation(s)
- Silvia Valtorta
- Department of Medicine and Surgery and Tecnomed Foundation, University of Milano—Bicocca, 20900 Monza, Italy; (S.V.); (D.S.); (P.R.)
- Nuclear Medicine Department, San Raffaele Scientific Institute (IRCCS), 20132 Milan, Italy;
| | - Daniela Salvatore
- Department of Medicine and Surgery and Tecnomed Foundation, University of Milano—Bicocca, 20900 Monza, Italy; (S.V.); (D.S.); (P.R.)
- Nuclear Medicine Department, San Raffaele Scientific Institute (IRCCS), 20132 Milan, Italy;
| | - Paolo Rainone
- Department of Medicine and Surgery and Tecnomed Foundation, University of Milano—Bicocca, 20900 Monza, Italy; (S.V.); (D.S.); (P.R.)
- Nuclear Medicine Department, San Raffaele Scientific Institute (IRCCS), 20132 Milan, Italy;
| | - Sara Belloli
- Nuclear Medicine Department, San Raffaele Scientific Institute (IRCCS), 20132 Milan, Italy;
- Institute of Molecular Bioimaging and Physiology (IBFM), CNR, 20090 Segrate, Italy
| | - Gloria Bertoli
- Institute of Molecular Bioimaging and Physiology (IBFM), CNR, 20090 Segrate, Italy
| | - Rosa Maria Moresco
- Department of Medicine and Surgery and Tecnomed Foundation, University of Milano—Bicocca, 20900 Monza, Italy; (S.V.); (D.S.); (P.R.)
- Nuclear Medicine Department, San Raffaele Scientific Institute (IRCCS), 20132 Milan, Italy;
- Institute of Molecular Bioimaging and Physiology (IBFM), CNR, 20090 Segrate, Italy
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