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Bartos LM, Kirchleitner SV, Kolabas ZI, Quach S, Beck A, Lorenz J, Blobner J, Mueller SA, Ulukaya S, Hoeher L, Horvath I, Wind-Mark K, Holzgreve A, Ruf VC, Gold L, Kunze LH, Kunte ST, Beumers P, Park HE, Antons M, Zatcepin A, Briel N, Hoermann L, Schaefer R, Messerer D, Bartenstein P, Riemenschneider MJ, Lindner S, Ziegler S, Herms J, Lichtenthaler SF, Ertürk A, Tonn JC, von Baumgarten L, Albert NL, Brendel M. Deciphering sources of PET signals in the tumor microenvironment of glioblastoma at cellular resolution. SCIENCE ADVANCES 2023; 9:eadi8986. [PMID: 37889970 PMCID: PMC10610915 DOI: 10.1126/sciadv.adi8986] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023]
Abstract
Various cellular sources hamper interpretation of positron emission tomography (PET) biomarkers in the tumor microenvironment (TME). We developed an approach of immunomagnetic cell sorting after in vivo radiotracer injection (scRadiotracing) with three-dimensional (3D) histology to dissect the cellular allocation of PET signals in the TME. In mice with implanted glioblastoma, translocator protein (TSPO) radiotracer uptake per tumor cell was higher compared to tumor-associated microglia/macrophages (TAMs), validated by protein levels. Translation of in vitro scRadiotracing to patients with glioma immediately after tumor resection confirmed higher single-cell TSPO tracer uptake of tumor cells compared to immune cells. Across species, cellular radiotracer uptake explained the heterogeneity of individual TSPO-PET signals. In consideration of cellular tracer uptake and cell type abundance, tumor cells were the main contributor to TSPO enrichment in glioblastoma; however, proteomics identified potential PET targets highly specific for TAMs. Combining cellular tracer uptake measures with 3D histology facilitates precise allocation of PET signals and serves to validate emerging novel TAM-specific radioligands.
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Affiliation(s)
- Laura M. Bartos
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | | | - Zeynep Ilgin Kolabas
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital of Munich, LMU Munich, Munich, Germany
- Graduate School of Systemic Neurosciences (GSN), Munich, Germany
| | - Stefanie Quach
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Alexander Beck
- Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Julia Lorenz
- Department of Neuropathology, Regensburg University Hospital, Regensburg, Germany
| | - Jens Blobner
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Stephan A. Mueller
- Neuroproteomics, School of Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
| | - Selin Ulukaya
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
- Faculty of Biology, Master of Science Program in Molecular and Cellular Biology, Ludwig-Maximilians-Universität München, Planegg, Germany
| | - Luciano Hoeher
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Izabela Horvath
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
- School of Computation, Information and Technology (CIT), TUM, Boltzmannstr. 3, 85748 Garching, Germany
| | - Karin Wind-Mark
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Adrien Holzgreve
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Viktoria C. Ruf
- Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Lukas Gold
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Lea H. Kunze
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Sebastian T. Kunte
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Philipp Beumers
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Ha Eun Park
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Melissa Antons
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Artem Zatcepin
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
| | - Nils Briel
- Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
| | - Leonie Hoermann
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Rebecca Schaefer
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Denise Messerer
- Department of Cardiology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | | | - Simon Lindner
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Sibylle Ziegler
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Jochen Herms
- Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Stefan F. Lichtenthaler
- Neuroproteomics, School of Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital of Munich, LMU Munich, Munich, Germany
- Graduate School of Systemic Neurosciences (GSN), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Joerg C. Tonn
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Louisa von Baumgarten
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nathalie L. Albert
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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2
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Albert NL, Nelwan DV, Fleischmann DF, Quach S, von Rohr K, Kaiser L, Teske N, Unterrainer LM, Bartos LM, Ruf VC, Brendel M, Riemenschneider MJ, Wetzel C, Herms J, Rupprecht R, Thon N, Tonn JC, Belka C, Bartenstein P, von Baumgarten L, Niyazi M, Unterrainer M, Holzgreve A. Prognostic Value of TSPO PET Before Radiotherapy in Newly Diagnosed IDH-Wild-Type Glioblastoma. J Nucl Med 2023; 64:1519-1525. [PMID: 37536737 PMCID: PMC10586482 DOI: 10.2967/jnumed.122.265247] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 05/31/2023] [Indexed: 08/05/2023] Open
Abstract
The 18-kDa translocator protein (TSPO) is gaining recognition as a relevant target in glioblastoma imaging. However, data on the potential prognostic value of TSPO PET imaging in glioblastoma are lacking. Therefore, we investigated the association of TSPO PET imaging results with survival outcome in a homogeneous cohort of glioblastoma patients. Methods: Patients were included who had newly diagnosed, histologically confirmed isocitrate dehydrogenase (IDH)-wild-type glioblastoma with available TSPO PET before either normofractionated radiotherapy combined with temozolomide or hypofractionated radiotherapy. SUVmax on TSPO PET, TSPO binding affinity status, tumor volumes on MRI, and further clinical data, such as O 6-alkylguanine DNA methyltransferase (MGMT) and telomerase reverse transcriptase (TERT) gene promoter mutation status, were correlated with patient survival. Results: Forty-five patients (median age, 63.3 y) were included. Median SUVmax was 2.2 (range, 1.0-4.7). A TSPO PET signal was associated with survival: High uptake intensity (SUVmax > 2.2) was related to significantly shorter overall survival (OS; 8.3 vs. 17.8 mo, P = 0.037). Besides SUVmax, prognostic factors for OS were age (P = 0.046), MGMT promoter methylation status (P = 0.032), and T2-weighted MRI volume (P = 0.031). In the multivariate survival analysis, SUVmax in TSPO PET remained an independent prognostic factor for OS (P = 0.023), with a hazard ratio of 2.212 (95% CI, 1.115-4.386) for death in cases with a high TSPO PET signal (SUVmax > 2.2). Conclusion: A high TSPO PET signal before radiotherapy is associated with significantly shorter survival in patients with newly diagnosed IDH-wild-type glioblastoma. TSPO PET seems to add prognostic insights beyond established clinical parameters and might serve as an informative tool as clinicians make survival predictions for patients with glioblastoma.
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Affiliation(s)
- Nathalie L Albert
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- German Cancer Consortium, Partner Site Munich, German Cancer Research Center, Munich, Germany
- Bavarian Cancer Research Center, Erlangen, Germany
| | - Debie V Nelwan
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Daniel F Fleischmann
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Stefanie Quach
- Department of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany
| | - Katharina von Rohr
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Lena Kaiser
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Nico Teske
- German Cancer Consortium, Partner Site Munich, German Cancer Research Center, Munich, Germany
- Department of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany
| | - Lena M Unterrainer
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Laura M Bartos
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Viktoria C Ruf
- Institute of Neuropathology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- SyNergy, University of Munich, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
| | | | - Christian Wetzel
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany; and
| | - Jochen Herms
- Institute of Neuropathology, Faculty of Medicine, LMU Munich, Munich, Germany
- SyNergy, University of Munich, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
| | - Rainer Rupprecht
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany; and
| | - Niklas Thon
- German Cancer Consortium, Partner Site Munich, German Cancer Research Center, Munich, Germany
- Department of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany
| | - Joerg-Christian Tonn
- German Cancer Consortium, Partner Site Munich, German Cancer Research Center, Munich, Germany
- Department of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany
| | - Claus Belka
- German Cancer Consortium, Partner Site Munich, German Cancer Research Center, Munich, Germany
- Bavarian Cancer Research Center, Erlangen, Germany
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- German Cancer Consortium, Partner Site Munich, German Cancer Research Center, Munich, Germany
- SyNergy, University of Munich, Munich, Germany
| | - Louisa von Baumgarten
- German Cancer Consortium, Partner Site Munich, German Cancer Research Center, Munich, Germany
- Bavarian Cancer Research Center, Erlangen, Germany
- Department of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany
| | - Maximilian Niyazi
- German Cancer Consortium, Partner Site Munich, German Cancer Research Center, Munich, Germany
- Bavarian Cancer Research Center, Erlangen, Germany
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Marcus Unterrainer
- German Cancer Consortium, Partner Site Munich, German Cancer Research Center, Munich, Germany
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Adrien Holzgreve
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany;
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Xia W, Singh N, Goel S, Shi S. Molecular Imaging of Innate Immunity and Immunotherapy. Adv Drug Deliv Rev 2023; 198:114865. [PMID: 37182699 DOI: 10.1016/j.addr.2023.114865] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/17/2023] [Accepted: 05/03/2023] [Indexed: 05/16/2023]
Abstract
The innate immune system plays a key role as the first line of defense in various human diseases including cancer, cardiovascular and inflammatory diseases. In contrast to tissue biopsies and blood biopsies, in vivo imaging of the innate immune system can provide whole body measurements of immune cell location and function and changes in response to disease progression and therapy. Rationally developed molecular imaging strategies can be used in evaluating the status and spatio-temporal distributions of the innate immune cells in near real-time, mapping the biodistribution of novel innate immunotherapies, monitoring their efficacy and potential toxicities, and eventually for stratifying patients that are likely to benefit from these immunotherapies. In this review, we will highlight the current state-of-the-art in noninvasive imaging techniques for preclinical imaging of the innate immune system particularly focusing on cell trafficking, biodistribution, as well as pharmacokinetics and dynamics of promising immunotherapies in cancer and other diseases; discuss the unmet needs and current challenges in integrating imaging modalities and immunology and suggest potential solutions to overcome these barriers.
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Affiliation(s)
- Wenxi Xia
- Department of Molecular Pharmaceutics, University of Utah, Salt Lake City, UT 84112, United States
| | - Neetu Singh
- Department of Molecular Pharmaceutics, University of Utah, Salt Lake City, UT 84112, United States
| | - Shreya Goel
- Department of Molecular Pharmaceutics, University of Utah, Salt Lake City, UT 84112, United States; Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, United States; Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84112, United States
| | - Sixiang Shi
- Department of Molecular Pharmaceutics, University of Utah, Salt Lake City, UT 84112, United States; Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84112, United States.
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4
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Zhou Z, Jing Y, Niu Y, Chang T, Sun J, Guo C, Wang Y, Dou G. Distinguished Functions of Microglia in the Two Stages of Oxygen-Induced Retinopathy: A Novel Target in the Treatment of Ischemic Retinopathy. LIFE (BASEL, SWITZERLAND) 2022; 12:life12101676. [PMID: 36295111 PMCID: PMC9604577 DOI: 10.3390/life12101676] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/19/2022] [Accepted: 10/20/2022] [Indexed: 11/17/2022]
Abstract
Microglia is the resident immune cell in the retina, playing the role of immune surveillance in a traditional concept. With the heated focus on the mechanisms of microglia in pathological conditions, more and more functions of microglia have been discovered. Although the regulating role of microglia has been explored in ischemic retinopathy, little is known about its mechanisms in the different stages of the pathological process. Here, we removed microglia in the oxygen-induced retinopathy model by PLX5622 and revealed that the removal of activated microglia reduced pathological angiogenesis in the early stage after ischemic insult and alleviated the over-apoptosis of photoreceptors in the vessel remodeling phase. Our results indicated that microglia might play distinguished functions in the angiogenic and remodeling stages, and that the inhibition of microglia might be a promising target in the future treatment of ischemic retinopathy.
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Affiliation(s)
| | | | | | | | | | | | - Yusheng Wang
- Correspondence: (Y.W.); (G.D.); Tel.: +86-029-84775371 (Y.W.); +86-029-84771273 (G.D.)
| | - Guorui Dou
- Correspondence: (Y.W.); (G.D.); Tel.: +86-029-84775371 (Y.W.); +86-029-84771273 (G.D.)
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5
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Bartos LM, Kirchleitner SV, Blobner J, Wind K, Kunze LH, Holzgreve A, Gold L, Zatcepin A, Kolabas ZI, Ulukaya S, Weidner L, Quach S, Messerer D, Bartenstein P, Tonn JC, Riemenschneider MJ, Ziegler S, von Baumgarten L, Albert NL, Brendel M. 18 kDa translocator protein positron emission tomography facilitates early and robust tumor detection in the immunocompetent SB28 glioblastoma mouse model. Front Med (Lausanne) 2022; 9:992993. [PMID: 36325388 PMCID: PMC9621314 DOI: 10.3389/fmed.2022.992993] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 09/02/2022] [Indexed: 10/29/2023] Open
Abstract
Introduction The 18 kDa translocator protein (TSPO) receives growing interest as a biomarker in glioblastoma. Mouse models can serve as an important tool for the investigation of biomarkers in glioblastoma, but several glioblastoma models indicated only low TSPO-PET signals in contrast to high TSPO-PET signals of human glioblastoma. Thus, we aimed to investigate TSPO-PET imaging in the syngeneic immunocompetent SB28 mouse model, which is thought to closely represent the tumor microenvironment (TME) of human glioblastoma. Methods Dynamic TSPO-PET/CT imaging was performed for 60 min after injection of 13.6 ± 4.2 MBq [18F]GE-180. Contrast enhanced CT (ceCT) was acquired prior to PET and served for assessment of tumor volumes and attenuation correction. SB28 and sham mice were imaged at an early (week-1; n = 6 SB28, n = 6 sham) and a late time-point (week-3; n = 8 SB28, n = 9 sham) after inoculation. Standard of truth ex vivo tumor volumes were obtained for SB28 mice at the late time-point. Tracer kinetics were analyzed for the lesion site and the carotid arteries to establish an image derived input function (IDIF). TSPO-PET and ceCT lesion volumes were compared with ex vivo volumes by calculation of root-mean-square-errors (RMSE). Volumes of distribution (VTmax/mean) in the lesion were calculated using carotid IDIF and standardized uptake values (SUVmax/mean) were obtained for a 40-60 min time frame. Results Higher uptake rate constants (K1) were observed for week-1 SB28 tumor lesions when compared to week-3 SB28 tumor lesions. Highest agreement between TSPO-PET lesion volumes and ex vivo tumor volumes was achieved with a 50% maximum threshold (RMSE-VT: 39.7%; RMSE-SUV: 34.4%), similar to the agreement of ceCT tumor volumes (RMSE: 30.1%). Lesions of SB28 mice had higher PET signal when compared to sham mice at week-1 (VTmax 6.6 ± 2.9 vs. 3.9 ± 0.8, p = 0.035; SUVmax 2.3 ± 0.5 vs. 1.2 ± 0.1, p < 0.001) and PET signals remained at a similar level at week-3 (VTmax 5.0 ± 1.6 vs. 2.7 ± 0.8, p = 0.029; SUVmax 1.9 ± 0.5 vs. 1.2 ± 0.2, p = 0.0012). VTmax correlated with SUVmax (R 2 = 0.532, p < 0.001). Conclusion TSPO-PET imaging of immunocompetent SB28 mice facilitates early detection of tumor signals over sham lesions. SB28 tumors mirror high TSPO-PET signals of human glioblastoma and could serve as a valuable translational model to study TSPO as an imaging biomarker.
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Affiliation(s)
- Laura M. Bartos
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | | | - Jens Blobner
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Karin Wind
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Lea H. Kunze
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Adrien Holzgreve
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Lukas Gold
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Artem Zatcepin
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Zeynep Ilgin Kolabas
- Helmholtz Center, Institute for Tissue Engineering and Regenerative Medicine (iTERM), Munich, Germany
- Institute for Stroke and Dementia Research, University Hospital of Munich, Ludwig- Maximilians University Munich, Munich, Germany
- Graduate School of Systemic Neurosciences (GSN), Munich, Germany
| | - Selin Ulukaya
- Helmholtz Center, Institute for Tissue Engineering and Regenerative Medicine (iTERM), Munich, Germany
- Faculty of Biology, Master of Science Program in Molecular and Cellular Biology, Ludwig-Maximilians-Universität München, Planegg, Germany
| | - Lorraine Weidner
- Department of Neuropathology, Regensburg University Hospital, Regensburg, Germany
| | - Stefanie Quach
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Denise Messerer
- Department of Cardiology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- SyNergy, University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Joerg C. Tonn
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Sibylle Ziegler
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Louisa von Baumgarten
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nathalie L. Albert
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- SyNergy, University of Munich, Munich, Germany
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
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6
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Barca C, Foray C, Zinnhardt B, Winkeler A, Herrlinger U, Grauer OM, Jacobs AH. In Vivo Quantitative Imaging of Glioma Heterogeneity Employing Positron Emission Tomography. Cancers (Basel) 2022; 14:cancers14133139. [PMID: 35804911 PMCID: PMC9264799 DOI: 10.3390/cancers14133139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 06/22/2022] [Accepted: 06/22/2022] [Indexed: 11/16/2022] Open
Abstract
Glioblastoma is the most common primary brain tumor, highly aggressive by being proliferative, neovascularized and invasive, heavily infiltrated by immunosuppressive glioma-associated myeloid cells (GAMs), including glioma-associated microglia/macrophages (GAMM) and myeloid-derived suppressor cells (MDSCs). Quantifying GAMs by molecular imaging could support patient selection for GAMs-targeting immunotherapy, drug target engagement and further assessment of clinical response. Magnetic resonance imaging (MRI) and amino acid positron emission tomography (PET) are clinically established imaging methods informing on tumor size, localization and secondary phenomena but remain quite limited in defining tumor heterogeneity, a key feature of glioma resistance mechanisms. The combination of different imaging modalities improved the in vivo characterization of the tumor mass by defining functionally distinct tissues probably linked to tumor regression, progression and infiltration. In-depth image validation on tracer specificity, biological function and quantification is critical for clinical decision making. The current review provides a comprehensive overview of the relevant experimental and clinical data concerning the spatiotemporal relationship between tumor cells and GAMs using PET imaging, with a special interest in the combination of amino acid and translocator protein (TSPO) PET imaging to define heterogeneity and as therapy readouts.
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Affiliation(s)
- Cristina Barca
- European Institute for Molecular Imaging (EIMI), University of Münster, D-48149 Münster, Germany; (C.F.); (B.Z.)
- Correspondence: (C.B.); (A.H.J.)
| | - Claudia Foray
- European Institute for Molecular Imaging (EIMI), University of Münster, D-48149 Münster, Germany; (C.F.); (B.Z.)
| | - Bastian Zinnhardt
- European Institute for Molecular Imaging (EIMI), University of Münster, D-48149 Münster, Germany; (C.F.); (B.Z.)
- Biomarkers & Translational Technologies (BTT), Pharma Research & Early Development (pRED), F. Hoffmann-La Roche Ltd., CH-4070 Basel, Switzerland
| | - Alexandra Winkeler
- Université Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Service Hospitalier Frédéric Joliot, F-91401 Orsay, France;
| | - Ulrich Herrlinger
- Division of Clinical Neuro-Oncology, Department of Neurology, University Hospital Bonn, D-53105 Bonn, Germany;
- Centre of Integrated Oncology (CIO), University Hospital Bonn, D-53127 Bonn, Germany
| | - Oliver M. Grauer
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, D-48149 Münster, Germany;
| | - Andreas H. Jacobs
- European Institute for Molecular Imaging (EIMI), University of Münster, D-48149 Münster, Germany; (C.F.); (B.Z.)
- Centre of Integrated Oncology (CIO), University Hospital Bonn, D-53127 Bonn, Germany
- Department of Geriatrics with Neurology, Johanniter Hospital, D-53113 Bonn, Germany
- Correspondence: (C.B.); (A.H.J.)
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