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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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Cancer Clinical Trials: What Every Radiologist Wants to Know but Is Afraid to Ask. AJR Am J Roentgenol 2021; 216:1099-1111. [PMID: 33594911 DOI: 10.2214/ajr.20.22852] [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: 11/18/2022]
Abstract
OBJECTIVE. The purpose of this article is to provide radiologists with a guide to the fundamental principles of oncology clinical trials. The review summarizes the evolution and structure of modern clinical trials with an emphasis on the relevance of clinical trials in the field of oncologic imaging. CONCLUSION. Understanding the structure and clinical relevance of modern clinical trials is beneficial for radiologists in the field of oncologic imaging.
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Foray C, Barca C, Backhaus P, Schelhaas S, Winkeler A, Viel T, Schäfers M, Grauer O, Jacobs AH, Zinnhardt B. Multimodal Molecular Imaging of the Tumour Microenvironment. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1225:71-87. [PMID: 32030648 DOI: 10.1007/978-3-030-35727-6_5] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The tumour microenvironment (TME) surrounding tumour cells is a highly dynamic and heterogeneous composition of immune cells, fibroblasts, precursor cells, endothelial cells, signalling molecules and extracellular matrix (ECM) components. Due to the heterogeneity and the constant crosstalk between the TME and the tumour cells, the components of the TME are important prognostic parameters in cancer and determine the response to novel immunotherapies. To improve the characterization of the TME, novel non-invasive imaging paradigms targeting the complexity of the TME are urgently needed.The characterization of the TME by molecular imaging will (1) support early diagnosis and disease follow-up, (2) guide (stereotactic) biopsy sampling, (3) highlight the dynamic changes during disease pathogenesis in a non-invasive manner, (4) help monitor existing therapies, (5) support the development of novel TME-targeting therapies and (6) aid stratification of patients, according to the cellular composition of their tumours in correlation to their therapy response.This chapter will summarize the most recent developments and applications of molecular imaging paradigms beyond FDG for the characterization of the dynamic molecular and cellular changes in the TME.
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Affiliation(s)
- Claudia Foray
- European Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany.,PET Imaging in Drug Design and Development (PET3D), Münster, Germany
| | - Cristina Barca
- European Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany.,PET Imaging in Drug Design and Development (PET3D), Münster, Germany
| | - Philipp Backhaus
- European Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany.,Department of Nuclear Medicine, University Hospital Münster, Westfälische Wilhelms University Münster, Münster, Germany
| | - Sonja Schelhaas
- European Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany
| | - Alexandra Winkeler
- UMR 1023, IMIV, Service Hospitalier Frédéric Joliot, CEA, Inserm, Université Paris Sud, CNRS, Université Paris-Saclay, Orsay, France
| | - Thomas Viel
- Paris Centre de Recherche Cardiovasculaire, INSERM-U970, Université Paris Descartes, Paris, France
| | - Michael Schäfers
- European Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany.,Department of Nuclear Medicine, University Hospital Münster, Westfälische Wilhelms University Münster, Münster, Germany
| | - Oliver Grauer
- Department of Neurology, University Hospital Münster, Münster, Germany
| | - Andreas H Jacobs
- European Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany.,PET Imaging in Drug Design and Development (PET3D), Münster, Germany.,Department of Geriatrics, Johanniter Hospital, Evangelische Kliniken, Bonn, Germany
| | - Bastian Zinnhardt
- European Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany. .,PET Imaging in Drug Design and Development (PET3D), Münster, Germany. .,Department of Nuclear Medicine, University Hospital Münster, Westfälische Wilhelms University Münster, Münster, Germany.
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Castello A, Lopci E. Response assessment of bone metastatic disease: seeing the forest for the trees RECIST, PERCIST, iRECIST, and PCWG-2. THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING : OFFICIAL PUBLICATION OF THE ITALIAN ASSOCIATION OF NUCLEAR MEDICINE (AIMN) [AND] THE INTERNATIONAL ASSOCIATION OF RADIOPHARMACOLOGY (IAR), [AND] SECTION OF THE SOCIETY OF RADIOPHARMACEUTICAL CHEMISTRY AND BIOLOGY 2019; 63:150-158. [PMID: 31286751 DOI: 10.23736/s1824-4785.19.03193-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Tumor response is often used as a surrogate marker for survival practically in all clinical trials. Therefore, robust and valid response criteria during the course of trials are fundamental for the assessment of response to therapy. This aspect, however, becomes particularly challenging when it comes to bone metastases. In the era of targeted therapies and immune-checkpoint inhibitors (ICI), response assessment by morphologic-based criteria cannot detect the real tumor response and, consequently, fail to demonstrate the actual clinical benefit. This review will focus on some of the most common morphologic and metabolic response criteria and their application for bone lesions, highlighting relative strengths and weaknesses as well as potential future methods in the era of target therapies and immunotherapy with ICI.
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Affiliation(s)
- Angelo Castello
- Nuclear Medicine Unit, Humanitas Clinical and Research Hospital, IRCCS, Rozzano, Milan, Italy
| | - Egesta Lopci
- Nuclear Medicine Unit, Humanitas Clinical and Research Hospital, IRCCS, Rozzano, Milan, Italy -
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Burvenich IJG, Parakh S, Parslow AC, Lee ST, Gan HK, Scott AM. Receptor Occupancy Imaging Studies in Oncology Drug Development. AAPS JOURNAL 2018. [DOI: 10.1208/s12248-018-0203-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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