1
|
Caers J, Duray E, Vrancken L, Marcion G, Bocuzzi V, De Veirman K, Krasniqi A, Lejeune M, Withofs N, Devoogdt N, Dumoulin M, Karlström AE, D’Huyvetter M. Radiotheranostic Agents in Hematological Malignancies. Front Immunol 2022; 13:911080. [PMID: 35865548 PMCID: PMC9294596 DOI: 10.3389/fimmu.2022.911080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/06/2022] [Indexed: 12/23/2022] Open
Abstract
Radioimmunotherapy (RIT) is a cancer treatment that combines radiation therapy with tumor-directed monoclonal antibodies (Abs). Although RIT had been introduced for the treatment of CD20 positive non-Hodgkin lymphoma decades ago, it never found a broad clinical application. In recent years, researchers have developed theranostic agents based on Ab fragments or small Ab mimetics such as peptides, affibodies or single-chain Abs with improved tumor-targeting capacities. Theranostics combine diagnostic and therapeutic capabilities into a single pharmaceutical agent; this dual application can be easily achieved after conjugation to radionuclides. The past decade has seen a trend to increased specificity, fastened pharmacokinetics, and personalized medicine. In this review, we discuss the different strategies introduced for the noninvasive detection and treatment of hematological malignancies by radiopharmaceuticals. We also discuss the future applications of these radiotheranostic agents.
Collapse
Affiliation(s)
- Jo Caers
- Laboratory of Hematology, GIGA I³, University of Liège, Liège, Belgium
- Department of Hematology, CHU de Liège, Liège, Belgium
- *Correspondence: Jo Caers,
| | - Elodie Duray
- Laboratory of Hematology, GIGA I³, University of Liège, Liège, Belgium
- Centre for Protein Engineering, Inbios, University of Liège, Liège, Belgium
| | - Louise Vrancken
- Laboratory of Hematology, GIGA I³, University of Liège, Liège, Belgium
- Department of Hematology, CHU de Liège, Liège, Belgium
| | - Guillaume Marcion
- Laboratory of Hematology, GIGA I³, University of Liège, Liège, Belgium
| | - Valentina Bocuzzi
- Laboratory of Hematology, GIGA I³, University of Liège, Liège, Belgium
| | - Kim De Veirman
- Department of Hematology and Immunology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Ahmet Krasniqi
- Laboratory of In Vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel, Brussels, Belgium
| | - Margaux Lejeune
- Laboratory of Hematology, GIGA I³, University of Liège, Liège, Belgium
| | - Nadia Withofs
- Department of Nuclear Medicine, CHU de Liège, Liège, Belgium
| | - Nick Devoogdt
- Laboratory of In Vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel, Brussels, Belgium
| | - Mireille Dumoulin
- Centre for Protein Engineering, Inbios, University of Liège, Liège, Belgium
| | - Amelie Eriksson Karlström
- Department of Protein Science, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Matthias D’Huyvetter
- Laboratory of In Vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel, Brussels, Belgium
| |
Collapse
|
2
|
Liberini V, Laudicella R, Balma M, Nicolotti DG, Buschiazzo A, Grimaldi S, Lorenzon L, Bianchi A, Peano S, Bartolotta TV, Farsad M, Baldari S, Burger IA, Huellner MW, Papaleo A, Deandreis D. Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics. Eur Radiol Exp 2022; 6:27. [PMID: 35701671 PMCID: PMC9198151 DOI: 10.1186/s41747-022-00282-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 04/20/2022] [Indexed: 11/21/2022] Open
Abstract
In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of diagnosis and staging, refined surveillance strategies, and introduced specific and personalized radioreceptor therapies. Nuclear medicine, therefore, holds great promise for improving the quality of life of PCa patients, through managing and processing a vast amount of molecular imaging data and beyond, using a multi-omics approach and improving patients’ risk-stratification for tailored medicine. Artificial intelligence (AI) and radiomics may allow clinicians to improve the overall efficiency and accuracy of using these “big data” in both the diagnostic and theragnostic field: from technical aspects (such as semi-automatization of tumor segmentation, image reconstruction, and interpretation) to clinical outcomes, improving a deeper understanding of the molecular environment of PCa, refining personalized treatment strategies, and increasing the ability to predict the outcome. This systematic review aims to describe the current literature on AI and radiomics applied to molecular imaging of prostate cancer.
Collapse
Affiliation(s)
- Virginia Liberini
- Medical Physiopathology - A.O.U. Città della Salute e della Scienza di Torino, Division of Nuclear Medicine, Department of Medical Science, University of Torino, 10126, Torino, Italy. .,Nuclear Medicine Department, S. Croce e Carle Hospital, 12100, Cuneo, Italy.
| | - Riccardo Laudicella
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, 8006, Zurich, Switzerland.,Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, University of Messina, 98125, Messina, Italy.,Nuclear Medicine Unit, Fondazione Istituto G. Giglio, Ct.da Pietrapollastra Pisciotto, Cefalù, Palermo, Italy
| | - Michele Balma
- Nuclear Medicine Department, S. Croce e Carle Hospital, 12100, Cuneo, Italy
| | | | - Ambra Buschiazzo
- Nuclear Medicine Department, S. Croce e Carle Hospital, 12100, Cuneo, Italy
| | - Serena Grimaldi
- Medical Physiopathology - A.O.U. Città della Salute e della Scienza di Torino, Division of Nuclear Medicine, Department of Medical Science, University of Torino, 10126, Torino, Italy
| | - Leda Lorenzon
- Medical Physics Department, Central Bolzano Hospital, 39100, Bolzano, Italy
| | - Andrea Bianchi
- Nuclear Medicine Department, S. Croce e Carle Hospital, 12100, Cuneo, Italy
| | - Simona Peano
- Nuclear Medicine Department, S. Croce e Carle Hospital, 12100, Cuneo, Italy
| | | | - Mohsen Farsad
- Nuclear Medicine, Central Hospital Bolzano, 39100, Bolzano, Italy
| | - Sergio Baldari
- Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, University of Messina, 98125, Messina, Italy
| | - Irene A Burger
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, 8006, Zurich, Switzerland.,Department of Nuclear Medicine, Kantonsspital Baden, 5004, Baden, Switzerland
| | - Martin W Huellner
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, 8006, Zurich, Switzerland
| | - Alberto Papaleo
- Nuclear Medicine Department, S. Croce e Carle Hospital, 12100, Cuneo, Italy
| | - Désirée Deandreis
- Medical Physiopathology - A.O.U. Città della Salute e della Scienza di Torino, Division of Nuclear Medicine, Department of Medical Science, University of Torino, 10126, Torino, Italy
| |
Collapse
|