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Gardner LL, Thompson SJ, O'Connor JD, McMahon SJ. Modelling radiobiology. Phys Med Biol 2024; 69:18TR01. [PMID: 39159658 DOI: 10.1088/1361-6560/ad70f0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 08/19/2024] [Indexed: 08/21/2024]
Abstract
Radiotherapy has played an essential role in cancer treatment for over a century, and remains one of the best-studied methods of cancer treatment. Because of its close links with the physical sciences, it has been the subject of extensive quantitative mathematical modelling, but a complete understanding of the mechanisms of radiotherapy has remained elusive. In part this is because of the complexity and range of scales involved in radiotherapy-from physical radiation interactions occurring over nanometres to evolution of patient responses over months and years. This review presents the current status and ongoing research in modelling radiotherapy responses across these scales, including basic physical mechanisms of DNA damage, the immediate biological responses this triggers, and genetic- and patient-level determinants of response. Finally, some of the major challenges in this field and potential avenues for future improvements are also discussed.
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Affiliation(s)
- Lydia L Gardner
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7AE, United Kingdom
| | - Shannon J Thompson
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7AE, United Kingdom
| | - John D O'Connor
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7AE, United Kingdom
- Ulster University School of Engineering, York Street, Belfast BT15 1AP, United Kingdom
| | - Stephen J McMahon
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7AE, United Kingdom
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Ahmad R, Barcellini A, Baumann K, Benje M, Bender T, Bragado P, Charalampopoulou A, Chowdhury R, Davis AJ, Ebner DK, Eley J, Kloeber JA, Mutter RW, Friedrich T, Gutierrez-Uzquiza A, Helm A, Ibáñez-Moragues M, Iturri L, Jansen J, Morcillo MÁ, Puerta D, Kokko AP, Sánchez-Parcerisa D, Scifoni E, Shimokawa T, Sokol O, Story MD, Thariat J, Tinganelli W, Tommasino F, Vandevoorde C, von Neubeck C. Particle Beam Radiobiology Status and Challenges: A PTCOG Radiobiology Subcommittee Report. Int J Part Ther 2024; 13:100626. [PMID: 39258166 PMCID: PMC11386331 DOI: 10.1016/j.ijpt.2024.100626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Accepted: 08/02/2024] [Indexed: 09/12/2024] Open
Abstract
Particle therapy (PT) represents a significant advancement in cancer treatment, precisely targeting tumor cells while sparing surrounding healthy tissues thanks to the unique depth-dose profiles of the charged particles. Furthermore, their linear energy transfer and relative biological effectiveness enhance their capability to treat radioresistant tumors, including hypoxic ones. Over the years, extensive research has paved the way for PT's clinical application, and current efforts aim to refine its efficacy and precision, minimizing the toxicities. In this regard, radiobiology research is evolving toward integrating biotechnology to advance drug discovery and radiation therapy optimization. This shift from basic radiobiology to understanding the molecular mechanisms of PT aims to expand the therapeutic window through innovative dose delivery regimens and combined therapy approaches. This review, written by over 30 contributors from various countries, provides a comprehensive look at key research areas and new developments in PT radiobiology, emphasizing the innovations and techniques transforming the field, ranging from the radiobiology of new irradiation modalities to multimodal radiation therapy and modeling efforts. We highlight both advancements and knowledge gaps, with the aim of improving the understanding and application of PT in oncology.
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Affiliation(s)
- Reem Ahmad
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Amelia Barcellini
- Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy
- Clinical Department Radiation Oncology Unit, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy
| | - Kilian Baumann
- Institute of Medical Physics and Radiation Protection, University of Applied Sciences Giessen, Giessen, Germany
- Marburg Ion-Beam Therapy Center, Marburg, Germany
| | - Malte Benje
- Biophysics Department, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
| | - Tamara Bender
- Biophysics Department, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
| | - Paloma Bragado
- Biochemistry and Molecular Biology Department, Complutense University of Madrid, Madrid, Spain
| | - Alexandra Charalampopoulou
- University School for Advanced Studies (IUSS), Pavia, Italy
- Radiobiology Unit, Development and Research Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy
| | - Reema Chowdhury
- Biophysics Department, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
| | - Anthony J. Davis
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Daniel K. Ebner
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - John Eley
- Department of Radiation Oncology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Jake A. Kloeber
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - Robert W. Mutter
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - Thomas Friedrich
- Biophysics Department, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
| | | | - Alexander Helm
- Biophysics Department, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
| | - Marta Ibáñez-Moragues
- Medical Applications of Ionizing Radiation Unit, Technology Department, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid, Spain
| | - Lorea Iturri
- Institut Curie, Université PSL, CNRS UMR3347, Inserm U1021, Signalisation Radiobiologie et Cancer, Orsay, France
| | - Jeannette Jansen
- Biophysics Department, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
| | - Miguel Ángel Morcillo
- Medical Applications of Ionizing Radiation Unit, Technology Department, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid, Spain
| | - Daniel Puerta
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Granada, Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.GRANADA), Complejo Hospitalario Universitario de Granada/Universidad de Granada, Granada, Spain
| | | | | | - Emanuele Scifoni
- TIFPA-INFN - Trento Institute for Fundamental Physics and Applications, Trento, Italy
| | - Takashi Shimokawa
- National Institutes for Quantum Science and Technology (QST), Chiba, Japan
| | - Olga Sokol
- Biophysics Department, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
| | | | - Juliette Thariat
- Centre François Baclesse, Université de Caen Normandie, ENSICAEN, CNRS/IN2P3, LPC Caen UMR6534, Caen, France
| | - Walter Tinganelli
- Biophysics Department, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
| | - Francesco Tommasino
- TIFPA-INFN - Trento Institute for Fundamental Physics and Applications, Trento, Italy
- Department of Physics, University of Trento, Trento, Italy
| | - Charlot Vandevoorde
- Biophysics Department, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
| | - Cläre von Neubeck
- Department of Particle Therapy, University Hospital Essen, University of Duisburg-Essen, Duisburg, Germany
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Prezado Y, Grams M, Jouglar E, Martínez-Rovira I, Ortiz R, Seco J, Chang S. Spatially fractionated radiation therapy: a critical review on current status of clinical and preclinical studies and knowledge gaps. Phys Med Biol 2024; 69:10TR02. [PMID: 38648789 DOI: 10.1088/1361-6560/ad4192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 04/22/2024] [Indexed: 04/25/2024]
Abstract
Spatially fractionated radiation therapy (SFRT) is a therapeutic approach with the potential to disrupt the classical paradigms of conventional radiation therapy. The high spatial dose modulation in SFRT activates distinct radiobiological mechanisms which lead to a remarkable increase in normal tissue tolerances. Several decades of clinical use and numerous preclinical experiments suggest that SFRT has the potential to increase the therapeutic index, especially in bulky and radioresistant tumors. To unleash the full potential of SFRT a deeper understanding of the underlying biology and its relationship with the complex dosimetry of SFRT is needed. This review provides a critical analysis of the field, discussing not only the main clinical and preclinical findings but also analyzing the main knowledge gaps in a holistic way.
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Affiliation(s)
- Yolanda Prezado
- Institut Curie, Université PSL, CNRS UMR3347, Inserm U1021, Signalisation Radiobiologie et Cancer, F-91400, Orsay, France
- Université Paris-Saclay, CNRS UMR3347, Inserm U1021, Signalisation Radiobiologie et Cancer, F-91400, Orsay, France
- New Approaches in Radiotherapy Lab, Center for Research in Molecular Medicine and Chronic Diseases (CIMUS), Instituto de investigación Sanitaria de Santiago de Compostela (IDIS), University of Santiago de Compostela, Santiago de Compostela, A Coruña, E-15706, Spain
- Oportunius Program, Galician Agency of Innovation (GAIN), Xunta de Galicia, Santiago de Compostela, A Coruña, Spain
| | - Michael Grams
- Department of Radiation Oncology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, United States of America
| | - Emmanuel Jouglar
- Institut Curie, PSL Research University, Department of Radiation Oncology, F-75005, Paris and Orsay Protontherapy Center, F-91400, Orsay, France
| | - Immaculada Martínez-Rovira
- Physics Department, Universitat Auto`noma de Barcelona, E-08193, Cerdanyola del Valle`s (Barcelona), Spain
| | - Ramon Ortiz
- University of California San Francisco, Department of Radiation Oncology, 1600 Divisadero Street, San Francisco, CA 94143, United States of America
| | - Joao Seco
- Division of Biomedical physics in Radiation Oncology, DKFZ-German Cancer Research Center, Heidelberg, Germany
- Department of Physics and Astronomy, Heidelberg University, Heidelberg, Germany
| | - Sha Chang
- Dept of Radiation Oncology and Department of Biomedical Engineering, University of North Carolina School of Medicine, United States of America
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolin State University, United States of America
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Cho YB, Yoon N, Suh JH, Scott JG. Radio-immune response modelling for spatially fractionated radiotherapy. Phys Med Biol 2023; 68:165010. [PMID: 37459862 PMCID: PMC10409909 DOI: 10.1088/1361-6560/ace819] [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: 05/03/2023] [Revised: 07/06/2023] [Accepted: 07/17/2023] [Indexed: 07/28/2023]
Abstract
Objective.Radiation-induced cell death is a complex process influenced by physical, chemical and biological phenomena. Although consensus on the nature and the mechanism of the bystander effect were not yet made, the immune process presumably plays an important role in many aspects of the radiotherapy including the bystander effect. A mathematical model of immune response during and after radiation therapy is presented.Approach.Immune response of host body and immune suppression of tumor cells are modelled with four compartments in this study; viable tumor cells, T cell lymphocytes, immune triggering cells, and doomed cells. The growth of tumor was analyzed in two distinctive modes of tumor status (immune limited and immune escape) and its bifurcation condition.Main results.Tumors in the immune limited mode can grow only up to a finite size, named as terminal tumor volume analytically calculated from the model. The dynamics of the tumor growth in the immune escape mode is much more complex than the tumors in the immune limited mode especially when the status of tumor is close to the bifurcation condition. Radiation can kill tumor cells not only by radiation damage but also by boosting immune reaction.Significance.The model demonstrated that the highly heterogeneous dose distribution in spatially fractionated radiotherapy (SFRT) can make a drastic difference in tumor cell killing compared to the homogeneous dose distribution. SFRT cannot only enhance but also moderate the cell killing depending on the immune response triggered by many factors such as dose prescription parameters, tumor volume at the time of treatment and tumor characteristics. The model was applied to the lifted data of 67NR tumors on mice and a sarcoma patient treated multiple times over 1200 days for the treatment of tumor recurrence as a demonstration.
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Affiliation(s)
- Young-Bin Cho
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, United States of America
- Department of Radiation Oncology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, United States of America
- Department of Biomedical Engineering, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, United States of America
| | - Nara Yoon
- Departmentof Mathematics and Computer Science, Adelphi University, New York, United States of America
| | - John H Suh
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, United States of America
- Department of Radiation Oncology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, United States of America
| | - Jacob G Scott
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, United States of America
- Department of Radiation Oncology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, United States of America
- Department of Translational Hematology and Oncology Research, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, United States of America
- Department of Physics, Case Western Reserve University, Cleveland, United States of America
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Ji H, Zhou Z. A ‘Hybrid’ Radiotherapy Regimen Designed for Immunomodulation: Combining High-Dose Radiotherapy with Low-Dose Radiotherapy. Cancers (Basel) 2022; 14:cancers14143505. [PMID: 35884565 PMCID: PMC9319172 DOI: 10.3390/cancers14143505] [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: 05/31/2022] [Revised: 07/15/2022] [Accepted: 07/17/2022] [Indexed: 12/04/2022] Open
Abstract
Simple Summary Radiotherapy is an important cancer treatment. Aside from its direct killing effect, it also affects anti-tumor immunity. However, radiotherapy’s immune effect is not clear; it depends on the dose and fraction, cancer type, combined immunotherapy, and many other factors. Studies have focused on the optimal radiotherapy regimen to stimulate anti-tumor immunity, but conflicts exist, especially regarding the best radiation dose and fractions. Interestingly, high-dose radiotherapy and low-dose radiotherapy have complementary effects on stimulating anti-tumor immunity. Preclinical studies supporting this finding have accumulated, but gaps between theory and clinical practice still exist. This review summarizes the evidence supporting the use of this ‘hybrid’ radiotherapy approach to effectively stimulate anti-tumor immunity, explains the immune mechanisms of this combination, raises questions that must be addressed in clinical practice, and provides ideas for designing individualized treatment to increase efficiency in stimulating anti-tumor immunity using high-dose plus low-dose radiotherapy. Abstract Radiotherapy (RT) affects anti-tumor immunity. However, the exact impact of RT on anti-tumor immune response differs among cancer types, RT dose and fractions, patients’ innate immunity, and many other factors. There are conflicting findings on the optimal radiation dose and fractions to stimulate effective anti-tumor immunity. High-dose radiotherapy (HDRT) acts in the same way as a double-edged sword in stimulating anti-tumor immunity, while low-dose radiotherapy (LDRT) seems to play a vital role in modulating the tumor immune microenvironment. Recent preclinical data suggest that a ‘hybrid’ radiotherapy regimen, which refers to combining HDRT with LDRT, can reap the advantages of both. Clinical data have also indicated a promising potential. However, there are still questions to be addressed in order to put this novel combination therapy into clinical practice. For example, the selection of treatment site, treatment volume, the sequencing of high-dose radiotherapy and low-dose radiotherapy, combined immunotherapy, and so on. This review summarizes the current evidence supporting the use of HDRT + LDRT, explains possible immune biology mechanisms of this ‘hybrid’ radiotherapy, raises questions to be considered when working out individualized treatment plans, and lists possible avenues to increase efficiency in stimulating anti-tumor immunity using high-dose plus low-dose radiotherapy.
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Bekker RA, Kim S, Pilon-Thomas S, Enderling H. Mathematical modeling of radiotherapy and its impact on tumor interactions with the immune system. Neoplasia 2022; 28:100796. [PMID: 35447601 PMCID: PMC9043662 DOI: 10.1016/j.neo.2022.100796] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 03/27/2022] [Accepted: 04/01/2022] [Indexed: 11/01/2022]
Abstract
Radiotherapy is a primary therapeutic modality widely utilized with curative intent. Traditionally tumor response was hypothesized to be due to high levels of cell death induced by irreparable DNA damage. However, the immunomodulatory aspect of radiation is now widely accepted. As such, interest into the combination of radiotherapy and immunotherapy is increasing, the synergy of which has the potential to improve tumor regression beyond that observed after either treatment alone. However, questions regarding the timing (sequential vs concurrent) and dose fractionation (hyper-, standard-, or hypo-fractionation) that result in improved anti-tumor immune responses, and thus potentially enhanced tumor inhibition, remain. Here we discuss the biological response to radiotherapy and its immunomodulatory properties before giving an overview of pre-clinical data and clinical trials concerned with answering these questions. Finally, we review published mathematical models of the impact of radiotherapy on tumor-immune interactions. Ranging from considering the impact of properties of the tumor microenvironment on the induction of anti-tumor responses, to the impact of choice of radiation site in the setting of metastatic disease, these models all have an underlying feature in common: the push towards personalized therapy.
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