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Vens C, van Luijk P, Vogelius RI, El Naqa I, Humbert-Vidan L, von Neubeck C, Gomez-Roman N, Bahn E, Brualla L, Böhlen TT, Ecker S, Koch R, Handeland A, Pereira S, Possenti L, Rancati T, Todor D, Vanderstraeten B, Van Heerden M, Ullrich W, Jackson M, Alber M, Marignol L. A joint physics and radiobiology DREAM team vision - Towards better response prediction models to advance radiotherapy. Radiother Oncol 2024; 196:110277. [PMID: 38670264 DOI: 10.1016/j.radonc.2024.110277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 03/21/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024]
Abstract
Radiotherapy developed empirically through experience balancing tumour control and normal tissue toxicities. Early simple mathematical models formalized this practical knowledge and enabled effective cancer treatment to date. Remarkable advances in technology, computing, and experimental biology now create opportunities to incorporate this knowledge into enhanced computational models. The ESTRO DREAM (Dose Response, Experiment, Analysis, Modelling) workshop brought together experts across disciplines to pursue the vision of personalized radiotherapy for optimal outcomes through advanced modelling. The ultimate vision is leveraging quantitative models dynamically during therapy to ultimately achieve truly adaptive and biologically guided radiotherapy at the population as well as individual patient-based levels. This requires the generation of models that inform response-based adaptations, individually optimized delivery and enable biological monitoring to provide decision support to clinicians. The goal is expanding to models that can drive the realization of personalized therapy for optimal outcomes. This position paper provides their propositions that describe how innovations in biology, physics, mathematics, and data science including AI could inform models and improve predictions. It consolidates the DREAM team's consensus on scientific priorities and organizational requirements. Scientifically, it stresses the need for rigorous, multifaceted model development, comprehensive validation and clinical applicability and significance. Organizationally, it reinforces the prerequisites of interdisciplinary research and collaboration between physicians, medical physicists, radiobiologists, and computational scientists throughout model development. Solely by a shared understanding of clinical needs, biological mechanisms, and computational methods, more informed models can be created. Future research environment and support must facilitate this integrative method of operation across multiple disciplines.
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Affiliation(s)
- C Vens
- School of Cancer Science, University of Glasgow, Glasgow, UK; Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
| | - P van Luijk
- Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
| | - R I Vogelius
- Department of Oncology, Rigshospitalet, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
| | - I El Naqa
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48103, United States.
| | - L Humbert-Vidan
- University of Texas MD Anderson Cancer Centre, Houston, TX, United States; Department of MedicalPhysics, Guy's and St Thomas' NHS Foundation Trust, London, UK; School of Cancer and Pharmaceutical Sciences, Comprehensive Cancer Centre, King's College London, London, UK
| | - C von Neubeck
- Department of Particle Therapy, University Hospital Essen, University of Duisburg-Essen, Essen 45147, Germany
| | - N Gomez-Roman
- Strathclyde Institute of Phrmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK
| | - E Bahn
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany; National Center for Tumor Diseases (NCT), Heidelberg, Germany; Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - L Brualla
- West German Proton Therapy Centre Essen (WPE), Essen, Germany; Faculty of Medicine, University of Duisburg-Essen, Germany
| | - T T Böhlen
- Institute of Radiation Physics, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - S Ecker
- Department of Radiation Oncology, Medical University of Wien, Austria
| | - R Koch
- Department of Particle Therapy, University Hospital Essen, University of Duisburg-Essen, Essen 45147, Germany
| | - A Handeland
- Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway; Department of Physics and Technology, University of Bergen, Bergen, Norway
| | - S Pereira
- Neolys Diagnostics, 7 Allée de l'Europe, 67960 Entzheim, France
| | - L Possenti
- Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - T Rancati
- Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - D Todor
- Department of Radiation Oncology, Virginia Commonwealth University, United States
| | - B Vanderstraeten
- Department of Radiotherapy-Oncology, Ghent University Hospital, Gent, Belgium; Department of Human Structure and Repair, Ghent University, Gent, Belgium
| | - M Van Heerden
- Center for Proton Therapy, Paul Scherrer Institute, Villigen, Switzerland
| | | | - M Jackson
- School of Cancer Science, University of Glasgow, Glasgow, UK
| | - M Alber
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
| | - L Marignol
- Applied Radiation Therapy Trinity (ARTT), Discipline of Radiation Therapy, School of Medicine, Trinity St. James's Cancer Institute, Trinity College Dublin, University of Dublin, Dublin, Ireland
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Derksen M, Kourula S, Jacobs F, Lee Roos J, Van Heerden M, Frazer-Mendelewska E, Ramos E, Lai K, Jonkers S, Theuns V, Verboven P, Huybrechts T, van Asten S, Kunze A, Jardi F, Monshouwer M, Vries R, Boj S, Snoeys J, Pourfarzad F. HUB Organoids™ improve pre-clinical toxicology, metabolism, and pharmacokinetic studies for drug discovery and development. Toxicol Lett 2021. [DOI: 10.1016/s0378-4274(21)00534-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Abstract
Ten equine skin tumors that had been classified as schwannomas on routine histological examination were analyzed by polymerase chain reaction for bovine papillomavirus DNA. All 10 were positive for bovine papillomavirus 1 or 2, and all 10 were immunohistochemically negative for S-100 protein and strongly positive for vimentin. Nine tumors were moderately positive for laminin and 8, for smooth muscle actin. Five tumors were variably and weakly positive for type IV collagen. The lack of S-100 protein expression made Schwann cells an unlikely cell of origin, as opposed to peripheral nerve sheath tumors, which typically express S-100 protein, at least in some neoplastic cells. The immunohistochemical reactivity is consistent with myofibroblastic origin of the neoplastic cells, although smooth muscle cell or pericyte origin cannot be ruled out. These tumors represent an atypical form of equine sarcoid. Polymerase chain reaction for bovine papillomavirus and S-100 immunohistochemistry are strongly recommended for all equine skin tumors with histological characteristics typical of schwannoma or peripheral nerve sheath tumor.
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Affiliation(s)
- L. Bogaert
- Department of Surgery and Anesthesiology of Domestic Animals, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
- Both authors contributed equally to this work
| | - M. Van Heerden
- Both authors contributed equally to this work
- Department of Pathology, Bacteriology and Avian Diseases, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - H. E. V. De Cock
- Department of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California, Davis, California
| | - A. Martens
- Department of Surgery and Anesthesiology of Domestic Animals, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - K. Chiers
- Department of Pathology, Bacteriology and Avian Diseases, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
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Loock MV, Loots K, Zande SVD, Heerden MV, Nauwynck H, Goddeeris BM, Vanrompay D. Pathogenic interactions between Chlamydophila psittaci and avian pneumovirus infections in turkeys. Vet Microbiol 2005; 112:53-63. [PMID: 16326044 DOI: 10.1016/j.vetmic.2005.10.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2004] [Revised: 09/26/2005] [Accepted: 10/05/2005] [Indexed: 11/18/2022]
Abstract
Both Chlamydophila psittaci and avian pneumovirus (APV) are highly prevalent in Belgian turkeys and might contribute to the respiratory disease complex observed in turkeys. Initial outbreaks of chlamydiosis occur mostly at the age of 4-8 weeks, often accompanied by an APV infection in APV non-vaccinated farms. Regardless APV vaccination, breakthroughs of APV infection from 8 weeks on do occur, a period when also a second C. psittaci infection appears. Therefore, this study examined the pathogenicity of an APV superinfection in C. psittaci predisposed turkeys. Turkeys were infected with C. psittaci, APV or with C. psittaci followed by APV. Simulating the impact of an APV infection during the acute phase or latent phase of a C. psittaci infection, turkeys have been infected with APV at 1 and 5 weeks post C. psittaci infection, respectively. APV infection during the acute phase of a C. psittaci infection aggravates the severity of clinical signs, macroscopic lesions, pharyngeal APV excretion and histological tracheae lesions. In contrast, no clear interaction could be established after APV infection in latently C. psittaci infected specific pathogen-free (SPF) turkeys. This study clearly demonstrates the exacerbating role of APV during acute C. psittaci infection, which can play an important role in the respiratory disease complex of turkeys.
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Affiliation(s)
- M Van Loock
- Department of Biosystems, Katholieke Universiteit Leuven, Kasteelpark Arenberg 30, 3001 Leuven, Belgium
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