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Okereke LC, Bello AU, Onwukwe EA. Toward Precision Radiotherapy: A Nonlinear Optimization Framework and an Accelerated Machine Learning Algorithm for the Deconvolution of Tumor-Infiltrating Immune Cells. Cells 2022; 11:cells11223604. [PMID: 36429031 PMCID: PMC9688486 DOI: 10.3390/cells11223604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/03/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022] Open
Abstract
Tumor-infiltrating immune cells (TIICs) form a critical part of the ecosystem surrounding a cancerous tumor. Recent advances in radiobiology have shown that, in addition to damaging cancerous cells, radiotherapy drives the upregulation of immunosuppressive and immunostimulatory TIICs, which in turn impacts treatment response. Quantifying TIICs in tumor samples could form an important predictive biomarker guiding patient stratification and the design of radiotherapy regimens and combined immune-radiation treatments. As a result of several limitations associated with experimental methods for quantifying TIICs and the availability of extensive gene sequencing data, deconvolution-based computational methods have appeared as a suitable alternative for quantifying TIICs. Accordingly, we introduce and discuss a nonlinear regression approach (remarkably different from the traditional linear modeling approach of current deconvolution-based methods) and a machine learning algorithm for approximating the solution of the resulting constrained optimization problem. This way, the deconvolution problem is treated naturally, given that the gene expression levels of pure and heterogenous samples do not have a strictly linear relationship. When applied across transcriptomics datasets, our approach, which also allows the coupling of different loss functions, yields results that closely match ground-truth values from experimental methods and exhibits superior performance over popular deconvolution-based methods.
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Affiliation(s)
- Lois Chinwendu Okereke
- Department of Pure and Applied Mathematics, Mathematics Institute (Emerging Regional Centre of Excellence (ERCE) of the European Mathematical Society (EMS)), African University of Science and Technology, Abuja 900107, Nigeria
- Correspondence:
| | - Abdulmalik Usman Bello
- Department of Pure and Applied Mathematics, Mathematics Institute (Emerging Regional Centre of Excellence (ERCE) of the European Mathematical Society (EMS)), African University of Science and Technology, Abuja 900107, Nigeria
- Department of Mathematics, Federal University Dutsin-Ma, Dutsin-Ma 821101, Nigeria
| | - Emmanuel Akwari Onwukwe
- Department of Theoretical and Applied Physics, African University of Science and Technology, Abuja 900107, Nigeria
- Inspired Innovative Sustainable (IIS) Projects & Solutions Limited, Abuja 900107, Nigeria
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Delpon G, Barateau A, Beneux A, Bessières I, Latorzeff I, Welmant J, Tallet A. [What do we need to deliver "online" adapted radiotherapy treatment plans?]. Cancer Radiother 2022; 26:794-802. [PMID: 36028418 DOI: 10.1016/j.canrad.2022.06.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 06/27/2022] [Accepted: 06/29/2022] [Indexed: 11/17/2022]
Abstract
During the joint SFRO/SFPM session of the 2019 congress, a state of the art of adaptive radiotherapy announced a strong impact in our clinical practice, in particular with the availability of treatment devices coupled to an MRI system. Three years later, it seems relevant to take stock of adaptive radiotherapy in practice, and especially the "online" strategy because it is indeed more and more accessible with recent hardware and software developments, such as coupled accelerators to a three-dimensional imaging device and algorithms based on artificial intelligence. However, the deployment of this promising strategy is complex because it contracts the usual time scale and upsets the usual organizations. So what do we need to deliver adapted treatment plans with an "online" strategy?
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Affiliation(s)
- G Delpon
- Institut de cancérologie de l'Ouest, Saint-Herblain et IMT Atlantique, Nantes université, CNRS/IN2P3, Subatech, Nantes, France.
| | - A Barateau
- Université Rennes, CLCC Eugène-Marquis, Inserm, LTSI-UMR 1099, Rennes, France
| | - A Beneux
- Hospices Civils de Lyon, Lyon, France
| | - I Bessières
- Centre Georges-François Leclerc, Dijon, France
| | | | - J Welmant
- Institut du cancer de Montpellier, Montpellier, France
| | - A Tallet
- Institut Paoli-Calmettes, Marseille, France
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Ma J, Yu DH, Zhao D, Huang T, Dong M, Wang T, Yin HT. Poly-Lactide-Co-Glycolide-Polyethylene Glycol-Ginsenoside Rg3-Ag Exerts a Radio-Sensitization Effect in Non-Small Cell Lung Cancer. J Biomed Nanotechnol 2022. [DOI: 10.1166/jbn.2022.3434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Radiotherapy is an effective anti-cancer therapy for patients with non-small cell lung cancer (NSCLC), however, the prognosis is unsatisfactory owing to radio-resistance and toxicity. It is crucial to improve radiotherapy efficacy. Ag nanoparticles (NPs) and ginsenoside Rg3 (Rg3) exerted
antitumor and radio-sensitization effects. Therefore, we investigated whether poly-lactide-co-glycolide-polyethylene glycol (PLGA-PEG)-Rg3-Ag will function as a noninvasive, tracing, radiotherapy sensitizer. The morphology of NPs was visualized with transmission electron microscopy (TEM).
The drug loading content, encapsulation efficiency, and cumulative drug release of Rg3 was determined by HPLC. Cellular uptake of NPs in A549 and SPCA-1 was measured by immunostaining. The radio-sensitization effect of PLGA-PEG-Rg3-Ag in vitro was determined in A549 by detecting proliferation,
colony formation, and apoptosis with CCK-8, clonogenic survival assay, and flow cytometry, while in vivo was determined in nude mice by testing the body weight and tumor volume. PLGA-PEG-Rg3-Ag exerted radio-sensitization effect by reducing cell proliferation and colony formation while
enhancing cell apoptosis in A549; reduced tumor volume in nude mice. PLGA-PEG-Rg3-Ag exhibits radio-sensitization effects in NSCLC.
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Affiliation(s)
- Jun Ma
- Radiotherapy Department, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu Province, China
| | - Da-Hai Yu
- Radiotherapy Department, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu Province, China
| | - Di Zhao
- Radiotherapy Department, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu Province, China
| | - Teng Huang
- Radiotherapy Department, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu Province, China
| | - Min Dong
- Radiotherapy Department, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu Province, China
| | - Ting Wang
- Radiotherapy Department, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu Province, China
| | - Hai-Tao Yin
- Radiotherapy Department, Xuzhou Central Hospital, Xuzhou, 221000, Jiangsu Province, China
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Torshabi A. Investigation the efficacy of fuzzy logic implementation at image-guided radiotherapy. JOURNAL OF MEDICAL SIGNALS & SENSORS 2022; 12:163-170. [PMID: 35755973 PMCID: PMC9215832 DOI: 10.4103/jmss.jmss_76_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 04/05/2021] [Accepted: 10/24/2021] [Indexed: 11/04/2022]
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de Crevoisier R, Lafond C, Mervoyer A, Hulot C, Jaksic N, Bessières I, Delpon G. Image-guided radiotherapy. Cancer Radiother 2021; 26:34-49. [PMID: 34953701 DOI: 10.1016/j.canrad.2021.08.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
We present the updated recommendations of the French society for oncological radiotherapy on image-guided radiotherapy (IGRT). The objective of the IGRT is to take into account the anatomical variations of the target volume occurring between or during the irradiation fractions, such as displacements and/or deformations, so that the delivered dose corresponds to the planned dose. This article presents the different IGRT devices, their use and quality control, and quantify the possible additional dose generated by each of them. The practical implementation of IGRT in various tumour locations is summarised, from the different "RecoRad™" guideline articles. Adaptive radiotherapy is then detailed, due to its complexity and its probable development in the next years. The place of radiation technologist in the practice of IGRT is then specified. Finally, a brief update is proposed on the delicate question of the additional dose linked to the in-room imaging, which must be estimated and documented at a minimum, as long as it is difficult to integrate it into the calculation of the dose distribution.
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Affiliation(s)
- R de Crevoisier
- Radiotherapy department, centre régional de lutte contre le cancer Eugène Marquis, 35042 Rennes, France.
| | - C Lafond
- Radiotherapy department, centre régional de lutte contre le cancer Eugène Marquis, 35042 Rennes, France
| | - A Mervoyer
- Radiotherapy department, institut de cancérologie de l'Ouest René-Gauducheau, boulevard Jacques-Monod, 44805 Saint Herblain, France; Medical physics department, institut de cancérologie de l'Ouest René-Gauducheau, boulevard Jacques-Monod, 44805 Saint Herblain, France
| | - C Hulot
- Radiotherapy department, centre régional de lutte contre le cancer Eugène Marquis, 35042 Rennes, France
| | - N Jaksic
- Radiotherapy department, centre régional de lutte contre le cancer Eugène Marquis, 35042 Rennes, France
| | - I Bessières
- Medical physics department, centre Georges-François Leclerc, rue du Professeur-Marion, 21000 Dijon, France
| | - G Delpon
- Radiotherapy department, institut de cancérologie de l'Ouest René-Gauducheau, boulevard Jacques-Monod, 44805 Saint Herblain, France; Medical physics department, institut de cancérologie de l'Ouest René-Gauducheau, boulevard Jacques-Monod, 44805 Saint Herblain, France
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Masson I, Dutreix M, Supiot S. [Innovation in radiotherapy in 2021]. Bull Cancer 2020; 108:42-49. [PMID: 33303195 DOI: 10.1016/j.bulcan.2020.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 10/26/2020] [Indexed: 11/25/2022]
Affiliation(s)
- Ingrid Masson
- Département de radiothérapie, Institut de cancérologie de l'Ouest René-Gauducheau, boulevard Jacques-Monod, 44805 Saint-Herblain, France
| | - Marie Dutreix
- Institut Curie, Université PSL, CNRS, Inserm, UMR 3347; Université Paris Sud, Université Paris-Saclay, 91405 Orsay, France
| | - Stéphane Supiot
- Département de radiothérapie, Institut de cancérologie de l'Ouest René-Gauducheau, boulevard Jacques-Monod, 44805 Saint-Herblain, France; Centre de Recherche en Cancéro-Immunologie Nantes/Angers (CRCINA, UMR 892 Inserm), Institut de Recherche en Santé de l'Université de Nantes, Nantes cedex 1, France.
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Yang WC, Hsu FM, Yang PC. Precision radiotherapy for non-small cell lung cancer. J Biomed Sci 2020; 27:82. [PMID: 32693792 PMCID: PMC7374898 DOI: 10.1186/s12929-020-00676-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 07/17/2020] [Indexed: 02/07/2023] Open
Abstract
Precision medicine is becoming the standard of care in anti-cancer treatment. The personalized precision management of cancer patients highly relies on the improvement of new technology in next generation sequencing and high-throughput big data processing for biological and radiographic information. Systemic precision cancer therapy has been developed for years. However, the role of precision medicine in radiotherapy has not yet been fully implemented. Emerging evidence has shown that precision radiotherapy for cancer patients is possible with recent advances in new radiotherapy technologies, panomics, radiomics and dosiomics. This review focused on the role of precision radiotherapy in non-small cell lung cancer and demonstrated the current landscape.
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Affiliation(s)
- Wen-Chi Yang
- Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, No. 7, Chung-Shan South Rd, Taipei, Taiwan.,Graduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Feng-Ming Hsu
- Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, No. 7, Chung-Shan South Rd, Taipei, Taiwan. .,Graduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan.
| | - Pan-Chyr Yang
- Graduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan. .,Department of Internal Medicine, National Taiwan University Hospital, No.1 Sec 1, Jen-Ai Rd, Taipei, 100, Taiwan.
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Talbot A, Devos L, Dubus F, Vermandel M. Multimodal imaging in radiotherapy: Focus on adaptive therapy and quality control. Cancer Radiother 2020; 24:411-417. [PMID: 32517893 DOI: 10.1016/j.canrad.2020.04.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 04/23/2020] [Accepted: 04/24/2020] [Indexed: 12/16/2022]
Abstract
Improved computer resources in radiation oncology department have greatly facilitated the integration of multimodal imaging into the workflow of radiation therapy. Nowadays, physicians have highly informative imaging modalities of the anatomical region to be treated. These images contribute to the targeting accuracy with the current treatment device, impacting both segmentation or patient's positioning. Additionally, in a constant effort to deliver personalized care, many teams seek to confirm the benefits of adaptive radiotherapy. The published works highlight the importance of registration algorithms, particularly those of elastic or deformable registration necessary to take into account the anatomical evolutions of the patients during the course of their therapy. These algorithms, often considered as "black boxes", tend to be better controlled and understood by physicists and physicians thanks to the generalization of evaluation and validation methods. Given the still significant development of medical imaging techniques, it is foreseeable that multimodal registration needs require more efficient algorithms well integrated within the flow of data.
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Affiliation(s)
- A Talbot
- Medical Physics Department, CHU de Lille, 59037 Lille, France; Neurosurgery Department, hôpital Roger-Salengro, CHU de Lille, 59037 Lille, France
| | - L Devos
- Neurosurgery Department, hôpital Roger-Salengro, CHU de Lille, 59037 Lille, France; Nuclear Medicine Department, hôpital Roger-Salengro, CHU de Lille, 59037 Lille, France
| | - F Dubus
- Medical Physics Department, CHU de Lille, 59037 Lille, France; Neurosurgery Department, hôpital Roger-Salengro, CHU de Lille, 59037 Lille, France
| | - M Vermandel
- Medical Physics Department, CHU de Lille, 59037 Lille, France; Neurosurgery Department, hôpital Roger-Salengro, CHU de Lille, 59037 Lille, France; Nuclear Medicine Department, hôpital Roger-Salengro, CHU de Lille, 59037 Lille, France; Université de Lille, 59000 Lille, France; Inserm, U1189, 59000 Lille, France; ONCO-THAI-Image-Assisted Laser Therapy for Oncology, CHU de Lille, 59000 Lille, France.
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