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WP-3 Radiobiology and modeling for innovative radiotherapies
The technological innovations needed to treat resistant radio tumors depend on the combination of better targeting and increased toxic effect on the tumor. Among the innovative radiotherapies, carbon ion hadrontherapy entered the clinical trial phase in Germany and Japan, and the PAT-Z (Radiation Therapy by Photoactivation of High-Z-elements) and MRT (Microbeam Radiation Therapy) techniques are currently in the preclinical phase.
A beam of carbon ion abruptly deposits a maximum of energy at the end of the course (= Bragg peak) which makes it possible to treat deep tumors while delivering minimal doses of energy to the surrounding tissues. In addition, at equivalent physical dose, carbon ions induce much more severe intracellular lesions than photons such as complex damage to DNA, leading to greater destruction of cancer cells.
The carbon ions also have the paricularity of increasing destruction of hypoxic tumors, and of showing a suppressive effect of angiogenesis and cell migration (metastases).
Higher relative biological effectiveness (GBR) and finer targeting, allow for hypo-fractionated treatment and improved life expectancy as observed in preliminary clinical studies. The PAT-Z technique is based on the local increase of the dose of radiation delivered to the tumor, after interaction with absorbing elements such as platinium salts, gold or gadolinium particles previously injected into the body. At the same time, the MRT technique uses a very thin X-ray beam that delivers doses of several octagray in a fraction of a second while sparing healthy tissue. It is a promising alternative to radio surgery in neuro-oncology. Two models are currently being incorporated into treatment planning systems (TPS) for carbon therapy: the Local Effect Model (LEM) in Germany and the MKM model (Microdosimetrik Kinetic Model) in Japan. So far, no model has been developed for PAT-Z and MRT techniques.
The objectives of this WP are to elucidate, quantify and predict cell events generated by high energy carbon ions, by PAT-Z and MRT techniques and at different levels (from femtosecond to several months, and from the molecule to tissues) to optimize the transfer of these innovative radiotherapies to clinical applications. In parallel with experiments in living systems, radiobiology includes the development of irradiation platforms, methodologies and simulations for data analysis, acquisition and prediction.
A beam of carbon ion abruptly deposits a maximum of energy at the end of the course (= Bragg peak) which makes it possible to treat deep tumors while delivering minimal doses of energy to the surrounding tissues. In addition, at equivalent physical dose, carbon ions induce much more severe intracellular lesions than photons such as complex damage to DNA, leading to greater destruction of cancer cells.
The carbon ions also have the paricularity of increasing destruction of hypoxic tumors, and of showing a suppressive effect of angiogenesis and cell migration (metastases).
Higher relative biological effectiveness (GBR) and finer targeting, allow for hypo-fractionated treatment and improved life expectancy as observed in preliminary clinical studies. The PAT-Z technique is based on the local increase of the dose of radiation delivered to the tumor, after interaction with absorbing elements such as platinium salts, gold or gadolinium particles previously injected into the body. At the same time, the MRT technique uses a very thin X-ray beam that delivers doses of several octagray in a fraction of a second while sparing healthy tissue. It is a promising alternative to radio surgery in neuro-oncology. Two models are currently being incorporated into treatment planning systems (TPS) for carbon therapy: the Local Effect Model (LEM) in Germany and the MKM model (Microdosimetrik Kinetic Model) in Japan. So far, no model has been developed for PAT-Z and MRT techniques.
The objectives of this WP are to elucidate, quantify and predict cell events generated by high energy carbon ions, by PAT-Z and MRT techniques and at different levels (from femtosecond to several months, and from the molecule to tissues) to optimize the transfer of these innovative radiotherapies to clinical applications. In parallel with experiments in living systems, radiobiology includes the development of irradiation platforms, methodologies and simulations for data analysis, acquisition and prediction.
PRIMES thesis on WP3 themes:
- Chen-Hui CHAN 2016-2019 - Theoretical Modeling from Functionalized Gold Nanoparticles to Repair of Lesions in DNA for cancer radiotherapy
- Clément ROUICHI 2021 - 2024 - Interactions entre tissus sains et cellules tumorales : rôles dans la modulation du statut immunitaire et de la radiosensibilité après radiothérapie
- Delphine VERNOS-BRICHART 2019-2021 - Nouvelles générations de nanoparticules métalliques permettant d’amplifier la réponse à la radiothérapie des cancers radiorésistants et invasifs
- Floriane POIGNANT 2015-2019 - Physical, chemical and biological modelling for gold nanoparticle-enhanced radiation therapy : towards a better understanding and optimization of the radiosensitizing effect
- Paul GIMENEZ 2012-2015 - Radiothérapie par photoactivation de nanoparticules et effet Mössbauer
- Sarvenaz KESHMIRI 2019-2022 - Un système de planification de traitement multi-échelle pour la radiothérapie par micro faisceaux synchrotron Validation experimentale et dosimétrie biologique
- Shady KOTB 2013-2016 - Safety and radiosensitization properties of theranostic Gadolinium-based nanoparticles AGuIX®
- Stéphanie SIMONET 2014-2017 - Radiosensitizing effect of AGuIX® in Head and Neck Squamous Cell Carcinoma (HNSCC) : from cellular uptake to subcellular damage
- Thibaut TABANOU 2020-2023 - Ciblage mitochondrial par des nanoparticules métalliques : intérêt thérapeutique sur des modèles de cellules tumorales prostatiques et évaluation de l’effet bystander
- Victor LEVRAGUE 2021 - 2024 - Modélisation biophysique pour les thérapies ciblées impliquant l’émission d’ions de basse énergie
WP-3 leaders
Claire RODRIGUEZ-LAFRASSE, IPNL-PRISME laboratory
Michaël BEUVE, IPNL-PRISME laboratory