BIO-IRT
"Biologically individualized, model-based radiotherapy on the basis of multi-parametric molecular tumour profiling"
| Coordinatore | EBERHARD KARLS UNIVERSITAET TUEBINGEN
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| Nazionalità Coordinatore | Germany [DE] |
| Totale costo | 1˙370˙799 € |
| EC contributo | 1˙370˙799 € |
| Programma | FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | ERC-2013-StG |
| Funding Scheme | ERC-SG |
| Anno di inizio | 2014 |
| Periodo (anno-mese-giorno) | 2014-01-01 - 2018-12-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
EBERHARD KARLS UNIVERSITAET TUEBINGEN
Organization address
address: GESCHWISTER-SCHOLL-PLATZ contact info |
DE (TUEBINGEN) | hostInstitution | 1˙370˙799.00 |
| 2 |
EBERHARD KARLS UNIVERSITAET TUEBINGEN
Organization address
address: GESCHWISTER-SCHOLL-PLATZ contact info |
DE (TUEBINGEN) | hostInstitution | 1˙370˙799.00 |
Mappa
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Obiettivo del progetto (Objective)
'High precision radiotherapy (RT) allows extremely flexible tumour treatments achieving highly conformal radiation doses while sparing surrounding organs at risk. Nevertheless, failure rates of up to 50% are reported for head and neck cancer (HNC) due to radiation resistance induced by pathophysiologic factors such as hypoxia and other clinical factors as HPV-status, stage and tumour volume. This project aims at developing a multi-parametric model for individualized RT (iRT) dose prescriptions in HNC based on biological markers and functional PET/MR imaging. This project goes far beyond current research standards and clinical practice as it aims for establishing hypoxia PET and f-MRI as well as biological markers in HNC as a role model for a novel concept from anatomy-based to biologically iRT. During this project, a multi-parametric model will be developed on a preclinical basis that combines biological markers such as different oncogenes and hypoxia gene classifier with functional PET/MR imaging, such as FMISO PET in combination with different f-MRI techniques, like DW-, DCE- and BOLD-MRI in addition to MR spectroscopy. The ultimate goal of this project is a multi-parametric model to predict therapy outcome and guide iRT. In a second part, a clinical study will be carried out to validate the preclinical model in patients. Based on the most informative radiobiological and imaging parameters as identified during the pre-clinical phase, biological markers and advanced PET/MR imaging will be evaluated in terms of their potential for iRT dose prescription. Successful development of a model for biologically iRT prescription on the basis of multi-parametric molecular profiling would provide a unique basis for personalized cancer treatment. A validated multi-parametric model for RT outcome would represent a paradigm shift from anatomy-based to biologically iRT concepts with the ultimate goal of improving cancer cure rates.'