Objective
Non-invasive preclinical and clinical imaging is a powerful tool and has a huge potential, specifically in the realm of oncology. Recently, our laboratory developed a novel multimodality imaging system, which combines positron emission tomography (PET) and magnetic resonance imaging (MRI), yielding temporally and spatially matched data. However, the molecular PET and functional MRI signals are very complex and are often not fully understood. Thus, we will cross-validate the complementary PET/MRI information with proteomics and metabolomics data to gain a better understanding of the in vivo image data and yield finally an accurate holistic tumor profile. The cross-validation will be supported by image-guided accurately dissected tumor substructures. Tumor metabolism, receptor status, hypoxia, perfusion, apoptosis and angiogenesis will be investigated by established PET tracers. In the same imaging session, functional parameters of the tumor, such as perfusion, oxygenation and morphology will be assessed by MRI. Beyond this, novel imaging ligands for senescence, tumor stroma, and fatty acid synthase, which have been recently recognized as emerging key-players in tumor progression and therapy resistance, will be developed. The individual in vivo and in vitro parameters will be fed into a data mining utilizing a computer learning approach with regression and classification methods to detect common patterns and the related pharmacokinetics behind the in vivo imaging parameters. Analysis of the dynamic PET data will be performed by compartment analysis and kinetic modelling. Overall aim is to gain a better understanding of imaging data, provide an accurate holistic in vivo tumor profile to support prognostic parameters for tumor progression and therapy response. Finally, the revealed information will lead to a more accurate selection of imaging biomarkers for diagnosis and therapy control and will provide input for new strategies in tumor-specific tracer development.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science data mining
- natural sciences biological sciences biochemistry biomolecules lipids
- medical and health sciences clinical medicine oncology
- medical and health sciences basic medicine pharmacology and pharmacy pharmacokinetics
- engineering and technology medical engineering diagnostic imaging magnetic resonance imaging
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
ERC-2012-ADG_20120314
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Host institution
72074 Tuebingen
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.