Objective
Over the past 10 years, the chemotherapeutic arsenal has been expanded to include molecular-targeted therapies based on the principle that cancer cells become addicted to a single driver oncogene. However, use of these new therapies is limited due to development of acquired resistance. To fully understand how resistance develops, patient-derived models are an absolute pre-requisite, but establishing them remains extremely challenging. Few groups worldwide have successfully implemented a systematic standardized approach to facilitate translational cancer research discovery. My project aims to provide rational therapeutic guidance for combinatorial or adaptive designs to overcome acquired resistance to tyrosine kinase inhibitors (TKIs) in patients with oncogene-addiction. By establishing new laboratory models of resistance directly from patient biopsies (patient derived cell lines and xenografts) I will elucidate the molecular mechanisms whereby cancer cells escape targeted treatments. I will then implement innovative approaches to overcome resistance using TKI combinatorial screens, apoptosis sensitizers and by screening for epigenetic modifiers.
Additionally, I will scrutinize the emergence of resistance acquisition in vitro. Current working models involve “persistor” cellular populations able to tolerate the TKI and, in a subsequent step, to become fully resistant to the drug. This drug tolerant persistor stage most probably involves epigenetic reprogrammation. An epigenetic inhibitor screen will be performed to identify agents able to interfere with the emergence of persistors and ultimately with the acquisition of TKI resistance. These results should provide an alternative strategy to validate innovative combinatorial drug strategies to avoid emergence of resistance in patients.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences genetics DNA
- medical and health sciences clinical medicine oncology lung cancer
- natural sciences biological sciences genetics mutation
- medical and health sciences health sciences personalized medicine
- medical and health sciences health sciences public health epidemiology modeling of diseases spread
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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.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
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.
ERC-STG - Starting Grant
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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.
(opens in new window) ERC-2016-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
94805 Villejuif
France
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.