Project description
Cancer biomarkers for predicting treatment outcome
Drug effectiveness is often hampered by systemic cytotoxicity. Anti-cancer drugs exhibit adverse effects by damaging normal tissues and organs. Prodrugs that can be activated by specific stimuli to exert their pharmacological effect have emerged as safer options. CP-506 is such a prodrug that is activated by the low oxygen levels of tumours (hypoxia) known to promote cancer aggressiveness and therapy resistance. CP-506 causes DNA damage so tumours defective in DNA repair pathways are at a disadvantage. The mission of the ERC-funded ReverseTheAdvantage project is to develop a solution that can identify tumours that exhibit both hypoxia and defects in DNA damage repair to predict the efficacy of CP-506 treatment.
Objective
Hypoxia-activated prodrugs (HAPs) are a great concept in particular in association therapies more efficient on well-oxygenated cells, such as immunotherapies. CP-506 is a third generation HAP with optimal PK for which we confirmed in more than 20 tumor models that presence of tumor hypoxia is a requisite for prodrug activation. We already had an AI/radiomics-based proprietary IP on a solution to identify hypoxia from standard imaging. Another important determinant for efficacy was the presence of a defective homologous recombination (HRD), a pathway needed to repair the DNA damage of the alkylating warhead of CP-506. A genome-wide mutational scar-based pan-cancer Classifier of HOmologous Recombination Deficiency (CHORD, available open source) is able to detect HRD better as compared to assessing mutation of key genes. It is therefore essential to have a validated software solution integrating both biomarkers. This solution, further developed in this project, will be able to capture intrapatient heterogeneity and make a outcome prediction per patient and per lesion.
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 software
- natural sciences biological sciences genetics DNA
- natural sciences biological sciences genetics mutation
- medical and health sciences clinical medicine oncology
- medical and health sciences basic medicine immunology immunotherapy
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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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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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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.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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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-2022-POC2
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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.
6200 MD Maastricht
Netherlands
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.