Objective
Gastric cancer is an important health problem, being the fifth most common cancer and the third leading cause of cancer death. Its late diagnosis accompanied with a bad prognosis keeps this malignancy among the most deadly.
After generations of cancer therapy based on chemical drugs causing severe side effects and limited efficiency, cancer treatment undergoes a paradigm shift towards targeted therapy, employing both monoclonal antibodies and small molecule inhibitors of receptor tyrosine kinase activity, as the most promising tool for the years to come. However, there are numerous patients that do not respond to these novel treatments due to mutations in downstream signalling pathways or to undefined molecular mechanisms. Protein glycosylation has been shown to modulate cellular receptor functions and alter antibody binding affinities and therefore foreshadows to play a major role in cancer therapy resistance.
The GlycoModels project aims to identify glycan alterations on cell receptors that lead to targeted therapy resistance of gastric tumours. Using cutting-edge gene editing techniques, gastric cancer cell lines will be glyco-engineered to express hallmark glycan epitopes and applied in 3D-culture systems as advanced models mimicking the tumour microenvironment. These 3D-GlycoModels will display differential response to treatment with the most promising targeted therapy agents for key cell receptors (HER2, VEGFR, MET and RON) involved in growth, progression, and spread of cancer. In-depth analysis of the GlycoModels, covering glycan characterisation of the cell receptors, disclosing activated signalling pathways, and transcriptomics will unveil our understanding on driving mechanisms in therapy resistance and the glycosylation patterns involved. The structural validation of these glycoforms in human samples will deliver new biomarkers to be used in personalised therapy selection and thus, improve the outcome of advanced gastric cancer 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: 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.
- medical and health sciences medical biotechnology genetic engineering gene therapy
- natural sciences biological sciences cell biology
- natural sciences biological sciences genetics mutation
- natural sciences biological sciences biochemistry biomolecules carbohydrates
- medical and health sciences clinical medicine oncology
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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.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
MSCA-IF-EF-ST - Standard EF
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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) H2020-MSCA-IF-2016
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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.
4200 135 PORTO
Portugal
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.