Objective
The prognosis of patients with metastatic pancreatic cancer (PDAC) is very poor. Recent studies have started to elucidate the genetic landscape of this disease to show that PDAC is a genetically complex, unstable, and heterogeneous cancer. However, in-depth analysis of individual patient genomes couple with personalize Avatar mouse models is providing highly effective therapeutic opportunities for the individual patient. Thus, metastatic PDAC appears a candidate disease to implement a genomics-base, personalized treatment approach. In this project, we will conduct an open label, multicenter, randomized phase III study in patients with standard of care resistant metastatic pancreatic cancer aiming to test the hypothesis that an integrated personalized treatment approach improves survival compare to a conventional treatment. Patients randomized to the personalize treatment arm will undergo a biopsy of a metastatic lesion to perform a targeted genome analysis using next generation sequencing. In addition, we will generate a personalize Avatar mouse model from the same patient. We will employ sophisticated bioinformatic analysis as well as mining of drug response-genetic databases to select, for each individual patient, candidate therapeutic targets that will be experimentally tested in the patient´s Avatar model to select the most effective regimen that will ultimately applied to the patient. In addition, based on the genomic data, we will design an individualized monitoring plan for each patient using BEAMing technology to monitor circulating levels of mutated genes. Furthermore, with a discovery goal, we will perform in depth genomic analysis of metastatic PDAC lesions in this cohort of clinically well-annotated patients with Avatar mouse models for therapeutic validation. Overall we expect this work will contribute to our understanding of PDAC and will favourably impact the treatment of this dismal cancer.
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 biological sciences genetics mutation
- natural sciences biological sciences genetics genomes
- medical and health sciences clinical medicine oncology pancreatic cancer
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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-ADG - Advanced 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-2014-ADG
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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.
28942 Fuenlabrada
Spain
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.