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Data-driven cancer genome interpretation for personalised cancer treatment

Objective

CGI-Clinics aims at improving personalised medicine in oncology by optimizing genomic data interpretation (after sequencing and before advising on compatible targeted therapies). Interpretation is a bottleneck for the full deployment and broad accessibility of Next Generation Sequencing (NGS) in cancer management. The project tackles the 3 main hurdles in the interpretation of cancer mutations: it is not systematic, it deals with a majority of variants of unknown significance and it fails to empower patients.

The interpretation of tumor genomic data relies on the work of experts reviewing scattered databases and resources, in a time-consuming process that may lead to suboptimal clinical decisions. CGI-clinics will systematize the interpretation process by integrating relevant public and private databases hospitals in a one-stop shop tool, with the possibility to organize virtual molecular tumor boards co-facilitated by reference hospitals. Project will have three phases: a setup (assess needs), validation (pilot with the 9 clinical partners) and replication (30 hospitals across EU). It will enable democratization of genomic data interpretation (independent of their size, resources and profiling technology) and provide health economics validation.

Relying on a systematic automatic learning platform, GCI-Clinics will increase the share of interpretable variants in tumors (from the current 9-12% to at least 50%), and features that constitute biomarkers of drug response. The interpretation process is complex for most cancer patients, alienating them from knowledge of their illness. CGI-Clinics will build eduCGI, an app to help them understand the information gained through interpretation of their tumors, facilitating informed discussions with clinicians and sharing their data for research. Ultimately, the project is built to inform policy-makers on cancer management and empower 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.
This project's classification has been validated by the project's team.

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

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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.

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.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-HLTH-2021-CARE-05

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Coordinator

FUNDACIO INSTITUT DE RECERCA BIOMEDICA (IRB BARCELONA)
Net EU contribution

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.

€ 3 272 816,21
Address
CARRER BALDIRI REIXAC 10-12 PARC SCIENTIFIC DE BARCELONA
08028 BARCELONA
Spain

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Region
Este Cataluña Barcelona
Activity type
Research Organisations
Links
Total cost

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.

€ 3 272 816,21

Participants (16)

Partners (2)

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