Project description
Functional tissue motifs in metastatic breast cancer
Cancer is a heterogeneous disease driven by the dynamic interplay of the tumour, immune and stromal cell compartments. Therefore, it is important to characterise disease complexity at individual level to develop and offer precision medicine solutions. The EU-funded Precision Motifs project will work towards a highly multiplexed 3D tissue imaging approach to identify functional tissue motifs in metastatic breast cancer. These motifs, identified using probabilistic network modeling, will be used to develop a novel disease classification system to apply to taking personal therapy decisions in cancer patients.
Objective
Cancer precision medicine aims to bring the right drug (or right drug combination) to the right person. To achieve this, the molecular cause of an individuals disease must be identified and a treatment chosen that targets that cause to remedy the dysfunction. Tumors are dynamic ecosystems with high heterogeneity in tumor, immune, and stromal cell compartments. This complexity is the main obstacle to implementation of precision medicine. Consequently, approaches that rationalize and use tumor ecosystems for precision medicine are needed. To enable this, I propose to establish the concept of functional tissue motif, a multiscale network representation of multi-cellular assemblies that executes a definable set of anti-tumor or pro-tumor functional outputs. The utility of functional tissue motifs for precision medicine will be demonstrated in the context of metastatic breast cancer, which causes nearly 450,000 cancer-associated deaths each year. We will develop a highly multiplexed 3D tissue imaging approach with unprecedented throughput that provides subcellular resolution to analyze a large cohort of primary and matched metastatic tumors. We will then use viable tumor samples ex vivo to systematically perturb intra-cellular and inter-cellular network wiring using approved drugs, and the drug effects will be measured by highly multiplexed imaging. Functional tissue motifs will be identified using community and geostatistical methods and probabilistic network modeling. Analysis of functional tissue motifs in the light of the clinical data will be used to derive a novel classification system and to identify vulnerabilities in metastatic breast tumors. These vulnerabilities will be validated in follow-up experiments and in a clinical study. Given their focus on functional output, information content and versatility, functional tissue motifs promise to be a powerful concept and should enable to point to appropriate treatments, and inform development of new therapies.
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.
- medical and health sciences clinical medicine oncology
- natural sciences biological sciences ecology ecosystems
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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-COG - Consolidator 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-2019-COG
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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.
8006 Zurich
Switzerland
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.