Project description
Tumour-host interactions for better cancer treatment
Few cancer patients respond optimally to treatment, as therapies often rely on poorly understood interactions between tumours and the host immune system. These gaps in knowledge hinder targeted interventions and limit outcomes. To bridge this divide, better insights into the dynamic interplay between tumours and their hosts are essential. With this in mind, the EU-funded MULTIR project will integrate vast molecular data from melanoma, lung, and bladder cancers to identify critical factors influencing therapy response. Bringing together experts from 10 EU countries, the project leverages cutting-edge AI tools and multi-layer datasets to decode tumour-host evolution. MULTIR aims to boost drug discovery, develop predictive tools, and accelerate the adoption of innovations into healthcare systems.
Objective
Only few patients respond to tumor treatment as desired. Treatment heavily relies on host tumor interactions, including exploiting the host immune response against the tumor. The underlying mechanisms of host tumor interaction are largely unknown, guidance on specific intervention is missing. To improve outcome, better understanding of tumor-host interaction is needed. Large numbers of molecular snapshots will provide increased phenotyping coverage and better represent tumor-host evolution over time. In an innovative approach, MULTIR aims at investigating not a single tumor entity, but at compiling data from melanoma, lung and bladder cancer (most drugs target specific molecular features, irrespective of the tumor origin) to identify with high power the critical elements in the tumor-host interaction responsible for therapy response. In a multi-disciplinary approach involving leading clinicians, immunologists, experts in omics, digital technologies, social sciences and patient representatives from 10 EU countries and beyond, and an extensive outreach plan to ensure rapid transfer of MULTIR output to society, MULTIR combines existing multi-layer (epidemiological, genetic, clinical, pathologic, imaging, molecular) data from major studies on these tumors, using AI-based approaches to unveil functional modules regulating tumor-host interactions followed by validation of findings in models and synthetic patients. Harmonization with major EU initiatives will maximize use of European resources. Impact on all scientific, technological and societal levels is expected, including increased understanding of tumor-host interactions, generation of a unique resource of harmonized data on three major cancer types available to the community in compliance to the legal and ethics framework, boost of drug discovery, and an AI-based predictor for treatment response. MULTIR outreach plan includes policymakers and regulators, to support prompt assessment and uptake into the health systems.
This action is part of the Cancer Mission cluster of projects on “Understanding (tumour-host interactions)”.
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.
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Keywords
Programme(s)
- HORIZON.2.1 - Health Main Programme
Call for proposal
(opens in new window) HORIZON-MISS-2023-CANCER-01
See other projects for this callFunding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
75654 Paris
France