SOURCE-LINKED INTELLIGENCE
Precision oncology of spatial immune escape mechanisms in ovarian cancer
ysis, we will reveal the single-cell spatial landscapes of the tumor microenvironment in 200 immunogenetically-defined HGSCs. We will apply pioneering spatial analyses on the single-cell data and use artificial intelligence to uncover clinically relevant spatial biology of HGSCs. Via transcriptomic profiling of 384 spatial microregions, we will discover the detailed immune-escape mechanisms of the HGSC genotypes. For functional testing, we have developed a groundbreaking method to establish immune-competent patient-derived organoids (iPDOs), which faithfully recapitulate the patients' tumors. Using our high-throughput iPDO functional platform, we will test mechanism-specific immunotherapeutic approaches and capture the treatment responses at single-cell resolution. The discovery and functional targeting of the immune escape mechanisms gives us unprecedented potential to open new horizons in immunotherapeutic targeting of HGSC. Spatial biology, cancer immunotherapies, ovarian cancer, immune-evasion, tumor-immune interactions, tumor genetics, immunogenomics, single-cell profiling, tum
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2368459
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.