SOURCE-LINKED INTELLIGENCE
Targeting neutrophils in colorectal cancer
nd highly enriched in the CRC TME, that could fuel ICI response. I propose to fill the knowledge gaps on the neutrophil diversity and function in MSS CRC using cutting-edge single-cell techniques and deep learning methods. We aim to: 1) chart multi-omics single-cell neutrophil map of the bone marrow-tumor axis; 2) identify neutrophil cell niches using samples from an ICI clinical trial and spatial single-cell transcriptomics; 3) relate neutrophil cell niches to clinical correlates using a large biobank and spatial single-cell proteomics; and 4) perform mechanistic studies using patient-derived tumor fragments and mouse models. The knowledge gain will lead to rationale for novel therapeutic framework that exploits anti-tumor strategies of the innate and adaptive immunity. cancer immunotherapy, artificial intelligence, single-cell profiling, cell niches
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2496900
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.