Omics · study · 2026
synNotch CAR-Macrophages promote persistent antitumour activity through enhanced adaptive immunity
Listed in NCBI GEO
Chimeric antigen receptor-macrophage (CAR-M) possess the ability to migrate into the immunosuppressive tumour microenvironment (TME) of solid tumours and mediate phagocytosis.
Description
However, their efficacy is limited by challenges in precisely controlling tumour-specific immune activation and sustaining adaptive antitumour responses due to systemic off-target risks and inefficient antigen presentation. To overcome these limitations, we engineered an antigen prime-and-kill circuit, wherein tumour-specific synthetic Notch (syN) receptors locally induce the production of a kill antigen.
This circuit enhances the precision of CAR-M while establishing self-sustaining antigen-presentation networks, amplifying tumour-specific T-cell adaptive immunity without eliciting systemic cytokine toxicity. To enable in situ CAR-M generation, we developed a macrophage-derived exosome-based delivery system to introduce syN-CAR genes into tumour-associated macrophages (TAMs), thereby generating syN-CAR-M within the TME.
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These engineered CAR-M actively sought and engulfed cancer cells while promoting a robust adaptive antitumour immune response in the TME in a murine tumour model. Our findings highlight that in situ induction of syN-CAR-M triggers a potent, tumour-specific adaptive immune response, offering a novel strategy for CAR-M-based immunotherapy and advancing precision cancer treatment by enhancing efficacy while minimizing systemic toxicity.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE293nnn/GSE293808 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE293808 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1246420 ncbi.nlm.nih.gov/bioproject/PRJNA1246420 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE293808 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |