Omics · study · 2026
Cancer immunotherapy targeting murine myeloid cells requires endosomal pattern recognition
Listed in NCBI GEO
Immunotherapy is now an established and efficient treatment option for many cancer patients, but unfortunately, a proportion of the patients still experience poor outcomes due to resistance to treatment.
Description
Thus, there is a need to both understand key mechanisms of resistance as well as to develop new treatments. Herein, we explore an immunotherapeutic approach that targets tumor associated macrophages (TAMs) as an alternative to direct T cell targeting.
We demonstrate that TAMs need to have a functional endosomal pattern recognition machinery for immunotherapy to be efficient. This is true for TAM targeting using both anti-PD-L1 (αPD-L1) or anti-MARCO (αMARCO) antibodies, and we determine that the absence of endosomal Toll-like receptors (TLRs) makes the TAMs unresponsive to treatment while retaining an immunosuppressive phenotype. For αMARCO treatment, we also find that TLR9 activation to express components of the inflammasome is specifically needed to render TAMs responsive to treatment.
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This key feature of immunotherapy efficacy, with TAMs being sensitized by the tumor microenvironment via endosomal TLRs, could be exploited to improve immunotherapeutic outcomes.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE303nnn/GSE303908 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE303908 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1298211 ncbi.nlm.nih.gov/bioproject/PRJNA1298211 ↗
project · from NCBI GEO
- PubMed 42509237 pubmed.ncbi.nlm.nih.gov/42509237 ↗
publication · 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 | GSE303908 | 14 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 |