Excel · study · 2026
Circ_0005406 Promotes Ovarian Cancer Progression through IL-33-Dependent Recruitment of Tumor-Associated Macrophages [Human ovary]
Listed in NCBI GEO
Ovarian cancer (OC) is a highly lethal malignancy with limited therapeutic options.
Description
Multiple peptides encoded by non-coding RNAs have exhibited critical anti-tumor activities. Through integrated RNC-seq and MeRIP-seq analyses, we identified circ_0005406 as a circRNA with translational potential.
This study aims to elucidate the role and mechanism of circ_0005406 in OC progression and evaluate its potential as a therapeutic target. Circ_0005406 was downregulated in OC tissues compared to normal ovarian epithelium. Its overexpression robustly promoted orthotopic tumor growth in mice, despite exerting minimal proliferative effects in vitro.
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Integrated RNA-seq and co-culture studies revealed that this pro-tumorigenic phenotype was driven by an immunosuppressive microenvironment, characterized by IL-33 upregulation and increased M2 macrophage infiltration. Mechanistically, the m6A reader IGF2BP2 was identified as a central regulator that binds circ_0005406 to enhance its translation and stabilizing IL33 mRNA. Knockdown of IGF2BP2 abrogated macrophage chemotaxis.
Besides, circ_0005406 may encodes a nuclear-localized 275-amino-acid peptide. Circ_0005406 promotes OC progression by recruiting M2 macrophages via IL33. Mechanistically, IGF2BP2 acts as a nexus that concurrently boosts circ_0005406 translation and stabilizes IL33 mRNA, a dual action that synergistically drives macrophage infiltration.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE326nnn/GSE326481 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE326481 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1445687 ncbi.nlm.nih.gov/bioproject/PRJNA1445687 ↗
project · from NCBI GEO
Topics
- Stated by source
- Homo sapiens · Non-coding RNA profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE326481 | 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:non-coding-rna-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:9606 | 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 |