Omics · study · 2026
Bacterial extracellular vesicles from Streptococcus mutans drive OSCC progression through β-catenin signaling
Listed in NCBI GEO
Oral squamous cell carcinoma (OSCC) is an aggressive malignancy in which microbial dysbiosis is increasingly recognized as a contributing factor, yet the pathogenic potential of bacterial extracellular vesicles (EVs) remains poorly defined.
Description
To determine whether Streptococcus mutans–derived EVs (SmEVs) influence OSCC progression, we isolated and characterized SmEVs from ATCC 35668 and examined their effects in CAL-27 cells and a nude-mouse xenograft model.
SmEVs were readily internalized by OSCC cells and enhanced proliferative, migratory, and invasive capacities in vitro. Transcriptomic analysis revealed that SmEV exposure reshaped the CAL-27 gene expression landscape and prominently enriched the Wnt/β-catenin signaling pathway, accompanied by increased activation of β-catenin, TCF7, and FOSL1/Fra-1 in both cultured cells and xenograft tumors. DIA proteomics identified a broad array of SmEV proteins, and in silico docking highlighted several abundant, cancer-associated candidates with strong predicted interactions with β-catenin.
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In vivo, co-administration of SmEVs accelerated tumor growth and reinforced activation of the β-catenin axis. Collectively, these findings provide the first evidence that S. mutans–derived EVs promote OSCC progression through β-catenin–driven transcriptional programs and identify specific vesicular proteins as candidate mediators, offering new insights into microbe-derived factors as potential diagnostic or therapeutic targets in OSCC.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE315nnn/GSE315030 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE315030 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1394904 ncbi.nlm.nih.gov/bioproject/PRJNA1394904 ↗
project · from NCBI GEO
- PubMed 41991997 pubmed.ncbi.nlm.nih.gov/41991997 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 65% · Mass spectrometry 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE315030 | 13 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 (65%) |
| 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[modality].local:modality:mass-spectrometry | 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 |