Omics · study · 2026
SARS-CoV-2 spike protein exerts an anti-cancer effect by regulating MEG3 and BCYRN1 in A549 cells
Listed in NCBI GEO
Description
Background
Few studies have reported that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein suppresses cancer cell growth. Here, we investigated the effect of the SARS-CoV-2 spike protein in A549 lung cancer cells using recombinant spike protein (SP), spike protein transfection (SPT), and pseudo-SARS-CoV-2 virus (PSV).
Read the rest (4 more)
Methods
To evaluate its anticancer activity, we performed RNA sequencing, colony formation, immunofluorescence, cell viability, migration, FACS, western blotting, 3D spheroid, molecular docking, siRNA,qRT-PCR, and apoptosis assays. Results Spike protein significantly inhibited the long-term growth of A549 cells. Among the delivery methods, PSV showed the most potent anticancer effect, followed by SPT and SP, as evidenced by suppressed migration, spheroid growth, and sub-G1 arrest.
RNA-Seq revealed distinct expression profiles between control and SP-treated cells, identifying two differentially expressed lncRNAs: MEG3 was upregulated, while BCYRN1 was downregulated. Knockdown of BCYRN1 or overexpression of MEG3 reproduced the spike protein–induced antiproliferative and pro-apoptotic effects, including enhanced cleaved caspase-3 expression. Docking analysis suggested potential binding of spike protein to these lncRNAs.
To determine whether spike protein affects their stability, transcription was inhibited using actinomycin D (ActD). Spike protein attenuated the ActD-induced decrease of MEG3, indicating enhanced stability, whereas it accelerated BCYRN1 reduction. Conclusion Collectively, these findings demonstrate that SARS-CoV-2 spike protein exerts antitumor activity in A549 lung cancer cells by differentially regulating the stability of lncRNAs MEG3 and BCYRN1.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE315nnn/GSE315495 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE315495 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1398076 ncbi.nlm.nih.gov/bioproject/PRJNA1398076 ↗
project · from NCBI GEO
- PubMed 42071063 pubmed.ncbi.nlm.nih.gov/42071063 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE315495 | 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 (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[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |