Omics · study · 2026
SRF fusion oncogenes encode constitutively activated chimeric transcription factors in myoid soft tissue tumors [MSC_hTERT]
Listed in NCBI GEO
SRF fusion genes result from chromosomal translocations in muscle-related soft tissue tumors, including perivascular tumors, myofibroma and rhabdomyosarcoma.
Description
SRF encodes the Serum Response Factor, a well-characterized transcription factor that dimerizes and associates with the cofactors TCF or MRTF to regulate muscle development. Here, we characterized four SRF fusion genes: SRF::RELA, SRF::FOXO1, SRF::ICA1L and SRF::PDGFRB.
All fusions proteins were nuclear and dimerized through the SRF MADS box. SRF::RELA, SRF::FOXO1, and SRF::ICA1L acted as constitutively active transcription factors, independently of canonical cofactors. Their activity depended on the DNA-binding MADS box of SRF and the transactivation domain of the partner protein.
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We identified a cryptic transactivation domain within cytosolic ICA1L. These three SRF fusions promoted mesenchymal cell proliferation and upregulated muscle-related genes. They are representative of 98% of the identified SRF fusion cases.
In contrast, SRF::PDGFRB activity relied on the tyrosine kinase domain and was sensitive to imatinib. SRF::PDGFRB acted as an oncogene in Ba/F3 cells, activated STAT1 signaling, and induced an interferon-like inflammatory response, in line with the inflammatory myofibroblastic tumor, in which that fusion was identified. In conclusion, SRF fusions constitute a novel family of oncogenes supporting cell proliferation and expression of muscle differentiation markers in myoid soft tissue tumors.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE303nnn/GSE303260 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE303260 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1294620 ncbi.nlm.nih.gov/bioproject/PRJNA1294620 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE303260 | 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[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 |