Omics · study · 2026
Genetic and regenerative context specify distinct soft tissue sarcoma identities from Twist2+ progenitors
Listed in NCBI GEO
Soft-tissue sarcomas (STS) comprise diverse mesenchymal malignancies whose developmental origins and mechanisms of subtype specification remain poorly understood.
Description
Whether distinct sarcoma subtypes can arise from a common progenitor through distinct oncogenic and tissue contexts has remained unresolved. Here, we show that skeletal muscle progenitors marked by expression of the Twist2 transcription factor generate distinct STS subtypes in response to defined genetic and microenvironmental cues.
Activation of Kras together with Trp53 loss maintained a mesenchymal cell identity and drove highly penetrant undifferentiated pleomorphic sarcoma (UPS), whereas Trp53 loss or Hedgehog pathway activation in regenerating skeletal muscle preferentially induced fusion-negative rhabdomyosarcoma (FN-RMS). Single-nucleus RNA sequencing revealed fundamentally distinct tumor cell-state landscapes, with UPS enriched for mesenchymal-like states and FN-RMS spanning a continuum of myogenic differentiation states.
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Comparative analysis demonstrated that both models faithfully recapitulate the cellular hierarchies observed in their respective human STS subtypes. These findings reveal how oncogenic and microenvironmental contexts direct malignant lineage identity from a shared progenitor, providing a powerful platform for defining the developmental mechanisms and therapeutic vulnerabilities underlying STS subtype specification.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE343nnn/GSE343568 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE343568 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1511887 ncbi.nlm.nih.gov/bioproject/PRJNA1511887 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Cancer 65% · RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE343568 | 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: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: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 |