Omics · study · 2026
MiT Fusions, TSC1–TSC2 Divergence, and Stem-like Programs Reveal Distinct Origins and Vulnerabilities in PEComa [scRNA-seq]
Listed in NCBI GEO
Perivascular epithelioid cell neoplasms (PEComas) are ultra-rare mesenchymal tumors lacking a molecular classification to guide therapy.
Description
Here we perform comprehensive multi-omic profiling of an unselected PEComa cohort. We identify frequent MITF rearrangements involving actin gene partners (ACTA2, ACTG1 and ACTB).
Anatomical stratification reveals cyclin-dependent kinase module mutations in gynecologic tumors, whereas soft tissue, gastrointestinal, and pelvic tumors lacked mTOR pathway alterations but are enriched for TFE3/MITF rearrangements. Transcriptomic analysis defines four subtypes with distinct lineage programs—melanocytic, mesenchymal, or adipogenic—as well as unique mutational patterns and clinical behaviors. Notably, an aggressive stem-like subtype enriched for TP53/RB1 mutations exhibits high proliferation, activation of embryonic and Hedgehog signaling, immune infiltration, and resistance to mTOR inhibitors, but potential responsiveness to immunotherapy.
Read the rest (1 more)
Single-nucleus RNA sequencing reveals intra-tumoral heterogeneity within this subtype, including divergent inflammatory states. Together, these findings establish a molecular classification framework and identify actionable vulnerabilities in PEComa.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE327nnn/GSE327937 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE327937 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1453034 ncbi.nlm.nih.gov/bioproject/PRJNA1453034 ↗
project · from NCBI GEO
- PubMed 42331846 pubmed.ncbi.nlm.nih.gov/42331846 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE327937 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| 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[modality].local:modality:single-cell-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 |