Omics · study · 2026
Dysregulated AKT signaling reprograms osteosarcoma to drive selective reliance on EP300 [RNA-seq]
Listed in NCBI GEO
Cancer cells are highly dependent on the control of transcription for maintenance of the malignant cell state.
Description
EP300 and CBP are paralogous, commonly expressed, master epigenetic enzymes, whose activity controls normal and malignant transcription. Here, we perform a cancer-wide, integrative chemical-genetic analysis, identifying that most cancer lineages, including osteosarcoma (OS), a highly lethal malignancy of bone, have relatively enhanced dependency on EP300, compared with CBP.
To take advantage of selective pharmacology targeting EP300 alone, which spares CBP in untransformed cells and thereby reduces toxicity, we used the EP300-targeted degrader JQAD1. A specific genetic subgroup of OS marked by dysregulation of the PIK3CA-AKT-mTOR pathway is genetically dependent on EP300 and uniquely sensitive to EP300 degradation. Expression of constitutively active AKT in insensitive OS cells induces sensitivity to JQAD1, driven by physical relocalization of EP300, CBP and H3K27ac to genetic subtype-enriched dependency loci.
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Mechanistically, combinations of AKT inhibitors and JQAD1 suppress the growth of AKT-dysregulated OS. These observations extend across >850 cancer cell lines, where these agents positively combine in a manner mechanistically dependent on control of protein synthesis. Finally, combination treatment is synergistic in orthotopic OS xenografts.
These findings reveal genetic and transcriptional determinants of EP300 degrader function in high-risk OS and provide a foundation for biomarker-directed investigation of co-targeting of EP300 and AKT for therapeutic gain across cancers marked by enhanced protein translation.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE305nnn/GSE305936 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE305936 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1308485 ncbi.nlm.nih.gov/bioproject/PRJNA1308485 ↗
project · 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 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE305936 | 14 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 (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 |