Omics · study · 2026
Combined BET Bromodomain and DNMT Inhibition Targets Lineage Plasticity in Prostate Cancer [BETi_DNMTi_human_RNAseq]
Listed in NCBI GEO
Lineage plasticity is increasingly recognized as a resistance mechanism to androgen receptor (AR) inhibition in prostate cancer.
Description
Neuroendocrine prostate cancer (NEPC) is the most lethal form of lineage plasticity in prostate cancer. BET bromodomain inhibitors (BETi) previously were shown to block genes associated with lineage plasticity.
Extensive rewiring of DNA methylation is also associated with NEPC tumors. We sought to determine whether combined BET protein and DNA methyltransferase inhibition (DNMTi) would result in greater anti-tumor activity than single agent treatments alone. To test this, we treated NEPC cell line models with 500nM ZEN (BETi), 100nM dAZA (DNMTi), or the combination daily for 72hrs.
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We also tested the BETi + DNMTi combination in vivo using an NEPC PDX (LTL331R) with 50mg/kg ZEN and 0.8mg/kg dAZA. Combined BETi and DNMTi was more effective than single agent treatment in suppressing growth in NEPC models compared to single agent treatments. To identify the gene expression changes underlying the superior viability effect of the combo treatment, we peformed RNAseq on treated cells.
We also performed RNAseq on a PDX model that reliably transitions from adenocarcinoma (LTL331) to NEPC (LTL331R) in order to uncover the gene expression changes associated with NEPC lineage plasticity and to determine whether BETi and/or DNMTi reverses these gene expression changes.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE309nnn/GSE309034 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE309034 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1333834 ncbi.nlm.nih.gov/bioproject/PRJNA1333834 ↗
project · from NCBI GEO
- PubMed 42579341 pubmed.ncbi.nlm.nih.gov/42579341 ↗
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 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE309034 | 15 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 |