Excel · study · 2026
Histone deacetylase enzyme activity is not the universal anti-cancer target of HDAC inhibitors [RNA-seq_MC38]
Listed in NCBI GEO
As a family of anti-cancer drugs, histone deacetylase inhibitors (HDIs) show efficacies against a wide range of cancers, but their mechanism of action is unclear.
Description
Here, we performed unbiased bioinformatics analysis and found that genetic variants or expression levels of HDACs do not correlate with the carcinogenesis of most cancer types and do not predict cancer patient survival. Whole-genome CRISPR library screens did not identify HDACs as genes affecting cellular responses to HDIs such as SAHA or MS-275.
Overexpression of dominant-negative, catalytically inactive Class I HDACs (HDAC1, 2, 3, and 8) caused a similar degree of histone hyperacetylation as Class I-specific HDI FK228 in cancer cell lines without similar anti-cancer effects, transcriptomic changes, or cellular responses to FK228. The anti-cancer effects of FK228 can be further dissociated from the histone hyperacetylation in an in-situ liver cancer mouse model.
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Importantly, chemical manipulations of several pan-HDIs abolished HDAC-inhibiting activity but retained the majority of anti-cancer effects in a mouse xenograft cancer model. These results suggest that HDAC enzyme activity is not a universal de facto target of HDIs for their anti-cancer efficacy. These findings have profound implications for understanding the pharmacodynamics of HDIs and developing next-generation compounds for this promising family of anti-cancer drugs.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE288nnn/GSE288240 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE288240 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1216609 ncbi.nlm.nih.gov/bioproject/PRJNA1216609 ↗
project · from NCBI GEO
- PubMed 42248845 pubmed.ncbi.nlm.nih.gov/42248845 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE288240 | 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[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 |