Omics · study · 2026
Boosting anti-leukemia cytotoxicity of CD4 and CD8 T cells through combined inhibition of MEK and HDAC
Listed in NCBI GEO
Acute myeloid leukemia (AML) is an aggressive blood cancer with a 5-year overall survival rate of 30%.
Description
Although immunotherapies engaging T cells demonstrate remarkable success in treating many solid tumors and blood cancers, they show little to no efficacy in treating AML. Therefore, immunotherapies are traditionally underappreciated and underdeveloped in AML.
Through a drug re-purpose screen, we identified and validated that combined MEK and HDAC inhibitions via trametinib and quisinostat (TQ) potently inhibited the growth of mouse and human NRAS;ASXL1-AML (NA-AML), MLLr, and NPM1 mutated AML cells in vitro. In NA-AML mice, TQ drastically slowed down AML progression and prolonged their survival. The survival benefits of TQ largely relied on T cell functions.
Read the rest (2 more)
We show that TQ synergized to downregulate immune checkpoint ligands and upregulate STAT1- and CIITA-mediated expression of MHC-I and MHC-II in NA-AML cells. In addition, TQ treatment significantly reprogrammed transcriptome and epigenetic landscape of T cells, activated STAT1 signaling, and upregulated genes and pathways promoting activation, survival, and cytotoxicity of CD4 and CD8 T cells. A cytotoxic cluster was thus expanded in central memory and effector memory T cells in TQ-treated NA-AML mice.
More importantly, TQ directly acted on AML-associated mouse and human T cells, reverting them from a dysfunctional state to an active state. In leukemia:T cell co-cultures, TQ-treated T cells demonstrated greatly improved MHC-dependent leukemia killing. Our findings suggest that the dual actions of TQ on NA-AML and T cells enhance leukemia recognition and anti-leukemia killing of endogenous T cells, leading to effective AML clearance.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE345nnn/GSE345822 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE345822 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1522022 ncbi.nlm.nih.gov/bioproject/PRJNA1522022 ↗
project · 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 | GSE345822 | 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 (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 |