Omics · study · 2026
Venetoclax Enhances gamma-deltaT cell Antileukemia Activity via Fatty Acid Oxidation in Relapsed Acute Myeloid Leukemia
Listed in NCBI GEO
Relapse remains a leading cause of death in acute myeloid leukemia (AML), in part because host immune surveillance declines over time.
Description
Gamma delta (gamma-delta) T cells contribute to immune surveillance and have been linked to better outcomes in AML. Here we show that gamma-deltaT cells from patients with relapsed AML display reduced effector programs compared with those from patients in complete remission.
In a targeted screen of approved AML drugs, the B-cell lymphoma 2 (Bcl-2) inhibitor venetoclax emerged as a potent enhancer of gamma-deltaT-cell cytotoxicity against primary AML blasts from both newly diagnosed and relapsed patients. Short ex vivo venetoclax exposure activated gamma-deltaT cells, increased proliferation, and lowered markers of exhaustion, thereby sustaining antileukemia activity over time. Venetoclax also increased mitochondrial respiration (oxidative phosphorylation) and respiratory reserve and shifted metabolism toward fatty acid oxidation.
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In AML xenograft models, adoptive transfer of venetoclax-pretreated gamma-deltaT cells, including chimeric antigen receptor (CAR)–engineered gamma-deltaT cells, produced superior tumor clearance compared with untreated cells. These findings indicate that venetoclax rejuvenates gamma-deltaT-cell function through metabolic remodeling and supports combining venetoclax with gamma-deltaT-cell–based immunotherapy for relapsed AML.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE306nnn/GSE306605 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE306605 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1311462 ncbi.nlm.nih.gov/bioproject/PRJNA1311462 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE306605 | 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 (65%) |
| 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: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 |