GEO series
Genomic and transcriptomic determinants of clinical outcomes in patients with AML and DNMT3A mutations
GSE297413
Homo sapiens
Expression profiling by high throughput sequencing
264 samples
2025/05/19
GPL24676
Summary
Acute myeloid leukemia (AML) and DNMT3A mutations (DNMT3Amut) are considered to carry intermediate risk under the 2022 European LeukemiaNet (ELN-2022) classification in the absence of other co-mutations or cytogenetic abnormalities. However, this group is highly heterogeneous. In this study, the genomic and transcriptomic features influencing outcomes in DNMT3A-mutated AML were examined in a cohort of 884 patients with AML receiving standard chemotherapy. Stratification by NPM1 and FLT3-ITD status revealed worse survival among patients with NPM1 mutations and wild-type FLT3-ITD (NPM1mut/FLT3-ITDwt) than patients in the ELN-2022 favorable risk group. The other three subgroups (NPM1mut/FLT3-ITDmut, NPM1wt/FLT3-ITDmut, and NPM1wt/FLT3-ITDwt) exhibited worse prognoses than patients in the ELN-2022 intermediate risk group. Additionally, the presence of TET2mut in patients with AML and DNMT3Amut/NPM1mut/FLT3-ITDwt led to reclassification from favorable risk to intermediate risk in the ELN-2022. RNA-sequencing analysis revealed a distinct transcriptomic profile in patients with TET2mut, highlighting the enrichment of leukemic stem cell signatures and dendritic cell migration, with MMP14, CD200, and CT45A5 identified as key differentially expressed genes. In conclusion, co-mutation patterns strongly affected AML outcomes in patients with DNMT3Amut. Patients with TET2mut constituted a unique subgroup within the ELN-2022 favorable DNMT3Amut/NPM1mut/FLT3-ITDwt group, characterized by distinct transcriptomic features and an unfavorable prognosis.
Download
NCBI GEO page ↗
Paper (PMID 40389402) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
- GSE330029 Temporal changes in metabolism guide oligodendrocyte precursor cell dynamics in aging and multiple sclerosis [BulkRNAseq] 108 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.