Omics · study · 2026
AML-PDXs Accelerate Development of Novel Drug Combinations for KMT2A-rearranged Acute Myeloid leukemia
Listed in NCBI GEO
In pediatric acute myeloid leukemia (AML) the achievement of complete remission with standard treatments is obtained in most cases, but relapse still occurs in 30% of patients with greater incidence found in those patients showing high-risk AML genetic features.
Description
There is, therefore, an urgent need to identify novel effective therapies for children with relapsed-refractory leukemia. We established 26 AML patient-derived xenografts (PDXs), through sequential engraftment in NSG mice, including 14 high-risk genetic subtypes.
Results confirmed AML-PDXs robustly resemble the original AML in terms of immunophenotype, genomic, and transcriptomic profiles, offering a comprehensive view of the disease complexity, useful to tailor therapies. In particular, by whole-exome sequencing, we evidenced a high intra-tumoral heterogeneity and we identified variants of each founder clone being perpetuated from patient-AML blasts to PDX. Then, we explored the efficacy of several drugs predicted to target these genomic variants in a three-dimensional in vitro culture and demonstrated that targeting variants of theWnt/β-cateninpathway is a promising strategy to reduce AML subclone fitness.
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By RNA-sequencing we observed thatKMT2A-rearranged AML and AML-PDXs shared aberrantly activated metabolic and stem expression signatures and documented that both IACS-010759 and Asparaginase, tailored to target transcriptome aberrancies, if combined with Venetoclax, mediated a significantly prolonged PDXs survival compared to Venetoclax used as single agent. Overall, our data indicate that AML-PDX models are unique tools for capturing AML heterogeneity, offering the possibility to target cancer cells in their multiple aspects, this increasing the chance to fully eradicate leukemia cells.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE268nnn/GSE268003 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE268003 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1114018 ncbi.nlm.nih.gov/bioproject/PRJNA1114018 ↗
project · from NCBI GEO
- PubMed 41576348 pubmed.ncbi.nlm.nih.gov/41576348 ↗
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% · Disease 75% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE268003 | 11 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[disease].local:disease:disease | 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:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |