Study
Integration of genomics and metabolomics in acute myeloid leukemia
| Study ID | Alternative Stable ID | Type |
|---|---|---|
| EGAS00001005422 | Other |
Study Description
Although targeting of cell metabolism is a promising therapeutic strategy in acute myeloid leukemia (AML), metabolic dependencies are largely unexplored. We aimed to classify AML patients based on their metabolic landscape and map connections between metabolic and genomic profiles. The intracellular metabolome distinguished three AML clusters, correlating with distinct genomic profiles: NPM1-mutated(mut), chromatin/spliceosome-mut and TP53-mut/aneuploid AML that were confirmed by biofluid analysis.
Study Datasets 1 dataset.
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| Dataset ID | Description | Technology | Samples |
|---|---|---|---|
| EGAD00001007941 |
Whole exome sequencing (WES) data of paired (germline and leukemic) samples of 100 adult patients affected by acute myeloid leukemia.
Targeted sequencing data of myeloid-related genes of 21 leukemia (not paired) samples from adult patients affected by acute myeloid leukemia.
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221 |
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