Metabolomics

Dataset Information

0

MDM2-Dependent Rewiring of Metabolomic and Lipidomic Profiles in Dedifferentiated Liposarcoma Models


ABSTRACT: Dedifferentiated liposarcoma (DDLPS) is an aggressive mesenchymal cancer marked by amplification of MDM2, an inhibitor of the tumor suppressor TP53. DDLPS patients with higher MDM2 amplification have lower chemotherapy sensitivity and worse outcome than patients with lower MDM2 amplification. We hypothesized that MDM2 amplification levels may be associated with changes in DDLPS metabolism. Six patient-derived DDLPS cell line models were subject to comprehensive metabolomic (Metabolon) and lipidomic (SCIEX 5600 TripleTOF-MS) profiling to assess associations with MDM2 amplification and their responses to metabolic perturbations. Comparing metabolomic profiles between MDM2 higher and lower amplification cells yielded a total of 23 differentially abundant metabolites across both panels (FDR < 0.05, log2 FC < 0.75), including ceramides, glycosylated ceramides, and sphingomyelins. Disruption of lipid metabolism through statin administration resulted in a chemo-sensitive phenotype in MDM2 lower cell lines only, suggesting that lipid metabolism may be a large contributor to the more aggressive nature of MDM2 higher DDLPS tumors. This study is the first to provide comprehensive metabolomic and lipidomic characterization of DDLPS cell lines and provides evidence for MDM2-dependent differential molecular mechanisms that are critical factors in chemoresistance and could thus affect patient outcome.

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Cultured Cells

SUBMITTER: Andrew Patt  

PROVIDER: ST001405 | MetabolomicsWorkbench | Fri May 22 00:00:00 BST 2020

REPOSITORIES: MetabolomicsWorkbench

Similar Datasets

2014-10-10 | GSE61621 | GEO
2021-06-26 | GSE153474 | GEO
2015-01-01 | E-GEOD-63042 | biostudies-arrayexpress
2014-10-10 | E-GEOD-61621 | biostudies-arrayexpress
2015-10-30 | E-GEOD-74463 | biostudies-arrayexpress
2013-07-17 | GSE48539 | GEO
| PRJNA532793 | ENA
2014-01-14 | E-GEOD-53990 | biostudies-arrayexpress
2015-11-06 | E-GEOD-74736 | biostudies-arrayexpress
2016-05-01 | GSE79126 | GEO