Targeting MDM2-dependent serine metabolism as a therapeutic strategy for liposarcoma.
Madi Y CisséSamuel PyrdziakNelly FirminLaurie GayteMaud HeuilletFloriant BellvertMaryse FuentesHélène DelpechRomain RiscalGiuseppe ArenaFrédéric ChibonSophie Le GellecAurélie Maran-GonzalezMarie-Christine ChateauCharles TheilletSébastien CarrereJean-Charles PortaisLaurent Le CamLaetitia K LinaresPublished in: Science translational medicine (2021)
Well-differentiated and dedifferentiated liposarcomas (LPSs) are characterized by a systematic amplification of the MDM2 oncogene, which encodes a key negative regulator of the p53 pathway. The molecular mechanisms underlying MDM2 overexpression while sparing wild-type p53 in LPS remain poorly understood. Here, we show that the p53-independent metabolic functions of chromatin-bound MDM2 are exacerbated in LPS and mediate an addiction to serine metabolism that sustains nucleotide synthesis and tumor growth. Treatment of LPS cells with Nutlin-3A, a pharmacological inhibitor of the MDM2-p53 interaction, stabilized p53 but unexpectedly enhanced MDM2-mediated control of serine metabolism by increasing its recruitment to chromatin, likely explaining the poor clinical efficacy of this class of MDM2 inhibitors. In contrast, genetic or pharmacological inhibition of chromatin-bound MDM2 by SP141, a distinct MDM2 inhibitor triggering its degradation, or interfering with de novo serine synthesis, impaired LPS growth both in vitro and in clinically relevant patient-derived xenograft models. Our data indicate that targeting MDM2 functions in serine metabolism represents a potential therapeutic strategy for LPS.
Keyphrases
- inflammatory response
- gene expression
- transcription factor
- dna damage
- anti inflammatory
- protein kinase
- magnetic resonance
- wild type
- cell death
- cancer therapy
- dna methylation
- oxidative stress
- signaling pathway
- electronic health record
- artificial intelligence
- robot assisted
- copy number
- deep learning
- combination therapy