FB2024_03 , released June 25, 2024
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La Marca, J.E., Ely, R.W., Diepstraten, S.T., Burke, P., Kelly, G.L., Humbert, P.O., Richardson, H.E. (2023). A Drosophila chemical screen reveals synergistic effect of MEK and DGKα inhibition in Ras-driven cancer.  Dis. Model Mech. 16(3): dmm049769.
FlyBase ID
FBrf0256155
Publication Type
Research paper
Abstract
Elevated Ras signalling is highly prevalent in human cancer; however, targeting Ras-driven cancers with Ras pathway inhibitors often leads to undesirable side effects and to drug resistance. Thus, identifying compounds that synergise with Ras pathway inhibitors would enable lower doses of the Ras pathway inhibitors to be used and also decrease the acquisition of drug resistance. Here, in a specialised chemical screen using a Drosophila model of Ras-driven cancer, we have identified compounds that reduce tumour size by synergising with sub-therapeutic doses of the Ras pathway inhibitor trametinib, which targets MEK, the mitogen-activated protein kinase kinase, in this pathway. Analysis of one of the hits, ritanserin, and related compounds revealed that diacyl glycerol kinase α (DGKα, Dgk in Drosophila) was the critical target required for synergism with trametinib. Human epithelial cells harbouring the H-RAS oncogene and knockdown of the cell polarity gene SCRIB were also sensitive to treatment with trametinib and DGKα inhibitors. Mechanistically, DGKα inhibition synergises with trametinib by increasing the P38 stress-response signalling pathway in H-RASG12V SCRIBRNAi cells, which could lead to cell quiescence. Our results reveal that targeting Ras-driven human cancers with Ras pathway and DGKα inhibitors should be an effective combination drug therapy.
PubMed ID
PubMed Central ID
PMC10110402 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Dis. Model Mech.
    Title
    Disease models & mechanisms
    ISBN/ISSN
    1754-8403 1754-8411
    Data From Reference