Nature CommunicationsCancer BiologyPeer-reviewed journal article
Histone methyltransferase PRDM9 promotes survival of drug-tolerant persister cells in glioblastoma
George L. JouniD, Emma G. KempeiD, Brianna Chen, Jayden SterlingiD, Ramzi H. AbbassiiD, Dana FriessiD, Matthew SingletoniD, Chandra ChoudhuryiD, Oana C. MarianiD, Willem Daniel du Preez, Ariadna RecasensiD, Teleri ClarkiD, Tian Y. DuiD, Jason K. K. LowiD, Hani KimiD, Pengyi YangiD, Jasmine X. Y. KhoriD, Monira HoqueiD, Dinesh C. IndurthiiD, Mani KuchibhotlaiD, Ranjith Palanisamy, William T. JorgenseniD, Andrew P. MontgomeryiD, Jennifer R. BakeriD, Sarah L. HigginbottomiD, , Lenka MunoziD
Abstract
Chemotherapy often kills a large fraction of cancer cells but leaves behind a small population of drug- tolerant persister cells. These persister cells survive drug treatments through reversible, non-genetic mechanisms and cause tumour recurrence upon cessation of therapy. Here, we report a drug tolerance mechanism regulated by the germ-cell-specific H3K4 methyltransferase PRDM9. Through histone proteomic, transcriptomic, lipidomic, and ChIP-sequencing studies combined with CRISPR knockout and phenotypic drug screen, we identified that chemotherapy-induced PRDM9 upregulation promotes metabolic rewiring in glioblastoma stem cells, leading to chemotherapy tolerance. Mechanistically, PRDM9-dependent H3K4me3 at cholesterol biosynthesis genes enhances cholesterol biosynthesis, which persister cells rely on to maintain homeostasis under chemotherapy- induced oxidative stress and lipid peroxidation. PRDM9 inhibition, combined with chemotherapy, resulted in strong anti-cancer efficacy in preclinical glioblastoma models, significantly enhancing the magnitude and duration of the antitumor response by eliminating persisters. These findings demonstrate a previously unknown role of PRDM9 in promoting metabolic reprogramming that enables the survival of drug-tolerant persister cells.
- organism: human
- assay: ChIP-seq
- assay: proteomics
- assay: metabolomics
- assay: bulk RNA-seq
- research focus: cancer & tumor microenvironment
- approach: statistical model
- approach: experimental assay
- Citations
- 12
- FWCI
- 7.69
- Field percentile
- top 2%
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