hENT Inhibition Prevents Pyrimidine-Driven Resistance to DHODH Inhibition in Malignant Rhabdoid Tumors
Kes, M. M. G.; Perticari, G.; Kooiman, J.; Anderson, N.; Jansen, J. W. A.; Zaal, E. A.; Berkers, C. R.; Drost, J.
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Extracranial malignant rhabdoid tumors (ecMRTs) are aggressive pediatric cancers characterized by mutations in genes encoding members of the SWItch/Sucrose Non-Fermentable (SWI/SNF) chromatin remodeling complex, with limited effective treatment options. Metabolic reprogramming, including nucleotide biosynthesis, is a hallmark of cancer that represents a potential therapeutic vulnerability. Previously, we demonstrated that inhibition of the de novo pyrimidine synthesis enzyme dihydroorotate dehydrogenase (DHODH) represents a promising treatment strategy for rhabdoid tumors, including ecMRTs and atypical teratoid/rhabdoid tumors (AT/RTs). Using patient-derived tumoroid models, we now extend these findings by showing that another SWI/SNF-deficient pediatric cancer, small cell carcinoma of the ovary, hypercalcemic type (SCCOHT), is also sensitive to DHODH inhibition. Gene expression analyses further confirmed that SCCOHT and AT/RT, like ecMRT, exhibit elevated expression of de novo nucleotide synthesis genes. To determine whether metabolic features of the tumor microenvironment (TME) influence DHODH inhibitor (DHODHi) response, we profiled plasma and tumor interstitial fluid from orthotopic ecMRT-bearing mice and found that the TME was markedly enriched in nucleosides and nucleobases. Supplementation of standard culture media with these nucleosides demonstrated that pyrimidines, but not purines, can rescue ecMRT cells from DHODHi-induced growth inhibition via activation of the pyrimidine salvage pathway. This resistance mechanism was effectively reversed by co-treatment with human equilibrative nucleoside transporter (hENT) inhibitors, enhancing DHODHi sensitivity in ecMRTs. Collectively, these findings reveal a conserved metabolic vulnerability across SWI/SNF-deficient pediatric cancers and emphasize the critical importance of modeling tumor metabolism under physiologically relevant conditions to accurately identify metabolism-targeted therapeutic strategies for these currently lethal pediatric cancer types.
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