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DOI: 10.1055/s-0043-1774770
Preventing recurrence: targeting molecular mechanisms driving tumor growth rebound after MAPKi withdrawal in pediatric low-grade glioma
Authors
Pediatric low-grade gliomas, the most common primary brain tumors in children, are mainly driven by alterations in the MAPK pathway. While patients often benefit from MAPK-inhibitors during treatment, tumor rebound may occur once treatment is stopped, constituting a significant clinical challenge.
BT-40, patient-derived cells with molecular features of pleomorphic xanthoastrocytoma (BRAFV600E, CDKN2Adel), were used to model the rebound growth in vitro, based on viable cell counts in response to treatment and withdrawal of the clinically relevant BRAFV600E-specific inhibitor dabrafenib and standard-of-care chemotherapy as a reference. Based on the observed cell-regrowth and MAPK signaling reactivation pattern (WB- and qPCR-analysis), key-timepoints during withdrawal were identified and further analyzed through RNAseq.
BT-40 cell regrowth was faster after dabrafenib withdrawal compared to chemotherapy withdrawal. MAPK pathway activity showed a transient overactivation upon treatment withdrawal before going back to baseline. Furthermore, single-sample geneset enrichment analysis and GO-Term analysis of upregulated genes upon dabrafenib treatment and withdrawal showed significant enrichment of cytokine-related signaling. This is associated with increased expression of 37 cytokines. Phospho-/proteomics analyses to validate this finding is currently underway.
The earlier cell regrowth after dabrafenib withdrawal compared to chemotherapy withdrawal matches clinical observations, making the model suitable to study the rebound. Gene expression analysis showed enrichment of cytokine activity upon dabrafenib treatment and withdrawal, potentially driving cell rebound growth. Protein expression and secretion of significantly upregulated cytokines is being investigated to identify potential rebound-breaking targets, which will be further investigated in vitro and in vivo using BT-40 as well as additional PXA models.
Publication History
Article published online:
09 November 2023
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