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Epigenetic drug screening defines a PRMT5 inhibitor–sensitive pancreatic cancer subtype
Felix Orben, … , Dieter Saur, Günter Schneider
Felix Orben, … , Dieter Saur, Günter Schneider
Published April 19, 2022
Citation Information: JCI Insight. 2022;7(10):e151353. https://doi.org/10.1172/jci.insight.151353.
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Research Article Cell biology Oncology

Epigenetic drug screening defines a PRMT5 inhibitor–sensitive pancreatic cancer subtype

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Abstract

Systemic therapies for pancreatic ductal adenocarcinoma (PDAC) remain unsatisfactory. Clinical prognosis is particularly poor for tumor subtypes with activating aberrations in the MYC pathway, creating an urgent need for novel therapeutic targets. To unbiasedly find MYC-associated epigenetic dependencies, we conducted a drug screen in pancreatic cancer cell lines. Here, we found that protein arginine N-methyltransferase 5 (PRMT5) inhibitors triggered an MYC-associated dependency. In human and murine PDACs, a robust connection of MYC and PRMT5 was detected. By the use of gain- and loss-of-function models, we confirmed the increased efficacy of PRMT5 inhibitors in MYC-deregulated PDACs. Although inhibition of PRMT5 was inducing DNA damage and arresting PDAC cells in the G2/M phase of the cell cycle, apoptotic cell death was executed predominantly in cells with high MYC expression. Experiments in primary patient-derived PDAC models demonstrated the existence of a highly PRMT5 inhibitor–sensitive subtype. Our work suggests developing PRMT5 inhibitor–based therapies for PDAC.

Authors

Felix Orben, Katharina Lankes, Christian Schneeweis, Zonera Hassan, Hannah Jakubowsky, Lukas Krauß, Fabio Boniolo, Carolin Schneider, Arlett Schäfer, Janine Murr, Christoph Schlag, Bo Kong, Rupert Öllinger, Chengdong Wang, Georg Beyer, Ujjwal M. Mahajan, Yonggan Xue, Julia Mayerle, Roland M. Schmid, Bernhard Kuster, Roland Rad, Christian J. Braun, Matthias Wirth, Maximilian Reichert, Dieter Saur, Günter Schneider

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Figure 3

PRMT5i response is tuned by Myc.

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PRMT5i response is tuned by Myc.
(A) Viability of MYC-high (DanG, PSN1, ...
(A) Viability of MYC-high (DanG, PSN1, PaTu8988T, HUPT3) and MYC-low (Panc1, PaTu8988S, HPAC, Panc0504) cell lines treated for 72 hours with the indicated compounds, measured by CellTiter-Glo assay; n = 3, dosage range of 2 nM–10 μM used to determine AUC. *P < 0.05; unpaired 2-tailed t test. (B) Growth inhibitory 50% (GI50) concentrations of cell lines described in A after 7 days of treatment with JNJ-64619178. Clonogenic growth–based dose-response curves were analyzed with a nonlinear regression for curve fitting. n = 3, *P < 0.05; unpaired 2-tailed t test. (C) Dose-response curves of PPT-9091MYC-ER cells with 4-OHT (600 nM) or vehicle control after 6 days of treatment with JNJ-64619178. Viability was measured by CellTiter-Glo assay. (D) Clonogenic growth assay of PPT-9091MYC-ER cells with 4-OHT (600 nM) or vehicle (EtOH) after 7 days of treatment with JNJ-64619178. One representative experiment is depicted. (E) Quantification of 3 independent biological replicates of D. (F) Control and MYC-CRISPRa HPAC cells were analyzed by Western blot for MYC expression; β-actin: loading control (n = 4). (G) RNA-Seq of control and MYC-CRISPRa HPAC cells analyzed by GSEA using the GeneTrail platform. Enrichment scores and q value shown. (H) JNJ-64619178 dose-response curves of control and MYC-CRISPRa HPAC cells. Cells were treated for 6 days and ATP was measured as surrogate, n = 3. (I) JNJ-64619178 dose-response curves of control and PRMT5-CRISPRi PaTu8988T cells. Cells were treated for 6 days, and ATP was measured as surrogate. n = 4. (J) DanG cells were treated with ARV-771 (72 hours) as indicated or left as vehicle-treated controls. Western blotting demonstrated expression of BRD4, MYC, and PRMT5. β-Actin: loading control. One representative experiment out of 3 is shown. (K) JNJ-64619178 dose-response curve of DanG cell, cotreated with vehicle control or ARV-771 as indicated, n = 3.

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