Abstract A53: Synergistic interaction of HDACi and PLK1i in Group 3 <i>MYC</i>-amplified medulloblastoma
Bibliographic record
Abstract
Abstract Medulloblastoma (MB) is one of the common malignant brain tumors in children. Patients with MYC-amplified Group 3 MBs exhibit particularly poor survival rates even after intensive therapy. Surviving patients often suffer from long-term side effects. This calls for new therapeutic strategies, such as targeted therapy options. The sensitivity of MYC-amplified MBs to class I histone deacetylase (HDAC) inhibition was previously shown. In order to elucidate potential combination partners, we have identified PLK1 as one of the top regulated genes following treatment of MYC-amplified Group 3 MB cells with class I HDACi entinostat. Our aim here is to investigate possible combination treatments with entinostat and several PLK1i (volasertib, GSK461364, onvansertib). The cell metabolic activity was evaluated using MYC-amplified and nonamplified MB, high-grade glioma (HGG) and neuroblastoma (NB) cell lines after single and combination treatments. The interaction effect was determined by combination index (CI) (Chou-Talalay CI calculation method). Results were validated assessing cell viability, cell cycle profile, and caspase activity upon treatment with single agents or combination. On-target activity was examined using immunoblotting for pTCTP and H3K27ac. We have confirmed our findings in an inducible MYC cell line. The gene expression profile was analyzed in HD-MB03 cell line after entinostat, volasertib, or combination treatment. We demonstrate that the MYC target gene PLK1 is significantly downregulated upon HDACi treatment. Based on this, we hypothesized that inhibition of both class I HDACs and PLK1 could have synergistic effects. MYC-amplified cell lines were more sensitive than nonamplified cell lines to treatment with all PLK1i investigated, showing 3 to 10 times lower IC50. PLK1i and entinostat interacted synergistically (CI below 0.9) at lower concentrations in MYC-amplified compared to non-amplified MB cell lines. Similar results were obtained for MYC or N-MYC-amplified HGG and NB cell lines. We also observed the loss of viability and loss of fraction of cells in G1 phase in MYC-amplified MB cells after treatment with entinostat and PLK1i. MYC target genes were significantly downregulated in the MYC-amplified MB cell line HD-MB03 after treatment with PLK1i and entinostat. Moreover, we demonstrated reduction of MYC levels and faster MYC degradation upon volasertib treatment. Our data suggest that MYC-amplification might serve as a predictive biomarker for PLK1i treatment in MB and other entities. The combination of entinostat and PLKi could be a candidate therapy for future clinical trials for MYC-amplified Group 3 MB, and possibly other tumors harboring MYC amplification. Citation Format: Gintvile Valinciute, Jonas Ecker, Thomas Hielscher, Christin Schmidt, Marc Remke, Gianluca Sigismondo, Jeroen Krijgsveld, Stefan M. Pfister, Olaf Witt, Till Milde. Synergistic interaction of HDACi and PLK1i in Group 3 MYC-amplified medulloblastoma [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr A53.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".