Abstract 3200: New epigenetic mechanism of disulfiram targeting chromatin remodeling in neuroblastoma
Bibliographic record
Abstract
Abstract Pediatric neuroblastoma is one of the most common extra cranial cancers in children. Despite an improvement in survival with the currently available therapies, neuroblastoma with an amplification of the transcription factor MYCN have a very poor prognosis. New therapeutic approaches must be developed to increase the survival of patients. One such approach is epigenetic drug therapy. Neuroblastoma, like many other pediatric cancers, contains several epigenetic alterations at the level of DNA methylation and histone modifications. In a screening of FDA approved drugs, we discovered some molecules having characteristics of epigenetic drugs that were unknown until now. Our study seeks to demonstrate the efficacy of these molecules in the treatment of neuroblastoma cell lines. Following preliminary tests, one of the molecules approved by the FDA stood out: disulfiram, a medication approved for the treatment of chronic alcoholism. We treated neuroblastoma cell lines (MYCN amplified: IMR-32, N91 and SK-N-DZ; MYCN non-amplified: SK-N-AS and SK-N-SH) for 48 hours with disulfiram at clinically relevant concentrations (from 10 nM to 50 μM). Our results demonstrate a 50% growth inhibition (IC50) of 50nM for the cell lines tested. In addition, after analysis by flow cytometry, we found a cell cycle block in G2/M. We also observed a decrease in the transcription factor MYCN and a reduction in acetylation of several histone marks by Western blots analysis. Further studies are underway to determine the mechanism of action of disulfiram and we also plan on doing RNA sequencing and ChIP sequencing. This study will evaluate the efficacy of disulfiram alone as well as in combination with other epigenetic drugs, such as DNA methyltransferase inhibitor decitabine, for the treatment of neuroblastoma. Citation Format: Simon Jacques-Ricard, Noel Raynal, Gregory Armaos, Elodie Da Costa, Annie Beaudry. New epigenetic mechanism of disulfiram targeting chromatin remodeling in neuroblastoma. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3200.
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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) | 0.003 | 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".