EPCO-28. DOT1L AND PRC2 REGULATE A SHARED EPIGENETIC MECHANISM IN GLIOBLASTOMA AND MIXED LINEAGE LEUKEMIA
Bibliographic record
Abstract
Abstract Glioblastoma (GBM) is the most aggressive adult brain tumor, with a median survival of 15 months despite current treatments. We recently established that the epigenetic regulator Disruptor of Telomeric Silencing-1-Like (DOT1L) was essential for the growth of brain tumor stem cells (BTSCs), which are thought to underlie GBM tumor initiation and treatment resistance. Given the previously recognized importance of DOT1L histone methylation for the regulation of the similarly rare and aggressive childhood cancer, Mixed Lineage Leukemia (MLL), we interrogated for common mechanisms in both BTSCs and MLL cells, that overlap due to the epigenetic role of DOT1L. To gain a more detailed perspective of the importance of the DOT1L epigenetic mark in BTSCs, we performed a chemogenomic screen using the DOT1L inhibitor, EPZ-5676. Results from this screen revealed genes from transcriptional and epigenetic complexes required for a therapeutic response to DOT1L inhibition in BTSCs. Gene targeting approaches and growth assays further identified the Polycomb Repressive Complex 2 (PRC2) as a common determining factor for the growth response of both BTSCs and MLL cells following DOT1L inhibition. Furthermore, analysis of the chromatin accessibility changes regulated by DOT1L and PRC2 histone methylation identified both shared and unique epigenetic characteristics of GBM and MLL. The extent to which these shared mechanisms underpin the pathogenic process in these distinct diseases is being further investigated by assessing the divergence in transcriptional responses that emerge from this common epigenetic phenomenon. The findings from this study will provide insight into the importance of shared epigenetic mechanisms that underlie the tumorigenesis of unique cancers affecting the brain and blood.
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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) | 0.001 | 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".