Synergistic antileukemic action of a combination of inhibitors of DNA methylation and histone methylation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
DNA methylation and histone methylation are both involved in epigenetic regulation of gene expression and their dysregulation can play an important role in leukemogenesis. Aberrant DNA methylation has been reported to silence the expression of tumor suppressor genes in leukemia. Overexpression of the histone methyltransferase, EZH2, a subunit of the polycomb group repressive complex 2 (PRC2), was observed to promote oncogenesis. This is due to aberrant gene silencing by the trimethylation of histone H3 lysine 27 (H3K27me3) by EZH2. Since both these epigenetic silencing events are reversible, they are interesting targets for chemotherapeutic intervention by using an inhibitor of DNA methylation, such as 5-aza-2'-deoxcytidine (5-AZA-CdR), and 3-deazaneplanocin-A (DZNep), an inhibitor of the EZH2. Human HL-60 and murine L1210 leukemic cells exposed in vitro to 5-AZA-CdR and DZNep in combination showed a synergistic loss of clonogenicity in a colony assay as compared to each agent alone. This positive chemotherapeutic interaction was also observed in mice with L1210 leukemia. Quantitative PCR showed that the combination also produced a remarkable synergistic activation of the tumor suppressor genes, CDKN1A and FBXO32. Microarray analysis showed that 5-AZA-CdR plus DZNep produced a synergistic activation of >150 genes. Our results indicate that 5-AZA-CdR plus DZNep can reactivate target genes that are silenced by two distinct epigenetic mechanisms leading to a loss of the proliferative potential of leukemic cells.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| 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) | 0.000 | 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 it