Targeting of cancer stem cells by inhibitors of DNA and histone methylation
Bibliographic record
Abstract
INTRODUCTION: Curative chemotherapy should target cancer stem cells (CSCs). The key characteristics of CSCs are a block in differentiation and an epigenetic signature similar to embryonic stem cells (ESCs). Differentiation by ESCs and CSCs is suppressed by gene silencing through the polycomb repressive complex 2 (PRC2) and/or DNA methylation. PRC2 contains the EZH2 subunit, which catalyzes the trimethylation of histone 3 lysine 27, a gene silencing marker. It is possible to reverse this 'double lock' mechanism using a combination of inhibitors of EZH2 and DNA methylation (5-aza-2'-deoxycytidine), which exhibits remarkable synergistic antineoplastic activity in preclinical studies. AREAS COVERED: The authors discuss several specific EZH2 inhibitors that have been synthesized with antineoplastic activity. One such inhibitor, EPZ-6438 (E7438), has been shown to be effective against lymphoma in a Phase I study. The indirect EZH2 inhibitor, 3-deazaneplanocin-A (DZNep), also exhibits remarkable anticancer activity due to its inhibition of methionine metabolism. EXPERT OPINION: Agents that target EZH2 warrant Phase I trials. Due to its positive pharmacodynamics, DZNep merits a high priority for clinical investigation. Agents that show positive results in Phase I studies should be advanced to clinical trials for use in combination with 5-aza-2'-deoxycytidine due to the interesting potential of this epigenetic therapy to target CSCs.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".