Enitociclib, a selective CDK9 inhibitor: in vitro and in vivo preclinical studies in multiple myeloma
Bibliographic record
Abstract
• Targeting cyclin-dependent kinase 9 with enitociclib induces apoptotic cell death in MM and demonstrates synergy in drug combinations. • Enitociclib may be an effective treatment for MM as a single agent or in combination therapies in future clinical studies. Multiple myeloma (MM) is a cancer of plasma cells that remains incurable despite advances in treatment options. In this study, a library of 216 clinically feasible small-molecule inhibitors was screened to identify agents that selectively inhibit MM cell proliferation. Enitociclib, a cyclin-dependent kinase 9–specific small-molecule inhibitor, was found to be highly effective in decreasing cell viability and inducing apoptosis in 4 MM cell lines. Enitociclib inhibited the phosphorylation of the carboxy-terminal domain (CTD) of RNA polymerase II at Ser2/Ser5 and repressed the protein expression of oncogenes c-Myc, myeloid cell leukemia-1 (Mcl-1), and proliferating cell nuclear antigen (PCNA) in MM cells. Additionally, enitociclib demonstrated synergistic effects with several anti-MM agents, including bortezomib, lenalidomide, pomalidomide, and venetoclax. These results suggest that enitociclib may represent a promising therapeutic option for the treatment of MM, either as a single agent or in combination with other anti-MM agents.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".