The molecular aspects in prostatic cancer, unraveling the role of CDKs in prostate cancer progression
Bibliographic record
Abstract
BACKGROUND: Prostate cancer (PCa) is one of the leading causes of morbidity and mortality in the world, it becomes imperative to investigate the molecular mechanisms underlying practical therapeutic approaches. Cyclin-dependent kinases (CDKs) are critical regulators of cell cycle progression, and their dysregulation has been implicated in PCa. METHODS: This review synthesizes recent findings on CDK-mediated signaling pathways and their role in PCa progression. The overall goal of this review article is to elucidate the molecular mechanisms by which CDK molecules contribute to the development, progression, and metastasis of PCa. RESULTS: Elevated expression of CDK1, CDK3, CDK5, and CDK16 is associated with poorer outcomes, and specifically, high CDK3 expression correlates with shorter progression-free survival. CONCLUSIONS: Targeting CDKs, particularly CDK3 and CDK4/6, may represent a promising therapeutic strategy for PCa.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".