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Record W4415207276 · doi:10.1007/s12672-025-03605-w

The molecular aspects in prostatic cancer, unraveling the role of CDKs in prostate cancer progression

2025· review· en· W4415207276 on OpenAlex
Zahra Farjami, Zahra Mohammadzadeh, Bita Saifi, Mohammad Mehdi Akbarin

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDiscover Oncology · 2025
Typereview
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsProvidence Health Care
Fundersnot available
KeywordsProstate cancerCyclin-dependent kinaseProstate diseaseAntiandrogensProstateCancer

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.392
Teacher spread0.378 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it