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Record W4361205594 · doi:10.2217/epi-2023-0045

Epigenetics-Based Diagnostic and Therapeutic Strategies: Shifting the Paradigm in Prostate Cancer

2023· review· en· W4361205594 on OpenAlex

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

VenueEpigenomics · 2023
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsEpigeneticsProstate cancerBiologymicroRNABioinformaticsCancerEpigenesisNon-coding RNADNA methylationComputational biologyCancer researchGene expressionGeneGenetics

Abstract

fetched live from OpenAlex

Despite recent advances, prostate cancer (PCa) remains a leading cause of cancer morbidity and mortality. Clinically, PCa screening methods display low sensitivity and specificity, leading to suboptimal patient care. Recent research suggests that PCa progression is regulated by a coordinated spectrum of epigenetic alterations that notably involves noncoding RNAs. These molecular aberrations drive PCa progression by inducing gene expression programs that promote metastatic dissemination. Epigenetic proteins and noncoding RNAs can be detected noninvasively in body fluids, allowing improved PCa screening and prognosis. In addition, epigenetic alterations can be targeted pharmacologically, providing unprecedented therapeutic opportunities. This work reviews the current literature linking epigenetic dysregulation and PCa progression and proposes a framework for integrating epigenetic strategies into the clinical management of 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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.050
GPT teacher head0.351
Teacher spread0.301 · 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