Evidence map›Paper›PMID 39991103›Full record

ReviewThe EPMA journal2025

Epigenetic and biogenetic regulation by polyphenols in prostate cancer in the context of 3P medicine.

Huke Dong, Chen Zhang

Abstract readReview
In one paragraph

Review in The EPMA journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Huke DongDepartment of Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui Province, Hefei City, 230000 China.
Chen ZhangThe First Clinical Medical College, The First Affiliated of Anhui University of Traditional Chinese Medicine, Anhui Province, Hefei City, 230000 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) can remain asymptomatic for years, complicating early detection and effective intervention. Predictive, Preventive, and Personalized Medicine (3PM) provides a transformative framework for addressing these challenges by integrating novel biomarkers, targeted prevention, and individualized therapies. Recent studies highlight the pivotal role of dysregulated microRNAs (miRNAs) and epigenetic alterations in cancer progression and metastasis. miRNAs, as non-coding RNAs approximately 22 nucleotides in length, regulate gene expression through translational inhibition or mRNA degradation. Dysregulated miRNAs are linked to the overexpression of oncogenic proteins and suppression of tumor suppressor genes in malignancies. Polyphenols such as curcumin, quercetin, resveratrol, and green tea catechins (EGCG) have demonstrated potential in modulating miRNA expression and reversing aberrant epigenetic modifications. Despite their established anticancer effects, the clinical application of polyphenols in stratified patient groups, particularly in primary and secondary cancer prevention, remains underexplored. Beyond their anti-inflammatory and antioxidant properties, polyphenols modulate early epigenetic and biogenetic events critical for cancer prevention and therapy. By targeting predictive biomarkers and improving therapy response, polyphenols contribute significantly to 3PM by enabling early diagnostics, mitigating risks, and personalizing treatments. This review evaluates current knowledge of polyphenols' impact on miRNAs and epigenetics in PCa and explores their potential applications within the 3PM framework, emphasizing predictive diagnostics, targeted prevention, and personalized treatment strategies.

Indexed as

Anti-inflammatory and antioxidant propertiesApoptosisCancer progression and metastasisCurcuminDNA methylationEpigenetic regulationGreen teaMiRNAsOncologyPolyphenolsPredictive, Preventive, and Personalized Medicine (3PM / PPPM)Prostate cancerQuercetinResveratrolRisk mitigationTherapy response

Identifiers

PMID39991103
PMCPMC11842649

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.