Evidence map›Paper›PMID 39331237›Full record

ReviewDiscover oncology2024

Recent progress in microRNA research for prostate cancer.

Fan Yuan, Yue Hu, Yanmei Lei, Lingna Jin

Abstract readReview
In one paragraph

Review in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Overdiagnosis and Overtreatment in Prostate Cancer.Diseases (Basel, Switzerland) · 2025
    Review
  7. Article
  8. 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

4 authors.

Fan Yuan *Department of Dermatology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, People's Republic of China.
Yue Hu *Health Management (Physical Examination) Center, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, People's Republic of China.
Yanmei LeiDepartment of Nuclear Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, People's Republic of China. 514241827@qq.com.
Lingna JinHealth Management (Physical Examination) Center, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, People's Republic of China. EamaEama@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, prostate cancer (PCa) has seen an increasing prevalence, particularly among middle-aged and older men, positioning it as a significant health concern. Current PCa screening predominantly utilizes prostate-specific antigen (PSA) testing, digital rectal examination (DRE), and the Gleason scoring system. However, these diagnostic methods can sometimes be imprecise. Research has identified that specific microRNAs (miRNAs) exhibit altered expression levels in PCa patients, suggesting their potential as biomarkers for both diagnosis and prognosis. Furthermore, advancements in integrating miRNAs with traditional Chinese medicine (TCM) have shown promising results in PCa treatment, potentially serving as micro-markers for TCM syndrome differentiation and treatment effectiveness. Recent developments in anti-cancer therapies that target miRNAs have also been implemented in clinical settings, laying the groundwork for personalized and precise treatment strategies for PCa. This review aims to summarize the expression patterns of miRNAs in PCa patients and explore their roles in the diagnosis, treatment, and prognosis of the disease.

Indexed as

DiagnoseMicroRNAPrognosisProstate cancerTraditional Chinese medicine

Identifiers

PMID39331237
PMCPMC11436510

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.