Evidence map›Paper›PMID 24979663›Full record

ReviewIUBMB life2014

Uncovering the roles of miRNAs and their relationship with androgen receptor in prostate cancer.

Song ChunJiao, Chen Huan, Xu ChaoYang, Ru GuoMei

Open access · hybridAbstract readReview
In one paragraph

Review in IUBMB life, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 19% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Profiling Prostate Cancer Therapeutic Resistance.International journal of molecular sciences · 2018
    Review
  12. Article
  13. Emerging biomarkers in the diagnosis of prostate cancer.Pharmacogenomics and personalized medicine · 2018
    Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. 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 at 2 institutions in 1 country.

Song ChunJiaoShaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, Zhejiang Province, China.
Chen Huan
Xu ChaoYang
Ru GuoMei
Shaoxing People's Hospital · CNInstitute of Microbiology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the second most commonly occurring malignant tumor in Europe and America. Normal and neoplastic growth of prostate gland are dependent on androgen receptor (AR) expression and function. PCa is driven by androgen and its receptor, and they continue to be the key drivers of castration-resistant prostate cancer (CRPC). CRPC is the terminal stage of PCa and seriously jeopardizes the patient's quality of life and lifespan. miRNAs are small noncoding RNAs, 18-25 nt in length that destabilize mRNA or repress protein synthesis by interacting with the 3'-untranslated regions (3'-UTR) of target mRNAs. miRNAs can regulate AR or be regulated by AR and then affect various signaling pathways related to cellular functions and tumor processes. In this review, we focus on the relationship between miRNAs and AR in PCa and elucidate their roles in the induction of malignant changes in PCa.

Indexed as

Disease ProgressionGene Expression RegulationHumansMaleMicroRNAsProstatic NeoplasmsReceptors, AndrogenMicroRNAsReceptors, Androgenandrogen receptorcastration-resistant prostate cancermiRNAsprostate cancertarget genes

Identifiers

PMID24979663
PMCPMC4140600
OpenAlexW1864918391

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.