Evidence map›Paper›PMID 37313187›Full record

ArticleArchives of medical science : AMS2023

miR-200a-3p predicts prognosis and inhibits bladder cancer cell proliferation by targeting STAT4.

Ming Li, Jie Li, Chaoyang Ye, Weiwu Wu, Yi Cheng

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Bladder cancer: non-coding RNAs and exosomal non-coding RNAs.Functional & integrative genomics · 2024
    Review
  8. Review
  9. Article
  10. 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

5 authors.

Ming LiDepartment of Urology, the Fifth People's Hospital of Dongguan, Dongguan, Guangdong Province, China.
Jie LiDepartment of Urology, the Fifth People's Hospital of Dongguan, Dongguan, Guangdong Province, China.
Chaoyang YeDepartment of Urology, the Fifth People's Hospital of Dongguan, Dongguan, Guangdong Province, China.
Weiwu WuDepartment of Urology, the Fifth People's Hospital of Dongguan, Dongguan, Guangdong Province, China.
Yi ChengDepartment of Urology, the Fifth People's Hospital of Dongguan, Dongguan, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: STAT4 is a transcriptional regulator that has been reported to have oncogenic activities in various cancers. In our study, the posttranscriptional regulatory effect of miR-200a-3p on STAT4 and the prognostic significance of miR-200a-3p and STAT4 were evaluated in bladder cancer (BCa). Material and methods: Proliferation and apoptosis of BCa cell lines were monitored using CCK-8 and Annexin V-FITC assays, respectively. Gene and protein expression levels in BCa tissues and cells were detected using RT-qPCR and western blotting, respectively. Results: Significant downregulation of miR-200a-3p and upregulation of STAT4 were observed in BCa tissues and cells compared with the corresponding non-tumor adjacent tissues. Both STAT4 and miR-200a-3p were validated as independent prognostic indicators in sixty-nine BCa patients for predicting overall survival and disease-free survival. Conclusions: The miR-200a-3p/STAT4 signaling cascade plays an important role in the progression of BCa, which provides a new promising target for targeted BCa therapies.

Indexed as

bladder cancermiR-200a-3pposttranscriptional regulationprognosisproliferationSTAT4

Identifiers

PMID37313187
PMCPMC10259411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.