Evidence map›Paper›PMID 25060632›Full record

ReviewCancer gene therapy2014

MicroRNA and signaling pathways in gastric cancer.

Z Zhang, Z Li, Y Li, A Zang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer gene therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
1.1field-weighted citation impact, top 24% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
  4. Review
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  6. Article
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  13. Article
  14. The role of TRPV1 ion channels in the suppression of gastric cancer development.Journal of experimental & clinical cancer research : CR · 2020
    Article
  15. Article
  16. Article
  17. Women with chronic follicular gastritis positive for Helicobacter pylori express lower levels of GKN1.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2020
    Article
  18. Article
  19. Article
  20. Deregulation of miRNA inJournal of clinical medicine · 2019
    Article
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.

Z ZhangDepartment of Oncological Surgery, Affiliated Hospital of Hebei University, Baoding, China.
Z LiDepartment of Oncological Surgery, Affiliated Hospital of Hebei University, Baoding, China.
Y LiDepartment of Gastric Cancer, Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
A ZangDepartment of Oncological Surgery, Affiliated Hospital of Hebei University, Baoding, China.
Affiliated Hospital of Hebei University · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) function as either oncogenes or tumor suppressors by inhibiting the expression of target genes, some of which are either directly or indirectly involved with canonical signaling pathways. The relationship between miRNAs and signaling pathways in gastric cancer is extremely complicated. In this paper, we determined the pathogenic mechanism of gastric cancer related to miRNA expression based on recent high-quality studies and then clarified the regulation network of miRNA expression and the correlated functions of these miRNAs during the progression of gastric cancer. We try to illustrate the correlation between the expression of miRNAs and outcomes of patients with gastric cancer. Understanding this will allow us to take a big step forward in the treatment of gastric cancer.

Indexed as

Gene Expression Regulation, NeoplasticSignal TransductionAnimalsHumansMicroRNAsStomach NeoplasmsMicroRNAs

Identifiers

PMID25060632
OpenAlexW2024381669

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.