Evidence map›Paper›PMID 35486636›Full record

SynthesisPloS one2022

The clinical value of miRNA-21 in cervical cancer: A comprehensive investigation based on microarray datasets.

Zhi-Min Deng, Gan-Hong Chen, Fang-Fang Dai, Shi-Yi Liu, Dong-Yong Yang, An-Yu Bao, Yan-Xiang Cheng

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
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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

7 authors at 2 institutions in 1 country.

Zhi-Min DengDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.ORCID 0000-0003-4760-4293
Gan-Hong ChenDepartment of Pathology, The People's Hospital of Honghu, Honghu, Hubei, China.
Fang-Fang DaiDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Shi-Yi LiuDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Dong-Yong YangDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
An-Yu BaoDepartment of Clinical laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Yan-Xiang ChengDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Wuhan University · CNHonghu People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous work has demonstrated that the expression of microRNA-21 (miR-21) is implicated in cervical cancer (CC). However, little is known regarding its associations with clinical parameters. We first conducted a meta-analysis using data from Gene Expression Omnibus (GEO) microarrays and The Cancer Genome Atlas (TCGA). Then, enrichment analysis and hub gene screening were performed by bioinformatic methods. Finally, the role of the screened target genes in CC was explored. According to the meta-analysis, the expression of miR-21 in cancer tissues was higher than in adjacent nontumor tissues (P < 0.05). In addition, 46 genes were predicted as potential targets of miR-21. After enrichment analyses, it was detected that these genes were enriched in various cancer pathways, including the phosphatidylinositol signaling system and mammalian target of rapamycin (mTOR) signaling pathway. In this study, bioinformatic tools and meta-analysis validated that miR-21 may function as a highly sensitive and specific marker for the diagnosis of CC, which may provide a novel approach to the diagnosis and treatment of CC.

Indexed as

MicroRNAsUterine Cervical NeoplasmsComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicroRNAsMIRN21 microRNA, human

Identifiers

PMID35486636
PMCPMC9053781
OpenAlexW4226164826

What OpenQuestion holds

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LicenceCC BY
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.