Evidence map›Paper›PMID 26668153›Full record

ReviewChinese medical journal2015

Research Progress of MicroRNA in Early Detection of Ovarian Cancer.

Ze-Hua Wang, Cong-Jian Xu

Open access · goldAbstract readReview
In one paragraph

Review in Chinese medical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Plant-derived xenomiRs and cancer: Cross-kingdom gene regulation.Saudi journal of biological sciences · 2021
    Review
  7. Review
  8. Wilms' tumor 1 (Cell cycle (Georgetown, Tex.) · 2020
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Is Ovarian Cancer Prevention Currently Still a recommendation of Our Grandparents?Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2017
    Review
  15. 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

2 authors at 1 institution in 1 country.

Ze-Hua Wang
Cong-Jian XuShanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai 200011, China.
Obstetrics and Gynecology Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis review aimed to update the progress of microRNA (miRNA) in early detection of ovarian cancer. We discussed the current clinical diagnosis methods and biomarkers of ovarian cancer, especially the methods of miRNA in early detection of ovarian cancer. DATA SOURCES: We collected all relevant studies about miRNA and ovarian cancer in PubMed and CNKI from 1995 to 2015. STUDY SELECTION: We included all relevant studies concerning miRNA in early detection of ovarian cancer, and excluded the duplicated articles.

resultsmiRNAs play a key role in various biological processes of ovarian cancer, such as development, proliferation, differentiation, apoptosis and metastasis, and these phenomena appear in the early-stage. Therefore, miRNA can be used as a new biomarker for early diagnosis of ovarian cancer, intervention on miRNA expression of known target genes, and potential target genes can achieve the effect of early prevention. With the development of nanoscience and technology, analysis methods of miRNA are also quickly developed, which may provide better characterization of early detection of ovarian cancer.

conclusionsIn the near future, miRNA therapy could be a powerful tool for ovarian cancer prevention and treatment, and combining with the new analysis technology and new nanomaterials, point-of-care tests for miRNA with high throughput, high sensitivity, and strong specificity are developed to achieve the application of diagnostic kits in screening of early ovarian cancer.

Indexed as

Early Detection of CancerFemaleGene Expression Regulation, NeoplasticHumansMicroRNAsOvarian NeoplasmsMicroRNAs

Identifiers

PMID26668153
PMCPMC4797514
OpenAlexW2191407368

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.