Evidence map›Paper›PMID 26695144›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

miR-494 suppresses tumor growth of epithelial ovarian carcinoma by targeting IGF1R.

Na Li, Xiaosu Zhao, Lufei Wang, Shi Zhang, Manhua Cui, Jin He

RetractedAbstract readRetracted Publication
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. MicroRNA delivery through nanoparticles.Journal of controlled release : official journal of the Controlled Release Society · 2019
    Review
  8. Article
  9. Article
  10. Article
  11. Small Molecules in Rare Tumors: Emerging Role of MicroRNAs in GIST.International journal of molecular sciences · 2018
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. MiR-494 Inhibits Epithelial Ovarian Cancer Growth by Targeting c-Myc.Medical science monitor : international medical journal of experimental and clinical research · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Na LiDepartment of Obstetrics and Gynecology, The First Hospital of Jilin University, Changchun, 130021, Jilin Province, People's Republic of China.
Xiaosu ZhaoDepartment of Obstetrics and Gynecology, The First Hospital of Jilin University, Changchun, 130021, Jilin Province, People's Republic of China.
Lufei WangDepartment of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, 130041, Jilin Province, People's Republic of China.
Shi ZhangDepartment of Obstetrics and Gynecology, The First Hospital of Jilin University, Changchun, 130021, Jilin Province, People's Republic of China.
Manhua CuiDepartment of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, 130041, Jilin Province, People's Republic of China. cuimanhua1326@163.com.
Jin HeDepartment of Obstetrics and Gynecology, The First Hospital of Jilin University, Changchun, 130021, Jilin Province, People's Republic of China. hejin506b@sohu.com.
Jilin University · CNSecond Affiliated Hospital of Jilin University · CNFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing body of evidence suggests that microRNA-494 (miR-494) could act as tumor-suppressive or oncogenic microRNAs (miRNAs) in different types of tumors. However, the biological roles and underlying mechanisms of miR-494 remain unknown in human epithelial ovarian carcinoma (EOC). Therefore, the aims of this study were to investigate the miR-494 expression and the significance of its clinical diagnosis in patients suffering EOC and to analyze its role and underlying molecular mechanism on the carcinogenesis of EOC. Here, we found that miR-494 was significantly decreased in EOC cell lines and tissues and its expression was negatively correlated with advanced International Federation of Gynecology and Obstetrics (FIGO) stage, high pathological grade, and lymph node metastasis (all P < 0.01). Functional studies showed that overexpression of miR-494 in EOC cells could remarkably inhibit proliferation, colony formation, migration, and invasion and induce cell apoptosis, G0/G1 phase arrest. An in vivo analysis revealed that the overexpression of miR-494 suppressed tumor growth in a nude mouse xenograft model system. Bioinformatic assay and dual-luciferase assay confirmed that insulin-like growth factor 1 receptor (IGF1R) was as a direct target of miR-494 in EOC cells. Western blot assay showed that overexpression of miR-494 inhibited IGF1R expression and its downstream signal protein expression. In addition, downregulation of IGF1R has similar effects with miR-494 overexpression on EOC cells and overexpression of IGF1R effectively rescued the inhibition of overexpressed miR-494 in EOC cells. These data suggested that miR-494 functions as a tumor suppressor in EOC by targeting IGF1R.

Indexed as

3' Untranslated RegionsAnimalsApoptosisCarcinomaCell DivisionCell LineCell MovementEpithelial CellsFemaleG1 Phase Cell Cycle CheckpointsGene Expression Regulation, NeoplasticHeterograftsHumansMiceMice, Inbred BALB CMice, Nude3' Untranslated RegionsIGF1R protein, humanMicroRNAsMIRN494 microRNA, humanNeoplasm ProteinsReceptor, IGF Type 1Receptors, SomatomedinRNA, NeoplasmEpithelial ovarian carcinomaIGF1RMicroRNAsmiR-494

Identifiers

PMID26695144
OpenAlexW2214877925

What OpenQuestion holds

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Registered trials

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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.