Evidence map›Paper›PMID 28849077›Full record

ArticleMolecular medicine reports2017

MicroRNA‑643 regulates the expression of ZEB1 and inhibits tumorigenesis in osteosarcoma.

Huan Wang, Danmou Xing, Dong Ren, Wei Feng, Yan Chen, Zhiming Zhao, Zhihong Xiao, Zhengren Peng

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Molecular medicine reports, 2017. 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 It has been retracted, and should not be counted.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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Osteosarcoma and Metastasis.Frontiers in oncology · 2021
    Review
  6. Article
  7. Review
  8. miRNA signatures in childhood sarcomas and their clinical implications.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2019
    Review
  9. Article
  10. Article
  11. Frontiers in cellular and infection microbiology · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Huan WangDepartment of Hand Surgery One, The Puai Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Danmou XingDepartment of Hand Surgery One, The Puai Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Dong RenDepartment of Hand Surgery One, The Puai Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Wei FengDepartment of Hand Surgery One, The Puai Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Yan ChenDepartment of Hand Surgery One, The Puai Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Zhiming ZhaoDepartment of Hand Surgery One, The Puai Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Zhihong XiaoDepartment of Hand Surgery One, The Puai Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Zhengren PengDepartment of Hand Surgery One, The Puai Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Huazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma is among the most malignant types of tumor worldwide and has become a leading contributor to tumor incidence, particularly in adolescents. Resistance to conventional treatment and the complexity of osteosarcoma tumorigenesis has resulted in high mortality rates. MicroRNAs are a class of noncoding RNAs, which regulate numerous biological processes. However, the involvement of miR‑643 in osteosarcoma remains to be elucidated. In the present study, reverse transcription‑quantitative polymerase chain reaction, luciferase reporter assay, invasion assay, viability assay, western blot analysis and in vivo implantation were performed to analyze the action of miR‑643 in osteosarcoma. The results demonstrated that miR‑643 inhibited the progression of osteosarcoma and acted as a potential tumor suppressor. The expression of miR‑643 was downregulated in osteosarcoma tissues and cell lines. In addition, miR‑643 transfection significantly impaired the proliferation and invasion of osteosarcoma cells. The present study also identified Zinc finger E‑box‑binding homeobox 1 (ZEB1) as a direct target of miR‑643, and the ectopic expression of ZEB1 counteracted the effect of miR‑643 transfection. A significant inverse correlation was also found between the expression of miR‑643 and ZEB1. A low expression of miR‑643 or a high expression of ZEB1 was associated with poor patient survival rates. The results of the present study suggested that the decreased expression of miR‑643 may be involved in the mechanism underlying the development of osteosarcoma. The intricate interactions between miR‑643 and ZEB1 may serve as a potential therapeutic target in osteosarcoma oncogenesis.

Indexed as

Gene Expression Regulation, NeoplasticRNA InterferenceAdultAgedApoptosisBone NeoplasmsCell Line, TumorCell MovementCell ProliferationCell Transformation, NeoplasticFemaleHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedMicroRNAsMIRN643 microRNA, humanRNA, MessengerZinc Finger E-box-Binding Homeobox 1

Identifiers

PMID28849077
PMCPMC5647050
OpenAlexW2746952557

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.