Evidence map›Paper›PMID 27229534›Full record

ArticleOncotarget2016

MicroRNA-320a inhibits breast cancer metastasis by targeting metadherin.

Juan Yu, Ji-Gang Wang, Lei Zhang, Hai-Ping Yang, Lei Wang, Di Ding, Qi Chen, Wen-Lin Yang, Ke-Han Ren, Dan-Mei Zhou and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. MicroRNAs as therapeutic targets in breast cancer metastasis.Drug delivery and translational research · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors at 5 institutions in 1 country.

Juan YuDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Ji-Gang WangDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Lei ZhangDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Hai-Ping YangDepartment of Pathology, People's Hospital, Linzi District, Zibo 255400, China.
Lei WangDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Di DingDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Qi ChenDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Wen-Lin YangDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Ke-Han RenDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Dan-Mei ZhouDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Qiang ZouDepartment of Breast Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Yi-Ting JinDepartment of Breast Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Xiu-Ping LiuDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Shanghai Medical College of Fudan University · CNAffiliated Hospital of Qingdao University · CNFudan University · CNHuashan Hospital · CNLinzi District People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysregulated microRNAs play important pathological roles in carcinogenesis that are yet to be fully elucidated. This study was performed to investigate the biological functions of microRNA-320a (miR-320a) in breast cancer and the underlying mechanisms. Function analyses for cell proliferation, cell cycle, and cell invasion/migration, were conducted after miR-320a silencing and overexpression. The specific target genes of miR-320a were predicted by TargetScan algorithm and then determined by dual luciferase reporter assay and rescue experiment. The relationship between miR-320a and its target genes was explored in human breast cancer tissues. We found that miR-320a overexpression could inhibit breast cancer invasion and migration abilities in vitro, while miR-320a silencing could enhance that. In addition, miR-320a could suppress activity of 3'-untranslated region luciferase of metadherin (MTDH), a potent oncogene. The rescue experiment revealed that MTDH was a functional target of miR-320a. Moreover, we found that MTDH was negatively correlated with miR-320a expression, and it was related to clinical outcomes of breast cancer. Further xenograft experiment also showed that miR-320a could inhibit breast cancer metastasis in vivo. Our findings clearly demonstrate that miR-320a suppresses breast cancer metastasis by directly inhibiting MTDH expression. The present study provides a new insight into anti-oncogenic roles of miR-320a and suggests that miR-320a/MTDH pathway is a putative therapeutic target in breast cancer.

Indexed as

AnimalsBreast NeoplasmsCell Adhesion MoleculesCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHeterograftsHumansMembrane ProteinsMiceMicroRNAsMiddle AgedNeoplasm MetastasisRNA-Binding ProteinsTransfectionCell Adhesion MoleculesMembrane ProteinsMicroRNAsMIRN320 microRNA, humanMTDH protein, humanRNA-Binding Proteinsbreast cancermetastasismiR-320aMTDH

Identifiers

PMID27229534
PMCPMC5122415
OpenAlexW2401957487

What OpenQuestion holds

Textmetadata
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.