Evidence map›Paper›PMID 28904856›Full record

ArticleFEBS open bio2017

MiR-101 inhibits ovarian carcinogenesis by repressing the expression of brain-derived neurotrophic factor.

Ying Xu, Lei Xu, Jianbin Zheng, Lei Geng, Shuping Zhao

Abstract read
In one paragraph

Article in FEBS open bio, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. BDNF and its signaling in cancer.Journal of cancer research and clinical oncology · 2023
    Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Observational
  10. Review
  11. Review
  12. Article
  13. Circulating non-coding RNAs in recurrent and metastatic ovarian cancer.Cancer drug resistance (Alhambra, Calif.) · 2019
    Review
  14. Article
  15. Review
  16. Diagnostic and prognostic implications of serum miR-101 in osteosarcoma.Cancer biomarkers : section A of Disease markers · 2018
    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

5 authors.

Ying XuDepartment of Gynecology Qingdao Women's and Children's Hospital Qingdao University China.
Lei XuDepartment of Gynaecology Zibo Maternity and Child Health Hospital China.
Jianbin ZhengDepartment of Gynaecology Zibo Maternity and Child Health Hospital China.
Lei GengDepartment of Gynaecology Zibo Maternity and Child Health Hospital China.
Shuping ZhaoDepartment of Gynecology Qingdao Women's and Children's Hospital Qingdao University China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is one of the most lethal malignant gynecological tumors as a result of difficulties in early-stage detection and a lack of effective treatments for patients with advanced or recurrent cancer. In the present study, we aimed to explore whether some of the microRNA (miRNA) content of serum might be related to ovarian cancer, as well as the role of these miRNAs and their intercellular transport via exosomes in ovarian cancer. We first detected the expression of six candidate miRNAs in ovarian cancer tissues and adjacent nontumor ovarian samples from 36 patients and confirmed the altered expression of four miRNAs. The level of these six candidate miRNAs was also examined in exosomes from patient serum samples. Only the level of miR-101 was altered in both ovarian tissue samples and serum exosomes. After prediction using online bioinformatics tools and confirmation by dual-luciferase assay and immunoblotting, we identified that miR-101 can repress the expression of brain-derived neurotrophic factor by targeting its 3'-UTR. Using Transwell assays, we examined the effect of miR-101 on migration and invasion capacity of ovarian cancer cells. The results indicated that the reduction of miR-101 is mostly related to significant enhanced ovarian cancer cell migration. Thus, the results of the present study indicate that miR-101 content in serum exosomes has potential as a marker for diagnosis of ovarian cancer and that miR-101 mimics are potential therapeutic drugs for the treatment of ovarian cancer.

Indexed as

exosomeinvasionmigrationmiR‐101ovarian cancer

Identifiers

PMID28904856
PMCPMC5586337

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.