Evidence map›Paper›PMID 33224312›Full record

ArticleDisease markers2020

miR-106a-5p Functions as a Tumor Suppressor by Targeting VEGFA in Renal Cell Carcinoma.

Jun Ma, Wenguang Wang, Baihetiya Azhati, Yujie Wang, Hamulati Tusong

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
  6. Regulation of autophagy by non-coding RNAs in human glioblastoma.Medical oncology (Northwood, London, England) · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Overview of miR-106a Regulatory Roles: from Cancer to Aging.Bioengineering (Basel, Switzerland) · 2023
    Review
  11. Article
  12. Iranian journal of biotechnology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
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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 at 1 institution in 1 country.

Jun MaDepartment of Urology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.ORCID https://orcid.org/0000-0002-1681-0089
Wenguang WangDepartment of Urology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Baihetiya AzhatiDepartment of Urology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Yujie WangDepartment of Urology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.ORCID https://orcid.org/0000-0001-9292-2229
Hamulati TusongDepartment of Urology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.ORCID https://orcid.org/0000-0002-9535-0243
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) regulate progression of different cancers. Nevertheless, there is limited information regarding the role of miR-106a-5p in renal cell carcinoma (RCC). Herein, we demonstrate that miR-106a-5p levels are drastically decreased in clear cell RCC (ccRCC) tissues and cell lines, which subsequently contribute to a poor patient overall survival and a high tumor stage. By screening and analyzing, we found that miR-106a-5p directly targets the 3'-UTR of the VEGFA mRNA and led to a decrease in VEGFA. This process is important for tumor cells' growth and colony formation, and overexpression of miR-106a-5p can especially kill kidney tumor cells. Therefore, our data reveal that miR-106a-5p functions as a tumor suppressor by regulating VEGFA and ccRCC may be susceptible to miR-106a-5p therapy.

Indexed as

Genes, Tumor Suppressor3' Untranslated RegionsAgedBiomarkers, TumorCarcinoma, Renal CellCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateKidney NeoplasmsMaleMicroRNAsMiddle AgedVascular Endothelial Growth Factor A3' Untranslated RegionsBiomarkers, TumorMicroRNAsMIRN106 microRNA, humanVascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID33224312
PMCPMC7669356
OpenAlexW3103083395

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.