Evidence map›Paper›PMID 29507664›Full record

ArticleOncotarget2018

Let-7c inhibits migration and epithelial-mesenchymal transition in head and neck squamous cell carcinoma by targeting

Bo Hou, Hajime Ishinaga, Kaoru Midorikawa, Satoshi Nakamura, Yusuke Hiraku, Shinji Oikawa, Ning Ma, Kazuhiko Takeuchi, Mariko Murata

Abstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. HMGA Genes and Proteins in Development and Evolution.International journal of molecular sciences · 2020
    Review
  13. OncoTargets and therapy · 2020
    Article
  14. Article
  15. Inflammation and cancer.Environmental health and preventive medicine · 2018
    Review
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

9 authors.

Bo HouDepartment of Otolaryngology-Head and Neck Surgery, Graduate School of Medicine, Mie University, Tsu, Mie 514-8507, Japan.
Hajime IshinagaDepartment of Otolaryngology-Head and Neck Surgery, Graduate School of Medicine, Mie University, Tsu, Mie 514-8507, Japan.
Kaoru MidorikawaDepartment of Environmental and Molecular Medicine, Graduate School of Medicine, Mie University, Tsu, Mie 514-8507, Japan.
Satoshi NakamuraDepartment of Otolaryngology-Head and Neck Surgery, Graduate School of Medicine, Mie University, Tsu, Mie 514-8507, Japan.
Yusuke HirakuDepartment of Environmental and Molecular Medicine, Graduate School of Medicine, Mie University, Tsu, Mie 514-8507, Japan.
Shinji OikawaDepartment of Environmental and Molecular Medicine, Graduate School of Medicine, Mie University, Tsu, Mie 514-8507, Japan.
Ning MaGraduate School of Health Science, Suzuka University of Medical Science, Suzuka, Mie 513-8670, Japan.
Kazuhiko TakeuchiDepartment of Otolaryngology-Head and Neck Surgery, Graduate School of Medicine, Mie University, Tsu, Mie 514-8507, Japan.
Mariko MurataDepartment of Environmental and Molecular Medicine, Graduate School of Medicine, Mie University, Tsu, Mie 514-8507, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To elucidate the molecular mechanisms underlying the progression of head and neck squamous cell carcinoma (HNSCC), we investigated the function of let-7c as a tumor suppressor. Let-7c expression was significantly down-regulated in HNSCC tumor tissues and cell lines.

Indexed as

epithelial–mesenchymal transitionhead and neck squamous cell carcinomaHMGA2IGF1RLet-7c

Identifiers

PMID29507664
PMCPMC5823619

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.