Evidence map›Paper›PMID 27725869›Full record

ArticleAmerican journal of translational research2016

MiR-300 suppresses laryngeal squamous cell carcinoma proliferation and metastasis by targeting ROS1.

Wensheng Ge, Chaodong Han, Jing Wang, Yunping Zhang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 24% 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, 15 citations in OpenAlex.

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  4. [MiR-300 inhibits invasion and metastasis of osteosarcoma cell MG63 by negatively regulating PTTG1].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021
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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

4 authors at 1 institution in 1 country.

Wensheng GeDepartment of Otolaryngology, Liaocheng People's Hospital and EENT Hospital Liaocheng 252000, Shandong, China.
Chaodong HanDepartment of Otolaryngology, Liaocheng People's Hospital and EENT Hospital Liaocheng 252000, Shandong, China.
Jing WangDepartment of Otolaryngology, Liaocheng People's Hospital and EENT Hospital Liaocheng 252000, Shandong, China.
Yunping ZhangDepartment of Dermatology, Liaocheng People's Hospital and EENT Hospital Liaocheng 252000, Shandong, China.
Liaocheng People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laryngeal squamous cell carcinoma (LSCC) is a common aggressive head and neck cancer with high mortality and incidence. MicroRNAs (miRNAs) are short, non-coding and endogenous RNAs that posttranscriptionally inhibit gene expression. In this study, we showed that miR-300 expression was downregulated in LSCC tissues compared with adjacent no-tumor tissues. MiR-300 overexpression inhibited Hep-2 cell proliferation, as well as the expression of ki-67 and PCNA. Moreover, overexpression of miR-300 repressed the cell invasion in Hep-2 cells. We identified c-ros oncogene 1 receptor tyrosine kinase (ROS1) as a direct target gene of miR-300 in Hep-2 cell. Furthermore, ROS1 expression was upregulated in LSCC tissues compared with adjacent no-tumor tissues. Interesting, there were an inverse correlation between ROS1 and miR-300 expression in the LSCC tissues. Overexpression of ROS1 increased the Hep-2 cells proliferation and invasion. Overexpression of ROS1 abrogated miR-300 induced cell growth and invasion inhibition. Therefore, our data suggested that miR-300 acted as a tumor suppressive gene in LSCC.

Indexed as

Laryngeal squamous cell carcinomamicroRNAsmiR-300miRNAsROS1

Identifiers

PMID27725869
PMCPMC5040687
OpenAlexW2532146538

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.