Evidence map›Paper›PMID 29113240›Full record

ArticleOncology letters2017

Downregulation of microRNA-301a inhibited proliferation, migration and invasion of non-small cell lung cancer by directly targeting DLC1.

Zhuyu Wu, Yaojun Li, Guojun Zhang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Fixing the GAP: The role of RhoGAPs in cancer.European journal of cell biology · 2022
    Review
  3. Article
  4. Observational
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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

3 authors at 2 institutions in 1 country.

Zhuyu WuDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, P.R. China.
Yaojun LiDepartment of Respiratory Medicine, Luohe Central Hospital, Luohe, Henan 462000, P.R. China.
Guojun ZhangDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, P.R. China.
First Affiliated Hospital of Zhengzhou University · CNLuohe Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence has indicated that the abnormal expression of microRNAs contributes to tumorigenesis and tumor development. Understanding the roles of microRNAs in non-small cell lung cancer (NSCLC) might provide valuable information for therapeutic strategies in the therapy for patients with NSCLC. In the present study, significant upregulation of microRNA (miR)-301a was observed in NSCLC tissues and cell lines compared with normal adjacent tissues and a normal human bronchial epithelial cell line. The inhibition of miR-301a suppressed proliferation, migration and invasion of NSCLC cells. Functional analyses indicated that DLC1 was a direct target of miR-301a in NSCLC. Inhibiting miR-301a expression decreased DLC1 expression at mRNA and protein levels. Moreover, DLC1 knockdown partially reversed the inhibition of proliferation, migration and invasion induced by miR-301a knockdown in NSCLC cells. Therefore, these findings may provide novel insights into the molecular mechanisms of miR-301a in proliferation, migration and invasion of NSCLC cells. The findings also indicated that miR-301a may act as a novel potential therapeutic target for patients with NSCLC.

Indexed as

DLC1invasionlung cancermigrationmiRNA-301aNSCLCproliferation

Identifiers

PMID29113240
PMCPMC5661386
OpenAlexW2754945642

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.