Evidence map›Paper›PMID 30405796›Full record

ArticleOncology letters2018

miR-34a targets BCL-2 to suppress the migration and invasion of sinonasal squamous cell carcinoma.

Yigang Zhao, Xianzhi Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. 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
3.1field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. BCL-2 and BCL-xL in Cancer: Regulation, Function, and Therapeutic Targeting.International journal of molecular sciences · 2026
    Review
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  16. miRNA-34a suppresses colon carcinoma proliferation and induces cell apoptosis by targeting SYT1.International journal of clinical and experimental pathology · 2019
    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

2 authors at 1 institution in 1 country.

Yigang ZhaoDepartment of Otolaryngology, Linyi People's Hospital, Linyi, Shandong 276000, P.R. China.
Xianzhi WangDepartment of Otolaryngology, Linyi People's Hospital, Linyi, Shandong 276000, P.R. China.
Linyi People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sinonasal squamous cell carcinomas (SN-SCC) are rare tumors with low survival rate. It was reported that miR-34a expression is low in many cancers and acted as a tumor suppressor. But the biological function of miR-34a in SN-SCC has hardly been reported. Therefore, we explored the role and underlying mechanism of miR-34a in the migration and invasion of SN-SCC. Western blot analysis and RT-PCR were carried out to examine B-cell lymphoma-2 (BCL-2) and miR-34a expression in SN-SCC. Transwell assay was performed to test the SN-SCC migratory and invasive ability. Luciferase reporter assay was carried out to verify the target of miR-34a. Results demonstrated that miR-34a expression was lower in SN-SCC tissues and cells than normal SN-SCC. Re-expression of miR-34a inhibited cell migration and invasion, while had the opposite effect on inhibition of miR-34a. We also found that BCL-2 expression was higher in SN-SCC and silencing BCL-2 curbed the development of SN-SCC. BCL-2 was found to be a target of miR-34a and negatively correlated with miR-34a expression. Furthermore, BCL-2 attenuated the miR-34a inhibitory effect on SN-SCC cell migration and invasion. In short, these data demonstrated that miR-34a inhibited SN-SCC cell migration and invasion through targeting BCL-2.

Indexed as

DAB2invasionmigrationmiR-34aSN-SCC

Identifiers

PMID30405796
PMCPMC6202510
OpenAlexW2891199349

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.