Evidence map›Paper›PMID 31938208›Full record

ArticleInternational journal of clinical and experimental pathology2018

miR-34a inhibits tumorigenesis of NSCLC via targeting SIRT6.

Libo Ruan, Jun Chen, Litao Ruan, Anjun Tan, Ping Wang

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 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
0.3field-weighted citation impact, top 45% 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

15 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  8. Annals of translational medicine · 2022
    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 3 institutions in 1 country.

Libo RuanFaculty of Environmental Science and Engineering, Kunming University of Science and Technology Yunnan, China.
Jun ChenThe First People's Hospital of Yunnan Province Kunming, Yunnan, China.
Litao RuanInstitute of Medical Biology, Chinese Academy of Medical Sciences Kunming, China.
Anjun TanThe First People's Hospital of Yunnan Province Kunming, Yunnan, China.
Ping WangFaculty of Environmental Science and Engineering, Kunming University of Science and Technology Yunnan, China.
First People's Hospital of Yunnan Province · CNKunming University of Science and Technology · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) remains the leading cause of deaths around the world. Therefore, improving the diagnostic and treatments of NSCLC are urgently needed. The microRNA-34a (miR-34a) and SIRT6 are associated with NSCLC. miR-34a is downregulated in three NSCLC cells lines (A549, H460, and H1299). The functions of SIRT6 in NSCLC are controversial. Some reports have shown that SIRT6 is downregulated in NSCLC cells, while other reports have shown that SIRT6 is upregulated in NSCLC tissues as well as SIRT6 overexpression is associated with the poor prognosis of NSCLC. SIRT6 is a direct target of miR-34a in human keratinocytes (HKCs). However, the relationship between SIRT6 and miR-34a in NSCLC has not been investigated. In this study, we found that the SIRT6 was upregulated in NSCLC tissues while miR-34a was downregulated in NSCLC tissues compared with those in their normal counterparts. Overexpression of miR34a or downregulation of SIRT6 promoted A549 cells apoptosis, cell cycle arrest

Indexed as

microRNA-34a (miR-34a)Non-small cell lung cancer (NSCLC)SIRT6

Identifiers

PMID31938208
PMCPMC6958161
OpenAlexW3027994601

What OpenQuestion holds

Textmetadata
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.