Evidence map›Paper›PMID 28231299›Full record

ArticlePloS one2017

Exploration of inhibitory mechanisms of curcumin in lung cancer metastasis using a miRNA- transcription factor-target gene network.

De-Min Jiao, Li Yan, Li-Shan Wang, Hui-Zhen Hu, Xia-Li Tang, Jun Chen, Jian Wang, You Li, Qing-Yong Chen

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. miR-335-5p Inhibits Progression of Uterine Leiomyoma by Targeting ARGLU1.Computational and mathematical methods in medicine · 2022
    Article
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  8. Article
  9. Article
  10. Article
  11. Radiation-Induced Lung Injury (RILI).Frontiers in oncology · 2019
    Review
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

De-Min JiaoDepartment of Respiratory Disease, The 117th Hospital of PLA, Hangzhou, Zhejiang, P.R. China.
Li YanDepartment of Oncology, The 117th Hospital of PLA, Hangzhou, Zhejiang, P.R. China.
Li-Shan WangBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, P.R. China.
Hui-Zhen HuDepartment of Respiratory Disease, The 117th Hospital of PLA, Hangzhou, Zhejiang, P.R. China.
Xia-Li TangDepartment of Respiratory Disease, The 117th Hospital of PLA, Hangzhou, Zhejiang, P.R. China.
Jun ChenDepartment of Respiratory Disease, The 117th Hospital of PLA, Hangzhou, Zhejiang, P.R. China.
Jian WangDepartment of Respiratory Disease, The 117th Hospital of PLA, Hangzhou, Zhejiang, P.R. China.
You LiDepartment of Respiratory Disease, The 117th Hospital of PLA, Hangzhou, Zhejiang, P.R. China.
Qing-Yong ChenDepartment of Respiratory Disease, The 117th Hospital of PLA, Hangzhou, Zhejiang, P.R. China.
117th Hospital of People's Liberation Army · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was aimed to unravel the inhibitory mechanisms of curcumin for lung cancer metastasis via constructing a miRNA-transcription factor (TF)-target gene network. Differentially expressed miRNAs between human high-metastatic non-small cell lung cancer 95D cells treated with and without curcumin were identified using a TaqMan human miRNA array followed by real-time PCR, out of which, the top 6 miRNAs (miR-302b-3p, miR-335-5p, miR-338-3p, miR-34c-5p, miR-29c-3p and miR-34a-35p) with more verified target genes and TFs than other miRNAs as confirmed by a literature review were selected for further analysis. The miRecords database was utilized to predict the target genes of these 6 miRNAs, TFs of which were identified based on the TRANSFAC database. The findings of the above procedure were used to construct a miRNA-TF-target gene network, among which miR-34a-5p, miR-34c-5p and miR-302b-3p seemed to regulate CCND1, WNT1 and MYC to be involved in Wnt signaling pathway through the LEF1 transcription factor. Therefore, we suggest miR-34a-5p/miR-34c-5p/miR-302b-3p -LEF1-CCND1/WNT1/MYC axis may be a crucial mechanism in inhibition of lung cancer metastasis by curcumin.

Indexed as

Antineoplastic AgentsCarcinoma, Non-Small-Cell LungCell MovementCurcuminGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansLungLung NeoplasmsMicroRNAsNeoplasm InvasivenessAntineoplastic AgentsCurcuminMicroRNAs

Identifiers

PMID28231299
PMCPMC5322911
OpenAlexW2591021520

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.