Evidence map›Paper›PMID 29048674›Full record

ArticleOncology reports2017

MicroRNA-345 inhibits metastasis and epithelial-mesenchymal transition of gastric cancer by targeting FOXQ1.

Aiwen Feng, Xiaoming Yuan, Xiangwei Li

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2017. 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
0.7field-weighted citation impact, top 33% 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, 24 citations in OpenAlex.

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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 1 institution in 1 country.

Aiwen FengDepartment of Enterochirurgia, Huaian First People's Hospital, Huaian, Jiangsu 223300, P.R. China.
Xiaoming YuanDepartment of Enterochirurgia, Huaian First People's Hospital, Huaian, Jiangsu 223300, P.R. China.
Xiangwei LiDepartment of Gastroenterological Surgery, Huaian First People's Hospital, Huaian, Jiangsu 223300, P.R. China.
Huaian First People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a group of critical players in gastric cancer (GC). Among numerous cancer-related miRNAs, the expression level and functional role of miR-345 in GC has not been investigated. This study showed that miR-345 expression was decreased in GC. Decreased expression level of miR-345 was associated with occurrence of lymph metastasis and advanced TNM stage of GC patients. Patients with low expression level of miR-345 had reduced overall survival (OS) and disease-free survival (DFS). In vitro experiments showed that miR-345 could inhibit the migration and invasion of GC cells. In vivo experiments showed that miR-345 knockdown could promote lung metastasis of GC cells in nude mice. miR-345 was found to prevent the metastasis by inhibiting epithelial-mesenchymal transition (EMT) of GC cells. Furthermore, FOXQ1 was confirmed to be the downstream target of miR-345 in GC cells. Forced expression of FOXQ1 could reverse the inhibitory effects of miR-345 on GC metastasis, while knockdown of FOXQ1 prevented the promoting effects of miR-345 knockdown on GC metastasis. In summary, this study demonstrates miR-345 is a promising biomarker and therapeutic target in GC.

Indexed as

Epithelial-Mesenchymal TransitionAdultAgedAnimalsCell Line, TumorCell MovementDown-RegulationFemaleForkhead Transcription FactorsGene Expression Regulation, NeoplasticHumansMaleMiceMicroRNAsMiddle AgedNeoplasm MetastasisForkhead Transcription FactorsFOXQ1 protein, humanMicroRNAsMIRN345 microRNA, human

Identifiers

PMID29048674
PMCPMC5780028
OpenAlexW2757641193

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.