Evidence map›Paper›PMID 23940556›Full record

ArticlePloS one2013

MiR-124 suppresses growth of human colorectal cancer by inhibiting STAT3.

Jufeng Zhang, Yanxin Lu, Xupeng Yue, Huiming Li, Xia Luo, Ying Wang, Kepeng Wang, Jun Wan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

73 citing papers in PubMed, 123 citations in OpenAlex.

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13 more citing papers are in PubMed but not listed here.

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

8 authors at 5 institutions in 2 countries.

Jufeng ZhangSchool of Life Science, Guangdong Pharmaceutical University, Guangzhou, China. jfzhang111@163.com
Yanxin Lu
Xupeng Yue
Huiming Li
Xia Luo
Ying Wang
Kepeng Wang
Jun Wan
HKUST Shenzhen Research Institute · CNGuangdong Pharmaceutical University · CNHong Kong University of Science and Technology · HKShanghai First People's Hospital · CNSouth China Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging evidence indicate that microRNAs (miRNAs) may play important roles in cancer. Aberrant expression of miRNAs has been frequently identified in different human malignancies, including colorectal cancer (CRC). However, the mechanism by which deregulated miRNAs impact the development of CRC remains largely elusive. In this study, we show that miR-124 is significantly down-regulated in CRC compared to adjacent non-tumor colorectal tissues. MiR-124 suppresses the expression of STAT3 by directly binding to its 3'-untranslated region (3'-UTR). Overexpression of miR-124 led to increased apoptosis of CRC cells and reduced tumor growth in vitro and in vivo. Knocking down STAT3 expression by specific siRNA suppressed the growth of CRC cells in vitro and in vivo, resembling that of miR-124 overexpression. Moreover, overexpression of STAT3 in miR-124-transfected CRC cells effectively rescued the inhibition of cell proliferation caused by miR-124. These data suggest that miR-124 serves as a tumor suppressor by targeting STAT3, and call for the use of miR-124 as a potential therapeutic tool for CRC, where STAT3 is often hyper-activated.

Indexed as

AnimalsBlotting, WesternCell Line, TumorCell ProliferationColorectal NeoplasmsFemaleHumansImmunohistochemistryIn Situ Nick-End LabelingMiceMice, Inbred BALB CMice, NudeMicroRNAsReverse Transcriptase Polymerase Chain ReactionSTAT3 Transcription FactorMicroRNAsMIRN124 microRNA, humanSTAT3 Transcription Factor

Identifiers

PMID23940556
PMCPMC3734178
OpenAlexW2033864728

What OpenQuestion holds

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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.