Evidence map›Paper›PMID 30391496›Full record

ArticleEBioMedicine2018

SF3B4 is regulated by microRNA-133b and promotes cell proliferation and metastasis in hepatocellular carcinoma.

Zhiyong Liu, Wei Li, Yanan Pang, Zaixin Zhou, Shupeng Liu, Kai Cheng, Qin Qin, Yin Jia, Shanrong Liu

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
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  7. MRAS: Master Regulator Analysis of Alternative Splicing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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

9 authors at 1 institution in 1 country.

Zhiyong LiuDepartment of Laboratory Diagnostics, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Wei LiDepartment of General Surgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.
Yanan PangDepartment of Laboratory Diagnostics, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Zaixin ZhouDepartment of Laboratory Diagnostics, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Shupeng LiuClinical Trial Center, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Kai ChengClinical Trial Center, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Qin QinDepartment of Laboratory Diagnostics, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Yin JiaDepartment of Laboratory Diagnostics, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Shanrong LiuDepartment of Laboratory Diagnostics, Changhai Hospital, Second Military Medical University, Shanghai 200433, China. Electronic address: liushanrong@hotmail.com.
Second Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSplicing factor 3b subunit 4 (SF3B4) is a splicing factor and potential oncogene in hepatocellular carcinoma (HCC); however, its regulatory mechanism is yet unclear. We aimed to determine the role of SF3B4 in HCC and the underlying mechanism.

methodsTo investigate the association between alternative splicing events and miRNAs, putative miRNAs were screened using TargetScan. Expression levels of and prognostic information for SF3B4 and miRNAs were determined based on public genomic data and clinical samples. Then, we examined the possible roles of SF3B4 and miRNA-133b in HCC cells and a xenograft mouse model. Pearson correlation analysis and in vitro experiments verified SF3B4 as a miRNA-133b target. Protein levels of key targets from the SF3B4 signaling pathway were estimated using western blotting.

findingsThe expression of SF3B4 was upregulated in HCC tissues and cell lines whereas, the expression of miRNA-133b was downregulated. MiRNA-133b negatively regulated the expression of SF3B4. Effects of SF3B4 overexpression were partially abolished by miRNA-133b mimics, confirming that SF3B4 is a target of miRNA-133b. Moreover, molecules associated with SF3B4, including KLF4, KIP1, and SNAI2, were also modulated by miRNA-133b.

interpretationSF3B4 plays a crucial role in HCC and is negatively regulated by miRNA-133b. The miRNA-133b/ SF3B4 axis may serve as a new therapeutic target for HCC treatment. FUND: China National Funds for Distinguished Young Scientists (No.81425019), the State Key Program of National Natural Science Foundation of China (No.81730076), Shanghai Science and Technology Committee Program (No.18XD1405300) and Specially-Appointed Professor Fund of Shanghai (GZ2015009). China National Funds for National Natural Science Fund (No.81672899).

Indexed as

Gene Expression Regulation, NeoplasticRNA InterferenceApoptosisBiomarkers, TumorCarcinoma, HepatocellularCell Line, TumorCell MovementCell ProliferationGene DeletionHumansKruppel-Like Factor 4Liver NeoplasmsMicroRNAsModels, BiologicalNeoplasm MetastasisNeoplasm StagingBiomarkers, TumorKLF4 protein, humanKlf4 protein, mouseKruppel-Like Factor 4MicroRNAsMIRN133 microRNA, humanRNA Splicing FactorsSF3B4 protein, humanCell proliferationHCCMetastasismiRNA-133bSF3B4

Identifiers

PMID30391496
PMCPMC6306498
OpenAlexW2898761942

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.