Evidence map›Paper›PMID 33083453›Full record

ArticleBioMed research international2020

miR-876 Inhibits EMT and Liver Fibrosis via POSTN to Suppress Metastasis in Hepatocellular Carcinoma.

Kai Chen, Zhonghu Li, Mengyun Zhang, Bo Wang, Tao Peng, Yanbing Shen, Jianxin Zhang, Jiaxin Ye, Yu Liu, Di Tang and 6 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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  6. Identifying Fibrogenic Cells Following Salivary Gland Obstructive Injury.bioRxiv : the preprint server for biology · 2023
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  7. Identifying fibrogenic cells following salivary gland obstructive injury.Frontiers in cell and developmental biology · 2023
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  12. Inhibition ofFrontiers in cell and developmental biology · 2021
    Article
  13. Review
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 2 countries.

Kai Chen *Hepatobiliary Surgery Institute, Southwest Hospital, Army Medical University, China.
Zhonghu Li *Department General Surgery, Central Theater Command General Hospital of PLA, China.
Mengyun Zhang *Department Rheumatology of Integrated Traditional Chinese and Western Medicine, Central Theater Command General Hospital of PLA, China.
Bo Wang *Department General Surgery, Central Theater Command General Hospital of PLA, China.
Tao PengDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Yangtze University, Jingzhou, China.
Yanbing ShenDepartment General Surgery, Central Theater Command General Hospital of PLA, China.
Jianxin ZhangDepartment General Surgery, Central Theater Command General Hospital of PLA, China.
Jiaxin YeDepartment General Surgery, Central Theater Command General Hospital of PLA, China.
Yu LiuDepartment Hepatobiliary Surgery Institute, Chengdu Fifth People's Hospital, China.
Di TangDepartment General Surgery, Central Theater Command General Hospital of PLA, China.
Minjie PengHepatobiliary Surgery & Carson International Cancer Shenzhen University General Hospital & Shenzhen University Clinical Medical Academy Center, Shenzhen University, China.
Dandan MaDepartment General Surgery, Central Theater Command General Hospital of PLA, China.
Zhengkang XiaoDepartment General Surgery, Central Theater Command General Hospital of PLA, China.
Yujun ZhangHepatobiliary Surgery Institute, Southwest Hospital, Army Medical University, China.
Weidong JinDepartment General Surgery, Central Theater Command General Hospital of PLA, China.
Xiaowu LiHepatobiliary Surgery Institute, Southwest Hospital, Army Medical University, China.ORCID https://orcid.org/0000-0002-8221-7064
Chinese General Hospital College of Nursing and Liberal Arts · PHArmy Medical University · CNChengdu Fifth People's Hospital · CNShenzhen University · CNYangtze University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe asymptomatic onset, frequent recurrence, and poor prognosis of hepatocellular carcinoma (HCC) prompted us to identify new therapeutic targets or predictive markers of HCC diagnosis or prognosis.

methodsIn this study, bioinformatics analysis was used to screen for target miRNAs from the open-access TCGA database. Transwell assays, Western blotting, and qRT-PCR analyses were used to detect cellular functions and gene expression in HCC cells and samples. A nude mouse tumorigenesis model was established to facilitate the observation of HCC progression. Other assays included luciferase reporter assays, IHC, and survival analysis.

resultsWe found that the identified miR-876 from TCGA was expressed at low levels in HCC cell lines and that low miR-876 expression was corrected with liver cirrhosis, tumor thrombus, and TNM stage. Further research revealed that miR-876 regulated cell invasion, EMT, and collagen expression by targeting POSTN expression. miR-876 and POSTN were inversely correlated in HCC samples and associated with EMT status and liver fibrosis in clinical HCC tissues. miR-876 inhibited the liver cancer progression in

conclusionsmiR-876 inhibited HCC EMT and fibrosis by targeting POSTN, thus affecting HCC progression and prognosis. miR-876 and POSTN may be useful therapeutic targets or prognostic markers of HCC.

Indexed as

AnimalsCarcinogenesisCarcinoma, HepatocellularCell Adhesion MoleculesCell LineCell Line, TumorCell MovementCell ProliferationDisease ProgressionDown-RegulationEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHEK293 CellsHep G2 CellsHumansCell Adhesion MoleculesMicroRNAsMIRN876 microRNA, humanPOSTN protein, human

Identifiers

PMID33083453
PMCPMC7559219
OpenAlexW3092356282

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Registered trials

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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.