Evidence map›Paper›PMID 32176631›Full record

ArticleCancer biomarkers : section A of Disease markers2020

miR-654-3p predicts the prognosis of hepatocellular carcinoma and inhibits the proliferation, migration, and invasion of cancer cells.

Junsheng Yang, Zhen Zhang, Shaoping Chen, Wenwen Dou, Ruizhu Xie, Jie Gao

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 30 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

6 authors at 4 institutions in 1 country.

Junsheng YangDepartment of Oncology, Zaozhuang Municipal Hospital, Zaozhuang, Shangdong, China.
Zhen ZhangDepartment of Logistics, Yidu Central Hospital of Weifang, Weifang, Shandong, China.
Shaoping ChenDepartment of Oncology, Dongying People's Hospital, Dongying, Shandong, China.
Wenwen DouDepartment of Infectious Diseases, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China.
Ruizhu XieDepartment of Infectious Diseases, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China.
Jie GaoDepartment of Gastroenterology, Dongying People's Hospital, Dongying, Shandong, China.
Weifang Medical University · CNWenzhou Medical University · CNYidu Central Hospital of Weifang · CNZaozhuang Municipal Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing evidence reveals that aberrant microRNAs (miRNAs) expression play a crucial role in the tumorigenesis of cancers, including hepatocellular carcinoma (HCC), whereas the role of miR-654-3p in HCC remains unclear. This study aimed to investigate the role of miR-654-3p in HCC.

methodsReal-time quantitative PCR was performed to detect miR-654-3p expression in HCC tissues and cell lines. The association of miR-654-3p expression with clinical characteristics of HCC patients were analyzed. And the prognostic value of miR-654-3p was examined using Kaplan-Meier curve and Cox regression analysis. CCK-8 and Transwell assays were used to observe the effects of miR-654-3p on proliferation, migration, and invasion of HCC cells.

resultsThe miR-654-3p expression was downregulated in both HCC tissues and cell lines, which was significantly associated with lymph node metastasis and TNM stage. Downregulation of miR-654-3p predicted poor prognosis of HCC patients. Overexpression of miR-654-3p inhibited HCC cell proliferation, migration, and invasion, while knockdown of miR-654-3p promoted these cellular behaviors in vitro.

conclusionOur study suggested that miR-654-3p expression was downregulated in HCC and might serve as a potential prognostic marker and therapeutic target for the survival of HCC patients. miR-654-3p might exert a suppressor role in HCC through inhibiting tumor cell proliferation, migration, and invasion.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularCell MovementCell ProliferationDown-RegulationFemaleHumansLiver NeoplasmsMaleMicroRNAsMiddle AgedNeoplasm InvasivenessPrognosisBiomarkers, TumorMicroRNAsMIRN654 microRNA, humanHepatocellular carcinomainvasionmigrationmiR-654-3pprognosisproliferation

Identifiers

PMID32176631
PMCPMC12662334
OpenAlexW3010701867

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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.