Evidence map›Paper›PMID 30679912›Full record

ArticleOncoTargets and therapy2019

Comprehensive analysis of potential prognostic genes for the construction of a competing endogenous RNA regulatory network in hepatocellular carcinoma.

Chaosen Yue, Yaoyao Ren, Hua Ge, Chaojie Liang, Yingchen Xu, Guangming Li, Jixiang Wu

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
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

38 citing papers in PubMed.

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  5. Comprehensive analyses of NCancer science · 2022
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  8. Experimental biology and medicine (Maywood, N.J.) · 2022
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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

7 authors.

Chaosen YueDepartment of General Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China, trwujixiang2018@126.com; guangmingli2018@126.com.
Yaoyao RenDepartment of Anesthesiology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China.
Hua GeDepartment of General Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China, trwujixiang2018@126.com; guangmingli2018@126.com.
Chaojie LiangDepartment of General Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China, trwujixiang2018@126.com; guangmingli2018@126.com.
Yingchen XuDepartment of General Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China, trwujixiang2018@126.com; guangmingli2018@126.com.
Guangming LiDepartment of General Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China, trwujixiang2018@126.com; guangmingli2018@126.com.
Jixiang WuDepartment of General Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China, trwujixiang2018@126.com; guangmingli2018@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is an extremely common malignant tumor with worldwide prevalence. The aim of this study was to identify potential prognostic genes and construct a competing endogenous RNA (ceRNA) regulatory network to explore the mechanisms underlying the development of HCC.

methodsIntegrated analysis was used to identify potential prognostic genes in HCC with R software based on the GSE14520, GSE17548, GSE19665, GSE29721, GSE60502, and the Cancer Genome Atlas databases. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway-enrichment analyses were performed to explore the molecular mechanisms of potential prognostic genes. Differentially expressed miRNAs (DEMs) and lncRNAs (DELs) were screened based on the Cancer Genome Atlas database. An lncRNA-miRNA-mRNA ceRNA regulatory network was constructed based on information about interactions derived from the miRcode, TargetScan, miRTarBase, and miRDB databases.

resultsA total of 152 potential prognostic genes were screened that were differentially expressed in HCC tissue and significantly associated with overall survival of HCC patients. There were 13 key potential prognostic genes in the ceRNA regulatory network: eleven upregulated genes (

conclusionThis study identified potential prognostic genes and constructed an lncRNA- miRNA-mRNA ceRNA regulatory network of HCC, which not only has important clinical significance for early diagnoses but also provides effective targets for HCC treatments and could provide new insights for HCC-interventional strategies.

Indexed as

ceRNAhepatocellular carcinomaprognostic gene

Identifiers

PMID30679912
PMCPMC6338110

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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.