Evidence map›Paper›PMID 32955083›Full record

ArticleBioscience reports2020

Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma.

Limin Zhen, Gang Ning, Lina Wu, Yongyuan Zheng, Fangji Yang, Tongtong Chen, Wenxiong Xu, Ying Liu, Chan Xie, Liang Peng

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 10 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

10 authors at 2 institutions in 1 country.

Limin Zhen *Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
Gang Ning *Department of Gastroenterology and Hepatology, Guangzhou Digestive Diseases Center, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong Province 510180,China.
Lina WuDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
Yongyuan ZhengDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
Fangji YangDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
Tongtong ChenDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
Wenxiong XuDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
Ying LiuDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
Chan XieDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
Liang PengDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
Sun Yat-sen University · CNGuangzhou First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify the prognostic value of aberrantly methylated differentially expressed genes (DEGs) in hepatocellular carcinoma (HCC) and to explore the underlying mechanisms of tumorigenesis.

methodsGene expression profiles (GSE65372 and GSE37988) were analyzed using GEO2R to obtain aberrantly methylated DEGs. Functional enrichment analysis of screened genes was performed by the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Cytoscape software was used to analyze the PPI network and to select hub genes. Transcriptional and proteinic expression data of hub genes were obtained through UALCAN and the Human Protein Reference Database. Finally, we analyzed the prognostic value of hub genes with the Kaplan-Meier Plotter and MethSurv database.

resultsIn total, 24 up-hypomethylated oncogenes and 37 down-hypermethylated tumor suppressor genes (TSGs) were identified, and 8 hub genes, including 4 up-hypomethylated oncogenes (CDC5L, MERTK, RHOA and YBX1) and 4 down-hypermethylated TSGs (BCR, DFFA, SCUBE2 and TP63), were selected by PPI. Higher expression of methylated CDC5L-cg05671347, MERTK-cg08279316, RHOA-cg05657651 and YBX1-cg16306148, and lower expression of methylated BCR-cg25410636, DFFA-cg20696875, SCUBE2-cg19000089 and TP63-cg06520450, were associated with better overall survival (OS) in HCC patients. Multivariate analysis also showed they were independent prognostic factors for OS of HCC patients.

conclusionsIn summary, different expression of methylated genes above mentioned were associated with better prognosis in HCC patients. Altering the methylation status of these genes may be a therapeutic target for HCC, but it should be further evaluated in clinical studies.

Indexed as

Computational BiologyDNA MethylationBiomarkers, TumorCarcinoma, HepatocellularDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansLiver NeoplasmsPredictive Value of TestsPrognosisProtein Interaction MapsRisk AssessmentRisk FactorsTranscription, GeneticBiomarkers, TumorCDC5Lhepatocellular carcinomaMERTKmethylationprognosisRHOA

Identifiers

PMID32955083
PMCPMC7536330
OpenAlexW3087162760

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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.