Evidence map›Paper›PMID 31822116›Full record

ArticleCell transplantation2019

Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.

Zengyuan Zhou, Yuzheng Li, Haiyue Hao, Yuanyuan Wang, Zihao Zhou, Zhipeng Wang, Xia Chu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell transplantation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
12.4field-weighted citation impact, top 1% 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

83 citing papers in PubMed, 146 citations in OpenAlex.

  1. CD168 Identifies Proliferating Pancreatic Islet Cells in Murine and Human.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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23 more citing papers are in PubMed but not listed here.

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 at 1 institution in 2 countries.

Zengyuan ZhouDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0001-7216-3165
Yuzheng LiDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China.
Haiyue HaoDepartment of Medical Oncology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Yuanyuan WangDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China.
Zihao ZhouDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China.
Zhipeng WangDepartment of Medical Oncology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Xia ChuDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a widespread, common type of cancer in Asian countries, and the need for biomarker-matched molecularly targeted therapy for HCC has been increasingly recognized. However, the effective treatment for HCC is unclear. Therefore, identifying additional hub genes and pathways as novel prognostic biomarkers for HCC is necessary. In this study, the expression profiles of GSE121248, GSE45267 and GSE84402 were obtained from the Gene Expression Omnibus (GEO), including 132 HCC and 90 noncancerous liver tissues. Differentially expressed genes (DEGs) between HCC and noncancerous samples were identified by GEO2 R and Venn diagrams. In total, 109 DEGs were identified in these datasets, including 24 upregulated genes and 85 downregulated genes. Subsequently, Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) preliminary analyses of the DEGs were performed using DAVID. The protein-protein interaction (PPI) network of the DEGs was constructed with the Search Tool for the Retrieval of Interacting Genes (STRING) and visualized in Cytoscape. Module analysis of the PPI network was performed using MCODE to get hub genes. Moreover, the influence of the hub genes on overall survival was determined with Kaplan-Meier plotter. All hub genes were analyzed by Gene Expression Profiling Interactive Analysis (GEPIA) and KEGG. Overall, the hub genes

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularCell CycleComputational BiologyDatabases, GeneticDown-RegulationGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansKaplan-Meier EstimateLiver NeoplasmsMicroarray AnalysisPrognosisProtein Interaction MappingSignal TransductionBiomarkers, TumorTP53 protein, humanTumor Suppressor Protein p53bioinformatics analysishepatocellular carcinomahub genesprognostic biomarkers

Identifiers

PMID31822116
PMCPMC7016461
OpenAlexW2996461806

What OpenQuestion holds

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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.