ArticleBiology2021
Identification of Five Hub Genes as Key Prognostic Biomarkers in Liver Cancer via Integrated Bioinformatics Analysis.
Article in Biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 27 citations in OpenAlex.
- Unraveling risk factors and transcriptomic signatures in liver cancer progression and mortality through machine learning and bioinformatics.Briefings in functional genomics · 2026Article
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- Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma.PloS one · 2025Article
- ZNF165: A Pan-Cancer Biomarker with Prognostic and Therapeutic Potential.Protein and peptide letters · 2025Article
- Synthesis of a novel mitochondrial fluorescent probe - killing cancer cellsFrontiers in pharmacology · 2025Article
- PPIH acts as a potential predictive biomarker for patients with common solid tumors.BMC cancer · 2024Article
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- UHPLC-QTOF-MS Metabolic Profiling ofACS omega · 2023Article
- Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning.Scientific reports · 2023Article
- Characterisation of key biomarkers in diabetic ulcers via systems bioinformatics.International wound journal · 2023Article
- Network analysis of liver cancer: a system biology approach.Gastroenterology and hepatology from bed to bench · 2023Article
- Identifying key transcription factors and immune infiltration in non-small-cell lung cancer using weighted correlation network and Cox regression analyses.Frontiers in oncology · 2023Article
- Bioinformatics analysis of prognostic value and immunological role of MeCP2 in pan-cancer.Scientific reports · 2022Article
- Integrated Transcriptome Profiling Identifies Prognostic Hub Genes as Therapeutic Targets of Glioblastoma: Evidenced by Bioinformatics Analysis.ACS omega · 2022Article
- Environmental Phenol and Paraben Exposure Risks and Their Potential Influence on the Gene Expression Involved in the Prognosis of Prostate Cancer.International journal of molecular sciences · 2022Article
- Comprehensive Genetic Analysis of Tuberculosis and Identification of Candidate Biomarkers.Frontiers in genetics · 2022Article
- Harshening stem cell research and precision medicine: The states of human pluripotent cells stem cell repository diversity, and racial and sex differences in transcriptomes.Frontiers in cell and developmental biology · 2022Article
- Identification of Prognostic Gene Signatures for Survival of Patients With Phaeochromocytoma, Paraganglioma, and Other Tumor Types.Cancer diagnosis & prognosisArticle
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Liver cancer is one of the most common cancers and the top leading cause of cancer death globally. However, the molecular mechanisms of liver tumorigenesis and progression remain unclear. In the current study, we investigated the hub genes and the potential molecular pathways through which these genes contribute to liver cancer onset and development. The weighted gene co-expression network analysis (WCGNA) was performed on the main data attained from the GEO (Gene Expression Omnibus) database. The Cancer Genome Atlas (TCGA) dataset was used to evaluate the association between prognosis and these hub genes. The expression of genes from the black module was found to be significantly related to liver cancer. Based on the results of protein-protein interaction, gene co-expression network, and survival analyses, DNA topoisomerase II alpha (
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