Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for Hepatoblastoma

1 Apr 2021

Abstract excerpt

Background This study aimed to systematically investigate gene signatures for hepatoblastoma (HB) and identify potential biomarkers for its diagnosis and treatment. Materials and Methods GSE131329 and GSE81928 were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between hepatoblastoma and normal samples were identified using the Limma package in R. Then, the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Ferroptosis and cancer prognosis
Share to Hepatocellular Carcinoma Treatment and Prognosis
Share to Kruppel-like factors research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33868991
DOI: 10.3389/fonc.2021.591507

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of Ten Core Hub Genes as Potential Biomarkers and Treatment Target for HepatoblastomaPMID 33868991Read ↗

Identification of Five Hub Genes as Key Prognostic Biomarkers in Liver Cancer via Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Identification of most representative hub-genes for diagnosis, prognosis, and therapies of hepatocellular carcinomaSemantic proximity Read ↗

Identification of hub genes associated with prognosis, diagnosis, immune infiltration and therapeutic drug in liver cancer by integrated analysisSemantic proximity Read ↗

Bioinformatics screened of biomarkers for the prognosis of hepatocellular carcinomaSemantic proximity Read ↗

Computational analysis for identification of early diagnostic biomarkers and prognostic biomarkers of liver cancer based on GEO and TCGA databases and studies on pathways and biological functions affecting the survival time of liver cancerSemantic proximity Read ↗

Integrated Protein–Protein Interaction and Weighted Gene Co-expression Network Analysis Uncover Three Key Genes in HepatoblastomaSemantic proximity Read ↗

Identification of potential hub genes related to the progression and prognosis of hepatocellular carcinoma through integrated bioinformatics analysisSemantic proximity Read ↗

Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus‐Related Hepatocellular Carcinoma via Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Identification of novel potential biomarkers in hepatocarcinoma cancer; a transcriptome analysisSemantic proximity Read ↗

Identification of potential hub genes associated with the pathogenesis and prognosis of hepatocellular carcinoma via integrated bioinformatics analysisSemantic proximity Read ↗

Screening and function analysis of hub genes and pathways in hepatocellular carcinoma via bioinformatics approachesSemantic proximity Read ↗

Identification of hub genes and biological pathways in hepatocellular carcinoma by integrated bioinformatics analysisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.