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

Global Gene Expression Profiling and Bioinformatics Analysis Reveal Downregulated Biomarkers as Potential Indicators for Hepatocellular Carcinoma

9 Jun 2024

Abstract excerpt

High Resolution Image Download MS PowerPoint Slide Objective: The study aimed to elucidate the significance of CLEC4G, CAMK2β, SLC22A1, CBFA2T3, and STAB2 in the prognosis of hepatocellular carcinoma (HCC) patients and their associated molecular biological characteristics. Additionally, the research sought to identify new potential biomarkers with therapeutic and diagnostic relevance for clinical applications....

Read the complete abstract on PubMed

Topics

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

Share to Hepatitis B Virus Studies
Share to Hepatocellular Carcinoma Treatment and Prognosis
Share to Liver Disease Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38911766
DOI: 10.1021/acsomega.4c01496

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Global Gene Expression Profiling and Bioinformatics Analysis Reveal Downregulated Biomarkers as Potential Indicators for Hepatocellular CarcinomaPMID 38911766Read ↗

Proteogenomic characterization of hepatocellular carcinomaSemantic proximity Read ↗

Deciphering the Molecular Complexity of Hepatocellular Carcinoma: Unveiling Novel Biomarkers and Therapeutic Targets Through Advanced Bioinformatics AnalysisSemantic proximity Read ↗

Integrative proteogenomic characterization of hepatocellular carcinoma across etiologies and stages.Semantic proximity Read ↗

Integrated Proteomics and Bioinformatics to Identify Potential Prognostic Biomarkers in Hepatocellular CarcinomaSemantic proximity Read ↗

Identification of differentially expressed genes in hepatocellular carcinoma by integrated bioinformatic analysisSemantic proximity Read ↗

Comprehensive analysis of DNA methylation and gene expression profiles in cholangiocarcinomaSemantic proximity Read ↗

Functional and Topological Properties in Hepatocellular Carcinoma TranscriptomeSemantic proximity Read ↗

Comprehensive proteome and phosphoproteome analysis reveals the protein characterization of invasive ductal and lobular carcinoma with specific molecular subgroupSemantic proximity Read ↗

Identification of Hepatocellular Carcinoma-Related Potential Genes and Pathways Through Bioinformatic-Based AnalysesSemantic proximity Read ↗

Biomarker Panels Associated with Diagnosis and Overall Survival in Hepatocellular Carcinoma Revealed from Protein-Protein and mRNA-miRNA Interaction NetworksSemantic proximity Read ↗

Novel significant stage-specific differentially expressed genes in hepatocellular carcinomaSemantic proximity Read ↗

Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis.Semantic proximity Read ↗

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