ArticleBiochemistry and biophysics reports2025
Network-based analysis of candidate oncogenes and pathways in hepatocellular carcinoma.
Article in Biochemistry and biophysics reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Immunoinformatics-guided design of a multi-epitope vaccine targeting WISP1 for gastric cancer.BMC biotechnology · 2026Article
- Autophagy-centered gene networks reveal prognostic biomarkers and therapeutic targets in esophageal cancer.Discover oncology · 2026Article
- Development of a CT radiomics and clinical feature combined model for predicting early recurrence of surgical resected hepatocellular carcinoma.Scientific reports · 2026Article
- Molecular and structural reprogramming of gastric cancer revealed by systems-level transcriptomic analysis.PloS one · 2026Article
- Kinesin Spindle Protein (KIF11) in Mitosis and Cancer.International journal of molecular sciences · 2025Review
- The Roles of SHCBP1 in Cancer Hallmarks: Molecular Mechanisms and Therapeutic Implications.International journal of molecular sciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is a major worldwide health burden due to poor outcomes. Identifying dysregulated molecular circuits in HCC is critical for developing precise treatments. A systems-level approach using multi-omics data is required to reveal the intricate non-linear interactions underlying liver carcinogenesis. Both tumor and control tissues contained differentially expressed genes (DEGs). Hub genes with the strongest connection were identified as potential drivers. Protein-protein interaction (PPI) mapping verified hub connectivity. Perturbed functions were evaluated using Gene Ontology and KEGG pathway enrichment analysis. Cytoscape clustering separated the interactome into modules. Motif discovery indicated a shift in
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.