ReviewCurrent issues in molecular biology2025
Decoding Hepatocellular Carcinoma Metastasis: Molecular Mechanisms, Targeted Therapies, and Potential Biomarkers.
Review in Current issues in molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Inhibition of Calcium-Sensing Receptor Suppresses Malignant Behaviours of Human Hepatocellular Carcinoma.Journal of cellular and molecular medicine · 2026Article
- Human biomarker navigator.iMeta · 2026Review
- Hepatocellular carcinoma metastasis-immune microenvironment crosstalk: emerging mechanisms and immunotherapy.Cellular & molecular biology letters · 2026Review
- Integrative Bioinformatic Characterization of the HDAC6-Driven Cytoskeleton-Wnt Signaling Interface in Hepatocellular Carcinoma: Implications for Immune Modulation and Therapeutic Targeting.International journal of molecular sciences · 2026Article
- Article
- Integrated multi-omics analysis of metabolomics and proteomics uncovers dysregulated amino acid metabolism in HCC metastasis.Frontiers in immunology · 2026Article
- Glutaryl-CoA dehydrogenase: a key biomarker linking lysine degradation to hepatocellular carcinoma metastasis and prognosis via NF-KB signaling pathway.Journal of gastrointestinal oncology · 2025Article
- Therapeutic potential of natural triterpenoids in liver cancer.Medical oncology (Northwood, London, England) · 2025Review
- Review
- Liver Semantic Segmentation Method Based on Multi-Channel Feature Extraction and Cross Fusion.Bioengineering (Basel, Switzerland) · 2025Article
- Approaches to modeling cancer metastasis: from bench to bedside.Frontiers in oncology · 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
8 authors.
Funding
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, with metastasis representing a pivotal factor in poor prognosis and high fatality rates. This review offers a comprehensive examination of the key molecular events and regulatory mechanisms driving HCC metastasis, with a particular focus on genetic mutations, epigenetic alterations, and dysregulated signaling pathways. Special emphasis is placed on the role of three-dimensional genome structural remodeling in HCC initiation and metastatic progression. Additionally, the latest advances in targeted therapies for advanced HCC are summarized, including both first-line and second-line treatments, highlighting their impact on controlling metastatic disease. The review also examines a variety of potential biomarkers linked to HCC metastasis, including circulating tumor cells, circulating tumor DNA, and exosomal contents, all of which demonstrate significant promise for the early detection, diagnosis, and therapeutic monitoring of HCC metastasis. By bridging molecular insights with clinical applications, this review provides valuable perspectives to guide future research in the diagnosis and treatment of HCC metastasis.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.