ReviewMedical oncology (Northwood, London, England)2025
Role of hepatotropic viruses in promoting hepatocellular carcinoma-current knowledge and recent advances.
Review in Medical oncology (Northwood, London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- HCV-Induced Hepatocarcinogenesis: Molecular Mechanisms, Persistent Cancer Risk, and Future Perspectives.Biomedicines · 2026Review
- Campesterol induces apoptosis and inhibits proliferation in HepG2 liver cancer cells.Clinical and experimental hepatology · 2026Article
- Implementation of noninvasive liver disease screening tools in primary care.Korean journal of family medicine · 2025Article
- Molecular mechanisms and clinical significance of perineural invasion in malignancies: the pivotal role of tumor-associated Schwann cells in cancer progression and metastasis.Medical oncology (Northwood, London, England) · 2025Review
- Exosome in HBV infection: current concepts and future perspectives.Frontiers in cellular and infection microbiology · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, with chronic infections by hepatotropic viruses such as hepatitis B virus (HBV), and hepatitis C virus (HCV), being major risk factors. Chronic infections with these viruses are the leading cause of HCC worldwide, with HBV alone responsible for over 50% of cases. Despite advances in direct-acting antivirals (DAAs) for HCV and nucleos(t)ide analogues (NAs) for HBV, challenges remain in HCC prevention, early detection, and treatment. Recent research highlights the role of viral-induced metabolic alterations, such as the Warburg effect, mitochondrial dysfunction, and lipid dysregulation, in promoting HCC. Moreover, immune checkpoint inhibitors have emerged as effective treatments for advanced HCC, though responses vary between HBV- and HCV-related cancers. Additionally, novel therapeutic approaches and metabolic-targeted therapies offer promising avenues for virus-associated HCC treatment. Advancements in liquid biopsy biomarkers and artificial intelligence-driven diagnostics are improving HCC surveillance and risk stratification, potentially enabling earlier interventions. While HBV vaccination has significantly reduced HCC incidence, disparities in global vaccination coverage persist. Furthermore, antiviral therapies combined with structured surveillance programs have proven effective in reducing HCC incidence and mortality. This review highlights the complex connection between viral, genetic, and environmental factors in HCC development and underscores the importance of integrated prevention strategies to reduce its burden globally.
Indexed as
Identifiers
40095313What 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.