ReviewWorld journal of hepatology2025
Targeting glypican-3 as a new frontier in liver cancer therapy.
Review in World journal of hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Glypican-3-targeted bioconjugates for hepatocellular carcinoma: design, engineering, and translational applications.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026Review
- Glypican-3-targeted therapy in hepatocellular carcinoma: biological insights and therapeutic strategies.Cancer gene therapy · 2026Review
- Redesigning CAR therapy to tackle immune effector cell-associated hematotoxicity.Annals of hematology · 2026Review
- CAR Intrinsic Design Pre-Shapes Transcriptional and Metabolic Networks in CAR T Cells.Metabolites · 2026Article
- Serum Outperforms Plasma for Glypican-3 Quantification in Hepatocellular Carcinoma-A Prospective Comparative Study.Journal of clinical medicine · 2026Article
- Bispecific antibodies in gastrointestinal cancers: current applications and future perspectives.Frontiers in oncology · 2026Review
- Cancer Vaccines: Molecular Mechanisms, Clinical Progress, and Combination Immunotherapies with a Focus on Hepatocellular Carcinoma.Current issues in molecular biology · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glypican-3 (GPC3) is a tumor-associated antigen that is specifically expressed in hepatocellular carcinoma (HCC) and having relatively low levels in normal tissues. This unique expression pattern positions GPC3 as a potential target for precision therapy and drug development in HCC. Recent studies have shown significant advancements in GPC3-targeted therapies and immunotherapies, particularly for patients with advanced or treatment-resistant HCC. Although certain clinical trials have yielded suboptimal results, numerous ongoing studies continue to explore its therapeutic efficacy. This mini-review focuses on the latest research developments regarding GPC3 as a therapeutic target across various HCC treatment strategies, including monoclonal antibodies, bispecific antibodies, chimeric antigen receptor-T-cell therapies, and other innovative approaches. In addition, the limitations of GPC3-targeted therapies and their future application prospects in HCC treatment are discussed. The review particularly emphasizes the unmet need for future research directions, such as combination immunotherapy strategies and novel drug designs. Through the integration of innovative technologies and clinical validation, GPC3 holds strong potential as a promising breakthrough in the treatment of HCC, offering new opportunities for enhancing patient outcomes and improving therapeutic efficacy.
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.