ReviewiMetaOmics2024
Emerging nanomedicine strategies for hepatocellular carcinoma therapy.
Review in iMetaOmics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Perfluoroether Peptide-Modified Artificial Viral Capsid for Enhanced Doxorubicin Delivery to Liver Cancer Cells.ACS omega · 2026Article
- Peptide-Functionalized Liposomal Nanocarriers for Targeted Therapy of Liver Fibrosis and Hepatocellular Carcinoma: Design, Mechanisms, and Clinical Prospects.ACS pharmacology & translational science · 2026Review
- Bioengineered Exosome-Magnetic Nanoplatform for Precision Therapy of Hepatocellular CarcinomaInternational journal of nanomedicine · 2026Article
- Hepatotropic Nanomedicine and Targeted Nanocarriers for Liver Diseases and Hepatocellular Carcinoma.International journal of nanomedicine · 2026Review
- Circular RNAs: Key Regulators of Tumor Metabolic Reprogramming and Clinical Translation.Oncology research · 2026Review
- Current Therapeutic Strategies, Recent Advances and the Emerging Potential of Natural Products in Hepatocellular Carcinoma.Scientifica · 2026Review
- The Immune Microenvironment in Liver Cancer: From Analysis to Targeting.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- A metal-drug self-delivery nanomedicine alleviates tumor immunosuppression to potentiate synergistic chemo/chemodynamic therapy against hepatocellular carcinoma.Fundamental research · 2025Article
- iMetaOmics: Advancing human and environmental health through integrated meta-omics.iMetaOmics · 2024Article
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 prevalent malignant tumor with a range of risk factors, including viral infections, alcoholic liver disease, exposure to fungal toxins, obesity, and type 2 diabetes. Despite advancements in early detection and treatment, HCC continues to exhibit a high rate of recurrence. Patients in advanced stages have a poor prognosis, and the survival rate after cancer metastasis is notably low. Consequently, there exists an urgent necessity for novel treatment strategies. Nanomedicine possesses superior attributes, such as targeted administration and responsive drug release within the tumor microenvironment. These systems demonstrate potential in HCC treatment by facilitating the transportation of diverse therapeutic drugs. This comprehensive review aims to delve into the application of nanoparticle drug delivery systems in the management of liver tumors, with particular emphasis on formulation, targeted strategies specific to liver tumors, and various methods of drug release. By offering insights into the utilization of nanoparticle drug delivery systems in the realm of liver tumor treatment, this review endeavors to assist readers in exploring their vast potential.
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.