ReviewFrontiers in bioengineering and biotechnology2023
The improving strategies and applications of nanotechnology-based drugs in hepatocellular carcinoma treatment.
Review in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it.
- Seeing beyond words: nanotechnology in hepatocellular carcinoma - a bibliometric study.Frontiers in oncology · 2024Pooled it
- Advanced gene editing technologies for oncology mechanisms, applications, and clinical implementation.Cancer gene therapy · 2026Review
- Engineered live bacteria for liver diseases and gut-liver axis disorders: from genetic modification to advanced delivery systems.Journal of nanobiotechnology · 2026Review
- Nanotechnology-Enabled Diagnosis and Treatment of Hepatocellular Carcinoma: Theranostics, Combination Regimens, and Translation.International journal of nanomedicine · 2026Review
- Herbal Medicine: Enhancing the Anticancer Potential of Natural Products in Hepatocellular Carcinoma Therapy Through Advanced Drug Delivery Systems.Pharmaceutics · 2025Review
- Genetic polymorphisms as predictors of the response of hepatocellular carcinoma patients to doxorubicin chemotherapy: a genome-wide association study.Frontiers in pharmacology · 2025Article
- Nano-Formulations of Natural Antioxidants for the Treatment of Liver Cancer.Biomolecules · 2024Review
- Review
- Nano-revolution in hepatocellular carcinoma: A multidisciplinary odyssey - Are we there yet?World journal of hepatology · 2024Article
- Precision targeting in hepatocellular carcinoma: Exploring ligand-receptor mediated nanotherapy.World journal of hepatology · 2024Review
- Nanotechnology in oncology: a mini review.Revista da Associacao Medica Brasileira (1992) · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is one of the leading causes of tumor-related death worldwide. Conventional treatments for HCC include drugs, radiation, and surgery. Despite the unremitting efforts of researchers, the curative effect of HCC has been greatly improved, but because HCC is often found in the middle and late stages, the curative effect is still not satisfactory, and the 5-year survival rate is still low. Nanomedicine is a potential subject, which has been applied to the treatment of HCC and has achieved promising results. Here, we summarized the factors affecting the efficacy of drugs in HCC treatment and the strategies for improving the efficacy of nanotechnology-based drugs in HCC, reviewed the recent applications' progress on nanotechnology-based drugs in HCC treatment, and discussed the future perspectives and challenges of nanotechnology-based drugs in HCC treatment.
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.