ReviewCurrent drug delivery2025
Lipid Nanoparticles as a Platform for miRNA and siRNA Delivery in Hepatocellular Carcinoma.
Review in Current drug delivery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- HCV-Induced Hepatocarcinogenesis: Molecular Mechanisms, Persistent Cancer Risk, and Future Perspectives.Biomedicines · 2026Review
- A novel auto-fluorescent porphyrin-lipid nanoparticle strategy for CTNNB1 gene silencing in hepatocellular carcinoma.Frontiers in oncology · 2026Article
- Navigating Transition Metal-Dependent Cell Death: Mechanisms, Crosstalk, and Future Directions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Nanoparticles Used for the Delivery of RNAi-Based Therapeutics.Pharmaceutics · 2025Review
- Dysregulation of MicroRNAs in Hepatocellular Carcinoma: Targeting Oncogenic Signaling Pathways for Innovative Therapies.International journal of molecular sciences · 2025Review
- Progress in the Application of Novel Nanomaterials in Targeted Therapy for Liver Cancer.International journal of nanomedicine · 2025Review
- Advances in Lipid-Based Nanomedicine: Pathway Specific siRNA Therapy and Optimizing Delivery for Hepatocellular Carcinoma.International journal of nanomedicine · 2025Review
- Enhanced Therapeutic Potential of Liposome-Coated Bushen Jianpi Recipe for Hepatocellular Carcinoma.Current drug delivery · 2025Article
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
Liver cancer is the sixth most common cancer and the fourth leading cause of death worldwide. Hepatocellular carcinoma (HCC) comprises 75-80% of liver cancer cases. Therapeutic strategies for HCC are available and have been shown to prolong survival but do not treat HCC. Gene expression and regulation are responsible for the pathogenesis and progression of HCC. Altering these genetic networks can impact cellular behaviors and in turn cure HCC. Single-stranded and double-stranded non-coding ribonucleic acid known as microRNA and small interfering RNA, respectively have been investigated as possible therapeutic options. Currently, efficient delivery systems that ensure cell-specific targeting and efficient transfection into tumor cells are still under investigation. Viral vectors have been studied extensively, but immunogenicity hinders their use as delivery systems. Non-viral vectors which include inorganic, lipid, or polymeric nanoparticles are promising delivery systems. However, there are a lot of challenges during the formulation of such systems to ensure efficient and specific delivery. In vitro and in vivo studies have investigated different lipid nanoparticles (LNPs) to deliver miRNA or siRNA. In this review, we highlight the role of LNPs as a delivery system for miRNA and siRNA in HCC in addition to the latest results achieved using this approach.
Indexed as
Identifiers
38698743What 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.