ArticleTheranostics2020
Stepwise targeting and responsive lipid-coated nanoparticles for enhanced tumor cell sensitivity and hepatocellular carcinoma therapy.
Article in Theranostics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 36 citations in OpenAlex.
- Nanoscale delivery systems for hepatocellular carcinoma: Functionalization, delivery strategies, and clinical challenges.Materials today. Bio · 2026Review
- A photodynamically activated nanoplatform relieves glucose-driven immunosuppression to potentiate STING immunotherapy in triple-negative breast cancer.Materials today. Bio · 2026Article
- Targeted Hepatic Delivery of Bioactive Molecules via Nanovesicles: Recent Developments and Emerging Directions.Journal of personalized medicine · 2025Review
- Drug delivery systems based on mesoporous silica nanoparticles for the management of hepatic diseases.Acta pharmaceutica Sinica. B · 2025Review
- Nanomaterials for liver cancer targeting: research progress and future prospects.Frontiers in immunology · 2025Review
- Enhanced Therapeutic Potential of Liposome-Coated Bushen Jianpi Recipe for Hepatocellular Carcinoma.Current drug delivery · 2025Article
- Lipid Nanovesicle Platforms for Hepatocellular Carcinoma Precision Medicine Therapeutics: Progress and Perspectives.Organogenesis · 2024Review
- Co-delivery of camptothecin and MiR-145 by lipid nanoparticles for MRI-visible targeted therapy of hepatocellular carcinoma.Journal of experimental & clinical cancer research : CR · 2024Article
- Mushroom-derived bioactive components with definite structures in alleviating the pathogenesis of Alzheimer's disease.Frontiers in pharmacology · 2024Review
- Tumor microenvironment-responsive spherical nucleic acid nanoparticles for enhanced chemo-immunotherapy.Journal of nanobiotechnology · 2023Article
- Smart drug delivery systems for precise cancer therapy.Acta pharmaceutica Sinica. B · 2022Review
- Targeted Cancer Therapy via pH-Functionalized Nanoparticles: A Scoping Review of Methods and Outcomes.Gels (Basel, Switzerland) · 2022Article
- Lipid based nanoparticles as a novel treatment modality for hepatocellular carcinoma: a comprehensive review on targeting and recent advances.Journal of nanobiotechnology · 2022Review
- Galactose Modified Liposomes for Effective Co-Delivery of Doxorubicin and Combretastatin A4.International journal of nanomedicine · 2021Article
- Mesoporous Silica Nanoparticles for Potential Immunotherapy of Hepatocellular Carcinoma.Frontiers in bioengineering and biotechnology · 2021Review
- Multimodal Decorations of Mesoporous Silica Nanoparticles for Improved Cancer Therapy.Pharmaceutics · 2020Review
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 at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.