ArticleNano research2018
Advances in targeted nanotherapeutics: From bioconjugation to biomimicry.
Article in Nano research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed.
- SpyTag-Embedded Protein Nanoparticles Enable pH-Dependent Protein Loading.Molecular biotechnology · 2026Article
- Surface decoration of solid lipid nanoparticles with cyclic RGD peptides for precision therapy in high-risk neuroblastoma.Drug delivery and translational research · 2026Article
- Titanium dioxide nanoparticles in oncology: synthesis, application, and challenges.Cell biology and toxicology · 2026Review
- Loading Density Influences the Tumor Cell Targeting and Signaling Inhibition Capabilities of Antibody Nanoconjugates.ACS omega · 2026Article
- Engineering Biomimetic Nanoparticle Performance Through Fabrication Method Selection: Turbulent Jet Mixing, Microfluidics, and Extrusion.Small methods · 2026Article
- Enhancing osteoporosis treatment: emerging roles of engineered exosomes in bone regeneration and repair.Journal of translational medicine · 2026Review
- Influence of the protein corona on hematopoietic stem and progenitor cell uptake and macrophage clearance of membrane-wrapped nanoparticles.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Membrane-modified lipid nanoparticles for RNA delivery.Molecular therapy. Methods & clinical development · 2025Review
- Theranostic Applications of Taurine-Derived Carbon Dots in Colorectal Cancer: Ferroptosis Induction and Multifaceted Antitumor Mechanisms.International journal of nanomedicine · 2025Article
- Fullerene Derivatives for Tumor Treatment: Mechanisms and Application.International journal of nanomedicine · 2024Review
- Radiofrequency enhances drug release from responsive nanoflowers for hepatocellular carcinoma therapy.Beilstein journal of nanotechnology · 2024Article
- Cancer Cell Membrane Wrapped Nanoparticles for the Delivery of a Bcl-2 Inhibitor to Triple-Negative Breast Cancer.Molecular pharmaceutics · 2023Article
- Combination cancer imaging and phototherapy mediated by membrane-wrapped nanoparticles.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2023Review
- Recent progress in cancer cell membrane-based nanoparticles for biomedical applications.Beilstein journal of nanotechnology · 2023Review
- Emerging photodynamic/sonodynamic therapies for urological cancers: progress and challenges.Journal of nanobiotechnology · 2022Review
- Membrane-wrapped nanoparticles for photothermal cancer therapy.Nano convergence · 2022Review
- Membrane-wrapped nanoparticles for nucleic acid delivery.Biomaterials science · 2022Review
- Engineered a dual-targeting biomimetic nanomedicine for pancreatic cancer chemoimmunotherapy.Journal of nanobiotechnology · 2022Article
- Inhibiting collagen I production and tumor cell colonization in the lungActa pharmaceutica Sinica. B · 2022Article
- Radiation nanosensitizers in cancer therapy-From preclinical discoveries to the outcomes of early clinical trials.Bioengineering & translational medicine · 2022Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Since the emergence of cancer nanomedicine, researchers have had intense interest in developing nanoparticles (NPs) that can specifically target diseased sites while avoiding healthy tissue to mitigate the off-target effects seen with conventional treatments like chemotherapy. Initial endeavors focused on the bioconjugation of targeting agents to NPs, and more recently, researchers have begun to develop biomimetic NP platforms that can avoid immune recognition to maximally accumulate in tumors. In this review, we describe the advantages and limitations of each of these targeting strategies. First, we review developments in bioconjugation strategies, where NPs are coated with biomolecules such as antibodies, aptamers, peptides, and small molecules to enable cell-specific binding. While bioconjugated NPs offer many exciting features and have improved pharmacokinetics and biodistribution relative to unmodified NPs, they are still recognized by the body as "foreign", resulting in their clearance by the mononuclear phagocytic system (MPS). To overcome this limitation, researchers have recently begun to investigate biomimetic approaches that can hide NPs from immune recognition and reduce clearance by the MPS. These biomimetic NPs fall into two distinct categories: synthetic NPs that present naturally occurring structures, and NPs that are completely disguised by natural structures. Overall, bioconjugated and biomimetic NPs have substantial potential to improve upon conventional treatments by reducing off-target effects through site-specific delivery, and they show great promise for future standards of care. Here, we provide a summary of each strategy, discuss considerations for their design moving forward, and highlight their potential clinical impact on cancer therapy.
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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.