ArticleInternational journal of pharmaceutics: X2022
Nanoparticles design considerations to co-deliver nucleic acids and anti-cancer drugs for chemoresistance reversal.
Article in International journal of pharmaceutics: X, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed.
- Targeted Folate-Chitosan Nanoformulations of Quercetin andPharmaceuticals (Basel, Switzerland) · 2026Article
- Polyethylene Carboxylates Synthesized via Statistical Optimization: A Biocompatible Polymer Scaffold for Bioactive Conjugation.Biotechnology and applied biochemistry · 2026Article
- Effective approaches in conquering chemoresistance of glioblastoma: potential for nanoformulations.Drug delivery and translational research · 2026Review
- Decoding macrophage heterogeneity in the pulmonary fibrosis lung cancer transition.Frontiers in immunology · 2026Review
- Nanomaterials-driven in situ vaccination: a novel frontier in tumor immunotherapy.Journal of hematology & oncology · 2025Review
- High-salt diet decreases FOLFOX efficacy via gut bacterial tryptophan metabolism in colorectal cancer.Molecular medicine (Cambridge, Mass.) · 2025Article
- Uncovering the Emerging Prospects of Lipid-based Nanoparticulate Vehicles in Lung Cancer Management: A Recent Perspective.Pharmaceutical nanotechnology · 2025Review
- The Intricate Web of MicroRNAs in Modulating EGFR-TKI Resistance in Non-Small Cell Lung Cancer: A Comprehensive Review.Cancer management and research · 2025Review
- Hydrogel-based platforms for site-specific doxorubicin release in cancer therapy.Journal of translational medicine · 2024Review
- Progress in Research of Nanotherapeutics for Overcoming Multidrug Resistance in Cancer.International journal of molecular sciences · 2024Review
- Review
- Personalized Nasal Protective Devices: Importance and Perspectives.Life (Basel, Switzerland) · 2023Review
- Engineered small extracellular vesicles loaded with miR-654-5p promote ferroptosis by targeting HSPB1 to alleviate sorafenib resistance in hepatocellular carcinoma.Cell death discovery · 2023Article
- Review
- Exploiting Nanomedicine for Cancer Polychemotherapy: Recent Advances and Clinical Applications.Pharmaceutics · 2023Review
- Engineered exosomes as drug and RNA co-delivery system: new hope for enhanced therapeutics?Frontiers in bioengineering and biotechnology · 2023Review
- Formulation of Lipid-Based Nanoparticles for Simultaneous Delivery of Lapatinib and Anti-Survivin siRNA for HER2+ Breast Cancer Treatment.Pharmaceuticals (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chemoresistance and hence the consequent treatment failure is considerably challenging in clinical cancer therapeutics. The understanding of the genetic variations in chemoresistance acquisition encouraged the use of gene modulatory approaches to restore anti-cancer drug efficacy. Many smart nanoparticles are designed and optimized to mediate combinational therapy between nucleic acid and anti-cancer drugs. This review aims to define a rational design of such co-loaded nanocarriers with the aim of chemoresistance reversal at various cellular levels to improve the therapeutic outcome of anticancer treatment. Going through the principles of therapeutics loading, physicochemical characteristics tuning, and different nanocarrier modifications, also looking at combination effectiveness on chemosensitivity restoration. Up to now, these emerging nanocarriers are in development status but are expected to introduce outstanding outcomes.
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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.