ReviewDrug delivery2021
Stimuli-responsive drug delivery systems for head and neck cancer therapy.
Review in Drug delivery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 60 citations in OpenAlex.
- Biomaterial-based Drug delivery strategies for head and neck cancer: Local delivery, combination therapy, and translational challenges.International journal of pharmaceutics: X · 2026Review
- A destination-driven framework for nanoparticle-enabled targeted protein degradation.Acta pharmaceutica Sinica. B · 2026Review
- Helicobacter pylori-derived outer membrane vesicles: Pathogenic roles, microbiota interactions, and biomedical applications.Journal of advanced research · 2026Review
- Phytochemicals as Emerging Antiproliferative Agents in Head and Neck Cancer: Molecular Mechanisms and Therapeutic Strategies.Pharmacology · 2026Review
- Advanced nanotechnology in enhancing immune checkpoint inhibitors (ICIs) for head and neck cancer therapy.Cell communication and signaling : CCS · 2025Review
- Advances in PCL, PLA, and PLGA-Based Technologies for Anticancer Drug Delivery.Pharmaceutics · 2025Review
- [Research progress of liposome drug delivery system in the treatment of head and neck cancer].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025Review
- Advanced drug delivery systems for oral squamous cell carcinoma: a comprehensive review of nanotechnology-based and other innovative approaches.Frontiers in drug delivery · 2025Review
- Photodynamic Therapy: A Novel Approach for Head and Neck Cancer Treatment with Focusing on Oral Cavity.Biological procedures online · 2024Review
- Dual-responsive chondroitin sulfate self-assembling nanoparticles for combination therapy in metastatic cancer cells.International journal of pharmaceutics: X · 2024Article
- Therapeutic Advances and Challenges for the Management of HPV-Associated Oropharyngeal Cancer.International journal of molecular sciences · 2024Review
- Advances on Delivery System of Active Ingredients of Dried Toad Skin and Toad Venom.International journal of nanomedicine · 2024Review
- Nano-Proteolysis Targeting Chimeras (Nano-PROTACs) in Cancer Therapy.International journal of nanomedicine · 2024Review
- Paclitaxel-loaded ROS-responsive nanoparticles for head and neck cancer therapy.Drug delivery · 2023Article
- Photodynamic therapy in cancer stem cells - state of the art.Lasers in medical science · 2023Review
- Applications of Stimuli-Responsive Hydrogels in Bone and Cartilage Regeneration.Pharmaceutics · 2023Review
- Review
- Nanotheranostics-based Management of Head and Neck Cancer.Nanotheranostics · 2023Review
- Gemcitabine cationic polymeric nanoparticles against ovarian cancer: formulation, characterization, and targeted drug delivery.Drug delivery · 2022Article
- Naturally Equipped Urinary Exosomes Coated Poly (2-ethyl-2-oxazoline)-Poly (D, L-lactide) Nanocarriers for the Pre-Clinical Translation of Breast Cancer.Bioengineering (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Head and neck cancer (HNC) is among the most common malignancy that has a profound impact on human health and life quality. The treatment for HNC, especially for the advanced cancer is stage-dependent and in need of combined therapies. Various forms of adjuvant treatments such as chemotherapy, phototherapy, hyperthermia, gene therapy have been included in the HNC therapy. However, there are still restrictions with traditional administration such as limited in situ therapeutic effect, systemic toxicity, drug resistance, etc. In recent years, stimuli-responsive drug delivery systems (DDSs) have attracted the great attention in HNC therapy. These intelligent DDSs could respond to unique tumor microenvironment, external triggers or dual/multi stimulus with more specific drug delivery and release, leading to enhanced treatment efficiency and less reduced side effects. In this article, recent studies on stimuli-responsive DDSs for HNC therapy were summarized, which could respond to endogenous and exogenous triggers including pH, matrix metalloproteinases (MMPs), reactive oxygen species (ROS), redox condition, light, magnetic field and multi stimuli. Their therapeutic remarks, current limits and future prospect for these intelligent DDSs were discussed. Furthermore, multifunctional stimuli-responsive DDSs have also been reviewed. With the modification of drug carriers or co-loading with therapeutic agents. Those intelligent DDSs showed more biofunctions such as combined therapeutic effects or integration of diagnosis and treatment for HNC. It is believed that stimuli-responsive drug delivery systems showed great potential for future clinic translation and application for the treatment of HNC.
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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.