ReviewMaterials today. Bio2025
Precision theranostics in cervical Cancer: Harnessing stimuli-responsive hydrogels for tumor microenvironment-targeted therapy and diagnosis.
Review in Materials today. Bio, 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.
- Multifunctional Hydrogels for Diabetic Wound Healing: Design Strategies and Microenvironmental Remodeling Mechanisms.Gels (Basel, Switzerland) · 2026Review
- Application of hydrogels in 3D tumor microenvironment modeling and drug screening for cervical cancer: A review.Bioengineering & translational medicine · 2026Review
- Review
- Smart responsive hydrogels combined with AI design for tumor therapy.Acta pharmaceutica Sinica. B · 2026Review
- Lactylation-based machine algorithm combined with multi-omics analysis to predict prognosis in cervical cancer.Oncology letters · 2026Article
- Smart Nanoformulations for Oncology: A Review on Overcoming Biological Barriers with Active Targeting, Stimuli-Responsive, and Controlled Release for Effective Drug Delivery.Pharmaceutics · 2026Review
- Recent Advances in Smart Stimulus-Responsive Hydrogels for Precision Drug Delivery in Tumours.Gels (Basel, Switzerland) · 2026Review
- Spatiotemporally controlled delivery of biomacromolecules via injectable hydrogels for precision modulation of the tumor immune microenvironment.Journal of nanobiotechnology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cervical cancer continues to pose a significant threat to women's health worldwide, with conventional therapies often limited by drug resistance and systemic toxicity. Stimuli-responsive hydrogels have recently emerged as promising platforms in precision oncology, owing to their ability to enable spatiotemporally controlled drug delivery, integrate multimodal theranostic functions, and dynamically interact with the tumor microenvironment (TME). This review highlights the stimuli-responsive hydrogels as precision theranostic platforms capable of targeting the unique TME of cervical cancer. We systematically categorize hydrogel systems based on their response mechanisms-pH, temperature, enzymes, light, magnetic fields, and redox conditions-and directly align these with clinical applications such as chemotherapy, gene therapy, immunotherapy, and real-time diagnostics. We further explore the integration of advanced technologies including 4D printing, organoid models, and artificial intelligence (AI) for personalized treatment planning and dynamic adaptability. By offering a comprehensive and application-oriented perspective, this review provides innovative insights into the design of smart hydrogels that enhance therapeutic precision, reduce off-target effects, and improve diagnostic sensitivity in cervical cancer.
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.