ReviewInternational journal of biological sciences2024
Overcoming Barriers in Photodynamic Therapy Harnessing Nanogenerators Strategies.
Review in International journal of biological sciences, 2024. 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.
- Reprogramming Photodynamic Therapy with BODIPY Photosensitizers: From Local Phototoxicity Toward Precision Photodynamic Oncology.Molecules (Basel, Switzerland) · 2026Review
- Molecular Effects of Indocyanine Green-Photodynamic Therapy on Programmed Cell Death Pathways in T98G and U-118MG Glioblastoma Cells-An RT-qPCR Study.Current issues in molecular biology · 2026Article
- Liposome-Based Photodynamic Therapy for Breast Cancer: Innovations in Targeted Delivery, Combination Strategies, and Clinical Translation.International journal of molecular sciences · 2026Review
- Photo- and Immunotherapy Interface: Can Dendritic Cell Vaccines Overcome the Limitations of PDT?Pharmaceutics · 2026Review
- Covalently Surface-Functionalized Porphyrins on Silica Nanoparticles for Efficient Photodynamic Therapy.International journal of molecular sciences · 2026Article
- Multifunctional CuFrontiers in chemistry · 2026Review
- Empowering photodynamic therapy with artificial intelligence: current trends and future directions.Frontiers in oncology · 2026Review
- Phytochemical-based nanosystems: recent advances and emerging application in antiviral photodynamic therapy.Nanomedicine (London, England) · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Photodynamic therapy (PDT) represents a targeted approach for cancer treatment that employs light and photosensitizers (PSs) to induce the generation of reactive oxygen species (ROS). However, PDT faces obstacles including insufficient PS localization, limited light penetration, and treatment resistance. A potential solution lies in nanogenerators (NGs), which function as self-powered systems capable of generating electrical energy. Recent progress in piezoelectric and triboelectric NGs showcases promising applications in cancer research and drug delivery. Integration of NGs with PDT holds the promise of enhancing treatment efficacy by ensuring sustained PS illumination, enabling direct electrical control of cancer cells, and facilitating improved drug administration. This comprehensive review aims to augment our comprehension of PDT principles, explore associated challenges, and underscore the transformative capacity of NGs in conjunction with PDT. By harnessing NG technology alongside PDT, significant advancement in cancer treatment can be realized. Herein, we present the principal findings and conclusions of this study, offering valuable insights into the integration of NGs to overcome barriers in PDT.
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.