ReviewCurrent treatment options in oncology2023
Enhanced Photodynamic Therapy by Improved Light Energy Capture Efficiency of Porphyrin Photosensitizers.
Review in Current treatment options in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Article
- Advances in porphyrin-based photosensitizers for photodynamic therapy of A549 lung cancer.Frontiers in pharmacology · 2026Review
- The Current State of Research in the Field of Photosensitizers and Photoactivators for Photodynamic/Photothermal Cancer Therapy: A Review.International journal of molecular sciences · 2025Review
- Multifunctional nanoparticles and collagenase dual loaded thermosensitive hydrogel system for enhanced tumor-penetration, reversed immune suppression and photodynamic-immunotherapy.Bioactive materials · 2025Article
- The Current Advances in Design Strategy (Indirect Strategy and Direct Strategy) for Type-I Photosensitizers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Synergistic effect of cold atmospheric plasma and methylene blue loaded nano micelles on treating human glioblastoma cells: An in vitro and molecular dynamics study.Iranian journal of basic medical sciences · 2025Article
- Article
- Peptide-Based Turn-On Fluorescent Probes for Highly Specific Detection of Survivin Protein in the Cancer Cells.Chemical & biomedical imaging · 2024Article
- Recent Innovations of Mesoporous Silica Nanoparticles Combined with Photodynamic Therapy for Improving Cancer Treatment.Pharmaceutics · 2023Review
- Efficient Strategies to Use β-Cationic Porphyrin-Imidazolium Derivatives in the Photoinactivation of Methicillin-ResistantInternational journal of molecular sciences · 2023Article
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
opinion statementPhotodynamic therapy (PDT) has garnered increasing attention in cancer treatment because of its advantages such as minimal invasiveness and selective destruction. With the development of PDT, impressive progress has been made in the preparation of photosensitizers, particularly porphyrin photosensitizers. However, the limited tissue penetration of the activating light wavelengths and relatively low light energy capture efficiency of porphyrin photosensitizers are two major disadvantages in conventional photosensitizers. Therefore, tissue penetration needs to be enhanced and the light energy capture efficiency of porphyrin photosensitizers improved through structural modifications. The indirect excitation of porphyrin photosensitizers using fluorescent donors (fluorescence resonance energy transfer) has been successfully used to address these issues. In this review, the enhancement of the light energy capture efficiency of porphyrins is discussed.
Indexed as
Identifiers
37407889What 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.