ReviewRSC advances2025
Phthalocyanine-nanoparticle conjugates for enhanced cancer photodynamic therapy.
Review in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Dual Anticancer and Antibacterial Applications of Active Particle Aggregates Containing Metal Phthalocyanines in Dark.International journal of molecular sciences · 2026Article
- Research progress on two-dimensional phthalocyanine materials: from molecular design to exploration of multifunctional applications.RSC advances · 2026Review
- Effect of Phthalocyanines Substitution Pattern on Their Loading into Bacterial Cellulose Nanocrystals.Molecules (Basel, Switzerland) · 2026Article
- Nanotechnology in Skin Cancer Therapy: Recent Progress in Targeted Delivery.The Kaohsiung journal of medical sciences · 2026Review
- Biomolecule-Photosensitizer Conjugates: A Strategy to Enhance Selectivity and Therapeutic Efficacy in Photodynamic Therapy.Pharmaceuticals (Basel, Switzerland) · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Photodynamic therapy (PDT) represents a selective and minimally invasive strategy for cancer treatment, relying on light-activated photosensitizers (PSs) to produce ROS that induce tumor cell death. Among various PSs, phthalocyanines have emerged as promising candidates owing to their strong absorption in the near-infrared region, excellent photostability, and high singlet oxygen quantum yield. However, their clinical application remains limited by poor water solubility, tendency to aggregate, and insufficient tumor specificity. To address these challenges, nanoparticle-based delivery systems have been extensively explored to enhance the performance of phthalocyanine (Pc) photosensitizers. This review specifically highlights the integration of metallophthalocyanines (MPcs) with a range of nanoparticles (NPs), including gold, silver, titanium dioxide, magnetic NPs and polymeric carriers. It provides a comprehensive overview of key advancements from 2023 to 2025 in nanoparticle-mediated delivery strategies for phthalocyanine-based PSs in cancer photodynamic therapy. These nanostructures not only improve the solubility and stability of MPcs but also facilitate targeted delivery and enhance photodynamic efficacy through better cellular uptake and controlled release mechanisms. Different classes of nanocarriers and their design strategies for optimizing therapeutic outcomes are critically discussed. Furthermore, the review addresses current challenges such as biological barriers, potential toxicity, and regulatory considerations. Future perspectives on clinical translation are also explored, emphasizing the significant potential of nanoparticle-assisted MPc systems to revolutionize cancer photodynamic therapy.
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.