ReviewFrontiers in immunology2025
Smart nanocarriers for cancer: harnessing exosomes and lipid systems in photodynamic and immunotherapy.
Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Review
- Synthesis and molecular characterization of a novel FA-ADH-GMS conjugated pH-responsive lipid for targeted drug delivery.Molecular diversity · 2026Article
- Next-generation photodynamic cancer therapy: purpurin-based nanocarriers as emerging photosensitizers.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Erythrocyte-inspired biomaterials for cancer immunotherapy: Integration within the cancer-immunity cycle.Materials today. Bio · 2026Review
- Characterization and Evaluation of CD24 and NPY as Biomarkers for Metastatic Castration-Resistant Prostate Cancer.Diagnostics (Basel, Switzerland) · 2026Article
- The Versatile Roles of Exosomes in Neurodegenerative Disorders: From Pathological Mechanism and Diagnostic Biomarkers to Therapeutic Application.Drug design, development and therapy · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer remains the leading cause of death worldwide. Despite decades of continuous research, limitations persist in existing therapeutic approaches. Conventional strategies such as surgery, chemotherapy, and radiotherapy, though advanced, face challenges including poor bioavailability, toxic side effects, inadequate targeting of cancer cells, and limited survival benefits. The major issue lies in the inability of improved drug formulations to effectively reach cancer cells. Emerging approaches such as photodynamic therapy (PDT) and immunotherapy have shown greater promise, offering reduced side effects and higher treatment efficiency compared to traditional methods. Various natural and synthetic nanocarriers, including exosomes, liposomes, solid lipid nanoparticles (SLNs) and micelles have been explored as drug delivery vehicles in these therapies. Among them, exosomes, being natural secretory vesicles, have shown unique potential as independent delivery systems. However, challenges and limitations remain in their application for precise cancer targeting. A combinational strategy, integrating exosomes with other lipid-based drug delivery systems (LBDDS), while preserving their intrinsic properties and engineering their surface to carry photosensitizers (PS) or immune modulators, could overcome these barriers. Such well-designed natural cargos may enhance therapeutic efficacy, modulate the tumor microenvironment, and address current shortcomings in cancer therapy. This review highlights the individual applications of PDT and immunotherapy using exosomes and LBDDS, and explores their potential synergistic use for more effective and targeted cancer treatment.
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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.