ReviewCurrent pharmaceutical biotechnology2025
Nanoemulsions in Skin Cancer Therapy: A Promising Frontier.
Review in Current pharmaceutical biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
4 authors.
Funding
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Abstract
Skin cancer, a global burden for particularly white people, is classified as various histopathological types, including malignant melanoma, basal and squamous cell carcinoma, on the basis of affected different skin layers. Clinical adjuvant therapy (electro-chemotherapy, radio- and immuno therapy), surgical techniques (Cryosurgery, laser treatment, dermabrasion, Moh's micrographic surgery), photodynamic treatment and theranostic approaches are confined only for the treatment of serious health issues. Therefore, nanotechnology based approaches, especially nanoemulsion, a non-spontaneous, transparent or translucent, kinetically stable nanostructured (1-1000nm) colloidal dispersion (comprised of oil, water and surfactant/cosurfactant), are being popularised as a potential topical nanocarrier to deliver BCS class II and IV anti-neoplastic drugs attributing to its capacity for both active and passive tumor targeting in controlled or sustained manner and improving bioavailability via enhancing permeabilityretention effect with minimal adverse effects. Numerous research on nanoemulsion for the treatment of both melanoma and non-melanoma skin cancer is only limited to preclinical stages as several physiological variables reduce the effectiveness of nanoemulsion via restricting topical penetration.
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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.