ArticleInternational journal of molecular sciences2023
Transcriptomic Study on Human Skin Samples: Identification of Two Subclasses of Actinic Keratoses.
Article in International journal of molecular sciences, 2023. 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
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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.
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.
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Who cites it
6 citing papers in PubMed.
- Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.Journal of biomedical optics · 2025Article
- Dermoscopy and Pathological Correlation in Different Grades of Actinic Keratosis and Squamous Cell Carcinoma.Clinical, cosmetic and investigational dermatology · 2025Article
- CD93: A Promising NETs-Related Biomarker for Diagnosis and Therapy in Actinic Keratosis.OncoTargets and therapy · 2025Article
- Molecular Biomarkers in Cutaneous Photodynamic Therapy: A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2024Review
- Natural Compounds in Non-Melanoma Skin Cancer: Prevention and Treatment.Molecules (Basel, Switzerland) · 2024Review
- Looking into the Skin in Health and Disease: From Microscopy Imaging Techniques to Molecular Analysis.International journal of molecular sciences · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Actinic keratoses (AKs) are sun-damaged skin areas that affect 20% of the European adult population and more than 50% of people aged 70 years and over. There are currently no clinical or histological features allowing us to identify to which clinical class (i.e., regression or progression) an AK belongs. A transcriptomic approach seems to be a robust tool for AK characterization, but there is a need for additional studies, including more patients and elucidating the molecular signature of an AK. In this context, the present study, including the largest number of patients to date, is the first aiming at identifying biological features to objectively distinguish different AK signatures. We highlight two distinct molecular profiles: AKs featuring a molecular profile similar to squamous cell carcinomas (SCCs), which are called "lesional AKs" (AK_Ls), and AKs featuring a molecular profile similar to normal skin tissue, which are called "non-lesional AKs" (AK_NLs). The molecular profiles of both AK subclasses were studied, and 316 differentially expressed genes (DEGs) were identified between the two classes. The 103 upregulated genes in AK_L were related to the inflammatory response. Interestingly, downregulated genes were associated with keratinization. Finally, based on a connectivity map approach, our data highlight that the VEGF pathway could be a promising therapeutic target for high-risk lesions.
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Registered trials
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