ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2020
UV biomarker genes for classification and risk stratification of cutaneous actinic keratoses and squamous cell carcinoma subtypes.
Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- UVREK: Development and Analysis of an Expression Profile Knowledgebase of Biomolecules Induced by Ultraviolet Radiation Exposure.ACS omega · 2025Article
- Loss of CELF2 promotes skin tumorigenesis and increases drug resistance.International journal of dermatology · 2025Article
- Innovation in Actinic Keratosis Assessment: Artificial Intelligence-Based Approach to LC-OCT PRO Score Evaluation.Cancers · 2023Article
- Transcriptomic Study on Human Skin Samples: Identification of Two Subclasses of Actinic Keratoses.International journal of molecular sciences · 2023Article
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
Currently, there is no sensitive molecular test for identifying transformation-prone actinic keratoses (AKs) and aggressive squamous cell carcinoma (SCC) subtypes. Biomarker-based molecular testing represents a promising tool for risk stratifying these lesions. We evaluated the utility of a panel of ultraviolet (UV) radiation-biomarker genes in distinguishing between benign and transformation-prone AKs and SCCs. The expression of the UV-biomarker genes in 31 SCC and normal skin (NS) pairs and 10 AK/NS pairs was quantified using the NanoString nCounter system. Biomarker testing models were built using logistic regression models with leave-one-out cross validation in the training set. The best model to classify AKs versus SCCs (area under curve (AUC) 0.814, precision score 0.833, recall 0.714) was constructed using a top-ranked set of 13 UV-biomarker genes. Another model based on a 15-gene panel was developed to differentiate histologically concerning from less concerning SCCs (AUC 1, precision score 1, recall 0.714). Finally, 12 of the UV-biomarker genes were differentially expressed between AKs and SCCs, while 10 genes were uniquely expressed in the more concerning SCCs. UV-biomarker gene subsets demonstrate dynamic utility as molecular tools to classify and risk stratify AK and SCC lesions, which will complement histopathologic diagnosis to guide treatment of high-risk patients.
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Registered trials
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