@article {692,
	title = {Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets.},
	journal = {IEEE J Biomed Health Inform},
	volume = {24},
	year = {2020},
	month = {2020 07},
	pages = {2119-2130},
	abstract = {<p>Many clinical studies have revealed the high biological similarities existing among different skin pathological states. These similarities create difficulties in the efficient diagnosis of skin cancer, and encourage to study and design new intelligent clinical decision support systems. In this sense, gene expression analysis can help find differentially expressed genes (DEGs) simultaneously discerning multiple skin pathological states in a single test. The integration of multiple heterogeneous transcriptomic datasets requires different pipeline stages to be properly designed: from suitable batch merging and efficient biomarker selection to automated classification assessment. This article presents a novel approach addressing all these technical issues, with the intention of providing new sights about skin cancer diagnosis. Although new future efforts will have to be made in the search for better biomarkers recognizing specific skin pathological states, our study found a panel of 8 highly relevant multiclass DEGs for discerning up to 10 skin pathological states: 2 healthy skin conditions a priori, 2 cataloged precancerous skin diseases and 6 cancerous skin states. Their power of diagnosis over new samples was widely tested by previously well-trained classification models. Robust performance metrics such as overall and mean multiclass F1-score outperformed recognition rates of 94\% and 80\%, respectively. Clinicians should give special attention to highlighted multiclass DEGs that have high gene expression changes present among them, and understand their biological relationship to different skin pathological states.</p>},
	keywords = {Biomarkers, Tumor, Computational Biology, Diagnosis, Computer-Assisted, Gene Expression Profiling, Humans, Machine Learning, RNA-seq, Skin Neoplasms},
	issn = {2168-2208},
	doi = {10.1109/JBHI.2019.2953978},
	author = {Galvez, Juan M and Castillo-Secilla, Daniel and Herrera, Luis J and Valenzuela, Olga and Caba, Octavio and Prados, Jose C and Ortuno, Francisco M and Rojas, Ignacio}
}
@article {501,
	title = {Role of CPI-17 in restoring skin homoeostasis in cutaneous field of cancerization: effects of topical application of a film-forming medical device containing photolyase and UV filters.},
	journal = {Exp Dermatol},
	volume = {22},
	year = {2013},
	month = {2013 Jul},
	pages = {494-6},
	abstract = {<p>Cutaneous field of cancerization (CFC) is caused in part by the carcinogenic effect of the cyclobutane pyrimidine dimers CPD and 6-4 photoproducts (6-4PPs). Photoreactivation is carried out by photolyases which specifically recognize and repair both photoproducts. The study evaluates the molecular effects of topical application of a film-forming medical device containing photolyase and UV filters on the precancerous field in AK from seven patients. Skin improvement after treatment was confirmed in all patients by histopathological and molecular assessment. A gene set analysis showed that skin recovery was associated with biological processes involved in tissue homoeostasis and cell maintenance. The CFC response was associated with over-expression of the CPI-17 gene, and a dependence on the initial expression level was observed (P~=~0.001). Low CPI-17 levels were directly associated with pro-inflammatory genes such as TNF (P~=~0.012) and IL-1B (P~=~0.07). Our results suggest a role for CPI-17 in restoring skin homoeostasis in CFC lesions. </p>},
	keywords = {Administration, Topical, Adult, Aged, Aged, 80 and over, Biopsy, Deoxyribodipyrimidine Photo-Lyase, Female, Gene Expression Profiling, Gene Expression Regulation, Enzymologic, Gene Expression Regulation, Neoplastic, Homeostasis, Humans, Inflammation, Intracellular Signaling Peptides and Proteins, Liposomes, Male, Middle Aged, Muscle Proteins, Phenotype, Phosphoprotein Phosphatases, Reactive Oxygen Species, Skin, Skin Neoplasms, Ultraviolet Rays},
	issn = {1600-0625},
	doi = {10.1111/exd.12177},
	author = {Puig-Butille, Joan Anton and Malvehy, Josep and Potrony, Miriam and Trullas, Carles and Garcia-Garcia, Francisco and Dopazo, Joaquin and Puig, Susana}
}
