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( Jung Min Bae ),( Han Mi Jung ),( Hyuck Sun Kwon ),( Sook Jung Yun ),( Hee Su Kim ),( Byung Cheol Park ),( Joung Soo Kim ),( Soo Hong Seo ),( Dong-youn Lee ),( You Chan Kim ),( Hyang Joon Park ),( Ke 대한피부과학회 2017 대한피부과학회 학술발표대회집 Vol.69 No.2
Background: Recently, the autoimmune process of vitiligo has been further identified by the demonstration of CD8+T cells playing a major role in spreading vitiligo. Although the decreased risks of skin cancers in patients with vitiligo has been found, the risks of internal malignancy have not been assessed yet. Objectives: To determine the risks of internal malignancy in patients with vitiligo. Methods: A population-based cohort study was conducted using the Korean NHI Claims database from 2007 to 2016. All patients with vitiligo aged ≥20 years were identified, and age- and sex- matched controls selected from patients without vitiligo. Outcomes of interests were the incidences of internal malignancy since the enrollment. Results: A total of 101,078 patients with vitiligo and 202,156 controls without vitiligo were enrolled. The overall risk of internal malignancy was 612.9 and 708.9 per 100,000 person-years in vitiligo patients and controls, respectively, and was significantly decreased in patients with vitiligo (HR 0.857, 95% CI 0.823-0.893) after adjustment for potential confounders. In subgroup analyses, vitiligo was significantly associated with the reduced cancer risks of stomach (HR 0.838), colon and rectum (HR 0.617), lung (HR 0.748), ovary (HR 0.617), and leukemia (HR 0.592) (all P < 0.003). Conclusion: The autoimmune nature of vitiligo might protect patients with vitiligo from the development of various internal malignancies.
Neural Network‐Based Analysis of Thiol Proteomics Data in Identifying Potential Selenium Targets
Lee, Jong‐,Sik,Ma, Yong‐,Beom,Choi, Kyoung‐,Soo,Park, Soo‐,Yeon,Baek, Sun‐,Hee,Park, Young‐,Mee,Zu, Ke,Zhang, Haitao,Ip, Clement,Hong Kim, Yeul,Park, Eun‐,Mi MARCEL DEKKER, INC 2006 PREPARATIVE BIOCHEMISTRY AND BIOTECHNOLOGY Vol.36 No.1
<P>Generation of a monomethylated selenium metabolite is critical for the anticancer activity of selenium. Because of its strong nucleophilicity, the metabolite can react directly with protein thiols to cause redox modification. Here, we report a neural network-based analysis to identify potential selenium targets. A reactive thiol specific reagent, BIAM, was used to monitor thiol proteome changes on 2D gel. We constructed a dynamic model and evaluated the relative importance of proteins mediating the cellular responses to selenium. Information from this study will provide new clues to unravel mechanisms of anticancer action of selenium. High impact selenium targets could also serve as biomarkers to gauge the efficacy of selenium chemoprevention.</P>