Tacrolimus 0.03% ointment in labial discoid lupus erythematosus: A randomized, controlled clinical trial.

In this randomized, controlled clinical trial to compare efficacy and safety, 41 patients with labial discoid lupus erythematosus (DLE) were randomized to 2 groups, either receiving tacrolimus 0.03% ointment (n = 22) or triamcinolone acetonide 0.1% cream (n = 19). Each patient was treated with 3, 2, and 1 daily doses in the first, second, and third weeks, respectively, for 1 course. After the 3 week treatment, patients with complete disappearance of erosion were followed up for 3 months. After the 3 week application, 20 participants in the tacrolimus group and 19 in the triamcinolone acetonide group completed the study. The rates of complete response were 70% and 89.5% in tacrolimus-treated and triamcinolone acetonide-treated patients, respectively, with no significant difference (P = .235). Reduction in erosion and erythema showed no significant difference between groups (P > .05). Final reduction in reticulation areas and numeric rating scale scores were significantly greater in the tacrolimus group than in the triamcinolone acetonide group (P = .013; P = .048, respectively). Only 1 patient receiving tacrolimus presented with slight discomfort. There was no significant difference in 3 month recurrence rate between the groups (P > .05). Topical tacrolimus is considered as effective as triamcinolone acetonide for the management of labial DLE.

Mining proteins associated with oral squamous cell carcinoma in complex networks.

The purpose of this study was to construct a protein-protein interaction (PPI) network related to oral squamous cell carcinoma (OSCC). Each protein was ranked and those most associated with OSCC were mined within the network. First, OSCC-related genes were retrieved from the Online Mendelian Inheritance in Man (OMIM) database. Then they were mapped to their protein identifiers and a seed set of proteins was built. The seed proteins were expanded using the nearest neighbor expansion method to construct a PPI network through the Online Predicated Human Interaction Database (OPHID). The network was verified to be statistically significant, the score of each protein was evaluated by algorithm, then the OSCC-related proteins were ranked. 38 OSCC related seed proteins were expanded to 750 protein pairs. A protein-protein interaction nerwork was then constructed and the 30 top-ranked proteins listed. The four highest-scoring seed proteins were SMAD4, CTNNB1, HRAS, NOTCH1, and four non-seed proteins P53, EP300, SMAD3, SRC were mined using the nearest neighbor expansion method. The methods shown here may facilitate the discovery of important OSCC proteins and guide medical researchers in further pertinent studies.