Profile of apoptotic proteins in oral squamous cell carcinoma: A cluster analysis of 171 cases

Oral squamous cell carcinoma (OSCC) is the eighth most prevalent cancer worldwide. In recent large-scale studies, by immunohistochemistry and cluster analysis, several markers were associated with patient survival in various tumors. The aim of this study was to analyze the expression profiles of 23 proteins that have been linked to the inhibition (Bcl-2, Bcl-x, Bcl-xL, Bcl-2-related protein A1, BAG-1, and survivin) and promotion (Bak, Bax, Bim/Bod, Bim-Long, Bad, Bid, PUMA, Apaf-1, caspase-2, caspase-3, caspase-6, caspase-7, caspase-8, caspase-9, caspase-10, Smac/DIABLO, and cytochrome c) of apoptosis in OSCC. METHODS: Two-hundred and twenty nine cases of OSCC, arranged in a tissue microarray, were immunohistochemically analyzed, and the results were quantified on an automated imaging system. The data were analyzed using a random forest clustering method. RESULTS: Overall protein expression patterns defined two chief clusters: an anti-apoptotic cluster (142 cases) and a pro-apoptotic cluster (29 cases). These groups could not be explained by any clinical or pathological characteristic, and overall and disease-free survival did not differ between them. CONCLUSIONS: Although there was no association with survival, the cluster analysis demonstrated specific protein profiles that could be of interest for using targeted therapies: in one of the clusters, the expression of pro-apoptotic proteins was more prominent, demonstrating a pro-apoptotic profile and highlighting the importance of apoptosis during OSCC development.

Plant-antivenom: database of anti-venom medicinal plants

Plant-antivenom is a computational Websystem about medicinal plants with anti-venom properties. The system consists of a database of these plants, including scientific publications on this subject and amino acid sequences of active principles from venomous animals. The system relates these data allowing their integration through different search applications. For the development of the system, the first surveys were conducted in scientific literature, allowing the creation of a publication database in a library for reading and user interaction. Then, classes of categories were created, allowing the use of tags and the organization of content. This database on medicinal plants has information such as family, species, isolated compounds, activity, inhibited animal venoms, among others. Provision is made for submission of new information by registered users, by the use of wiki tools. Content submitted is released in accordance to permission rules defined by the system. The database on biological venom protein amino acid sequences was structured from the essential information from National Center for Biotechnology Information (NCBI). Plant-antivenom's interface is simple, contributing to a fast and functional access to the system and the integration of different data registered on it. Plant-antivenom system is available on the Internet at http://gbi.fmrp.usp.br/plantantivenom.