A retrospective study of oral squamous cell carcinomas originated from oral submucous fibrosis / 中华口腔医学杂志

<p><b>OBJECTIVE</b>To investigate the clinical characteristics, pathological and biological behaviors of oral squamous cell carcinomas (OSCC) originated from oral submucous fibrosis (OSF).</p><p><b>METHODS</b>A total of 528 patients with OSCC treated at Department of Oral and Maxillofacial Surgery, Xiangya Hospital, Central South University from 2002 to 2010 were divided into two groups, OSCC originated from OSF and OSCC not originated from OSF. The clinical data regarding age, gender, location, pathological type, metastasis and recurrence rate of these patients were analyzed retrospectively.</p><p><b>RESULTS</b>The mean age of the group of OSCC originated from OSF (45.8 years) was younger than that of the group of OSCC not originated from OSF (55.9 years). The male female ratio of the group of OSCC originated from OSF (32.3:1) was higher than that of the group of OSCC not originated from OSF (2.3:1). The metastasis and recurrence rate of the group of OSCC originated from OSF (13.5%, 39.1%) was higher than that of the group of OSCC not originated from OSF (7.6%, 27.8%.).</p><p><b>CONCLUSIONS</b>OSCC originated from OSF occurs at younger age and more in male, and is clinically more invasive and metastatic.</p>

Application of bioinformatics tools in analysis of differentially expressed genes in oral submucosal fibrosis / 中华口腔医学杂志

<p><b>OBJECTIVE</b>To apply the bioinformatics tools for analyzing the differentially expressed genes in oral submucous fibrosis (OSF) to obtain the implied biological significance.</p><p><b>METHODS</b>By using DAVID and Onto-express bioinformatic tools, 865 differentially expressed genes in OSF were analyzed and the analysis of chromosome location, gene ontology (GO) and genetic-association diseases were performed.</p><p><b>RESULTS</b>A majority of the differentially expressed genes were located on chromosome 1,2,5,6,7,11,12 (P < 0.01). GO classification of the differentially expressed genes identified the biological process subgroups, including genes involved in immune response, defense response and so on. The cellular component subgroups were associated with extracellular matrix, cytoskeleton and membrane, molecular function subgroups related to protein binding, extracellular matrix structural constituent and signal transducer activity. The diseases genetically associated with these genes included infection, immune and cardiovascular diseases.</p><p><b>CONCLUSIONS</b>Bioinformatics can provide the quick and parallel analysis of massive data got from gene microarrays and enable the function classification of the differentially expressed genes, which provides new ideas on the research of pathogenesis and epidemiology of OSF.</p>