Project description:Identification of genes that are differentially regulated in fibroblasts derived from dysplastic oral mucosa and oral squamous cell carcinoma compared to fibroblasts derived from normal oral mucosa. Affymetrix microarrays were used to define differential gene expression. Populations of fibroblasts were isolated from human normal oral mucosa, oral dysplasia and oral squamous cell carcinoma, maintained in 3D collagen I biomatrices, RNA extracted and processed for Affymetrix arrays. Fibroblasts maintained as monolayers were also included as comparators.
Project description:micro-RNA in cancer-associated fibroblasts in oral squamous cell carcinoma vs. dysplasia-associated fibroblasts from dysplastic oral lesions vs. normal fibroblasts from normal oral mucosa from healthy individual.
Project description:Identification of genes that are differentially regulated in fibroblasts derived from dysplastic oral mucosa and oral squamous cell carcinoma compared to fibroblasts derived from normal oral mucosa. Affymetrix microarrays were used to define differential gene expression.
Project description:Transcription profiling by high throughput sequencing of retinoic acid treated human oral squamous cell carcinoma cells and normal cells
Project description:Common overexpressing genes were identified in all human oral squamous cell carcinoma tissues and/or cultured cells. Ten oral squamous cell carcinoma tissues and 10 human oral squamous cell carcinoma cell lines were analyzed. Three normal oral mucosa tissues and a human non-neoplastic keratinocyte cell lines were used as control samples.
Project description:Understanding the dynamics of the immune microenvironment is critical to the development of immuno-prevention strategies for the prevention of oral potentially malignant disorders transformation to oral squamous cell carcinoma (OSCC). We generated gene expression profiles of the microdissected epithelial and stromal compartments normal mucosa, hyperplasia, dysplasia and invasive tumors in the 4-nitroquinolein (4-NQO) murine model of oral carcinogenesis. Most gene expression changes were observed in the stromal compartment and related to immune biological processes. Immune cell deconvolution identified infiltration by the macrophage population as the most important quantitatively especially at the stage of dysplasia. In 86 patients with oral leukoplakia, three M2 macrophages signatures were independently associated and highly predictive of improved oral cancer-free survival.
Project description:BACKGROUND: Cell lines have been developed for modeling cancer and cancer progression. The molecular background of these cell lines is often unknown to those using them to model disease behaviors. As molecular alterations are the ultimate drivers of cell phenotypes, having an understanding of the molecular make-up of these systems is critical for understanding the disease biology modeled. METHODS: Six immortalized normal, one immortalized dysplasia, one self-immortalized dysplasia, and two primary normal cell lines derived from oral tissues were analyzed for DNA copy number changes and changes in both mRNA and miRNA expression using SMRT-v.2 genome-wide tiling comparative genomic hybridization arrays, Agilent Whole Genome 4x44k expression arrays, and Exiqon V2.M-RT-PCR microRNA Human panels. RESULTS: DNA copy number alterations were detected in both normal and dysplastic immortalized cell lines—as well as in the single non-immortalized dysplastic cell line. These lines were found to have changes in expression of genes related to cell cycle control as well as alterations in miRNAs that are deregulated in clinical oral squamous cell carcinoma tissues. Immortal lines—whether normal or dysplastic—had increased disruption in expression relative to primary lines. All data are available as a public resource. CONCLUSIONS: Molecular profiling experiments have identified DNA,mRNA,andmiRNAalterations for a panel of normal and dysplastic oral tissue cell lines. These data are a valuable resource to those modeling diseases of the oral mucosa, and give insight into the selection of model cell lines and the interpretation of data from those lines. Total RNA from oral cancer cell lines were hybridized to Agilent 4x44k gene expression microarray
