Project description:In our previous study, we identified global genetic and epigenetic aberrations in the tumors of oral squamous cell carcinoma (OSCC) patients who were habitual smokers. We hypothesized that cigarette smoke might play a role in oral malignant transformation. DOK cell line is a dysplasitc oral keratinocyte derived from a heavy smoker with OSCC. The differentially expressed genes between DOK and normal human oral keratinocytes (HOK) may provide important information about OSCC carcinogenesis mediated by cigarette smoking. Total RNA was collected from DOK and HOK cells followed by gene expression microarray analysis.
Project description:In our previous study, we identified global genetic and epigenetic aberrations in the tumors of oral squamous cell carcinoma (OSCC) patients who were habitual smokers. We hypothesized that cigarette smoke might play a role in oral malignant transformation. DOK cell line is a dysplasitc oral keratinocyte derived from a heavy smoker with OSCC. The differentially expressed genes between DOK and normal human oral keratinocytes (HOK) may provide important information about OSCC carcinogenesis mediated by cigarette smoking.
Project description:Oral squamous cell carcinoma (OSCC) is a lethal disease and early death usually occurs as a result of local invasion and regional lymph node metastases. We used microarrays to identify down or upregulated genes in OSCCs compared with non-malignant controls. To identify genes whose transcription is deregulated in OSCC, the gene expression profiles of eight OSCC cell lines (H-series and M9) and three primary cultures of normal oral keratinocytes (NKs) were examined using Affymetrix HG-U133A and HG-U133 Plus 2.0 arrays.
Project description:To further development of gene expression approach to squamous carcinoma, we have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential to reveal the relation between oral squamous carcinoma (OSCC) and human normal oral mucosal epithelial keratinocytes.
Project description:The role of MUC21 in oral squamous cell carcinoma (OSCC) remains unexplored. Microarray data of 10 paired OSCC and adjacent normal oral mucosae (para-OSCC) from this study and datasets from GEO and TCGA RNA-seq were analyzed to screen out differentially expressed genes including MUC21 which was further validated by qRT-PCR. the impact of expression changes of MUC21 on OSCC was retrospectively studied by clinical data, MUC21 immunohistochemistry data from a cohort of patients. In vitro OSCC cell lines experiments were also conducted to further verify the results.
Project description:Using Affymetrix Mapping 250K array, we studied copy number aberrations in oral squamous cell carcinoma (OSCC) to identified biomarkers associated with occult lymph node metastasis. We used frozen specimens from 60 OSCC patients. Copy number analysis was performed using homogenized samples of 60 oral squamous cell carcinoma patients by GeneChip Human Mapping 250k Sty arrays. As a reference, SNP array data set of 50 normal Asians (Japanese & Chinese) from HapMap database was used.
Project description:Next-generation sequencing (NGS) has transformed systems-based analysis in the molecular landscapes of various cancer types. The goals of this study are to obtain transcriptomes expressed in human oral squamous cell carcinoma (OSCC) cell lines. The transcriptome profiles of OSCC cell lines (H357, KB and Hep-2) and normal Human oral keratinocytes (HOK) were obtained from the high throughput RNA sequencing sequencing using Illumina Hiseq2500 platform. We obtained 10160, 10251, 10191, 10201 transcripts expressed in HOK, H357, KB, and Hep-2 respectively, which include protein coding genes (PCGs), lncRNAs, pseudogenes and others. Our results showed a set of transcripts that are dysregulated in OSCC, which might be playing some key roles in tumorigenesis process. Further in-depth analysis might provide clues for better understanding of gene function in OSCC.
Project description:Oral cavity squamous cell carcinoma (OSCC) is a disease with extensive morbidity and mortality and few useful molecular targets. Multiplatform integrated genomic analysis was performed in order to identify genomic drivers and molecularly discernible tumor subtypes. mRNA, miRNA and methylation data are all submitted to GEO We measured methylation of 42 OSCC tumors, 2 normal oral epithelial tissues, and 2 normal blood samples with Illumina HumanMethylation450 arrays
