Project description:MiRNA expression profiles were successfully examined through expression profiling of a total of 656 miRNAs between 2 head and neck squamous cell carcinoma (HNSCC) tissues (C) and their paired adjacent normal mucousal tissues (AN). In the study presented here, 2 head and neck squamous cell carcinoma (HNSCC) tissues (C) and their paired adjacent normal mucousal tissues (AN) were examined by miRNA array
Project description:Head and neck squamous cell carcinomas (HNSCC) driven by human papillomavirus (HPV) generally have a more favourable prognosis. We hypothesized that HPV-positive HNSCC may be identified based on a miRNA signature according to their specific molecular pathogenesis and are characterized by a unique transcriptome compared to HPV-negative HNSCC. We characterized the miRNA-expression patterns of the tumors from 229 head and neck squamous cell carcinoma patients by Agilent miRNA microarrays in order to define a HPV-predicting miRNA signature.
Project description:Sage performed on microdissection of Head and Neck tumor, and Head and Neck normal tissue comparative analysis of gene expression profiles of head and neck squamous cell carcinoma and Head and Neck normal tissue
Project description:MicroRNA expression in two pair of head and neck squamous cell carcinoma cell lines were analyzed. 4A/4B and 37A/37B cells were from two different head and neck squamous cell carcinoma patients. A cells were from patients' primary focus. B cells were from patients' lymph node metastasis. B cells have higher migratory and invasive abilities and CCR7 expression levels than A cell.
Project description:MicroRNAs (miRNAs) are a novel class of short RNAs which have shown to be dysregulated in a variety of cancers including squamous cell carcinoma (SCC) of the head&neck. Microarray based miRNA expression profiles of cutaneous SCC (cSCC) however have not been investigated so far. Seven patients with cutaneous SCC were enrolled in the study. Tumor biopsies (n=7) were taken from the center of the tumor. Adjacent healthy skin (n=7) was biopsied as a control (intraindividual control). miRNA expression profiles of all specimen were detected by mircroarray miRNA expression profiling based on miRBAse 16 and compared.
Project description:MiRNA expression profiles were successfully examined through expression profiling of a total of 656 miRNAs between 2 head and neck squamous cell carcinoma (HNSCC) tissues (C) and their paired adjacent normal mucousal tissues (AN).
Project description:Genome-wide expression array measurements for 9 head and neck squamous cell carcinomas (HNSCC) stratified by worst pattern of invasion (WPOI) Jayakar et al. (2016). Apolipoprotein E promotes invasion in oral squamous cell carcinoma. Li et al. (2013). Validation of the risk model: high-risk classification and tumor pattern of invasion predict outcome for patients with low-stage oral cavity squamous cell carcinoma.
Project description:Genome-wide expression array measurements for 9 head and neck squamous cell carcinomas (HNSCC) stratified by worst pattern of invasion (WPOI) Jayakar et al. (2016). Apolipoprotein E promotes invasion in oral squamous cell carcinoma. Li et al. (2013). Validation of the risk model: high-risk classification and tumor pattern of invasion predict outcome for patients with low-stage oral cavity squamous cell carcinoma. Comparison of transcription profiles between OSCC tumors with a more invasive (WPOI 5) versus a less invasive (WPOI 3) pattern of invasion using two independent Illumina platforms.
Project description:The aim of the present study was to evaluate miRNAs as response predictors in FFPE head and neck samples from a phase II clinical trial designed to evaluate the feasibility of delivering cisplatin concurrent with radiotherapy after an induction chemotherapy (IC) regimen based on the combination of cisplatin plus paclitaxel in locally advanced head and neck squamous cell carcinoma (HNSCC) patients. For this purpose, we assessed the global miRNA expression profile of 15 HNSCC patients undergoing treatment, in order to identify miRNAs able to segregate resistant tumors from the sensitive ones, thus serving as markers to predict response. The results showed four miRNAs (miR-21, miR-494, miR-720 and miR-923) that were overexpressed in HNSCC FFPE samples.
