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: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:Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers in India. Despite improvements in treatment strategy, the survival rates of HNSCC patients remains poor. Thus, it is necessary to identify biomarkers that can be used for early detection of disease. In this study, we employed iTRAQ-based quantitative mass spectrometry analysis to identify dysregulated proteins from a panel of head and neck squamous cell carcinoma (HNSCC) cell lines. We identified 2,468 proteins, of which 496 proteins were found to be dysregulated in at least two HNSCC cell lines compared to immortalized normal oral keratinocytes. We detected increased expression of replication protein A1 (RPA1) and heat shock protein family H (Hsp110) member 1 (HSPH1), in HNSCC cell lines compared to control. The differentially expressed proteins were further validated using parallel reaction monitoring (PRM) and western blot analysis in HNSCC cell lines. Immunohistochemistry-based validation using HNSCC tissue microarrays revealed overexpression of RPA1 and HSPH1 in 15.7% and 32.2% of the tested cases, respectively. Our study illustrates quantitative proteomics as a robust approach for identification of potential HNSCC biomarkers.
Project description:To determine the differential expression of KRAS-variant HNSCC (head and neck squamous cell carcinoma) cell lines. Total RNA collected from a panel of HNSCC cell lines.
