Project description:Highly coordinated, deregulated expressions of microRNAs (miRNA) have been implicated in the development of various cancers, including head and neck squamous cell carcinoma (HNSCC). Outside of HPV infection, molecular classification of HNSCC is lacking, and patient stratification by anatomical location and stage does not account for the heterogenous clinical courses seen. Previous studies have proposed molecular classifications based on gene expression, but none describe the role of microRNA expression in HNSCC subtyping. In this study, we identified reliable miRNA clusters that can be used to subclassify HNSCC tumors as well as other squamous tumors of other anatomic locations. An institutional discovery cohort was generated using miRNA expression data from microarrays, and this was validated using publicly available next-generation microRNA sequencing data from TCGA. Further analysis of these subtypes revealed distinct biological and clinical features of HNSCC tumors based on the miRNA expression profiles, which provides new insights into the pathogenesis and treatment of HNSCC.
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: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:Head and neck squamous cell carcinoma (HNSCC) is a heterogeneous disease whose underlying etiology has not been explained by traditional prognostic factors such as tumor site, stage, or histology. Although previous studies have shown that molecular subtypes of HNSCC exist, the benefit of such a classification scheme has not been fully realized. We show that molecular subtypes of HNSCC exist; that these subtypes have distinct patterns of chromosomal gain and loss, some of which affect canonical oncogenes and tumor suppressors; and that the subtypes are biologically and clinically relevant. These subtypes provide new insight into HNSCC etiology, as well as a valuable method for classifying HNSCC tumors.
Project description:The differential diagnosis between head & neck squamous cell carcinomas and lung squamous cell carcinomas is often unresolved because the histologic appearance of these two tumor types is similar. In the development of a gene expression profile test (GEP-HN-LS) that distinguishes these 2 cancer types, a collection of poorly differentiated primary and metastatic tumor specimens were used. Here we describe 76 such tumor specimens that were used for validation of GEP-HN-LS. The specimens are either head & neck squamous cell carcinomas or lung squamous cell carcinomas.
Project description:The differential diagnosis between head & neck squamous cell carcinomas and lung squamous cell carcinomas is often unresolved because the histologic appearance of these two tumor types is similar. In the development of a gene expression profile test (GEP-HN-LS) that distinguishes these 2 cancer types, a collection of poorly differentiated primary and metastatic tumor specimens were used. Here we describe 76 such tumor specimens that were used for validation of GEP-HN-LS. The specimens are either head & neck squamous cell carcinomas or lung squamous cell carcinomas. All tissue specimens were formalin fixed paraffin embedded specimens. Gene expression was profiled using Affymetrix GeneChip platform.
Project description:Head and neck squamous cell carcinoma (HNSCC) is a heterogeneous disease whose underlying etiology has not been explained by traditional prognostic factors such as tumor site, stage, or histology. Although previous studies have shown that molecular subtypes of HNSCC exist, the benefit of such a classification scheme has not been fully realized. We show that molecular subtypes of HNSCC exist; that these subtypes have distinct patterns of chromosomal gain and loss, some of which affect canonical oncogenes and tumor suppressors; and that the subtypes are biologically and clinically relevant. These subtypes provide new insight into HNSCC etiology, as well as a valuable method for classifying HNSCC tumors.
Project description:Head and neck squamous cell carcinoma (HNSCC) is a heterogeneous disease whose underlying etiology has not been explained by traditional prognostic factors such as tumor site, stage, or histology. Although previous studies have shown that molecular subtypes of HNSCC exist, the benefit of such a classification scheme has not been fully realized. We show that molecular subtypes of HNSCC exist; that these subtypes have distinct patterns of chromosomal gain and loss, some of which affect canonical oncogenes and tumor suppressors; and that the subtypes are biologically and clinically relevant. These subtypes provide new insight into HNSCC etiology, as well as a valuable method for classifying HNSCC tumors. A total of 163 samples were considered. Quality control procedures were applied to microarray probe-level intensity files. A total of 138 tumor arrays remained after removing low-quality arrays, duplicate arrays, and arrays from non-HNSCC samples. The normexp background correction and loess normalization procedures were applied to the probe-level data. After log transformation, probes were matched to a common gene database to produce expression values for 15595 genes.
Project description:Monitoring of changes in the proteomic composition of extracellular vesicles produced by head and neck squamous cell carcinoma cells after exposure to agents affecting autophagic and lysosomal processes. LC-MS analysis of phosphatidylserine-positive budding EVs.
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).