Genomic copy number variation in head and neck squamous cell carcinoma cell lines
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE127231 | GEO | 2019/02/27
REPOSITORIES: GEO
Similar Datasets
Project description:Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer world wide, and survival rates range from 40-80% depending on subsite. As novel treatment strategies are investigated, comprehensively characterized cell lines representative of the diversity seen in patients will be crucial to correlating genetic and phenotypic features with therapeutic response. The University of Michigan has generated a large panel of HNSCC cell lines that are utilized in laboratories worldwide. Here, we provide transcriptome sequencing of 36 of these cell lines in addition to 5 HNSCC lines derived elsewhere to inform selection of model systems for future studies.
2019-02-26 | GSE126975 | GEO
Project description:Gene expression profiles of human HNSCC lines were compared with human normal keratinocytes by 24K cDNA microarray. The ten HNSCC analyzed are derived by the University of Michigan (UM-SCC), representing late stage SCC of different anatomic sites. Principle component analysis and hierarchical gene clustering classified ten cancer cell lines into two subsets, and associated each of the subsets with a distinctive p53 status. Keywords: Gene expression array-based
2008-03-11 | GSE10774 | GEO
Project description:To identify the activated tyrosine kinase signaling pathways in HNSCC, we carried out phosphotyrosine profiling using a panel of HNSCC cell lines compared to a normal oral keratinocyte. A total of 61 unique phosphosites were identified across these cell lines. Dual-specificity tyrosine-(Y)-phosphorylation regulated kinase 1A (DYRK1A) was one of the kinases hyperphosphorylated at Y321 in all the HNSCC cell lines compared to the normal oral cell line OKF6/TERT1. Inhibition of DYRK1A using its specific siRNA and inhibitor resulted in a decrease in the invasion and colony formation ability of the HNSCC cell lines. Further, the treatment of mice bearing HNSCC xenograft tumors with DYRK1A inhibitor (harmine) showed regression of tumor growth. Our results demonstrate that DYRK1A could be a novel therapeutic target in HNSCC.
2018-10-24 | PXD002132 | Pride
Project description:<p>Head and neck squamous cell carcinoma (HNSCC) is the sixth leading cancer by incidence worldwide(1). Various chemical carcinogens (tobacco, alcohol and betel nut), human papillomavirus (HPV) infection, and genetic predisposition contribute to the etiology of HNSCC, and to the complex genetic alterations in tumor subsets that differ in prognosis and response to therapies (2).</p> <p>Recently, a comprehensive landscape of genomic and transcriptomic alterations in HNSCC tumors has emerged from The Cancer Genome Atlas (TCGA) Network (3). TCGA revealed novel and previously recognized gene and chromosomal region copy number alterations (CNAs), mutations, and expression clusters, and defined their frequency, co-occurrence, and relationship to common and rare subtypes of HPV(-) and (+) tumors that vary in prognosis. To identify cell line models for determining the functional role and therapeutic importance of these alterations, we are performing whole exome and RNA sequencing and bioinformatic analysis of an expanded panel of 15 HPV(-) and 11 HPV(+) HNSCC cell lines and primary oral keratinocytes.</p> <p>We find that the recurrent genomic alterations in cell lines are remarkably consistent with those found in more aggressive tumors, from which cell lines have traditionally been most readily adapted to culture (4). Genome-wide correlation of CN (copy number) with expression identified a suite of potential drivers or modifier genes that differ by HPV status, and are of potential biologic and therapeutic relevance. Further, our findings elucidate and validate genomic alterations underpinning numerous discoveries made with these widely-used and recently derived HNSCC lines, and provide a roadmap for their potential use as models for future studies of tumor subtypes with worse prognosis.</p> <p>References</p> <p> <ol> <li>Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65(2):87-108.</li> <li>Van Waes C, Musbahi O. Genomics and advances towards precision medicine for head and neck squamous cell carcinoma. Laryngoscope Investig Otolaryngol. 2017;2(5):310-9.</li> <li>Cancer Genome Atlas N. Comprehensive genomic characterization of head and neck squamous cell carcinomas. Nature. 2015;517(7536):576-82.</li> <li>White JS, Weissfeld JL, Ragin CC, Rossie KM, Martin CL, Shuster M, et al. The influence of clinical and demographic risk factors on the establishment of head and neck squamous cell carcinoma cell lines. Oral Oncol. 2007;43(7):701-12.</li> </ol> </p>
| phs001581 | dbGaP
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.
2018-09-19 | PXD009241 | Pride
Project description:Gene expression analysis of p63 knockdown in 2 HPV+ HNSCC cell lines using RNA-seq, Genomic profiling of p63 binding across 2 HPV+ HNSCC cell lines, Epigenomic landscape of 2 HPV+ HNSCC cell lines
2022-04-19 | GSE182133 | GEO
Project description:Aberrant activation of splicing regulators contributes to oncogenic transformation of cells by modulating the alternative splicing events of key oncogenes. Phosphorylation of splicing factors affects subcellular localization and activity of these proteins. Studies have shown a close association between altered phosphorylation of molecules involved in splicing machinery and cancer. We carried out proteomic and phosphoproteomic analysis of head and neck squamous cell carcinoma (HNSCC) cell lines using tandem mass tag (TMT) labeling approach followed by titanium dioxide-based phosphopeptides enrichment method. LC-MS/MS analysis resulted in the identification of 4,920 phosphosites corresponding to 2,288 proteins in six HNSCC cell lines compared to a normal oral cell line; OKF6/TERT1. Among the proteins identified, 23 kinases were found to be hyperphosphorylated in all HNSCC cell lines compared to the normal oral cell line.
2018-10-24 | PXD001862 | Pride
Project description:Head and Neck Squamous Cell Carcinoma (HNSCC) is a disease of significant morbidity and mortality ranked as the sixth leading cause of cancer worldwide rarely diagnosed in early stages. Despite extensive genetic research, development of therapeutics and diagnostic markers has been limited due to the extensive heterogeneity and complexity of the disease. Herein, we generated a comprehensive understanding of the transcriptional regulatory aberrations in HNSCC based on the epigenomic and transcriptomic study of the mesenchymal cell line SCC25. Our findings support a fundamental role for the transcription factor Krüppel-like Factor 4 (KLF4) in HNSCC, through its binding to differential active regulatory elements, the majority of which are super-enhancers, and the transcriptional upregulation of key HNSCC cancer genes. Upregulation of these targets often realizes with the concurrent action of TP63 or ERG. Approximately 70% of the activated targets bear a simultaneous loss of the H3K27me3 histone repressive mark and are confirmed EZH2 targets in healthy states, corroborating the tumor suppressor role of the Polycomb Repressive Complex 2 in head and neck cancers. Our current results lead us to propose a model where the upregulation and binding of KLF4 activates the HNSCC state, by re-activating repressed chromatin domains at key genes via super-enhancers.
2019-09-06 | GSE103554 | GEO
Project description:The involvement of microRNAs (miRNAs) in cancer and their potential as biomarkers of diagnosis, prognosis and response to therapy is becoming increasingly appreciated. The etiology of head and neck squamous cell carcinoma (HNSCC) is predominantly associated with the synergistic effects of tobacco and alcohol use, as well as Human Papilloma Virus (HPV) infection, which embodies a distinct clinical and biological phenotype. We sought to examine whether the profile of miRNAs in HNSCC varies based on HPV status, and to identify specific miRNAs altered in head and neck carcinogenesis. Total RNA was isolated from 16 HNSCC fresh frozen primary tumors, 5 fresh frozen non-diseased head and neck epithelial tissues, and 2 HNSCC cell lines. The miRNA profile of 662 individual miRNAs in these tissues was examined by microarray. 18 miRNAs are significantly altered in their expression between normal tissues and HNSCC tumors and 5 miRNAs are identified as significantly differentially expressed between HPV-positive (HPV+) and HPV-negative (HPV-) tumors. A striking difference in expression pattern of miRNA was also observed between primary tissues and cell lines. These data suggest that the pattern of miRNA expression may be reflective of disease etiology, and may be useful in the realm of diagnostic biomarkers defining broadly responsive prevention and treatment strategies for HNSCC. These data also suggest that cultured tumor cell lines may be inappropriate for novel miRNA biomarker identification. Keywords: miRNA; Disease-state analysis Expression of 662 individual miRNA was assessed in16 HNSCC fresh frozen primary tumors, 5 fresh frozen non-diseased head and neck epithelial tissues, and 2 HNSCC cell lines were arrayed
2010-05-19 | E-GEOD-11163 | biostudies-arrayexpress
Project description:Human cancer cell lines are the most frequently used preclinical models in the study of cancer biology and the development of therapeutics. Although anatomically diverse, human papillomavirus (HPV)-driven cancers have a common etiology and similar mutations that overlap with but are distinct from those found in HPV-negative cancers. Building on prior studies that have characterized subsets of head and neck squamous cell carcinoma (HNSCC) and cervical squamous cell carcinoma (CESC) cell lines separately, we performed genomic, viral gene expression, and viral integration analyses on 74 cell lines that include all readily-available HPV-positive (9 HNSCC, 8 CESC) and CESC (8 HPV-positive, 2 HPV-negative) cell lines and 55 HPV-negative HNSCC cell lines. We used over 700 human tumors for comparison. Mutation patterns in the cell lines were similar to those of human tumors. We confirmed HPV viral protein and mRNA expression in the HPV-positive cell lines. We found HPV types in three CESC cell lines that are distinct from those previously reported. We found that cell lines and tumors had similar patterns of viral gene expression; there were few sites of recurrent HPV integration. As seen in tumors, HPV integration did appear to alter host gene expression in cell lines. The HPV-positive cell lines had higher levels of p16 and lower levels of Rb protein expression than did the HPV-negative lines. Although the number of HPV-positive cell lines is limited, our results suggest that these cell lines represent suitable models for studying HNSCC and CESC, both of which are common and lethal.
2018-11-15 | GSE122512 | GEO