General characterization of HNSCC cell lines
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE84557 | GEO | 2017/10/03
SECONDARY ACCESSION(S): PRJNA342779
REPOSITORIES: GEO
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Project description:The methylation analysis of HPV+ HNSCC cell lines and HPV- HNSCC cell lines as well as clones from an infected HPV- cell line by Infinium HumanMethylation450 BeadChip Analysis of 24 450k methylation profiles, comprising 3 HPV+ HNSCC cell lines and 3 HPV- HNSCC cell lines (in duplicate each) and 12 infected HPV- HNSCC cell line clones
2012-11-30 | E-GEOD-38270 | biostudies-arrayexpress
Project description:The methylation analysis of HPV+ HNSCC cell lines and HPV- HNSCC cell lines as well as clones from an infected HPV- cell line by Infinium HumanMethylation450 BeadChip
2012-11-30 | GSE38270 | GEO
Project description:Chromosomal comparative genomic hybridization (CGH) and oligonucleotide microarrays were used to examine 8 HNSCC cell lines and a plot of gene expression levels relative to their position on the chromosome was produced. Three highly up-regulated genes, NT5C3, ANLN and INHBA, were identified on chromosome 7p14. These genes were subjected to quantitative real-time RT-PCR on cDNA and genomic DNA derived from 8 HNSCC cell lines. ANLN and INHBA showed a strong positive correlation between mRNA expression and genomic DNA levels and a similar relationship was shown for the known oncogene, EGFR, at 7p11.2. In clinical samples, ANLN and INHBA showed a significantly higher expression in tumors than in normal tissues. Patients with high expression levels of INHBA had a shorter disease-free survival rate. Therefore, INHBA may be a promising prognostic marker of HNSCC. Keywords: Identification of molecular targets based on genome-wide gene expression profiling
2007-03-01 | GSE7073 | GEO
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
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:Gene expression analysis of primary HNSCC cell lines and their corresponding gefitinib resistant cell lines
2021-02-08 | GSE157374 | GEO
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: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:Analysis of EHF Regulated Network in HNSCC Cell Lines
| PRJNA706713 | ENA
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