Human sinonasal squamous cell carcinoma: Cell lines and corresponding primary tumors
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Mario Hermsen
PROVIDER: E-GEOD-57201 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Genomic profiling of human squamous cell carcinoma cell lines cells and corresponding primary tumors
2014-04-30 | GSE57201 | GEO
Project description:Long non-coding RNAs (lncRNAs) play important roles in various biological progresses of carcinogenesis. However, the function of lncRNAs in human sinonasal squamous cell carcinoma (SNSCC) remains greatly unclear. In the current study, lncRNA AC091729.7 expression was examined in SNSCC samples by using microarray.The human 8 × 60 K lncRNA array was produced by Arraystar Company (USA). Over 25,000 lncRNAs were gathered from the canonical data sources encompassing UCSC, NCBI RefSeq, RNAdb, and NRED.
2019-10-15 | GSE138809 | GEO
Project description:Lung cancers are a heterogeneous group of diseases with respect to biology and clinical behavior. So far, diagnosis and classification are based on histological morphology and immunohistological methods for discrimination between two main histologic groups: small cell lung cancer (SCLC) and non-small cell lung cancer which account for 20% and 80% of lung carcinomas, respectively. While SCLCs express properties of neuroendocrine cells, NSCLCs, which are divided into the three major subtypes adenocarcinoma, squamous cell carcinoma and dedifferentiated large cell carcinoma, show different characteristics such as the expression of certain keratins or production of mucin and lack neuroedocrine differentiation. The molecular pathogenesis of lung cancer involves the accumulation of genetic und epigenetic alterations including the activation of proto-oncogenes and inactivation of tumor suppressor genes which are different for lung cancer subgroups. The development of microarray technologies opened up the possibility to quantify the expression of a large number of genes simultaneously in a given sample. There are several recent reports on expression profiling on lung cancers but the analysis interpretation of the results might be difficult because of the heterogeneity of cellular components. A contamination of the tumor sample with normal epithelia, blood vessels, stromal cells, leucocytes and tumor necrosis may confound the true expression profile of the tumor. The use of laser capture microdissection (LCM) greatly improves the sample preparation for microarray expression analysis. Consequently, we used advanced technology including LCM and microarray analysis. In detail, we examined gene expression profiles of tumor cells from 29 previously untreated patients with lung cancer (10 adenocarcinomas (AC), 10 squamous cell carcinomas (SCC), 9 small cell lung cancer (SCLC)) in comparison to normal lung tissue (LT) of 5 control patients without tumor. Bronchoscopical biopsies from the primary lung tumor were taken before treatment. Biopsies were cut into 8µm sections and from each section cancer cells were isolated using laser capture microdissection in order to obtain pure samples of tumor cells. Total RNA was extracted, reversely transcribed, in-vitro transcribed, labelled and hybridized to the array. For expression analysis, microarrays covering 8793 defined genes (Human HG Focus Array, Affymetrix) were used. Following quality control, array data were normalized and analysed for significant differences using variance stabilizing transformation (VSN) and significance analysis of microarrays (SAM), respectively. Based on differentially expressed genes cancer samples could be clearly separated from non cancer samples using hierarchical clustering. Comparing AC, SCC and SCLC with normal lung tissue, we found 205, 335 and 404 genes, respectively, that were at least 2-fold differentially expressed with an estimated false discovery rate < 2.6%. Each histological subtype showed a distinct expression profile. Further, using a genetic programming approach we constructed a classificator to discriminate AC, SCC, NT and SCLC. To this end, the 50 genes with the greatest signal-to-noise ratio were selected to train the classificator. By leave-one-out cross validation all 34 samples were correctly classified in this training set. In order to validate the 50-gene-classificator on a test set, further 13 microdissected lung cancer samples were used and correctly classified in concordance to pathologic finding. In conclusion, the different lung cancer subtypes have distinct molecular phenotypes which reflect biological characteristics of the tumor cells and which might be the basis for development of targeted therapy. Moreover, gene expression profiling and genetic programming is a suitable tool for classification and discrimination of different histological subtypes in lung cancer in comparison to normal lung tissue. Experiment Overall Design: Comparison of gene expression profiles of normal lung tissues, adenocarcinomas, squamous cell carcinomas and small cell lung cancers.
2008-06-14 | E-GEOD-6044 | biostudies-arrayexpress
Project description:Non-small cell lung cancer (NSCLC), a leading cause of cancer deaths, represents a heterogeneous group of neoplasms, mostly comprising squamous cell carcinoma (SCC), adenocarcinoma (AC) and large-cell carcinoma (LCC). The aim of this study was to gain a systems biology insight into the current clinical classification. Patients and Methods: Comparative genomic hybridization followed by mutational analysis, gene expression and miRNA microarray profiling were performed on 123 paired tumor and non-tumor tissue samples from patients with NSCLC. Using integrated systems biology approaches, we sought to find out if combining data types from different levels of biology would improve clinical assessment of NSCLC. Results: At both DNA, RNA and miRNA levels we could identify molecular markers that discriminated significantly between the various clinicopathological entities of NSCLC. Conclusions: We report proofs of distinct molecular profiles that contribute to distinguishing NSCLC tumor subtypes even in small biopsies. The Gene expression experiments have been made in dual color and dye_swap with Agilent human Human Genome Exon 244K arrays (custom design 14891, from commercial 4x44K (design 014850 plus 195000 oligo - 1 per exon- defined with RefSeq hg18 and 1840 probes from viral transcripts). Note date of surgery is the date of the sample was frozen.
2013-12-11 | E-MTAB-1132 | biostudies-arrayexpress
Project description:For the purpose of analyzing mechanisms related to the cis-diamminedichloroplatinum (CDDP) resistance in head and neck squamous cell carcinoma (head and neck SCC), we employed a nasal squamous cell carcinoma (nasal SCC) cell line RPMI2650 and its CDDP resistant substrain RPMI2650CR previously described. The identification of the resistance-related microRNA (miR) clusters was conducted between RPMI2650CR and RPMI2650 using microRNA microarray.
2012-06-14 | GSE32176 | GEO
Project description:For the purpose of analyzing mechanisms related to the cis-diamminedichloroplatinum (CDDP) resistance in head and neck squamous cell carcinoma (head and neck SCC), we employed a nasal squamous cell carcinoma (nasal SCC) cell line RPMI2650 and its CDDP resistant substrain RPMI2650CR previously described. The identification of the resistance-related microRNA (miR) clusters was conducted between RPMI2650CR and RPMI2650 using microRNA microarray. microRNA expression of parental and CDDP resistant was measured with or without CDDP treatment in duplicate.
2012-06-13 | E-GEOD-32176 | biostudies-arrayexpress
Project description:To identify genes associated with lung cancer progression, we examined gene expression profiles of tumor cells from 20 patients with primary, untreated non-small cell lung cancer (10 adenocarcinomas (AC) and 10 squamous cell carcinomas (SCC)) in comparison to lung tissue of 23 patients with stage IIIB or stage IV non-small cell lung cancer (15 AC and 8 SCC). Bronchoscopical biopsies from patient with recurrent lung tumor were taken after initial treatment. Cancer cells were isolated using laser capture microdissection in order to obtain pure samples of tumor cells. For expression analysis, microarrays covering 8793 defined genes (Human HG Focus Array, Affymetrix) were used. Array data were normalized and analysed for significant differences using variance stabilizing transformation (VSN) and significance analysis of microarrays (SAM), respectively. Genes were considered to be up- or down-regulated when the ratio between primary and recurrent tumor samples were at least 1.5-fold differentially expressed with an estimated false discovery rate: < 5%. Based on differentially expressed genes, primary cancer samples could be separated from recurrent tumor samples. We identified 115 and 124 significantly regulates genes in AC and SCC, respectively. For example, in recurrent AC we found increased expression of genes related to the wingless (FZD6, RYK, MYC) and calcium (CALM1, ATB2B1, S100A2) signalling pathways which might play a role in metastasis of tumor cells. Other differentially expressed genes were related to cell cycle (CCND1, CDK2), transcription factors (TTF1, TAF2, YY1), nuclear mRNA splicing and mRNA processing (SFRS1, HNRPL), protein-nucleus import (NUTF2, KPNB1, NUP50) and chromatin modification (HIST1H4C, SMARCC1). In SCC, we found an increased expression of CTNNB1, an important mediator in wingless signalling pathway. Among the down-regulated genes in SCC, the utmost fraction belonged to genes coding for ubiquitin mediated proteolysis (UCHL1, PSMA3, COPS6) and ribosomal proteins (RPS26, RPL7A, RPS15). Other down regulated genes were related to transcription factors (TCEA2, TAF10), nuclear mRNA splicing and mRNA processing (SNRPD2, HNRPM). In conclusion, a distinct pattern of gene expression is found during the progression from primary carcinoma to recurrent NSCLC. Our microarray-based expression profiling revealed interesting novel candidate genes and pathways that may contribute to lung cancer progression. Experiment Overall Design: - 20 patients with primary, untreated non-small cell lung cancer (10adenocarcinomas (AC) and 10 squamous cell carcinomas (SCC)) in comparison to lung tissue of 23 patients with stage IIIB or stage IV non-small cell lung cancer (15 AC and 8 SCC) Experiment Overall Design: - Human HG Focus Array, Affymetrix) were used Experiment Overall Design: - Array data were normalized and analysed for significant differences using variance stabilizing transformation (VSN) and significance analysis of microarrays (SAM) Experiment Overall Design: - Genes were considered to be up- or down-regulated when the ratio between primary and recurrent tumor samples were at least 1.5-fold differentially expressed with an estimated false discovery rate: < 5%
2008-06-15 | E-GEOD-7880 | biostudies-arrayexpress
Project description:LncRNA Expression Profiling in sinonasal squamous cell carcinomas
| PRJNA577404 | ENA
Project description:Osteoblasts are key players in bone remodeling. The accessibility of human primary osteoblast-like cells (HOb) from bone explants render them a lucrative model for studying molecular physiology of bone turnover, discovery of novel anabolic therapeutics and mesenchymal cell biology in general. Relatively little is known about resting and dynamic expression profiles of HObs and no studies have been conducted to date to systematically assess the osteoblast transcriptome. The aim of this study was to characterize HObs and investigate signaling cascades and gene networks using genomewide expression profiling in resting and Bone Morphogenic Protein (BMP)-2 and Dexamethasone induced cells. Our data showed a vast number of genes and networks expressed predominantly in HObs as compared to closely related cells such as fibroblasts or chondrocytes. For instance, genes in the insulin-like growth factor (IGF) signaling pathway were enriched in HObs (p=0.003) and included the binding proteins (IGFBP1, 2, 5) and IGF-2 and its receptor. Another HOb specific expression pattern included leptin and its receptor (p<10-8). Furthermore, after stimulating HObs with Dexamethasone or BMP-2, the expression of several interesting genes and pathways were observed where data supported the role of peripheral leptin signaling in bone cell function. In conclusion, we provide the landscape of tissue-specific and dynamic gene expression in HObs, a resource, which will allow utilization of osteoblasts as a model to study specific gene networks and gene families related to human bone physiology and diseases. Experiment Overall Design: Human trabecular bone from the proximal femoral shaft was collected from two male patients, both undergoing total hip replacement. The bone chips were minced thoroughly and washed with PBS and cultured in three biological replicates in cell medium containing alpha-MEM supplemented with 2 mmol/l L-Glutamine, 100U/mL penicillin, 100mg/mL streptomycin, and 10% fetal bovine serum and grown at 37 degreeC with 5% CO2 until confluence. At 70-80% confluence, each replicate was trypsinized and sub-cultured in 6-well plates (100 000 cells/well) for 12 days. Prior to treatment, the cells were starved for 20h by adding complete cell medium containing 0.5% fetal bovine serum. The cells were then incubated for 2h and 24h with 10-7 M of dexamethasone and 10-4 mg/ml of rhBMP-2 with the same concentration of vehicle, respectively. Experiment Overall Design: At the two time points, the cell medium was removed and the cells were harvested stored in -70 degreeC until RNA extraction. Experiment Overall Design: RNA was isolated from the cell lysates using the RNeasy Mini Kit and Experiment Overall Design: expression studies were performed in triplicate (biological replicates) using the Affymetrix Human Genome U133 plus 2.0 Array (Affymetrix, Santa Clara, CA, USA). One microgram of RNA was reverse transcribed into cDNA and in vitro transcription was performed to generate biotin-labeled cRNA for subsequent hybridization. Hybridized target cRNA was then stained with streptavidin phycoerythrin, and arrays were scanned using a GeneArray Scanner at an excitation wavelength of 488nm.
2008-06-11 | E-GEOD-10311 | biostudies-arrayexpress
Project description:We present the first computational approach to reconstruct the sequence of copy number alterations driving carcinogenesis from the analysis of several tumor samples of a same patient. Applied to BAC array-CGH and SNP array data from bladder and breast cancers, this method proved highly valuable to establish the clonal relationships between primary tumors and recurrences and to identify the chromosome aberrations at the initiation of tumorigenesis. Keywords: Comparative Genomic Hybridization An algorithm was developed to reconstruct tumors lineage and the sequence of copy number alterations along tumorigenesis from the analysis of several samples from a same patient. The data here consist in CGH data from 58 bladder tumors. 50 of these tumors come from independent samples and were used to compute the frequencies of breakpoints at each location. The 8 other samples (S1_A, S1_B, S2_A, S2_B, S3_A, S3_B, S3_C and S3_D) are multiple tumors from 3 patients. They were used to reconstruct the sequence of chromosome aberrations along cancer development in these 3 patients.
2010-05-19 | E-GEOD-19193 | biostudies-arrayexpress