Normal Oral Transcriptome
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE8127 | GEO | 2008/11/22
SECONDARY ACCESSION(S): PRJNA101009
REPOSITORIES: GEO
Similar Datasets
Project description:Three SAGE libraries brushed from the surface of the tongue and three SAGE libraries extracted from oral biopsies define the normal oral transcriptome. Keywords: SAGE, normal oral Six SAGE libraries isolated from the oral cavity were used to define the oral transcriptome.
2008-11-21 | E-GEOD-8127 | biostudies-arrayexpress
Project description:This study aims to compare the global expression signature of protein coding genes between oral cancers from carcinogen-induced mice and human patients. Combinatorial treatment of 4NQO and arecoline for 8 weeks consistently induced the formation of mouse oral cancer with morphology and pathology resembling human oral squamous cell carcinoma. In this dataset, 5 mouse normal tongue and 7 tumor samples were used and Illumina Mouse Ref-8 cDNA microarray was conducted. To identify protein coding genes differentially expressed in mice oral cancers, 7 tumor tissues from carcinogen-treated mice and 5 normal tongue tissues from control mice were used in a microarray-based analysis for protein-coding gene expression patterns.
2015-12-17 | E-GEOD-64271 | biostudies-arrayexpress
Project description:Background: The present study is aimed at identifying potential candidate genes as prognostic markers in human oral tongue squamous cell carcinoma (SCC) by large scale gene expression profiling. Methods: The gene expression profile of patients (n=37) with oral tongue SCC were analyzed using Affymetrix HG_U95Av2 high-density oligonucleotide arrays. Hierarchical clustering analyses failed to show significant segregation of patients. In patients (n=20) with available tumor and matched normal mucosa, 77 genes were found to be differentially expressed (P< 0.05) in the tongue tumor samples compared to their matched normal controls. Among the 45 over-expressed genes, MMP-1 encoding interstitial collagenase showed the highest level of increase (average: 34.18 folds). The 20 patients were then grouped into stage (early vs. late) and nodal disease (node positive vs. node negative) subgroups and genes differentially expressed in tumor vs. normal and between the subgroups were identified. Three genes, GLUT3, HSAL2, and PACE4, were selected for their potential biological significance in a larger cohort of 49 patients by quantitative real-time RT-PCR. Results: Using the criterion of two-fold or greater as overexpression, 30.6%, 24.5% and 26.5% of patients showed high levels of GLUT3, HSAL2 and PACE4, respectively. Univariate analyses demonstrated that GLUT3 over-expression correlated with depth of invasion (P<0.0001), tumor size (P=0.024), pathological stage (P=0.009) and recurrence (P=0.038). HSAL2 was positively associated with depth of invasion (P=0.015) and advanced T stage (P=0.0467). In survival studies, only GLUT3 showed a prognostic value with disease-specific (P=0.049), relapse-free (P-0.0042) and overall survival (P=0.003). PACE4 mRNA expression failed to show correlation with any of the relevant parameters. Conclusions: The characterization of genes identified to be significant predictors of prognosis by oligonucleotide microarray and further validation by real-time RT-PCR offers a powerful strategy for identification of novel targets for prognostication and treatment of oral tongue carcinoma. Keywords: gene expression profiling The gene expression profile of patients (n=37) with oral tongue SCC were analyzed using Affymetrix HG_U95Av2 high-density oligonucleotide arrays. Hierarchical clustering analyses failed to show significant segregation of patients. In patients (n=20) with available tumor and matched normal mucosa, 77 genes were found to be differentially expressed (P< 0.05) in the tongue tumor samples compared to their matched normal controls. Among the 45 over-expressed genes, MMP-1 encoding interstitial collagenase showed the highest level of increase (average: 34.18 folds). The 20 patients were then grouped into stage (early vs. late) and nodal disease (node positive vs. node negative) subgroups and genes differentially expressed in tumor vs. normal and between the subgroups were identified. Three genes, GLUT3, HSAL2, and PACE4, were selected for their potential biological significance in a larger cohort of 49 patients by quantitative real-time RT-PCR
2008-11-14 | E-GEOD-13601 | biostudies-arrayexpress
Project description:Gene expression profiles of oral tongue squamous cell carcinoma tissues. Keywords: human tongue cancer, brachytherapy, biopsy sample, primary tissues
2007-03-28 | GSE4676 | GEO
Project description:In order to identify aberrantly expressed microRNAs in oral squamous cell carcinomas (OSCCs), we have employed microRNA microarray profile using healthy tongue samples as control. All seventeen human OSCCs and three normal tongue tissues were collected from the Tissue Bank at the Moffitt Cancer Center and approved by the University of Florida institutional review board. Majority (15 out of 17) of the OSCCs were derived from tongue cancers. The tumor samples contained greater than 80% of cancerous cells, confirmed by microscopic examination by a head and neck pathologist. The normal tongues were taken from a non-cancerous region. Tissues were snap-frozen and stored at -80M-BM-0C until further use. Total RNAs were isolated from human tissues using mirVana miRNA Isolation kit (Ambion/Applied Biosystems, Austin, TX) according to the manufacturerM-bM-^@M-^Ys instruction. NanoDropM-BM-. ND-100 spectrophotometer (Thermo Scientific, Wilmington, DE) was used to quantify the isolated RNA. The Agilent 2100 Bioanalyzer from the Interdisciplinary Center for Biotechnology Research at the University of Florida was used to detect the size distribution of total RNA and to determine the quality as well. Expression of microRNAs from this signature was quantified in the same RNA samples by real-time PCR, confirming the expression pattern. Human tissues of oral squamous cell carcinoma and healthy normal tongues were used for microRNA microarray profile to identify aberrantly expressed microRNAs in oral squamous cell carcinomas.
2012-09-05 | E-GEOD-28100 | biostudies-arrayexpress
Project description:Samples were prospectively collected from patients with histologically normal surgical resection margins. 96 tissue samples (histologically normal margins, oral carcinoma and adjacent normal tissues) from 24 patients comprised the training set. Our study design was guided by the hypothesis that the expression of genes present in oral squamous cell carcinoma (OSCC) but not in healthy oral tissues would be indicative of recurrence in advance of histological alteration. We used meta-analysis of five published microarray data sets (GEO accession GDS2520, Kuriakose et al. 2004; GDS1584, Toruner et al. 2004; GSE6791, Pyeon et al. 2007; GSE9844, Ye et al. 2008; and GSE10121, Sticht et al. 2008), in conjunction with the current training set, to identify genes reliably over-expressed in OSCC. This reduced gene set was used to train a risk model to predict recurrence based on over-expression of a subset of these genes in histologically normal surgical resection margins. Validation of the risk signature was performed using quantitative real-time reverse-transcription PCR in an independent set of 136 samples from an independent cohort of 30 patients. This was a case-only design involving a training set of 23 tumors and 73 margins from 24 patients with squamous cell carcinoma of the tongue.
2011-08-02 | E-GEOD-31056 | biostudies-arrayexpress
Project description:Six oral mucous biopsies from untreated patients with oral lichen planus (OLP) and six normal oral mucous tissues from healthy patients were used for circRNA sequencing. 135 circRNAs with 2-fold differential expression were identified in OLP compared with normal control, including 83 upregulated circRNAs and 52 downregulated circRNAs. Ten selected circRNAs were validated by real-time qPCR
2022-05-21 | GSE131567 | GEO
Project description:Background: The present study is aimed at identifying potential candidate genes as prognostic markers in human oral tongue squamous cell carcinoma (SCC) by large scale gene expression profiling. Methods: The gene expression profile of patients (n=37) with oral tongue SCC were analyzed using Affymetrix HG_U95Av2 high-density oligonucleotide arrays. Hierarchical clustering analyses failed to show significant segregation of patients. In patients (n=20) with available tumor and matched normal mucosa, 77 genes were found to be differentially expressed (P< 0.05) in the tongue tumor samples compared to their matched normal controls. Among the 45 over-expressed genes, MMP-1 encoding interstitial collagenase showed the highest level of increase (average: 34.18 folds). The 20 patients were then grouped into stage (early vs. late) and nodal disease (node positive vs. node negative) subgroups and genes differentially expressed in tumor vs. normal and between the subgroups were identified. Three genes, GLUT3, HSAL2, and PACE4, were selected for their potential biological significance in a larger cohort of 49 patients by quantitative real-time RT-PCR. Results: Using the criterion of two-fold or greater as overexpression, 30.6%, 24.5% and 26.5% of patients showed high levels of GLUT3, HSAL2 and PACE4, respectively. Univariate analyses demonstrated that GLUT3 over-expression correlated with depth of invasion (P<0.0001), tumor size (P=0.024), pathological stage (P=0.009) and recurrence (P=0.038). HSAL2 was positively associated with depth of invasion (P=0.015) and advanced T stage (P=0.0467). In survival studies, only GLUT3 showed a prognostic value with disease-specific (P=0.049), relapse-free (P-0.0042) and overall survival (P=0.003). PACE4 mRNA expression failed to show correlation with any of the relevant parameters. Conclusions: The characterization of genes identified to be significant predictors of prognosis by oligonucleotide microarray and further validation by real-time RT-PCR offers a powerful strategy for identification of novel targets for prognostication and treatment of oral tongue carcinoma. Keywords: gene expression profiling
2008-11-14 | GSE13601 | GEO
Project description:Epigenome analysis of normal oral keratinocytes cells and oral squamous cell carcinoma (OSCC) cells
2024-05-29 | GSE262310 | GEO