Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Integrated, genome-wide screening for hypomethylated oncogenes in salivary gland adenoid cystic carcinoma

ABSTRACT: Salivary gland adenoid cystic carcinoma (ACC) is a rare malignancy amongst head and neck tumors that is poorly understood on a molecular level. We sought to perform a comprehensive approach for novel oncogene candidate screening under the control of promoter methylation in order to learn more about the molecular basis of this unusual disease. We performed global demethylation of normal salivary gland cell strains using 5-aza-deoxycytidine (5-Aza dC) and trichostatin (TSA). Expression arrays were performed, and the profiles of treated and untreated cells compared. We then used expression microarray analysis of primary ACC and normal salivary gland samples to generate ACC-specific expression profiling. Next, we integrated the two profiles to identify a subset of genes for further validation of decreased methylation in the promoter region in ACC vs normals. Finally, only genes that showed decreased methylation in ACC compared to normal were further validated for mRNA, protein, and promoter methylation levels in a larger ACC cohort.

ORGANISM(S): Homo sapiens

SUBMITTER: chunbo shao

PROVIDER: E-GEOD-25746 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Silencing of tumor suppressor genes plays a vital role in head and neck carcinogenesis. Aberrant hypermethylation in the promoter region of some known or putative tumor suppressor genes (TSGs) occurs frequently during the development of various cancers including head and neck squamous cell carcinoma (HNSCC). In this study we used an expanded mRNA expression profiling approach followed by microarray expression analysis to identify epigenetically inactivated genes in HNSCC. Two HNSCC cell lines were treated with 5-aza-2M-bM-^@M-^Y-deoxycytidine followed by microarray analysis to identify epigenetically silenced genes in HNSCC. 1960, 614, and 427 genes were upregulated in HNSCC cell lines JHU-012, JHU-011 and the combination of both cell lines, respectively. HNSCC tumor and normal mucosal samples were used for gene profiling by a 47K mRNA gene expression array and we found, 7140 genes were downregulated in HNSCC tumors compared to normal mucosa as determined by microarray analysis and were integrated with cell line data. Integrative analysis defined 126 candidate genes, of which only seven genes showed differentially methylation in tumors and no methylation in normal mucosa after bisulfite sequencing. After validation by QMSP, one gene, GNG7, was confirmed as being highly methylated in tumors and unmethylated in normal mucosal and salivary rinse samples demonstrating cancer-specific methylation in HNSCC tissues. TXNIP and TUSC2 were partially methylated in tumors and normal salivary rinses but unmethylated in normal mucosa. We concluded GNG7 as a highly specific promoter methylated gene associated with HNSCC. In addition, TXNIP and TUSC2 are also potential biomarkers for HNSCC. We performed pharmacological unmasking analysis on two HNSCC cancer cell lines JHU-O11 and JHU-O12 by treating cells with or without 5-aza-dC, followed by RNA extraction and microarray analysis using Affymetrix U133 Plus 2.0. The array data were analyzed by initially dChip and then SAM. We performed a four-phase strategy to obtain the unmasked genes in the cells treated with 5-aza and downregulated genes in primary tumors. In the first phase, we compared the cell lines, either JHU-012 or JHU-011, before treatment to the cell lines treated with 5-aza, in order to identify genes that were reexpressed M-bM-^IM-% 2 fold. We found 1960 genes that were upregulated by 5-aza-dC in JHU-O12 cell line. SAM output was obtained at a delta value of 2.05 with a false discovery rate (FDR) of 10% and the d-score cut-off was 1.17. 614 reexpressed genes were found in 5 aza-treated JHU-O11 (SAM output; delta: 2.089, FDR%: 10, d-score cut-off: 2.8). 427 genes were commonly upregulated in both cell lines when the cell lines were normalized and analyzed together (SAM output; delta: 1.44, FDR%: 10, d-score cut-off: 1.88). In the second phase of our analysis, we further extracted RNA and performed the 47K mRNA expression array analysis on 13 primary HNSCC tumors samples and 5 normal mucosa samples from non-cancer control patients. After initial dChip and SAM analysis (SAM output; delta: 1.247, FDR%: 5.24, d-score cut-off:0.24), we found 7140 downregulated genes in primary HNSCC tumors compared with normal mucosa. In the third phase, we investigated these three data sets: a) SAM output of 1960 upregulated genes after 5-aza treatment of JHU-012 vs SAM output of 7140 downregulated genes in primary HNSCC: We found that 210 genes that were upregulated by 5-aza-dC in the JHU-O12 cell line and showed downregulation in tumor samples, b) SAM output of 614 upregulated genes after 5-aza treatment of JHU-011 vs SAM output of 7140 downregulated genes in primary HNSCC: We found 79 genes that were upregulated by 5-aza-dC in the JHU-O11 cell line and showed downregulation in tumor samples, c) SAM output from analyzing both cell lines together in the same SAM computation, of 427 upregulated genes after 5-aza treatment of JHU-011 and JHU-012 vs SAM output of 7140 downregulated genes in primary HNSCC: We found 44 genes that were upregulated by 5-aza-dC in JHU-O11 and JHU-012 cell lines and showed downregulation in tumor samples, suggesting that methylation might be involved in gene downregulation. In the fourth phase of our strategy, we rank-ordered the results of upregulated genes obtained from these 3 data sets and found 126 common genes. We then examined promoter regions of the 126 genes for CpG islands and performed bisulfite sequencing analysis of the promoter region of these genes. We found that 7 genes showed a differential methylation pattern between normal and neoplastic samples. After validation of these genes in a cohort of 33 HNSCC patients and normal salivary and mucosal samples from healthy people by QMSP, we found 3 genes of interest.

Project description:Expression profiling the response to inhibition of DNA methylation and histone deacetylation. Comparison of expression in HepG2 cells treated with 5-aza-dC, Trichostatin A, both, or none (control) to change methylation and acetylation status. Backgroubd: DNA methylation and histone deacetylation are epigenetic mechanisms that play major roles in eukaryotic gene regulation. We hypothesize that many genes in the human hepatoma cell line HepG2 are regulated by DNA methylation and histone deacetylation. Treatment with 5-aza-2'-deoxycytidine (5-aza-dC) to inhibit DNA methylation with and/or Trichostatin A (TSA) to inhibit histone deacetylation should allow us to identify genes that are regulated epigenetically in hepatoma cells. RESULTS: 5-aza-dC had a much larger effect on gene expression in HepG2 cells than did TSA, as measured using Affymetrix HG-U133 Plus 2.0 microarrays. The expression of 1504 probe sets was affected by 5-aza-dC (at p < 0.01), 535 probe sets by TSA, and 1929 probe sets by the combination of 5-aza-dC and TSA. 5-aza-dC treatment turned on the expression of 211 probe sets that were not detectably expressed in its absence. Expression of imprinted genes regulated by DNA methylation, such as H19 and NNAT, was turned on or greatly increased in response to 5-aza-dC. Genes involved in liver processes such as xenobiotic metabolism (CYP3A4, CYP3A5, and CYP3A7) and steroid biosynthesis (CYP17A1 and CYP19A1), and genes encoding CCAAT element-binding proteins (C/EBPalpha, C/EBPbeta, and C/EBPgamma) were affected by 5-aza-dC or the combination. Many of the genes that fall within these groups are also expressed in the developing fetal liver and adult liver. Quantitative real-time RT-PCR assays confirmed selected gene expression changes seen in microarray analyses. CONCLUSION: Epigenetics play a role in regulating the expression of several genes involved in essential liver processes such as xenobiotic metabolism and steroid biosynthesis in HepG2 cells. Many genes whose expression is normally silenced in these hepatoma cells were re-expressed by 5-aza-dC treatment. DNA methylation may be a factor in restricting the expression of fetal genes during liver development and in shutting down expression in hepatoma cells

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Integrated, genome-wide screening for hypomethylated oncogenes in salivary gland adenoid cystic carcinoma

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