Identification of epigenetically silenced RYR2 by DNA methylation profiling in head and neck cancer squamous cell carcinoma
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Christian schwager
PROVIDER: E-MTAB-7468 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:RYR2 promoter methylation and its impact on RYR2 gene expression was investigated in a cohort of patients with head and neck squamous cell carcinoma. The results suggest that impaired RYR2 function is a common event in HNSCC pathogenesis.
2021-06-11 | E-MTAB-7478 | biostudies-arrayexpress
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.
2014-05-01 | E-GEOD-29330 | biostudies-arrayexpress
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-2’-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.
2014-05-01 | GSE29330 | GEO
Project description:This study represents a proteomic resource for HNSCC and SQCLC with quantitative protein expression data for 7800 proteins and provides a proteomic diagnostic signature for classification for undetermined secondary lung tumors in HNSCC patients. By quantitative mass-spectrometry-based proteomics, we characterized a cohort of 63 squamous cell carcinomas of the lung (SQCLC), 49 of the head and neck region (HNSCC) and 51 HNSCC-correlated lung tumors with squamous cell histology that evolved in the course of the disease.
2018-08-06 | PXD007705 | Pride
Project description:Marginal zone B-cell lymphomas (MZL) have been divided into three distinct subtypes (extranodal MZL of MALT type, nodal MZL; splenic MZL). Nevertheless, the relationship between them is still unclear. We performed a comprehensive analysis of genomic DNA copy number changes in a very large series of MZL cases with the aim of addressing this question. Samples from 218 MZL patients (25 nodal, 57 MALT, 134 splenic and two not better specified MZL) were analyzed with the Affymetrix Human Mapping 250K SNP arrays, and the data combined with matched gene expression in 33/218 cases. MALT lymphoma presented significantly more frequently gains at 3p, 6p, 18p and del(6q23) (TNFAIP3/A20), whilst splenic MZL was associated with del(7q31), del(8p). Nodal MZL did not show statistically significant differences when compared with MALT lymphoma while lacked the splenic MZL-related 7q losses. Gains of 3q and 18q gains were common to all three subtypes. Del(8p) was often present together with del(17p) (TP53). While del(17p) did not determine a worse outcome and del(8p) was only of borderline significance, the presence of both deletions had a highly significant negative impact on the outcome of splenic MZL. Copy number analysis of Affymetrix 250K Nsp SNP arrays was performed for a total of 218 MZL samples were analyzed by high resolution genome wide-DNA profiling: 57 MALT lymphoma, 134 splenic MZL, 25 nodal MZL and two MZL where allocation to a specific category was not possible.
2011-02-01 | E-GEOD-24881 | biostudies-arrayexpress
Project description:ABSTRACT Two major subgroups of head and neck squamous cell carcinomas (HNSCC) are currently distinguished based on etiology and pattern of genetic alterations; tumors with biologically active human papillomavirus (HPV) and tumors without. It is at present unclear whether additional genetically distinct subgroups exist within HPV-negative HNSCC. Aim of this study is to genetically classify HNSCC without HPV involvement and to correlate the genetically defined classes to tumor and patient characteristics. By means of array comparative genomic hybridization (aCGH) we determined DNA copy number variation in thirty-nine HPV-negative, but further unselected HNSCC. Unsupervised analysis of aCGH data distinguished two genetic groups in HPV-negative HNSCC, one characterized by a low level of chromosomal alterations (N=9), and another by a high level of chromosomal alterations (N=30). Absence of chromosomal aberrations was significantly associated with wild-type TP53, a low level of alcohol consumption, a female gender and a better prognosis. The tumors were negative for microsatellite instability. The discovery of this new class of HNSCC with unique genetic and clinical characteristics has important consequences for future basic and clinical studies. All DNAs are isolated from fresh frozen HNSCC specimen. All tissue specimens were microdissected to obtain at least 90% tumor DNA. All sampels are hybridized against a pool of reference DNA of normal individuals of the opposite gender.
2009-03-11 | E-GEOD-11929 | biostudies-arrayexpress
Project description:Proliferation, dedifferentiation, loss of cell-cell contacts and angiogenesis are among the first steps of the metastasis cascade. The complex molecular pathways associated with these events in canine mammary tumors are mostly unknown and the value of this spontaneous canine tumor as a comparative model for human breast cancer is therefore still under debate. Messenger RNA profiles of lymph-node positive canine mammary carcinomas and normal mammary glands of the same dogs were compared by microarray analysis to elucidate molecular pathways associated with metastatic progression. Differential gene expression was analyzed by gene set enrichment and pathway analysis and compared with the gene expression data of human breast cancer. Metastatic canine carcinomas had 1,312 significantly differentially expressed genes when compared to the corresponding normal mammary gland. This expression profile included a significantly increased expression of cell division and extracellular matrix invasion genes (MMP1, MMP11, MMP13, SERPINE1, TFPI2, TIMP3). In contrast, genes associated with epithelial differentiation (EGF, EGFR, KRT17, MAP2K6, STAT5), cell adhesion (CLDN5, CLDN8, CTNNAL1, MCAM, MUC1, PECAM1) and angiogenesis (ANGPT2, ANGPTL1, ANGPTL2, ANGPTL4, FGFR1, FIGF, TIE1) were mostly down-regulated. Interestingly, tumors had a significant decrease in membrane receptors and growth factor pathway gene expression (EGFR, FGFR1, GHR, LYVE1, PDGFR, PDGFR, TGFBR, TIE1), indicating a potential independence from these proliferative stimuli. Several of the identified deregulated pathways overlap with gene expression profiles of human breast cancer. Gene expression profiling of metastatic carcinomas therefore identified complex molecular pathways and functional gene families that are deregulated during malignant progression in the tumors. This study provides new insights into canine mammary tumor metastasis and suggests that canine mammary tumors may serve as a valuable model for the human disease. 13 simple mammary carcinomas with lymph node metastases at the time of tumor resection were compared with the non-neoplastic mammary gland of the same dogs. Sufficient amounts of normal mammary gland were not available for dogs no. 1 (822) and 9 (61). In addition, one normal sample without matching tumor sample was analyzed (no. 8; 2609). All patients had no radiographically detectable pulmonary metastases at the time of tumor resection. Postoperative survival was analyzed by bi-yearly telephone interviews with the owners or the attending veterinarian. Distant metastases as the cause of death were determined postoperatively by radiographic detection of metastases (nos. 1-7, 9-12) or necropsy (nos. 13 and 14). Necropsy was not authorized by the owners of dogs nos. 1-7 and 9-12. Tissue specimens of tumors and lymph node metastases were fixed in neutral-buffered 4% formalin or snap frozen in liquid nitrogen within 15 minutes after resection and stored at -80ºC until further use. Formalin-fixed tumor tissue samples were routinely embedded in paraffin and sections of 2-μm thickness were mounted on adhesive glass slides and stained with hematoxylin and eosin. Tumors and lymph nodes were evaluated histologically independently by two board-certified pathologists, following the criteria of the WHO classification of canine mammary tumors (Misdorp et al. 1999).
2010-12-01 | E-GEOD-22516 | biostudies-arrayexpress
Project description:Current classification of head and neck squamous cell carcinomas (HNSCC) based on anatomic site and clinical stage fails to capture biologic heterogeneity or adequately inform treatment. Here we use consensus clustering on 371 HNSCC in three cohorts, including a new cohort of 134 patients with locoregionally advanced HNSCC and 43% HPV(+) tumors to identify five HNSCC subtypes. Subtypes closely correlate with biologic processes (hypoxia, cytotoxic T-cell infiltration, copy number changes, EGFR/HER-ligand phenotype), survival, and HPV-status. Two biologically distinct HPV-associated subtypes are identified. Gene modules of candidate drivers characterize each subtype using the CONEXIC algorithm. The proposed 5-subtype classification provides a biologic basis for future clinical and preclinical studies and lays the groundwork for improved prognostication and therapy development in HNSCC. We use consensus clustering on 371 HNSCC in three cohorts, including a new cohort of 134 patients with locoregionally advanced HNSCC and 43% HPV(+) tumors to identify five HNSCC subtypes.
2015-03-04 | E-GEOD-40774 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE11929: Identification of a subgroup of head and neck cancers lacking numerical chromosomal aberrations GSE11931: Copy Number Alterations in HNSCC with or without Oncogene Expressing Human Papillomavirus Refer to individual Series
2009-03-11 | E-GEOD-12020 | biostudies-arrayexpress
Project description:Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer and is major cause of cancer mortality and morbidity. It emerges within oral cavity, lip, tongue, floor of the mouth, nasopharynx, palate, gingival and larynx, is common cancer worldwide especially in Southeast Asia and Southern China. Despite of the advancements in the understanding of the HNSCC as the disease, the 5 year survival rate remains unchanged at 50% since last three decades. Factors such as advanced stage presentation of the patient and consequent delay in diagnosis contributes to the bleak scenario. Thus, therefore there is dire need of useful biomarkers that can predict HNSCC in early stages and can serve as prognostic indicators or targets for treatment. In the present study, We used iTRAQ (isobaric tags for relative and absolute quantitation)-based quantitative proteomic approach followed by liquid chromatography and high resolution tandem mass spectrometry (LC-MS/MS) to identify differential proteins from head and neck cancer cell lines.
2015-01-29 | PXD000737 | Pride