Similar Datasets
Project description:Methylation profiles of benign and malignant bone tumorus
| PRJNA489284 | ENA
Project description:Serous borderline tumours (SBOT) are a challenging group of ovarian tumours positioned between benign and malignant disease. We have profiled the DNA methylomes of 12 low grade serous carcinoma (LGSC), 19 SBOT and 16 benign serous tumours (BST) across 27,578 CpG sites to further characterise the epigenomic relationship between these subtypes of ovarian tumours. Unsupervised hierarchical clustering of DNA methylation levels showed that LGSC differ distinctly from BST, however, not from SBOT. Gene ontology analysis of genes showing differential methylation at linked CpG sites between LGSC and BST revealed significant enrichment of gene groups associated with cell adhesion, cell-cell signalling and the extracellular region consistent with a more invasive phenotype of LGSC as compared to BST. Consensus clustering highlighted differences between SBOT methylomes and returned subgroups with malignant-like or benign-like methylation profiles. Furthermore, a two loci DNA methylation signature can distinguish between these SBOT subgroups with benign-like and malignant-like methylation characteristics. Our findings indicate striking similarities between SBOT and LGSC methylomes which supports a common origin and the view that LGSC may arise from SBOT. A subgroup of SBOT can be classified into tumours with a benign-like or a malignant-like methylation profile which may help in identifying tumours more likely to progress into LGSC.
2012-12-31 | GSE40105 | GEO
Project description:The main goal of the study was to measure the epigenetic age (also known as DNA methylation age) of human bone tissue and to relate it to chronological age. Toward this end, we used the epigenetic clock software described in Horvath S (2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928
2015-06-03 | GSE64490 | GEO
Project description:Serous borderline tumours (SBOT) are a challenging group of ovarian tumours positioned between benign and malignant disease. We have profiled the DNA methylomes of 12 low grade serous carcinoma (LGSC), 19 SBOT and 16 benign serous tumours (BST) across 27,578 CpG sites to further characterise the epigenomic relationship between these subtypes of ovarian tumours. Unsupervised hierarchical clustering of DNA methylation levels showed that LGSC differ distinctly from BST, however, not from SBOT. Gene ontology analysis of genes showing differential methylation at linked CpG sites between LGSC and BST revealed significant enrichment of gene groups associated with cell adhesion, cell-cell signalling and the extracellular region consistent with a more invasive phenotype of LGSC as compared to BST. Consensus clustering highlighted differences between SBOT methylomes and returned subgroups with malignant-like or benign-like methylation profiles. Furthermore, a two loci DNA methylation signature can distinguish between these SBOT subgroups with benign-like and malignant-like methylation characteristics. Our findings indicate striking similarities between SBOT and LGSC methylomes which supports a common origin and the view that LGSC may arise from SBOT. A subgroup of SBOT can be classified into tumours with a benign-like or a malignant-like methylation profile which may help in identifying tumours more likely to progress into LGSC. Array-based methylation profiling was performed using the Infinium HumanMethylation27 BeadChip in 12 low grade serous carcinoma, 19 serous borderline tumours and 16 benign serous tumours. The reproducibility of the Infinium HumanMethylation27 BeadChips was evaluated using four biological replicates of the high grade serous ovarian cancer cell line PEO1. Differential methylation cutoff was estimated from four biological replicates by bootstrap resampling and set at Δβ ≥ 0.25 corresponding to a FDR ≤ 0.09.
2012-12-31 | E-GEOD-40105 | biostudies-arrayexpress
Project description: Not available
| S-EPMC2639620 | biostudies-literature
Project description:Genome wide DNA methylation profiling of normal adrenocortical tissue, adrenocortical adenomas and adrenocortical carcinomas. The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles. Samples included 6 normal adrenocortical tissue samples, 27 adenomas and 15 carcinomas.
2012-09-01 | GSE36353 | GEO
Project description:Aberrant DNA methylation (DNAm) was first linked to cancer over 25 years ago. Since then, many studies have associated hypermethylation of tumour suppressor genes and hypomethylation of oncogenes to the tumourigenic process. However, most of these studies have been limited to the analysis of promoters and CpG islands (CGIs). Recently, new technologies for whole-genome DNAm (methylome) analysis have been developed, enabling unbiased analysis of cancer methylomes. Using MeDIP-seq, we report a sequencing-based comparative methylome analysis of malignant peripheral nerve sheath tumours (MPNST), benign Neurofibromas and normal Schwann cells. Analysis of these methylomes revealed a complex landscape of DNAm alterations. Contrary to the current dogma, significant global hypomethylation was not observed in the MPNST methylome. However, a highly significant (P<10-100) directional difference in DNAm was found in satellite repeats, suggesting these repeats to be the main target for hypomethylation in MPNST. Comparative analysis of the MPNST and Schwann cell methylomes identified 101,466 cancer-associated differentially methylated regions (cDMRs). Analysis showed these cDMRs to be significantly enriched for two satellite repeat types (SATR1 and ARLα) and suggests an association between aberrant DNAm of these sequences and transition from healthy cells to malignant disease. Significant enrichment of hypermethylated cDMRs in CGI shores (P<10-60), non-CGI-associated promoters (P<10-4) and hypomethylated cDMRs in SINE repeats (P<10-100) was also identified. Integration of DNAm and gene expression data showed that the expression pattern of genes associated with CGI shore cDMRs was able to discriminate between disease phenotypes. This study establishes MeDIP-seq as an effective method to analyse cancer methylomes.
2011-01-01 | GSE21714 | GEO
Project description: Not available
| S-EPMC3073305 | biostudies-literature
Project description: Not available
| S-EPMC3619233 | biostudies-literature
Project description:Genome wide DNA methylation profiling of phyllodes tumour, fibroadenoma and metaplastic breast cancer samples. The Illumina Infinium Methylation EPIC v1.0 BeadChip Array was used to obtain DNA methylation profiles across approximately 866,000 CpGs from primary tumours. Samples included a range of grades of phyllodes tumours (n=29), fibroadenoma (n=2), and metaplastic breast cancer (n=2).
2023-12-15 | GSE231574 | GEO