Dataset Information

Methylome sequencing identifies potential epigenetic prognostic biomarker signature that stratifies triple negative breast cancer

ABSTRACT: Triple negative breast cancers (TNBCs) comprise a heterogeneous group of cancers with varying prognoses, presenting a challenge for effective clinical management. Epigenetic alterations in the cancer methylome are common in breast cancer and provide novel options for tumor stratification on the basis of prognosis. Advances in genome-wide DNA methylation technology have enabled more comprehensive identification of potential epigenetic diagnostic and prognostic cancer biomarkers. Here, we use MBDCap-Seq to perform genome-wide DNA methylation profiling from archival TNBC and matched normal DNA samples. We identified 822 differentially methylated regions (DMRs) comprising 308 genes affected by cancer-specific promoter hypermethylation. Notably, 51 of these genes are also recurrently mutated in breast cancer, seven of which include members of the axon guidance pathway recently implicated in tumor initiation and progression. Using TCGA methylation data as an independent validation cohort for TNBCs (n= 73), we showed that 36 genomic regions were specific for TNBCs, including both promoter and gene body hypermethyled loci. Importantly, we stratified TNBCs into three distinct methylation clusters associated with better or worse prognosis. Furthermore, we identified a “survival” methylation signature consisting of 17 DMRs that show strong regional association with overall survival, 16 of which overlap DNase1 hypersensitive sites. Notably three of these “survival” DMRs are located in the bi-directional promoter and gene bodies of WT1 gene and its anti-sense counter-part WT1-AS. Together, our data identifies for the first time a cancer DNA methylation diagnostic and prognostic signature that promises to stratify TNBCs for more personalized management.

ORGANISM(S): Homo sapiens

PROVIDER: GSE58020 | GEO | 2014/12/31

SECONDARY ACCESSION(S): PRJNA248722

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:To further our understanding of the role of DNA methylation in development, Methylated DNA Immunoprecipitation (MeDIP) was used in conjunction with a NimbleGen promoter plus CpG island array to identify Tissue and Developmental Stage specific Differentially Methylated DNA Regions (T-DMRs and DS-DMRs) on a genome-wide basis. Four tissues (brain, heart, liver, and testis) from C57BL/6J mice were analyzed at three developmental stages (15 day embryo, E15; new born, NB; 12 week adult, AD). Almost 5,000 adult T-DMRs and 10,000 DS-DMRs were identified. Surprisingly, almost all DS-DMRs were tissue specific (i.e., methylated and ummenthylated in one or more non-overlapping tissues), indicating that the vast majority of unique sequence DNA methylation has tissue specificity. Also, many DS-DMRs were methylated at early development stages (E15 and NB) but unmethylated in adult, indicating “demethylation” has a prominent role in tissue differentiation. The pattern of DNA methylation in adult testis was dramatically different from somatic tissues in many aspects, mostly notably with a very strong bias of methylation in non-CpGi (CpG island) promoter regions (94%). Although the majority of T-DMRs and DS-DMRs tended to be in non-CpGi promoter regions, a relatively large number were also located in CpGi in promoter, intra-genic and inter-genic regions (>15% of all CpGi). Gene Ontology analysis of genes with methylation in non-CpGi promoters indicates enrichment of genes related to membrane proteins and G-protein coupled receptors. Our data also suggest regulatory roles of DNA methylation outside of promoter regions and in alternative promoter selection. Overall, our studies indicate that change in DNA methylation during development is a dynamic, widespread and tissue-specific process involving both DNA methylation and demethylation. Comparison of DNA methylation across 3 developmental stages (15 day embryo, newborn, and adult) for four tissues (brain, heart, liver and testis)

Dataset Information

Methylome sequencing identifies potential epigenetic prognostic biomarker signature that stratifies triple negative breast cancer

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets