Dataset Information

Genome-wide miRNA, gene and methylation analysis of triple negative breast cancer to identify changes associated with lymph node metastases.

ABSTRACT: Triple negative breast cancer (TNBC) is a particularly important breast cancer subtype with an aggressive clinical phenotype that is associated with a higher likelihood of metastasis. This subtype is characterized by an absence of the estrogen (ER) and progesterone (PR) receptors, as well as the human epidermal growth factor receptor 2 (HER2/HER neu). The absence of the three receptors significantly reduces targeted treatment options for patients with TNBC and as such, there is an urgent need to identify novel treatment targets. Here, we provide detailed information regarding the design of a multi-platform dataset that describes genome-wide assessment of miRNA (assessed by microarray, GSE38167) and gene expression (assessed by microarray, GSE61723), as well as methylation (assessed by Illumina HM450K BeadChip, GSE78751) in TNBCs, matched normal adjacent tissues and matched lymph node metastases. The use of this multi-platform dataset is likely to uncover novel markers and key pathways involved in progression to lymph node metastasis in TNBC.

SUBMITTER: Avery-Kiejda KA

PROVIDER: S-EPMC5511590 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Genome-wide miRNA, gene and methylation analysis of triple negative breast cancer to identify changes associated with lymph node metastases.

Avery-Kiejda Kelly A KA Mathe Andrea A Scott Rodney J RJ

Genomics data 20170706

Triple negative breast cancer (TNBC) is a particularly important breast cancer subtype with an aggressive clinical phenotype that is associated with a higher likelihood of metastasis. This subtype is characterized by an absence of the estrogen (ER) and progesterone (PR) receptors, as well as the human epidermal growth factor receptor 2 (HER2/HER neu). The absence of the three receptors significantly reduces targeted treatment options for patients with TNBC and as such, there is an urgent need to ...[more]

PMID: 28736703

Similar Datasets

Project description:BACKGROUND: Breast cancer is the most common malignancy that develops in women, responsible for the highest cancer-associated death rates. Triple negative breast cancers represent an important subtype that have an aggressive clinical phenotype, are associated with a higher likelihood of metastasis and are not responsive to current targeted therapies. miRNAs have emerged as an attractive candidate for molecular biomarkers and treatment targets in breast cancer, but their role in the progression of triple negative breast cancer remains largely unexplored. METHODS: This study has investigated miRNA expression profiles in 31 primary triple negative breast cancer cases and in 13 matched lymph node metastases compared with 23 matched normal breast tissues to determine miRNAs associated with the initiation of this disease subtype and those associated with its metastasis. RESULTS: 71 miRNAs were differentially expressed in triple negative breast cancer, the majority of which have previously been associated with breast cancer, including members of the miR-200 family and the miR-17-92 oncogenic cluster, suggesting that the majority of miRNAs involved in the initiation of triple negative breast cancer are not subtype specific. However, the repertoire of miRNAs expressed in lymph node negative and lymph node positive triple negative breast cancers were largely distinct from one another. In particular, miRNA profiles associated with lymph node negative disease tended to be up-regulated, while those associated with lymph node positive disease were down-regulated and largely overlapped with the profiles of their matched lymph node metastases. From this, 27 miRNAs were identified that are associated with metastatic capability in the triple negative breast cancer subtype. CONCLUSIONS: These results provide novel insight into the repertoire of miRNAs that contribute to the initiation of and progression to lymph node metastasis in triple negative breast cancer and have important implications for the treatment of this breast cancer subtype.

Dataset Information

Genome-wide miRNA, gene and methylation analysis of triple negative breast cancer to identify changes associated with lymph node metastases.

Publications

Genome-wide miRNA, gene and methylation analysis of triple negative breast cancer to identify changes associated with lymph node metastases.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets