Dataset Information

Analysis of microdissected invasive lobular and ductal breast carcinomas in relation to normal ductal and lobular cells

ABSTRACT: The aim of our study was to identify gene expression profiles of ductal and lobular carcinomas in relation to normal ductal and lobular cells. We examined ten mastectomy specimens from postmenopausal breast cancer patients. Ductal and lobular tumor and normal cells were microdissected from cryosections. Fifty nanograms of total RNA were amplified and labeled by PCR and in vitro transcription. GCOS pairwise comparison algorithm and rank products have identified multiple genes that are differentially expressed in comparisons between ductal and lobular tumor and normal cell types. The results suggest that these genes are involved in epithelial-mesenchymal transition, TGFbeta and Wnt signaling. These changes are present in both tumor types but appear to be more prominent in lobular carcinomas. Keywords: cell type comparison

ORGANISM(S): Homo sapiens

PROVIDER: GSE5764 | GEO | 2007/03/16

SECONDARY ACCESSION(S): PRJNA97101

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Invasive lobular carcinoma (ILC) of the breast accounts for 5-15% of breast cancers and is characterized by loss of E-cadherin and believed to arise via a linear histological progression. Genomic studies have identified a clonal relationship between ILC and concurrent lobular carcinoma in situ (LCIS) lesions, suggesting that LCIS may be a precursor lesion. It has been shown that an LCIS diagnosis confers a 15-20% risk of progression to ILC, over a lifetime. Currently no molecular test or markers can identify LCIS lesions likely to progress to ILC. Since microRNA (miRNA) expression changes have been detected in a number of other cancer types, we explored whether their dysregulation might be detected during progression from LCIS to ILC. Using the Illumina miRNA profiling platform, designed for simultaneous analysis of 470 mature miRNAs, we analyzed the profiles of archived normal breast epithelium, LCIS lesions found alone, LCIS lesions concurrent with ILC, and the concurrent ILCs, as a model of linear histological progression toward ILC. We identified two sets of differentially expressed miRNAs, the first set highly expressed in normal epithelium, including hsa-miR-224, -139, -10b, -450, 140 and -365 and the second set upregulated during lobular neoplasia, including hsa-miR-375, -203, -425-5p, -183, -565 and -182. Using quantitative RT-PCR, we validated a trend of increased expression for hsa-mir-375, hsa-mir-182, and hsa-mir-183 correlating with ILC progression. As we detected increased expression of hsa-miR-375 in LCIS lesions synchronous with ILC, we sought to determine whether hsa-mir-375 might induce phenotypes reminiscent of lobular neoplasia by expressing it in the MCF10A 3D culture model of mammary acinar morphogenesis. Increased expression of hsa-miR-375 resulted in loss of cellular organization and acquisition of a hyperplastic phenotype. These data suggest that dysregulated miRNA expression contributes to lobular neoplastic progression. 6 specimens were analyzed in duplicate. One frozen normal lobular epithelium and the matched FFPE (1 month old) normal lobular epithelium. One lobular carcinoma in situ (LCIS) found alone, one LCIS synchronous with an invasive lobular carcinoma (ILC), the synchronous ILC (from a different archived block), and one ILC found alone without presence of any other breast cancer.

Dataset Information

Analysis of microdissected invasive lobular and ductal breast carcinomas in relation to normal ductal and lobular cells

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets