Abstract
IntroductionBreast cancer currently accounts for more than one-quarter of all female cancers and, despite the great progress in treatment observed in the past few years, the need for identification of new gene targets that can be used for diagnosis, prognosis and therapy is evident. A previous study identified the transcription factor NR4A1 as a gene upregulated in primary breast cancer compared with normal tissue by microarray analysis and sequencing technologies. The purpose of the study was to identify the role of NR4A1 in normal mammary epithelial and breast cancer cell biology.MethodsNR4A1 expression in breast tumours was assessed by semiquantitative and real-time PCR using RNA from normal and tumour samples or breast cancer cell lines. Immunohistochemistry on tissue microarrays was performed to check NR4A1 protein expression in breast tumours. MCF-10A and 226L normal mammary epithelial cells as well as the tumour lines PMC42, ZR-75-1 and MDA-MB-231 were transduced with full-length NR4A1, and the ability of NR4A1-overexpressing cells to migrate was tested using scratch wound or transwell migration assays. Proliferation was measured using the MTT and BrdU assays, while apoptosis was determined by the Annexin V assay. The ability of the cells to adhere to extracellular matrix was tested by adhesion assays and integrin cell surface expression was measured by flow cytometry. Activation of the FAK as well as ERK1/2 and PI3K pathways was checked by western blotting.ResultsBreast tissue microarray analysis showed NR4A1 expression in primary tumours, which was reduced in higher grade and metastatic tumours. Ectopic expression of NR4A1 in MCF-10A, 226L, PMC42 and ZR-75-1 cells led to reduced ability of the cells to migrate, while no differences were observed in their proliferation and apoptotic index. NR4A1 expression altered the ability of the MCF-10A cells to adhere to the extracellular matrix and affected cell surface expression of integrins.ConclusionsNR4A1 acts as an antimigratory factor in two normal mammary epithelial and two breast cancer cell lines tested. It is therefore possible that NR4A1 acts as an antimigratory factor in breast tumours, and further studies should be conducted to understand the mechanisms involved.
Highlights
Breast cancer currently accounts for more than one-quarter of all female cancers and, despite the great progress in treatment observed in the past few years, the need for identification of new gene targets that can be used for diagnosis, prognosis and therapy is evident
In the present article we explore the role in mammary cell biology of one transcription factor, namely NR4A1, by its ectopic expression in normal mammary epithelial cells and breast cancer cell lines
reverse transcription (RT)-polymerase chain reaction (PCR) analysis of differentially expressed transcription factors identified in the differential tumour epithelial transcriptome The DTET comprises 8,051 transcripts that show a significant difference in abundance between normal luminal epithelial cells and primary malignant epithelial cells, and 640 of these transcripts belong to the family of transcription factors [12]
Summary
Breast cancer currently accounts for more than one-quarter of all female cancers and, despite the great progress in treatment observed in the past few years, the need for identification of new gene targets that can be used for diagnosis, prognosis and therapy is evident. A previous study identified the transcription factor NR4A1 as a gene upregulated in primary breast cancer compared with normal tissue by microarray analysis and sequencing technologies. The purpose of the study was to identify the role of NR4A1 in normal mammary epithelial and breast cancer cell biology. The normal breast terminal duct-lobular unit is considered the origin of most cancers and consists of two morphologically recognisable cell types: epithelial cells on the inner luminal surface, surrounded by an outer layer of contractile myoepithelial (basal) cells. Gene expression profiling of RNA from solid heterogeneous breast tumours has enabled their classification into at least five different types [6,7] and gene signatures have been defined that are indicative of poor prognosis [8,9,10]. The precise nature of the RNA changes in the various types of cancer cells-even with prior laser microdissection capabilities - still remains elusive
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