Secretome analysis of microarray data reveals extracellular events associated with proliferative potential in a cell line model of breast disease

Abstract 

It is widely believed that breast cancer develops in a multistep process with premalignant lesions preceding invasive carcinoma. The characterization of molecular events associated with premalignant progression would improve our understanding of carcinogenesis and greatly benefit the development of early detection methods and chemoprevention strategies. However, the molecular biology of precancerous breast disease is poorly understood. To better characterize extracellular events associated with disease progression, such as cell–cell and cell-extracellular matrix (ECM) signaling, we analyzed gene expression profiles for the set of genes coding for secreted proteins (the secretome) in a cell line model of human proliferative breast disease (PBD). PBD describes a series of preneoplastic changes in the inner lining of milk glands associated with a dramatic increase in the risk of breast cancer. We used a series of cell lines with increasing proliferative propensity, and cell cultures were grown on matrigel to emulate in vivo growth and ECM interactions. Microarray analysis identified two clusters of secretome genes with expression profiles correlating to PBD progression. Some of the identified genes have previously been associated with breast malignancies, and our results suggest that changes in expression for these genes begin in the premalignant stage, offering potential use for early detection and as chemotherapeutic targets. RT-PCR validation demonstrates the reliability of the microarray results.

Keywords: Breast disease, Cancer, Secretome, Bioinformatics, Microarray, Biomarker