Using network and functional enrichment clustering analysis to find therapeutic targets for breast cancer: the role of Cyclin-dependent kinase 2

Abstract

With population aging rapidly in developed and developing countries, cov- ering medical needs for breast cancer diagnosis and treatments is a priority in Latin America. Statistical methods for gene expression clustering, protein-protein interactions, functional enrichment decisions and topological network analysis allowed we inferred, from MCF-7 breast cancer cell line estrogen deprivation results and the several well-known breast cancer biomarkers, a group of estrogen-responsing genes with good significance and impact. These genes are those most signifantly responsing to estrogen changes with high connectivity degree and good representativity of functional enrichment.