Identification of modules and key genes associated with breast cancer subtypes through network analysis
María Daniela Mares-Quiñones,
Edgardo Galán-Vásquez,
Ernesto Pérez-Rueda
et al.
Abstract:Breast cancer is the most common malignancy in women around the world. Intratumor and intertumoral heterogeneity persist in mammary tumors. Therefore, the identification of biomarkers is essential for the treatment of this malignancy. This study analyzed 28,143 genes expressed in 49 breast cancer cell lines using a Weighted Gene Co-expression Network Analysis to determine specific target proteins for Basal A, Basal B, Luminal A, Luminal B, and HER2 ampl breast cancer subtypes. Sixty-five modules were identifie… Show more
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