Cellular Mechanisms Triggered by the Cotreatment of Resveratrol and Doxorubicin in Breast Cancer: A Translational In Vitro–In Silico Model

Figure 1

In silico strategy to identify putative genes/proteins modulated by Rsv and Doxo with therapeutic potential for breast cancer. This workflow shows the logical steps of the in silico analyses. On the top is shown an overview of the in vitro step, which involves a set of acute and long-term analyses after the treatment of MCF7 breast cancer cells with Rsv and Doxo (details are shown in Figure 2(a)). A translational strategy was performed to predict the putative genes and mechanisms modulated by Rsv and Doxo. To this, constitutive gene expression of MCF7 and metadata of breast cancer were used to predict interactomic networks. Topological analyses were prospected to predict hub-bottleneck (H-B) nodes and biological function associated. Gene expression, KM survival, and additional pathway analyses of these H-B nodes were also performed. Black boxes correspond to databases, algorithms, or metasearch software used.