Abstract 5223: Elucidating the complex cross-talk between the MAPK and PIK3 pathways.

Abstract

Abstract Targeted molecular inhibitors have emerged as a leading anti-cancer strategy; however, despite promising pre-clinical data, many targeted inhibitors induce undesirable off-target effects in the clinic. The large number of off-target effects associated with molecular inhibitors was recently termed the ‘‘whack a mole problem’’ because inhibiting one molecular target often unintentionally activates another molecule. It is increasingly clear that the high incidence of off-target effects associated with targeted inhibitors is related to the complex interactions and emergent behaviors inherent to the highly complex and dysregulated intracellular networks of cancer. Both the mitogen activated protein kinase (MAPK) and phosphatidylinositol-3 kinase (PI3K) pathways are known to be dysregulated in cancer. In previous work, we and others have demonstrated that the MAPK pathway promotes motility, invasion, and angiogenic factors while the PI3K pathway plays an important role in controlling anchorage independent growth. In addition, the PI3K pathway plays an essential role in stimulating glucose metabolism and the Warburg effect. We hypothesize that robust interactions exist between these two pathways that influence efficacy and potentially also acquired resistance to targeted therapies. Using a combination of experimental and theoretical techniques, we developed a predictive network model linking growth factor signaling to the MAPK and PI3K pathways as well as to glucose metabolism. Specifically, we constructed a logic-based network of the cross-talk between MAPK and PI3K signaling that relied on a detailed literature survey to identify known molecular interactions as well as proposed interactions and regulatory feedback connections in the literature. We next performed a set of experiments using a normal-like breast epithelial cell line and a series of pathway specific inhibitors with and without growth factor stimulation to validate our model. Finally, we repeated these experiments using a diverse set of breast cancer cell lines and integrated this data to produce a series of cancer networks representative of different stages of breast cancer progression. Our model was able to recapitulate both our own experimental data and published data in the literature using a smaller subset of regulatory feedback mechanisms than we started with. Together, our results suggest that some proposed interactions and feedback mechanisms attributed to MAPK and PI3K cross-talk in the literature may not be valid. Citation Format: Megan E. Egbert, Michelle L. Wynn, Zhi Fen Wu, Santiago Schnell, Sofia D. Merajver. Elucidating the complex cross-talk between the MAPK and PIK3 pathways. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 5223. doi:10.1158/1538-7445.AM2013-5223