Mm-111, A Bispecific Her2 And Her3 Antibody, Synergistically Combines With Trastuzumab And Paclitaxel In Preclinical Models Of Gastric Cancer.

CANCER RESEARCH(2013)

引用 6|浏览19
暂无评分
摘要
Increasing evidence suggests amplification or overexpression of human epidermal growth factor receptor-2 (HER2), and HER3 levels are correlated to decreased survival in gastric cancers. Our previous studies established that MM-111, a novel bispecific antibody that specifically targets the HER2/HER3 heterodimer, blocks heregulin (HRG) binding to HER3 and corresponding downstream signaling pathways. In this study we used computational and experimental biology to assess the activity of MM-111 combination therapies in treating gastric cancer. First, we utilized a multi-scale computational network model of HER2-positive tumors that relates HER family signal transduction with cell growth to predict that MM-111 plus trastuzumab would synergistically inhibit tumor growth. The mechanism underlying this prediction is that the combinatorial blockade of HER2 and HER3 suppresses signal propagation through both the AKT and ERK cascades and this leads to synergistic cell growth arrest. Cell viability and signaling experiments in a gastric cancer model (NCI-N87) confirmed these predictions. In particular, MM-111 plus trastuzumab caused 25% greater cell growth inhibition than the additive effects of the individual treatments (compared to Bliss independence; p Citation Format: Bo Zhang, Johanna Lahdenranta, Jinyan Du, Daniel Kirouac, Stephanie Nguyen, Ryan Overland, Violette Paragas, Arthur Kudla, Ulrik Nielsen, Charlotte McDonagh, Matthew Onsum. MM-111, a bispecific HER2 and HER3 antibody, synergistically combines with trastuzumab and paclitaxel in preclinical models of gastric cancer. [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 4633. doi:10.1158/1538-7445.AM2013-4633
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要