Obesity induced a leptin-Notch signaling axis in breast cancer

肥胖诱导乳腺癌瘦素-Notch信号轴

阅读:15
作者:Monica Battle, Corey Gillespie, Alexander Quarshie, Viola Lanier, Tia Harmon, Kaamilah Wilson, Marta Torroella-Kouri, Ruben R Gonzalez-Perez

Abstract

To investigate whether obesity induces a leptin-Notch signaling axis in breast cancer (BC), leptin-induced Notch was determined in human MCF-7 and MDA-MB231 and mouse E0771 cells and in E0771-BC hosted by syngeneic lean and diet-induced obesity (DIO) C57BL/6J female mice. Lean and DIO mice were treated for 3 weeks with leptin inhibitor (PEG-LPrA2) 1 week after the inoculation of E0771 cells. Leptin induced Notch1, 3 and 4 in BC cells, but Notch2 expression showed opposite pattern in MCF-7 compared to MDA-MB231 cells. Notch loss-of-function (DAPT and dominant negative [R218H] RBP-Jk [CSL/CBF1]) showed that a functional leptin-Notch signaling axis was involved in the proliferation and migration of E0771 cells. E0771-BC onset was affected by obesity (lean mice7/10 [70%] vs. DIO mice: 11/12 [92%]; Pearson χ(2) : p = 0.06]). PEG-LPrA2 significantly reduced BC growth (untreated: 19/42; [45%] vs. treated: 8/42 [19%]; Pearson χ(2) : p = 0.008). PEG-LPrA2 did not influence the caloric intake of mice but increased carcass and/or body weights of lean and DIO mice inoculated with E0771 cells, which could be related to the improvement of health conditions (less aggressive disease). Importantly, BC from obese mice had higher levels of Notch3, JAG1 and survivin than lean mice. Inhibition of leptin signaling reduced protein levels of Notch (NICD1, NICD4, Notch3, JAG1 and survivin) and significantly decreased mRNA expression of Notch receptors, ligands and targets. PEG-LPrA's effects were more prominent in DIO mice. Present data suggest that leptin induces Notch, which could be involved in the reported higher incidence and aggressiveness and, poor prognosis of BC in obese patients.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。