Differences in the starvation-induced autophagy response in MDA-MB-231 and MCF-7 breast cancer cells

Anim Cells Syst (Seoul). 2017 May 30;21(3):190-198. doi: 10.1080/19768354.2017.1330763. eCollection 2017.

Abstract

Breast cancer is a heterogeneous disease with distinct subtypes that have made targeted therapy of breast cancer challenging. Previous studies have demonstrated that an altered autophagy capacity can influence the development of breast cancer. However, the molecular differences in starvation-induced autophagic responses in MDA-MB-231 and MCF-7 cells have not been fully elucidated. In this study, we found that an increase of LC3B-II protein expression level and a decrease of the p62 protein expression level in both cells treated by Earle's balanced salt solution. Meanwhile, we observed an increase of autophagosome using transmission electron microscopy and an enhancement in the green fluorescence intensity of LC3B protein by confocal microscopy. Furthermore, we detected the expression of 13 autophagy-related (ATG) genes and 11 autophagy signaling pathway-related genes using qPCR. Among 13 ATG genes, we found that 6 genes were up-regulated in treated MDA-MB-231 cells, while 4 genes were up-regulated and 1 gene was down-regulated in treated MCF-7 cells. In addition, among 11 autophagy signaling pathway-related genes, 7 genes were up-regulated in treated MDA-MB-231 cells, while 5 genes were up-regulated and 1 gene was down-regulated in treated MCF-7 cells. These findings suggest that the autophagic response to starvation was different in the two treated cell lines, which will contribute to further study on the molecular mechanism of starvation-induced autophagy and improve the targeted therapy of breast cancer.

Keywords: MCF-7; MDA-MB-231; autophagy signaling pathway-related genes; autophagy-related genes; starvation.

Grants and funding

This work was supported by the National Natural Science Foundation of China [grant number 81160282 and 31360549], Major Program on Basic Research Projects of Yunnan Province [grant number 2014FC006], and Natural Science Foundation Key Project of Yunnan Province [grant number 2013FA016].