PGC-1α and ERRα in patients with endometrial cancer: A translational study for predicting myometrial invasion

10Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

Abstract

Background: PGC-1α and ERRα are closely related to tumor formation and progression. However, the mechanism underlying the involvement of PGC-1α/ERRα in regulating invasion and migration in endometrial cancer remains to be explored. Results: Elevated levels of PGC-1α and ERRα were associated with advanced myometrial invasion, and PGC-1α and Vimentin expression was related to the depth of myometrial invasion in premenopausal endometrial cancer. Silencing of PGC-1α reduced ERRα activation and inhibited epithelial-mesenchymal-transition phenotypes, resulting in significant inhibition of invasion and migration. Overexpression of ERRα led to enhanced PGC-1α expression and increased activity of TFEB, promoting epithelial-mesenchymal-transition in endometrial cancer cells. Conclusions: PGC-1α and ERRα induce the epithelial-mesenchymal-transition therefore invasion and migration in endometrial cancer, and may be novel biomarkers to predict the risk of advanced myometrial invasion. Methods: PGC-1α, ERRα, and vimentin expression was analyzed in tissue microarrays using immunohistochemistry. PGC-1α and ERRα expression in endometrial cancer cell lines was investigated using quantitative PCR and western blotting analyses after infection with lentivirus-mediated small interfering RNA (siRNA) targeting PGC-1α (siRNA-PGC-1α) or overexpressing ERRα. E-cadherin and vimentin levels were determined using western blotting and cell immunofluorescence analyses. Cell migration and invasiveness were evaluated using scratch and trans-well chamber assays.

Cite

CITATION STYLE

APA

Chen, L. L., Mao, X. D., Huang, M. M., Lei, H. F., Xue, L. F., & Sun, P. M. (2020). PGC-1α and ERRα in patients with endometrial cancer: A translational study for predicting myometrial invasion. Aging, 12(17), 16963–16980. https://doi.org/10.18632/AGING.103611

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free