Mitochondrial estrogen receptors alter mitochondrial priming and response to endocrine therapy in breast cancer cells

Karakaş, Bahriye and Aka, Yeliz and Giray, Aslı and Temel, Sehime Gulsun and Acikbas, Ufuk and Başağa, Hüveyda and Gul, Ozgur and Kutuk, Ozgur (2021) Mitochondrial estrogen receptors alter mitochondrial priming and response to endocrine therapy in breast cancer cells. Cell Death Discovery, 7 (1). ISSN 2058-7716

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Abstract

Breast cancer is the most common cancer with a high rate of mortality and morbidity among women worldwide. Estrogen receptor status is an important prognostic factor and endocrine therapy is the choice of first-line treatment in ER-positive breast cancer. However, most tumors develop resistance to endocrine therapy. Here we demonstrate that BH3 profiling technology, in particular, dynamic BH3 profiling can predict the response to endocrine therapy agents as well as the development of acquired resistance in breast cancer cells independent of estrogen receptor status. Immunofluorescence analysis and subcellular fractionation experiments revealed distinct ER-alpha and ER-beta subcellular localization patterns in breast cancer cells, including mitochondrial localization of both receptor subtypes. shRNA-mediated depletion of ER-beta in breast cancer cells led to resistance to endocrine therapy agents and selective reconstitution of ER-beta in mitochondria restored sensitivity. Notably, mitochondria-targeted ER-alpha did not restore sensitivity, even conferred further resistance to endocrine therapy agents. In addition, expressing mitochondria-targeted ER-beta in breast cancer cells resulted in decreased mitochondrial respiration alongside increased total ROS and mitochondrial superoxide production. Furthermore, our data demonstrated that mitochondrial ER-beta can be successfully targeted by the selective ER-beta agonist Erteberel. Thus, our findings provide novel findings on mitochondrial estrogen signaling in breast cancer cells and suggest the implementation of the dynamic BH3 technique as a tool to predict acquired endocrine therapy resistance.
Item Type: Article
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Biological Sciences & Bio Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Hüveyda Başağa
Date Deposited: 21 Aug 2021 18:09
Last Modified: 01 Sep 2022 12:55
URI: https://research.sabanciuniv.edu/id/eprint/42038

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