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Chaperone‐mediated autophagy degrade Dicer to promote breast cancer metastasis.

  • Published In: Journal of Cellular Physiology, 2023, v. 238, n. 4. P. 829 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Su, Chih‐Ming; Hsu, Tung‐Wei; Chen, Hsin‐An; Wang, Wan‐Yu; Huang, Chih‐Yang; Hung, Chih‐Chiang; Yeh, Ming‐Hsin; Su, Yen‐Hao; Huang, Ming‐Te; Liao, Po‐Hsiang 3 of 3

Abstract

Metastasis in breast cancer usually lead to the majority of deaths on clinical patients. Accordingly, diagnosis of metastasis at the early stage in breast cancer is important to improve the prognosis. We observed that Dicer protein levels are significant decrease in highly invasive breast cancer cells and usually correlated with poor clinical outcomes. Following, we aim to clarify the molecular regulatory mechanism of this phenomenon in breast cancer to provide a new therapeutic target. In this study, we obtained that Dicer expression correlated with metastasis and invasion without affect cell stability in breast cancer cells. Importantly, we identified the regulatory mechanism of Dicer protein degradation, the chaperone‐mediated autophagy (CMA)‐mediated degradation that is major mechanism to decrease Dicer protein expression and lead to cancer metastasis. We discovered that heat shock cognate 71‐kDa protein (Hsc70) which as a CMA‐related factor interacts with the CMA‐targeting motif I333A/K334A on Dicer to promote degradation through CMA. Taken together, our findings hint that Dicer highly correlated with cancer metastasis, we reveal the tumor‐promoting effect of CMA‐mediated Dicer degradation in breast cancer. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Cellular Physiology. 2023/04, Vol. 238, Issue 4, p829
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:0021-9541
  • DOI:10.1002/jcp.30979
  • Accession Number:163160442
  • Copyright Statement:Copyright of Journal of Cellular Physiology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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