Title |
MicroRNA 628 suppresses migration and invasion of breast cancer stem cells through targeting SOS1
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Published in |
OncoTargets and therapy, September 2018
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DOI | 10.2147/ott.s164575 |
Pubmed ID | |
Authors |
Chenghui Lin, Bin Gao, Xuemao Yan, Zixiong Lei, Kebing Chen, Yuquan Li, Qing Zeng, Zeqin Chen, Haomiao Li |
Abstract |
The purpose of this study is to evaluate the effects of miR-628 on migration and invasion of breast cancer stem cells (CSCs), which are essential for tumor recurrence and metastasis. Quantitative reverse transcription-polymerase chain reaction was used to determine the expression of microRNAs and mRNAs. A subpopulation of CD44+/CD24- breast CSCs were sorted by flow cytometry. Transwell assays were used to evaluate cell migration and invasion. Luciferase reporter assays were performed to verify whether miR-628 targeted SOS Ras/Rac guanine nucleotide exchange factor 1 (SOS1). pcDNA3.1(+)-SOS1 was constructed for overexpressing SOS1 after transfection. Compared with primary breast cancer cells, bone metastatic breast cancer cells showed significant downregulation of miR-628. The CD44+/CD24- breast CSC subpopulations in MDA-MB-231 and MCF-7 cell lines were analyzed and sorted. Transfection with an miR-628 mimic significantly suppressed the migration and invasion of these breast CSCs by targeting SOS1, which plays an essential role in epithelial-to-mesenchymal transition. Overexpression of SOS1 rescued miR-628-mediated migration and invasion by upregulating Snail and vimentin, and downregulating E-cadherin. miR-628 suppressed migration and invasion of breast CSCs of MDA-MB-231 and MCF-7 cells by directly targeting SOS1. Enhancement of miR-628 expression might be an effective strategy for managing breast cancer metastasis. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 6 | 18% |
Student > Bachelor | 3 | 9% |
Professor > Associate Professor | 3 | 9% |
Student > Ph. D. Student | 3 | 9% |
Librarian | 2 | 6% |
Other | 5 | 15% |
Unknown | 11 | 33% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 8 | 24% |
Medicine and Dentistry | 8 | 24% |
Immunology and Microbiology | 1 | 3% |
Social Sciences | 1 | 3% |
Engineering | 1 | 3% |
Other | 0 | 0% |
Unknown | 14 | 42% |