Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
Breast cancer is the most common cancer in women worldwide; despite the developments in diagnosis and therapy, recurrence and metastasis remain the main causes of death among patients with breast cancer. This study aimed to identify a promising biomarker for this disease. The study clarified (1) the association between Friend leukemia virus integration 1 (FLI-1) and various molecular subtypes and (2) the prognostic value of FLI-1 in breast cancer. To the best of our knowledge, this study is the first to report that FLI-1 is a predictor of poor prognosis in patients with breast cancer and overexpressed in the triple negative breast cancer (TNBC) subtype. To further verify the effect of FLI-1 in promoting the metastasis of TNBC, we performed a series of functional experiments in vitro and orthotopic xenograft experiments in the mammary fat pad of nude mice. FLI-1, as a transcription factor, bound to the promoters of key EMT-related genes (CDH1 and VIM), and regulated their expressions at the transcriptional level, thus induced epithelial-mesenchymal transition (EMT). The overexpression of FLI-1 significantly upregulated the expression of mesenchymal markers. After the modulation of FLI-1, the changes in mammary stem cell markers (ALDH1A1 and CD133) and the capacity to form mammospheres were consistent with those of the EMT-related markers. The orthotopic xenograft models further confirmed that the attenuation of stem cell traits after silencing FLI-1 decreased the ability of tumorigenesis. These results indicate that FLI-1 is a useful predictor of poor prognosis in patients with breast cancer. Furthermore, the preliminary exploration of metastatic mechanism in the patients with TNBC will provide a potential target to treat breast cancer in the near future.
Pubmed ID: 29869379
Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.
Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.
View all literature mentionsGlobal nonprofit biological resource center (BRC) and research organization that provides biological products, technical services and educational programs to private industry, government and academic organizations. Its mission is to acquire, authenticate, preserve, develop and distribute biological materials, information, technology, intellectual property and standards for the advancement and application of scientific knowledge. The primary purpose of ATCC is to use its resources and experience as a BRC to become the world leader in standard biological reference materials management, intellectual property resource management and translational research as applied to biomaterial development, standardization and certification. ATCC characterizes cell lines, bacteria, viruses, fungi and protozoa, as well as develops and evaluates assays and techniques for validating research resources and preserving and distributing biological materials to the public and private sector research communities.
View all literature mentionsCell line HEK293 is a Transformed cell line with a species of origin Homo sapiens (Human)
View all literature mentionsMus musculus with name NU/J from IMSR.
View all literature mentions