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通过全面的生物信息学分析和实验验证,Intersectin 1(ITSN1)被确定为乳腺癌的主要候选生物学靶标
Authors Xie C, Xiong W, Li J, Wang X, Xu C, Yang L
Received 19 May 2019
Accepted for publication 9 August 2019
Published 30 August 2019 Volume 2019:12 Pages 7079—7093
DOI https://doi.org/10.2147/OTT.S216286
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Ms Shreya Arora
Peer reviewer comments 3
Editor who approved publication: Dr Arseniy Yuzhalin
Background: As one of the most common cancers, breast carcinoma is the most common disease in women. Intersectin 1 (ITSN1) contributes to the actin cytoskeleton reconstruction in breast cancer.
Purpose: The objective of this study to explore the functions of ITSN1 in breast carcinoma.
Methods: We downloaded microarray datasets GSE8087, GSE50697, and GSE98238 from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were used to construct a protein–protein interaction (PPI) network using STRING database, and the modules from PPI network were verified by Cytoscape software. Gene ontology terms and Kyoto Encyclopedia of Gene and Genome pathway were used to analyze the biological functions using the DAVID database. ONCOMINE, GEPIA, UALCAN, and Human Protein Atlas databases were used to investigate the characteristics of ITSN1 for the prognosis of breast carcinoma. Cell counting kit-8, flow cytometry, and colony formation assays were used to detect cell viability, cell apoptosis, and cell proliferation. RT-PCR and Western blot assays were used to detect ITSN1, Ki67, and cleaved caspase-3 expressions.
Results: Low expressions of ITSN1 were significantly associated with clinical cancer stages. RT-PCR and Western blot analysis showed low expression of ITSN1 in breast cancer tissues and cell lines. ITSN1 inhibition could promote cell proliferation and inhibit cell apoptosis, while ITSN1 overexpression could inhibit cell proliferation and increase cell apoptosis by regulating the levels of expression of Ki67 and cleaved-caspase-3.
Conclusion: The results indicated that ITSN1 could be a prognostic biomarker for survivals of breast cancer patients.
Keywords: ITSN1, bioinformatic analysis, proliferation, apoptosis, breast cancer
