Mo Linlong, Liu Jiayou, Yang Ziquan, Gong Xun, Meng Fanlun, Zou Rongyang, Hou Lingmi, Fang Fang
Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
Human Anatomy Department of School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, China.
Gland Surg. 2020 Dec;9(6):1955-1972. doi: 10.21037/gs-20-431.
Breast cancer (BC) is the leading cause of tumor-related death in women worldwide, but its pathogenesis is not clear. The efficient screening of new therapeutic targets for BC through bioinformatics and biological experimental techniques has become a hot topic in BC research.
The bioinformatics method was used to analyze the gene chips and obtain the hub genes, playing an important role in the development of BC. The biological processes (BP) involved in the hub genes were analyzed by Bingo, and the impact of each hub gene on disease-free survival (DFS) and overall survival (OS) in BC patients was evaluated in the Kaplan-Meier Plotter database. The expression of , the hub gene with the greatest degree and having an effect on the prognosis of BC patients, was detected in BC cell lines and clinicopathological specimens. And was selected for further biological experiments and clinical prognosis verification.
Ten hub genes including , the greatest degree genes, were found by bioinformatics analysis of BC gene chips. expressions in both BC cell lines and clinicopathological specimens were detected and the results showed that was significantly down-regulated in BC cell lines and tissues. After interfering with the expression of , it was found that the invasion and migration ability of MDA-MB-231 cell line was significantly enhanced . The clinical survival data of BC patients showed that patients with high expression had longer DFS.
may be a tumor suppressor gene in BC as it could regulate invasion and migration of BC cells and its expression level is related to the prognosis of BC patients. Nevertheless, further researches are still necessary to verify its role in BC so as to provide evidences for clinical guidance regarding diagnosis and treatment.
乳腺癌（BC）是全球女性肿瘤相关死亡的主要原因，但其发病机制尚不清楚。通过生物信息学和生物学实验技术有效筛选BC的新治疗靶点已成为BC研究的热点话题。
采用生物信息学方法分析基因芯片并获得在BC发生发展中起重要作用的枢纽基因。通过Bingo分析枢纽基因所涉及的生物学过程（BP），并在Kaplan-Meier Plotter数据库中评估每个枢纽基因对BC患者无病生存期（DFS）和总生存期（OS）的影响。检测对BC患者预后影响最大且连接度最高的枢纽基因在BC细胞系和临床病理标本中的表达。并选择该基因进行进一步的生物学实验和临床预后验证。
通过对BC基因芯片进行生物信息学分析，发现了包括连接度最高的基因在内的10个枢纽基因。检测了该基因在BC细胞系和临床病理标本中的表达，结果显示其在BC细胞系和组织中显著下调。干扰该基因的表达后，发现MDA-MB-231细胞系的侵袭和迁移能力显著增强。BC患者的临床生存数据显示，该基因高表达的患者DFS更长。
该基因可能是BC中的一个肿瘤抑制基因，因为它可以调节BC细胞的侵袭和迁移，其表达水平与BC患者的预后相关。然而，仍需要进一步研究来验证其在BC中的作用，以便为临床诊断和治疗提供指导依据。
