KIF2C在乳腺癌中的表达及其对肿瘤生长的影响<sup>★</sup>

doi:10.3969/j.issn.2095-1264.2024.04.10

首页 > 过刊浏览>2024年第4期 >448-456. DOI:10.3969/j.issn.2095-1264.2024.04.10

KIF2C在乳腺癌中的表达及其对肿瘤生长的影响★
DOI:
                        10.3969/j.issn.2095-1264.2024.04.10
                    
作者:
                        
                        
                    
作者单位:广西医科大学第一附属医院 胃肠腺体外科，广西 南宁，530021
作者简介:麦孜悦，女，硕士研究生，研究方向：乳腺癌基础与临床研究。
通讯作者:曾健，男，硕士，主任医师，研究方向： 乳腺癌基础与临床研究。
中图分类号:R737.9
基金项目:★广西科技计划项目（桂科AB18126054）。

Expression of KIF2C in breast cancer and its effect on tumor growth^★

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Department of Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China

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摘要:

目的探讨驱动蛋白家族成员2C（KIF2C）在乳腺癌中的表达及其对乳腺癌细胞增殖、迁移和侵袭的影响。方法收集TCGA数据库及GEO数据库的GSE1456、GSE9195、GSE4922和GSE96058数据集中乳腺癌患者的数据，采用生物信息学方法进行分析，鉴定关键基因KIF2C，预测KIF2C在乳腺癌中的表达及其预后价值。收集39例乳腺癌患者的癌组织及癌旁组织样本，采用免疫组织化学法检测KIF2C蛋白的表达。采用qPCR和JESS全自动蛋白分析仪检测正常乳腺细胞MCF10A和乳腺癌细胞系MCF7、T47D、SK-BR-3、MDA-MB-231、BT474中KIF2C的mRNA和蛋白表达。选取mRNA及蛋白均呈高表达的细胞株进行慢病毒感染沉默KIF2C，采用免疫荧光检测Ki-67表达水平，Transwell法检测细胞迁移和侵袭能力，流式细胞术检测细胞周期。结果在TCGA-BRCA数据库中收集到661个乳腺癌差异表达基因（DEG），与GSE1456、GSE9195、GSE4922和GSE96058数据集取交集后，得到37个表达有显著差异的乳腺癌复发相关预后基因。运用RAA算法鉴定出5个关键基因，并对其中的KIF2C进行初步生物信息学分析。免疫组织化学检测结果显示，KIF2C在乳腺癌组织中高表达。qRT-PCR和JESS全自动蛋白分析仪检测结果显示，与正常乳腺细胞MCF10A相比，乳腺癌细胞MDA-MB-231中KIF2C表达水平显著升高。沉默KIF2C可抑制MDA-MB-231细胞的增殖、迁移和侵袭能力，使细胞周期S期受到阻滞。结论 KIF2C在乳腺癌组织和细胞中高表达，沉默KIF2C可抑制乳腺癌细胞增殖、迁移和侵袭。

Abstract:

Objective To investigate the expression of kinesin family member 2C (KIF2C) in breast cancer and its effects on the proliferation, migration and invasion of breast cancer cells.Methods The data of breast cancer patients in GSE1456, GSE9195, GSE4922 and GSE96058 datasets of the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database were collected and analyzed by bioinformatics methods to identify the key gene KIF2C and to predict the expression and prognostic value of KIF2C in breast cancer. The expression of KIF2C protein in 39 cases of breast cancer tissues and adjacent tissues was detected by immunohistochemistry. qPCR and JESS automatic protein analyzer were used to detect the mRNA and protein expression of KIF2C in normal breast cells MCF10A and breast cancer cell lines MCF7, T47D, SK-BR-3, MDA-MB-231 and BT474. The cell lines with high mRNA and protein expression were selected for lentivirus infection to silence KIF2C. Immunofluorescence was used to detect the expression of Ki-67. Transwell method was used to detect the migration and invasion ability of cells, and flow cytometry was used to detect the cell cycle.Results A total of 661 differentially-expressed genes (DEGs) in breast cancer were collected from the TCGA-BRCA database. After intersected with GSE1456, GSE9195, GSE4922 and GSE96058 datasets, 37 breast cancer recurrence-related prognostic DEGs were obtained. Five key genes were identified by RAA algorithm, and KIF2C was preliminarily analyzed by bioinformatics. Immunohistochemistry results showed that KIF2C was highly expressed in breast cancer tissues. The results of qRT-PCR and JESS automatic protein analyzer showed that the expression level of KIF2C in breast cancer cells MDA-MB-231 was significantly higher than that in normal breast cells MCF10A. Silencing KIF2C could inhibit the proliferation, migration and invasion of MDA-MB-231 cells, and block the S phase of cell cycle.Conclusion KIF2C is highly expressed in breast cancer tissues and cells, and silencing KIF2C can inhibit the proliferation, migration, and invasion of breast cancer cells.