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中华胸部外科电子杂志 ›› 2023, Vol. 10 ›› Issue (03) : 164 -175. doi: 10.3877/cma.j.issn.2095-8773.2023.03.06

论著

胞质分裂蛋白调节因子1对肺腺癌细胞迁移、侵袭和增殖的影响
李世浩, 李子豪, 董博, 吴春莉, 吴彬, 盛银良, 齐宇()   
  1. 450052 郑州,郑州大学第一附属医院胸外科
  • 收稿日期:2022-10-06 修回日期:2023-01-30 接受日期:2023-05-16 出版日期:2023-08-28
  • 通信作者: 齐宇
  • 基金资助:
    河南省科学技术厅科技攻关项目(222102310239); 北京医卫健康公益基金会医学科学研究基金资助项目(B20610AN)

Effects of protein regulator of cytokinesis 1 on migration, invasion and proliferation of lung adenocarcinoma cell

Shihao Li, Zihao Li, Bo Dong, Chunli Wu, Bin Wu, Yinliang Sheng, Yu Qi()   

  1. Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
  • Received:2022-10-06 Revised:2023-01-30 Accepted:2023-05-16 Published:2023-08-28
  • Corresponding author: Yu Qi
引用本文:

李世浩, 李子豪, 董博, 吴春莉, 吴彬, 盛银良, 齐宇. 胞质分裂蛋白调节因子1对肺腺癌细胞迁移、侵袭和增殖的影响[J]. 中华胸部外科电子杂志, 2023, 10(03): 164-175.

Shihao Li, Zihao Li, Bo Dong, Chunli Wu, Bin Wu, Yinliang Sheng, Yu Qi. Effects of protein regulator of cytokinesis 1 on migration, invasion and proliferation of lung adenocarcinoma cell[J]. Chinese Journal of Thoracic Surgery(Electronic Edition), 2023, 10(03): 164-175.

目的

探讨胞质分裂蛋白调节因子1(PRC1)对肺腺癌细胞迁移、侵袭和增殖以及预后的影响。

方法

从基因表达数据库(GEO)获得GSE7670、GSE32863和GSE68465非小细胞肺癌转录组表达队列,并对3个队列进行差异分析,然后对差异基因进行富集分析。从癌症基因组图谱(TCGA)获得差异基因的表达和临床数据,通过加权基因共表达网络分析(WGCNA)得到与肿瘤分期和淋巴结转移相关的模块,对模块基因进行蛋白质相关网络分析(STRING)得到核心基因,从mRNA和蛋白质两个层面验证PRC1在肺腺癌和正常组织中的差异表达。之后,在人肺腺癌细胞系H1299中敲除PRC1的表达,进行体外功能实验从而验证PRC1对肺腺癌细胞迁移、侵袭和增殖能力的影响。采用t检验比较两组间PRC1表达差异,二元logistic回归分析预测肿瘤的独立预后影响因子。最后,对PRC1在调控肺腺癌转移的下游机制进行相关研究。

结果

肺腺癌中PRC1 mRNA和蛋白质的表达量均高于正常肺组织,差异均有统计学意义(均P<0.05)。Si-PRC1组细胞在迁移实验(P<0.001)、侵袭实验(P<0.001)和划痕实验(P<0.001)中均显著低于对照组;Si-PRC1组细胞的增殖能力在72和96 h处明显低于对照组。在肿瘤患者中,PRC1高表达的患者总生存期更短(P=0.0014)。qPCR结果表明,在PRC1被敲低的细胞中E-cadherin表达显著上调(P<0.001),N-cadherin和Vimentin的表达均显著下调(P<0.01)。蛋白质印迹法结果显示,PRC1敲除的肿瘤细胞中激活的磷酸化MAPK信号减弱。

结论

PRC1与患者不良预后有关,影响肺腺癌淋巴结的转移和肿瘤细胞增殖、迁移和侵袭能力,是肺腺癌潜在的生物标志物。

Objective

To investigate the effect of protein regulator of cytokinesis 1 (PRC1) on lymph node metastasis, migration, proliferation and prognosis of lung adenocarcinoma.

Methods

The non-small cell lung cancer expression matrix was obtained from Gene Expression Omnibus (GEO), including GSE7670, GSE32863 and GSE68465. Firstly, differential analysis was performed on the three datasets to obtain differentially expressed genes, which were then subjected to enrichment analysis. Secondly, the clinical and expression data of differentially expressed genes were obtained from The Cancer Genome Atlas (TCGA) database. The data was used for weighted gene co-expression network analysis (WGCNA) to obtain the module most relevant to clinical characteristics including tumor stage and lymph node metastasis. Thirdly, the hub gene was obtained through analysis of the module genes using the Search Tool for the Retrieval of Interaction Genes/Proteins (STRING) and binary logistic regression analysis. Subsequently, the expression level of PRC1 in both mRNA and protein levels between lung adenocarcinoma and normal tissues was validated. After knocking down the expression of PRC1 in human lung adenocarcinoma cell line H1299, in vitro functional experiments were conducted to validate the impact of PRC1 on the proliferation, migration, and invasion abilities of lung adenocarcinoma cells. T-test was used to compare the difference of PRC1 expression between normal and tumor tissues, and binary logistic regression analysis was performed to identify independent factors affecting tumor prognosis. Additionally, the downstream mechanism of PRC1 in regulating the metastasis of lung adenocarcinoma cells was investigated.

Results

The expression level of PRC1 was higher in lung adenocarcinoma tissues compared to normal lung tissues, at both mRNA and protein levels, with statistical significance. The cells in the Si-PRC1 group were significantly lower than that in the control group in migration experiments (P<0.001), invasion experiments (P<0.001), and scratch experiments (P<0.001). The proliferation ability of Si-PRC1 group cells was significantly lower than that of the control group at 72 and 96 hours. Patients with high expression of PRC1 in lung adenocarcinoma had shorter overall survival (P=0.0014). The qPCR results showed that E-cadherin expression was significantly upregulated (P<0.001) in PRC1 knockdown cells, while N-cadherin and Vimentin expression were significantly downregulated (P<0.01). Western blot results showed that the activated phosphorylated MAPK signal was weakened in PRC1 knockout tumor cells.

Conclusions

PRC1 is associated with poor prognosis of LUAD patients and affects lymph node metastasis and tumor cells proliferation, migration and invasion. PRC1 is a potential therapeutic target for lung adenocarcinoma.

图1 3个数据集的差异分析,筛选条件为:调整后P<0.05和|log2FoldChange|>1。A:GSE7670中获得差异基因1 578个;B:GSE32863中获得差异基因1 263个;C:GSE68465中获得差异基因3 042个;D:3个数据集的交集基因:340个
图2 差异基因的富集分析。A:差异基因在细胞组成的富集情况;B:差异基因在分子功能的富集情况;C:差异基因在生物过程的富集情况;D:差异基因在生物通路的富集情况
图3 差异基因的WGCNA。A:通过平均层次聚类和动态树裁剪,将无标度mRNA网络聚类为8个模块;B:热图表示差异基因与肺腺癌分期、N、T和M的关系;C:蓝色模块与分期的关系;D:蓝色模块与N的关系
表1 二元logistic回归分析——Stage
表2 二元logistic回归分析——N
图4 PRC1对人肺腺癌细胞系H199的影响。A:Si-PRC1#1、Si#2、Si#3在H199细胞中的敲低效率;B:迁移和侵袭实验表明PRC1敲低细胞的迁移和侵袭能力明显低于对照组;C:划痕实验表明PRC1敲低细胞的迁移和生长能力明显低于对照组;D:增殖实验表明PRC1敲低细胞的增殖能力在72和96 h处明显低于对照组
图5 PRC1对上皮-间质转化通路相关分子的影响。A:qPCR分析显示PRC1敲除对上皮-间质转化通路相关分子的影响。B:qPCR显示PRC1敲除对MMP家族相关基因的影响。C:蛋白质印迹法展示Si-PRC1在MAPK/Erk信号通路的表达情况(**P<0.01,***P<0.001,****P<0.0001)
图6 PRC1在肿瘤组织中的表达水平和预后。A:PRC1在肺腺癌组织中(n=483)的表达量明显高于正常组织(n=347);B:免疫组织化学显示PRC1在正常组织为低表达,而在肺腺癌组织中为中等表达;C:PRC1高表达的肺腺癌病人总生存期明显小于低表达病人(P=0.0012)
图7 PRC1相关的miRNAs的研究。A:miRDB、TargetScan和TarBase数据库结果的交集;B:miRNAs与PRC1之间可能的结合位点;C:肺腺癌组织中PRC1表达与hsa-miR-512-3p表达的相关性
图8 PRC1相关的lncRNAs的研究。A:热图显示模块与临床性状(Stage和N分期)、PRC1表达水平之间的相关性;B:通过最大集团中心性(MCC)算法识别绿色模块前15位的核心lncRNAs(核心节点的颜色代表枢纽级别,红色最高,橙色次之);C:SRGAP3.AS2、LINC01765和AC096637.2等3个核心lncRNAs在细胞层面的表达水平(**P<0.01)
图9 PRC1对肿瘤微环境以及免疫方面的影响。A:PRC1高、低表达组相关基因的GO富集分析;B:PRC1高、低表达组相关基因的KEGG富集分析;C:PRC1高、低表达组对免疫细胞浸润程度的影响。D:PRC1高、低表达组对肺腺癌肿瘤微环境的影响;E:PRC1高、低表达组对常见抗肿瘤药物敏感性的影响(*P<0.05,**P<0.01,***P<0.001)
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