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Hsp90抑制剂Ganetespib联合培美曲塞对肺腺癌细胞的影响

杨晟强 王平

杨晟强, 王平. Hsp90抑制剂Ganetespib联合培美曲塞对肺腺癌细胞的影响[J]. 昆明医科大学学报, 2024, 45(7): 30-41. doi: 10.12259/j.issn.2095-610X.S20240705
引用本文: 杨晟强, 王平. Hsp90抑制剂Ganetespib联合培美曲塞对肺腺癌细胞的影响[J]. 昆明医科大学学报, 2024, 45(7): 30-41. doi: 10.12259/j.issn.2095-610X.S20240705
Shengqiang YANG, Ping WANG. Effect of Hsp90 Inhibitor Ganetespib Combined with Pemetrexed on Lung Adenocarcinoma Cells[J]. Journal of Kunming Medical University, 2024, 45(7): 30-41. doi: 10.12259/j.issn.2095-610X.S20240705
Citation: Shengqiang YANG, Ping WANG. Effect of Hsp90 Inhibitor Ganetespib Combined with Pemetrexed on Lung Adenocarcinoma Cells[J]. Journal of Kunming Medical University, 2024, 45(7): 30-41. doi: 10.12259/j.issn.2095-610X.S20240705

Hsp90抑制剂Ganetespib联合培美曲塞对肺腺癌细胞的影响

doi: 10.12259/j.issn.2095-610X.S20240705
基金项目: 云南省科技厅科技计划基金资助项目(202201AY070001-120)。
详细信息
    作者简介:

    杨晟强(1997~),男,浙江金华人,在读硕士研究生,主要从事肺癌研究工作

    通讯作者:

    王平, E-mail:wangping2467@126.com

  • 中图分类号: R734.2

Effect of Hsp90 Inhibitor Ganetespib Combined with Pemetrexed on Lung Adenocarcinoma Cells

  • 摘要:   目的  探索Ganetespib和培美曲塞体外对人肺腺癌细胞增殖、凋亡和相关信号通路的影响。  方法  人肺腺癌细胞HCC827、H1975、A549分组(Ganetespib组、培美曲塞组、2药联用组),同时设置对照组(DMSO 0.2%),培养48 h后,Cell Titer-Glo(CTG)法体外检测抑制细胞增殖能力,Western blot检测细胞中Akt、p-Akt、Bcl-2蛋白表达水平,细胞凋亡实验检测细胞凋亡率,RNA-seq检测2药物对于HCC827细胞转录组水平的影响。  结果  抑制细胞增殖效果Ganetespib>培美曲塞(P < 0.001),2药联用时抑制效果较单药增强(P < 0.0001);细胞凋亡率Ganetespib>培美曲塞(P < 0.05),2药联用时HCC827细胞凋亡率较单药升高;Ganetespib组Akt蛋白磷酸化水平降低(P < 0.05),培美曲塞组Akt蛋白磷酸化水平升高(P < 0.05),2药联用组结果与Ganetespib组无明显差别,Bcl-2蛋白仅在A549细胞中下调(P < 0.01);2药物对HCC827细胞株的基因转录水平有影响,Ganetespib组上调的差异表达基因为102个,下调有27个,培美曲塞组的上调差异表达基因为53个,下调有8个。  结论  Ganetespib联用培美曲塞可明显抑制肺腺癌细胞HCC827、H1975和A549的增殖,诱导细胞凋亡,其分子机制可能是通过PI3K/AKT信号通路的蛋白质磷酸化来抑制肺腺癌细胞增殖。联合用药可一定程度增强抑制肺腺癌细胞增殖作用,具体机制需进一步研究。
  • 图  1  Ganetespib、培美曲塞及联用对肺腺癌细胞增殖能力的影响

    A:HCC827细胞增殖情况;B:H1975细胞增殖情况;C:A549细胞增殖情况。**P < 0.05,***P < 0.001,****P < 0.0001。

    Figure  1.  Effects of Ganetespib,pemetrexed and combined treatment on the proliferation of lung adenocarcinoma cells

    图  2  Western blot检测细胞中Akt、p-Akt和Bcl-2的表达情况

    A:HCC827蛋白表达;B:H1975蛋白表达;C:A549蛋白表达;D:HCC827磷酸化Akt统计学分析;E:H1975磷酸化Akt统计学分析;F:A549磷酸化Akt统计学分析;G:HCC827 Bcl-2统计学分析;H:H1975 Bcl-2统计学分析;I:A549 Bcl-2统计学分析。*P < 0.05,**P < 0.01, ***P < 0.001 ,****P < 0.0001。

    Figure  2.  The expression levels of Akt,p-Akt and Bcl-2 in the cells were detected by Western blot

    图  3  Ganetespib和pemetrexed对细胞凋亡率的影响

    A:HCC827;B:H1975;C:A549。****P < 0.0001。

    Figure  3.  Effect of Ganetespib and pemetrexed on apoptosis rate

    图  4  差异基因表达数目

    图中红色表示上调基因数量,蓝色表示下调基因数量。

    Figure  4.  Number of differential gene expression

    图  5  PCA分析结果

    X轴表示第1主成份贡献率,Y轴表示第2主成份贡献率。不同的点代表不同的样品,相同的颜色表示为同1个样品组。

    Figure  5.  PCA analysis results

    图  6  差异基因表达情况火山图

                   A:Ganetespib-VS-对照组;B:培美曲塞-VS-对照组。x轴是某个具体基因因子数量上的差额(log2),y轴是该种生物因素的变化程度和其相应的负向逻辑指数计算结果。红点代表上调的基因,蓝点代表下调的基因。

    Figure  6.  Volcano map of differential gene expression

    图  7  基因差异表达的MA图

                   A:Ganetespib-VS-对照组;B:培美曲塞-VS-对照组。观察到的是MA图像上的显著区别标志着各种生物体内的独特蛋白质序列的存在。该轴是A参数,它反映了FPKM的均方根变化率的变化情况。而M是另1个重要指标,用于衡量 log2 ( FC ) 对样本间蛋白水平差别的度量标准,这被用来评估这些数据是否存在统计学意义和实际效应的大小。红色圆圈标识出那些呈现上升趋势的关键变种,蓝色则是下降模式的表现形式,黑色符号显示没有明显的差别现象发生的情况。

    Figure  7.  MA map of gene differential expression

    图  8  差异表达基因的聚类热图结果

    A:Ganetespib、培美曲塞和对照组组间交集差异基因分析;B:Ganetespib、培美曲塞和对照组组间并集差异基因分析;C:Ganetespib和对照组组间差异基因分析。横轴展示了每个样本和其对应的分类结果,而纵轴则是每1个有显著差别的基因及它们各自的分类成果。

    Figure  8.  Cluster heat map results of differentially expressed genes

    图  9  差异基因GO功能分类图

                A:Ganetespib处理后GO功能分类;B:培美曲塞处理后GO功能分类。X轴:差异表达基因的数量,Y轴:不同的大类用不同的颜色表示;每个大类中单独的柱子表示其中的1个子类。

    Figure  9.  GO functional classification map of differential genes

    图  10  差异基因的KEGG富集散点图

              A:Ganetespib处理后KEGG功能分类;B:培美曲塞处理后KEGG功能分类。横轴代表Richfactor,其值越大,富集程度越高;纵轴则是Pathway的名称。在这个pathway中,差异性基因的数量由相应点的大小来标识,而qvalue范围则与对应点的颜色深浅进行匹配。

    Figure  10.  KEGG distribution point diagram of differential genes

    表  1  参考基因比对结果及基因表达个数

    Table  1.   Reference gene comparison results and gene expression numbers

    样品名 测序序列 基因占比(%) 总基因数(个) 已知基因数(个) 新基因数(个)
    HCC827-1 60599120 60.12 15432 15432 0
    HCC827-2 84059840 63.87 15899 15899 0
    HCC827-3 64289534 58.25 16287 16287 0
    HCC827-4 65960004 62.49 15423 15423 0
    HCC827-5 66589904 62.06 15786 15786 0
    HCC827-6 62855002 59.33 16303 16303 0
    HCC827-7 61549178 61.29 15467 15467 0
    HCC827-8 60140870 60.83 15614 15614 0
    HCC827-9 66496334 56.70 16318 16318 0
    下载: 导出CSV

    表  2  KEGG PATHWAY数据库信息分类

    Table  2.   Information classification of KEGG pathway database

    Metabolism新陈代谢12个子类
    Genetic Information processing遗传信息加工4个子类
    Environmental Information processing环境信息加工3个子类
    Cellular processes细胞过程5个子类
    Organismal Systems生物体系统10个子类
    Human diseases人类疾病12个子类
    Drug development药物开发11个子类
    下载: 导出CSV
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出版历程
  • 收稿日期:  2024-03-12
  • 网络出版日期:  2024-06-15
  • 刊出日期:  2024-07-25

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