Zhuo Wenlei, Zhang Liang, Zhu Yi, Xie Qichao, Zhu Bo, Chen Zhengtang
Institute of Cancer, Xinqiao Hospital, Third Military Medical University Chongqing, China.
College of Food Science and Nutritional Engineering, China Agriculture University Beijing, China.
Am J Cancer Res. 2015 Jun 15;5(7):2202-11. eCollection 2015.
Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI) have been used as a powerful targeting therapeutic agent for treatment of lung adenocarcinoma for years. Nevertheless, the efficacy of TKI was hampered by the appearance of acquired TKI-resistance. In the present study, we aimed to search, predict, and screen the agents that can overcome the acquired TKI-resistance of lung adenocarcinoma by using the expression profiles of differentially expressed genes (DEGs) and Connectivity map (CMAP). The profiles of DEGs were obtained by searching GEO microarray database, and then, they were submitted to CMAP for analysis in order to predict and screen the agent that might reverse the TKI-resistance of lung cancer cells. Next, the effects of the selected agent on TKI-resistant cancer cells were tested and the possible signaling pathways were also evaluated. As a result, valproic acid (VPA) was selected. Then, we used a low-concentration of VPA that has little effect on the cell growth for analysis. Interestingly, the results showed that treatment with a combination of VPA and Erlotinib significantly led to a decrease in cell viability and an increase in cell apoptosis for TKI-resistant HCC827-ER cells, relative to those treated with VPA or Erlotinib alone. Further experiments confirmed that inhibition of MAPK and AKT might be involved in this process. Analyzing the DEGs through the CMAP is a good strategy for exploitation of anti-tumor agents. VPA might markedly increase the sensitivity of TKI-resistant lung adenocarcinoma cells to Erlotinib, thus reversing the acquired TKI-resistance of cancer cells and raising VPA as a potential agent for TKI-resistant lung cancer therapy.
表皮生长因子受体(EGFR)酪氨酸激酶抑制剂(TKI)多年来一直被用作治疗肺腺癌的强效靶向治疗药物。然而,TKI的疗效因获得性TKI耐药性的出现而受到阻碍。在本研究中,我们旨在通过使用差异表达基因(DEG)的表达谱和连通图(CMAP)来搜索、预测和筛选能够克服肺腺癌获得性TKI耐药性的药物。通过搜索GEO微阵列数据库获得DEG的谱图,然后将其提交给CMAP进行分析,以预测和筛选可能逆转肺癌细胞TKI耐药性的药物。接下来,测试所选药物对TKI耐药癌细胞的影响,并评估可能的信号通路。结果,选择了丙戊酸(VPA)。然后,我们使用对细胞生长影响很小的低浓度VPA进行分析。有趣的是,结果表明,与单独使用VPA或厄洛替尼治疗的细胞相比,联合使用VPA和厄洛替尼治疗显著导致TKI耐药的HCC827-ER细胞的细胞活力降低和细胞凋亡增加。进一步的实验证实,抑制MAPK和AKT可能参与了这一过程。通过CMAP分析DEG是开发抗肿瘤药物的一个好策略。VPA可能会显著增加TKI耐药肺腺癌细胞对厄洛替尼的敏感性,从而逆转癌细胞获得性TKI耐药性,并将VPA提升为TKI耐药肺癌治疗的潜在药物。