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祁春艳, 吴涛, 齐晓光. ALK融合基因阳性肺腺癌患者耐药核心基因鉴定及药物靶点分析[J]. 肿瘤防治研究, 2021, 48(5): 451-456. DOI: 10.3971/j.issn.1000-8578.2021.20.1206
引用本文: 祁春艳, 吴涛, 齐晓光. ALK融合基因阳性肺腺癌患者耐药核心基因鉴定及药物靶点分析[J]. 肿瘤防治研究, 2021, 48(5): 451-456. DOI: 10.3971/j.issn.1000-8578.2021.20.1206
QI Chunyan, WU Tao, QI Xiaoguang. Identification of Drug-resistance Core Genes and Drug Targets in Lung Adenocarcinoma Patients Harboring ALK Fusion Gene[J]. Cancer Research on Prevention and Treatment, 2021, 48(5): 451-456. DOI: 10.3971/j.issn.1000-8578.2021.20.1206
Citation: QI Chunyan, WU Tao, QI Xiaoguang. Identification of Drug-resistance Core Genes and Drug Targets in Lung Adenocarcinoma Patients Harboring ALK Fusion Gene[J]. Cancer Research on Prevention and Treatment, 2021, 48(5): 451-456. DOI: 10.3971/j.issn.1000-8578.2021.20.1206

ALK融合基因阳性肺腺癌患者耐药核心基因鉴定及药物靶点分析

Identification of Drug-resistance Core Genes and Drug Targets in Lung Adenocarcinoma Patients Harboring ALK Fusion Gene

  • 摘要:
    目的 探讨ALK融合基因阳性肺腺癌患者原发灶及转移灶基因表达谱的差异,从而探索转移灶耐药机制及相应的药物靶点分析。
    方法 GEO数据库中选取GSE125864,根据肿瘤组织取材部位不同分为原发灶组和转移灶组。首先,比较两组患者之间显著差异基因的表达,并分析这些显著差异基因在生物学功能和富集信号通路等方面的不同;其次,对显著差异基因进行蛋白-蛋白互作网络分析及关键模块、核心基因分析。最后,基于TCGA和癌症治疗反应门户数据库对筛选的10个关键核心进行预后、药物靶点预测等分析。
    结果 共筛选出227个差异基因,以肺腺癌原发灶为对照组,转移灶中共发现134个上调基因,93个下调差异基因;GO和KEGG富集分析显示,这些差异基因的功能主要涉及补体和凝血级联、化学致癌作用、视黄醇的新陈代谢等信号通路;通过蛋白-蛋白互作网络分析,筛选了10个核心基因,其中HRG、AHSG基因表达与肺腺癌不良预后相关,SERPINC1、HRG、APOA1、FGA、FGG等与多种潜在的小分子药物有一定相关性。
    结论 显著差异基因涉及的分子功能及信号通路可能引起ALK阳性肺腺癌患者转移灶耐药。

     

    Abstract:
    Objective To compare DEGs between primary and metastatic lesions in lung adenocarcinoma patients with positive ALK fusion gene, and to explore the mechanism of drug-resistance and the potential drug targets in metastatic lesions of lung adenocarcinoma patients.
    Methods GSE125864 was obtained from GEO database. According to the different sampling sites of tumor tissue, two groups were divided: primary tumor lesions group and metastatic tumor lesions group. The DEGs between the two groups were compared, and the differences in biological functions and enrichment signaling pathways of these DEGs were analyzed. The protein-protein interaction network was constructed and applied to screen hub genes. Based on TCGA and cancer treatment response portal database, the prognosis and drug target prediction of the 10 key cores were analyzed.
    Results In total, 227 DEGs were identified, with 134 upregulated DEGs and 93 downregulated DEGs in the metastatic tumor lesions group, compared with primary tumor lesions group. GO and KEGG enrichment analyses showed that the functions of these DEGs were mainly involved in complement and coagulation cascade, chemical carcinogenesis and retinol metabolism pathways. The top 10 hub genes with the highest degree were analyzed in the protein-protein interaction network. The expression of HRG and AHSG genes were associated with poor prognosis of lung adenocarcinoma patients, and SERPINC1, HRG, ApoA1, FGA and FGG genes were correlated with a variety of potential small molecule drugs.
    Conclusion The molecular functions and signaling pathways involved in DEGs may induce drug-resistance in metastatic ALK-positive lung adenocarcinoma patients.

     

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