小细胞肺癌关键基因及信号通路分析

毛昀; 李林潞; 薛鹏; 徐芃芃; 褚雪镭; 姜朋媛; 蔡亚芳; 朱世杰

doi:10.3971/j.issn.1000-8578.2019.18.2039

小细胞肺癌关键基因及信号通路分析

Key Genes and Signaling Pathways in Small Cell Lung Cancer

摘要

摘要:
目的探究SCLC基因调控机制，为寻找SCLC早期诊断及靶向治疗潜在的生物标志物提供依据。
方法采用生物信息学方法从公共基因芯片数据库获取小细胞肺癌（SCLC）mRNA数据并筛选出差异表达基因（DEGs），对DEGs进行基因本体（GO）和基因组百科全书数据库（KEGG）富集分析，构建蛋白互作网络，筛选出核心基因并利用Kaplan-Meier在线工具进行生存分析。
结果 17例SCLC组织样本和19例正常肺组织样本中筛选出248个DEGs，包括172个高表达基因和76个低表达基因（P < 0.05）。GO和KEGG富集分析结果显示，DEGs的功能主要涉及细胞周期、DNA复制、错配修复、P53信号通路等，蛋白互作分析网络筛选出6个节点度最高的核心基因：TOP2A、PCNA、RFC4、FEN1、CCNA2和MCM2，并与患者预后相关。
结论 DEGs涉及的分子功能和信号通路可能是SCLC发生的分子机制，而核心基因可能是治疗SCLC的潜在靶点。

Abstract:
Objective To explore the gene regulation mechanism of SCLC, so as to provide a basis for the early diagnosis and targeted treatment of SCLC with potential biomarkers.
Methods SCLC mRNA data were obtained from the public Gene chip database and DEGs were screened out. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted on DEGs. A protein interaction network was constructed. Core genes were screened out and Kaplan-Meier online tool was used for survival analysis.
Results A total of 248 differentially-expressed genes, including 172 up-regulated genes and 76 down-regulated genes, were screened out from 17 cases of small cell lung cancer tissue samples and 19 cases of normal tissue control samples (P < 0.05). The GO and KEGG enrichment analysis results showed that the functions of DEGs mainly involved in cell cycle, DNA replication, mismatch repair, p53 signaling pathway, etc. Through the protein interaction analysis network, the core genes with the highest degree of 6 nodes were selected: TOP2A, PCNA, RFC4, FEN1, CCNA2 and MCM2, which were related to the prognosis of patients.
Conclusion The molecular functions and signaling pathways involved in DEGs may be the molecular mechanism of the occurrence of SCLC, and core genes may be potential targets for the treatment of SCLC.

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