陈奇, 武惠韬, 孙金秀, 薛万国, 石金龙. 胃癌转移的分子特征分析及预后评估[J]. 解放军医学院学报, 2019, 40(8): 745-749. DOI: 10.3969/j.issn.2095-5227.2019.08.009
引用本文: 陈奇, 武惠韬, 孙金秀, 薛万国, 石金龙. 胃癌转移的分子特征分析及预后评估[J]. 解放军医学院学报, 2019, 40(8): 745-749. DOI: 10.3969/j.issn.2095-5227.2019.08.009
CHEN Qi, WU Huitao, SUN Jinxiu, XUE Wanguo, SHI Jinlong. Molecular characteristics and prognostic evaluation of metastatic gastric cancer[J]. ACADEMIC JOURNAL OF CHINESE PLA MEDICAL SCHOOL, 2019, 40(8): 745-749. DOI: 10.3969/j.issn.2095-5227.2019.08.009
Citation: CHEN Qi, WU Huitao, SUN Jinxiu, XUE Wanguo, SHI Jinlong. Molecular characteristics and prognostic evaluation of metastatic gastric cancer[J]. ACADEMIC JOURNAL OF CHINESE PLA MEDICAL SCHOOL, 2019, 40(8): 745-749. DOI: 10.3969/j.issn.2095-5227.2019.08.009

胃癌转移的分子特征分析及预后评估

Molecular characteristics and prognostic evaluation of metastatic gastric cancer

  • 摘要:
      目的  利用生物信息学分析转移性胃癌和原位胃癌的在分子水平的差异,揭示转移性胃癌进展机制,为精准诊疗和预后评估提供潜在的分子靶点。
      方法  从TCGA公共数据库获取胃癌患者RNA-Seq及DNA甲基化芯片数据,筛选转移性胃癌和原位胃癌在两个组学维度的一致性差异基因,评估其功能及富集通路并进行风险回归分析。
      结果  筛选出一致性差异基因170个,转移组上调基因52个、下调基因118个。功能分析提示免疫调节、细胞分化、外源信号感应、自噬与溶酶体转运、药物及蛋白代谢等信号通路与转移性胃癌发生有关。针对上述基因进行预后风险评估,发现RTP3、GTF3C5、TMEM102、NHLRC3、FUT2、PGAP2、AAMP是与转移风险相关的7个关键基因,其联合表达信号可用于胃癌患者的预后评估。
      结论  由7个关键基因组成的联合因子可为胃癌预后评估提供依据,是临床检测的潜在生物学标记物。

     

    Abstract:
      Objective  To explore the molecular characteristics in the metastatic progress of gastric cancer, and screen potential biomarkers for the precision diagnosis and target therapy of metastatic gastric cancer.
      Methods  The RNA-Seq data and DNA methylation data of gastric cancer patients were obtained from public datasets TCGA, and the differential genes between primary gastric cancer (n=158) and metastatic gastric cancer (n=176) were screened and the correlation analysis was carried out by R language.
      Results  A total of 170 differential genes were identified in the metastatic group, including 52 up-regulated and 118 down-regulated genes. Functional analysis revealed that those differential genes were mainly involved in immune regulation, cell differentiation, exogenous signal induction, autophagy and lysosomal transport, drug and protein metabolism and other signaling pathways. Further, risk analysis revealed that expressions of RTP3, GTF3C5, TMEM102, NHLRC3, FUT2, PGAP2 and AAMP, were related to the prognosis of gastric cancer.
      Conclusion  The combination of 7 genes identified in our study may become indicators for the prognostic evaluation of gastric cancer.

     

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