基于组学数据分析的非小细胞肺癌亚型特征识别  

Lung squamous cell carcinoma subtyping and feature identification based on-omics data analysis

作　　者：胡曦 慕玉东 吴晓明[1] 王丽娜 杜建强[1] 马天有[3] 

机构地区：[1]西安交通大学生物医学信息工程教育部重点实验室,陕西西安710049 [2]陕西省肿瘤医院检验科,陕西西安710061 [3]西安交通大学医学部环境与疾病教育部重点实验室,陕西西安710061

出　　处：《现代肿瘤医学》2018年第3期375-378,共4页Journal of Modern Oncology

基　　金：陕西省科技计划项目(编号:2011K12-02-04;2011K12-04-06;2016SF-229)

摘　　要：目的:探索非小细胞肺癌4种亚型在基因组、转录组层次的特征,实现对肿瘤类型的精确分型,获取能够体现非小细胞肺癌亚型的基因组学特征。方法:利用NMF聚类和生存时间分析,对TCGA数据库中的504个非小细胞肺癌样本的拷贝数变异数据和基因表达数据进行分析,对不同疾病亚型的差异表达基因进行富集分析。结果:所有肺癌患者可根据基因变异信息分为4个类别,它们具有不同的基因组特征,其生存时间曲线具有显著差异,同时发现吸烟是肺癌亚型的一个决定因素。结论:通过检测遗传特征和基因表达特征,有助于对非小细胞肺癌患者进行疾病亚型精准判定。Objective：To identify tumor subtypes in non -small cell lung cancer, and to explore the features hid- den in genome level data and transcriptome level data. Methods：By using the NMF clustering and survival analysis, copy number variation and gene expression data of 504 non - small cell lung cancer samples were downloaded from the TCGA database, and were analyzed. Functions of genes related to different disease subtypes were enriched. Re- stilts：All patients with lung cancer could be stratified into four categories according to genetic variation information and gene expression value. The survival times of patients in different subtypes have remarkable difference according to survival curve analysis. Smoking is an influence factors in lead to the subtypes of lung squamous cell carcinoma. Con- clusion ： By investigat the genetic features and gene expression features, subtypes of patients with non - small cell lung cancer could be accurate judged, which is useful for selecting therapeutic methods.

关 键 词：肺鳞癌 基因组 生物信息 亚型识别 

分 类 号：R734.2[医药卫生—肿瘤]