Non-small-cell lung cancer pathological subtype-related gene selection and bioinformatics analysis based on gene expression profiles

Non-small-cell lung cancer pathological subtype-related gene selection and bioinformatics analysis based on gene expression profiles
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DOI:
10.3892/mco.2017.1516
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发表时间:
2018-02-01
影响因子:
1.2
通讯作者:
Peng, Bin
Peng, Bin
中科院分区:
其他
文献类型:
--
作者:
Chen, Jiangpeng;Dong, Xiaoqi;Peng, Bin

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肺癌是最常见的恶性疾病之一,也是全球范围内公共卫生的主要威胁。非小细胞肺癌(NSCLC)与小细胞肺癌相比,恶性程度较高,5年生存率较低。 NSCLC主要可分为两种病理亚型:腺癌和鳞状细胞癌。本研究的目的是根据基因表达谱和加权功能蛋白关联网络的最短路径分析以及来自相互作用基因检索搜索工具的现有蛋白质-蛋白质相互作用数据来识别疾病基因。基因表达谱(GSE10245)从国家生物技术信息中心基因表达综合数据库下载,包括40例肺腺癌和18例肺鳞癌组织。预处理后,使用朴素贝叶斯分类器基于最大相关性最小冗余特征选择方法,总共鉴定了 8 个疾病基因。使用 Dijkstra 算法的最短路径分析选择了另外 21 个候选基因。在最短路径分析中,AURKA 和 SLC7A2 基因分别被选择了 3 次和 2 次。所有这些基因都参与许多重要的途径,例如卵母细胞减数分裂、细胞周期和癌症途径以及京都基因和基因组百科全书途径富集分析。目前的研究结果可能为非小细胞肺癌的发病机制提供新的见解,并有助于开发新的治疗策略。然而,需要进一步调查来证实这些发现。
Lung cancer is one of the most common malignant diseases and a major threat to public health on a global scale. Non-small-cell lung cancer (NSCLC) has a higher degree of malignancy and a lower 5-year survival rate compared with that of small-cell lung cancer. NSCLC may be mainly divided into two pathological subtypes, adenocarcinoma and squamous cell carcinoma. The aim of the present study was to identify disease genes based on the gene expression profile and the shortest path analysis of weighted functional protein association networks with the existing protein-protein interaction data from the Search Tool for the Retrieval of Interacting Genes. The gene expression profile (GSE10245) was downloaded from the National Center for Biotechnology Information Gene Expression Omnibus database, including 40 lung adenocarcinoma and 18 lung squamous cell carcinoma tissues. A total of 8 disease genes were identified using Naive Bayesian Classifier based on the Maximum Relevance Minimum Redundancy feature selection method following preprocessing. An additional 21 candidate genes were selected using the shortest path analysis with Dijkstra's algorithm. The AURKA and SLC7A2 genes were selected three and two times in the shortest path analysis, respectively. All those genes participate in a number of important pathways, such as oocyte meiosis, cell cycle and cancer pathways with Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. The present findings may provide novel insights into the pathogenesis of NSCLC and enable the development of novel therapeutic strategies. However, further investigation is required to confirm these findings.