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腺癌和鳞状细胞癌中差异表达基因的双聚类和调控网络分析

Bicluster and regulatory network analysis of differentially expressed genes in adenocarcinoma and squamous cell carcinoma.

作者信息

Li L, Zhu J, Guo S-X, Deng Y

机构信息

Department of Thoracic Oncology, Cancer Center, West China Hospital, Medical School, Sichuan University, GuoXueXiang, Chengdu, Sichuan, China.

出版信息

Genet Mol Res. 2013 May 21;12(2):1710-9. doi: 10.4238/2013.May.21.2.

DOI:10.4238/2013.May.21.2
PMID:23765977
Abstract

Squamous cell carcinoma (SCC) and adenocarcinoma (AC) are the major histological types of non-small cell lung cancer (NSCLC). Although differences in molecular, histological, and clinical characteristics have been reported for both subtypes, no specific therapy exists thus far. The aim of this analysis was to identify potential therapeutic target genes that are specific to SCC and AC. We used microarray data to analyze the global gene expression profile of 58 human NSCLC specimens. We identified more than 2400 genes that were differentially expressed in SCC and AC. Bicluster analysis with iterative signature algorithm revealed 22 biclusters that were strongly associated with the histological subtypes AC and SCC of NSCLC. We also built a regulatory network of genes differentially expressed in SCC and AC. Some transcription factors and target genes related to lung cancer are linked in our network. Furthermore, we used the Database for Annotation, Visualization and Integrated Discovery to identify the main pathways in which these differentially expressed genes were involved. Eight pathways were enriched by this analysis. Our data provide a comprehensive transcriptional profile of candidate genes that may be involved in the complex regulatory networks underlying the different NSCLC subtypes.

摘要

鳞状细胞癌(SCC)和腺癌(AC)是非小细胞肺癌(NSCLC)的主要组织学类型。尽管已报道这两种亚型在分子、组织学和临床特征方面存在差异,但迄今为止尚无特异性治疗方法。本分析的目的是确定SCC和AC特有的潜在治疗靶点基因。我们使用微阵列数据来分析58例人类NSCLC标本的整体基因表达谱。我们鉴定出2400多个在SCC和AC中差异表达的基因。使用迭代特征算法进行双聚类分析揭示了22个与NSCLC的组织学亚型AC和SCC密切相关的双聚类。我们还构建了在SCC和AC中差异表达的基因调控网络。我们的网络中连接了一些与肺癌相关的转录因子和靶基因。此外,我们使用注释、可视化和综合发现数据库来识别这些差异表达基因所涉及的主要途径。该分析富集了八条途径。我们的数据提供了可能参与不同NSCLC亚型潜在复杂调控网络的候选基因的全面转录谱。

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引用本文的文献

1
Identification of differentially-expressed genes between early-stage adenocarcinoma and squamous cell carcinoma lung cancer using meta-analysis methods.使用荟萃分析方法鉴定早期腺癌和肺鳞状细胞癌之间的差异表达基因。
Oncol Lett. 2017 May;13(5):3314-3322. doi: 10.3892/ol.2017.5838. Epub 2017 Mar 10.