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综合生物信息学分析确定了细胞周期蛋白家族成员在肺腺癌中的几种潜在诊断标志物和潜在作用。

Comprehensive bioinformatics analysis identifies several potential diagnostic markers and potential roles of cyclin family members in lung adenocarcinoma.

作者信息

Gao Li-Wei, Wang Guo-Liang

机构信息

Department of Oncology, General Hospital of Pingmei Shenma Medical Group, Pingdingshan, Henan 467000, China.

Department of Research & Development, Henan Zhongping Genetic Technology Co, Ltd, Zhengzhou, Henan 450000, China,

出版信息

Onco Targets Ther. 2018 Oct 24;11:7407-7415. doi: 10.2147/OTT.S171705. eCollection 2018.

DOI:10.2147/OTT.S171705
PMID:30425528
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6204853/
Abstract

PURPOSE

The aim of this study was to identify critical genes in lung cancer progression.

METHODS

We downloaded and reanalyzed gene expression profiles from different public data-sets using comprehensive bioinformatics analysis. Differentially expressed genes (DEGs) were identified in lung adenocarcinoma tissues compared with adjacent nonmalignant lung tissues. The overlapping DEGs identified from different datasets were used for functional and pathway enrichment analyses and protein-protein interaction (PPI) analysis. Moreover, transcription factors (TFs) and miRNAs that regulated the overlapping DEGs were predicted, followed by a TF-miRNA-target network construction. Furthermore, survival analysis of genes was performed. Several genes were further validated by quantitative real-time PCR (qRT-PCR).

RESULTS

A total of 647 overlapping upregulated genes and 979 overlapping downregulated genes were identified. The overlapping upregulated genes and downregulated genes were involved in different functions, such as cell cycle, p53 signaling pathway, immune response, and cell adhesion molecules (CAMs). Several genes belonging to the cyclin family, including , , and , were hubs of the PPI network and TF-miRNA-target network. Additionally, genes, including , , , and , were predicted to be prognosis-related DEGs. Gene expression profiles determined by bioinformatics analysis and qRT-PCR were highly comparable.

CONCLUSION

, , , , , , and are promising targets for the clinical diagnosis and therapy of lung adenocarcinoma.

摘要

目的

本研究旨在鉴定肺癌进展中的关键基因。

方法

我们使用综合生物信息学分析从不同公共数据集中下载并重新分析基因表达谱。在肺腺癌组织与相邻非恶性肺组织中鉴定差异表达基因（DEG）。从不同数据集中鉴定出的重叠DEG用于功能和通路富集分析以及蛋白质-蛋白质相互作用（PPI）分析。此外，预测调控重叠DEG的转录因子（TF）和miRNA，随后构建TF-miRNA-靶标网络。此外，对基因进行生存分析。通过定量实时PCR（qRT-PCR）进一步验证了几个基因。

结果

共鉴定出647个重叠上调基因和979个重叠下调基因。重叠上调基因和下调基因参与不同功能，如细胞周期、p53信号通路、免疫反应和细胞黏附分子（CAM）。属于细胞周期蛋白家族的几个基因，包括 、 和 ，是PPI网络和TF-miRNA-靶标网络的枢纽。此外，包括 、 、 和 在内的基因被预测为与预后相关的DEG。通过生物信息学分析和qRT-PCR确定的基因表达谱具有高度可比性。

结论

、 、 、 、 、 和 是肺腺癌临床诊断和治疗的有前景的靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc75/6204853/f1062b2acf67/ott-11-7407Fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc75/6204853/3a88da54ebaa/ott-11-7407Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc75/6204853/d4017369637d/ott-11-7407Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc75/6204853/2384ff492222/ott-11-7407Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc75/6204853/f1062b2acf67/ott-11-7407Fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc75/6204853/3a88da54ebaa/ott-11-7407Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc75/6204853/d4017369637d/ott-11-7407Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc75/6204853/2384ff492222/ott-11-7407Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc75/6204853/f1062b2acf67/ott-11-7407Fig4.jpg

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