Integrated expression analysis revealed RUNX2 upregulation in lung squamous cell carcinoma tissues

IF 1.9 4区生物学 Q4 CELL BIOLOGY

IET Systems Biology Pub Date : 2020-09-15 DOI:10.1049/iet-syb.2020.0063

Da-Ping Yang, Hui-Ping Lu, Gang Chen, Jie Yang, Li Gao, Jian-Hua Song, Shang-Wei Chen, Jun-Xian Mo, Jin-Liang Kong, Zhong-Qing Tang, Chang-Bo Li, Hua-Fu Zhou, Lin-Jie Yang

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引用次数: 6

Abstract

This study aimed to investigate the clinicopathological significance and prospective molecular mechanism of RUNX family transcription factor 2 (RUNX2) in lung squamous cell carcinoma (LUSC). The authors used immunohistochemistry (IHC), RNA-seq, and microarray data from multi-platforms to conduct a comprehensive analysis of the clinicopathological significance and molecular mechanism of RUNX2 in the occurrence and development of LUSC. RUNX2 expression was significantly higher in 16 LUSC tissues than in paired non-cancerous tissues detected by IHC (P < 0.05). RNA-seq data from the combination of TCGA and genotype-tissue expression (GTEx) revealed significantly higher expression of RUNX2 in 502 LUSC samples than in 476 non-cancer samples. The expression of RUNX2 protein was also significantly higher in pathologic T3-T4 than in T1-T2 samples (P = 0.031). The pooled standardised mean difference (SMD) for RUNX2 was 0.87 (95% CI, 0.58-1.16), including 29 microarrays from GEO and one from ArrayExpress. The co-expression network of RUNX2 revealed complicated connections between RUNX2 and 45 co-expressed genes, which were significantly clustered in pathways including ECM-receptor interaction, focal adhesion, protein digestion and absorption, human papillomavirus infection and PI3K-Akt signalling pathway. Overexpression of RUNX2 plays an essential role in the clinical progression of LUSC.

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综合表达分析显示RUNX2在肺鳞癌组织中表达上调

本研究旨在探讨RUNX家族转录因子2 (RUNX2)在肺鳞癌(LUSC)中的临床病理意义及未来的分子机制。作者利用免疫组织化学(IHC)、RNA-seq、多平台微阵列数据，综合分析RUNX2在LUSC发生发展中的临床病理意义及分子机制。RUNX2在16个LUSC组织中的表达明显高于IHC检测的配对非癌组织(P < 0.05)。结合TCGA和基因型组织表达(GTEx)的RNA-seq数据显示，502例LUSC样本中RUNX2的表达明显高于476例非癌症样本。病理T3-T4组RUNX2蛋白表达也明显高于T1-T2组(P = 0.031)。RUNX2的汇总标准化平均差(SMD)为0.87 (95% CI, 0.58-1.16)，包括29个来自GEO的芯片和1个来自ArrayExpress的芯片。RUNX2共表达网络揭示了RUNX2与45个共表达基因之间的复杂联系，这些基因在ecm受体相互作用、局点黏附、蛋白质消化吸收、人乳头瘤病毒感染和PI3K-Akt信号通路中显著聚集。RUNX2过表达在LUSC的临床进展中起着至关重要的作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IET Systems Biology 生物-数学与计算生物学

CiteScore

4.20

自引率

4.30%

发文量

审稿时长

>12 weeks

期刊介绍： IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.