Aquaporin (AQP) 基因家族互作组转录组分析鉴定出胰腺导管腺癌患者的四个预后标志物分子面板。

Transcriptomic analysis of the Aquaporin (AQP) gene family interactome identifies a molecular panel of four prognostic markers in patients with pancreatic ductal adenocarcinoma.

机构信息

Division of Surgery and Interventional Science, Faculty of Medical Sciences, UCL, London, UK; Department of Surgery, University of Thessaly, Biopolis, Larissa, Greece.

Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, Larissa, Greece.

出版信息

Pancreatology. 2019 Apr;19(3):436-442. doi: 10.1016/j.pan.2019.02.006. Epub 2019 Feb 11.

DOI:10.1016/j.pan.2019.02.006

PMID:30826259

Abstract

BACKGROUND

This study aimed to assess the differential gene expression of aquaporin (AQP) gene family interactome in pancreatic ductal adenocarcinoma (PDAC) using data mining techniques to identify novel candidate genes intervening in the pathogenicity of PDAC.

METHOD

Transcriptome data mining techniques were used in order to construct the interactome of the AQP gene family and to determine which genes members are differentially expressed in PDAC as compared to controls. The same techniques were used in order to evaluate the potential prognostic role of the differentially expressed genes.

RESULTS

Transcriptome microarray data of four GEO datasets were incorporated, including 142 primary tumor samples and 104 normal pancreatic tissue samples. Twenty differentially expressed genes were identified, of which nineteen were downregulated and one up-regulated. A molecular panel of four genes (Aquaporin 7 - AQP7; Archain 1 - ARCN1; Exocyst Complex Component 3 - EXOC3; Coatomer Protein Complex Subunit Epsilon - COPE) were identified as potential prognostic markers associated with overall survival.

CONCLUSION

These outcomes should be further assessed in vitro in order to fully understand the role of these genes in the pathophysiological mechanism of PDAC.

摘要

背景

本研究旨在利用数据挖掘技术评估水通道蛋白（AQP）基因家族互作组在胰腺导管腺癌（PDAC）中的差异基因表达，以鉴定干预 PDAC 发病机制的新候选基因。

方法

使用转录组数据挖掘技术构建 AQP 基因家族的互作组，并确定与对照相比，哪些基因成员在 PDAC 中表达差异。同样的技术也用于评估差异表达基因的潜在预后作用。

结果

纳入了四个 GEO 数据集的转录组微阵列数据，包括 142 个原发性肿瘤样本和 104 个正常胰腺组织样本。鉴定出 20 个差异表达基因，其中 19 个下调，1 个上调。确定了一个由四个基因（水通道蛋白 7-AQP7；ARCHAIN1-ARCN1；外泌体复合物成分 3-EXOC3；衣壳蛋白复合物亚基 Epsilon-COPE）组成的分子面板作为与总生存期相关的潜在预后标志物。