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与胰腺导管腺癌神经周围浸润相关的分子标志物。

Molecular markers associated with perineural invasion in pancreatic ductal adenocarcinoma.

作者信息

Zhang Junfeng, Fu Xueliang, Liu Dejun, Yang Minwei, Yang Jianyu, Huo Yanmiao, Liu Wei, Hua Rong, Sun Yongwei, Wang Jian

机构信息

Department of Biliary-Pancreatic Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P.R. China.

出版信息

Oncol Lett. 2020 Oct;20(4):5. doi: 10.3892/ol.2020.11866. Epub 2020 Jul 15.

Abstract

Perineural invasion (PNI) is a prominent characteristic of pancreatic ductal adenocarcinoma (PDAC). PNI is associated with tumor progression, local recurrence and neuropathic pain; therefore, the identification of biomarkers associated with PNI may be beneficial in assessing the prognosis for patients with PDAC. Using an model of PNI, five pancreatic cancer cell lines (PANC-1, CFPAC-1, CAPAN-2, SW1990 and ASPC-1) were divided into two groups: High-(comprising PANC-1, CFPAC-1 and CAPAN-2) and low PNI (comprising SW1990 and ASPC-1). Differentially expressed genes (DEGs) between the two groups were identified using the GSE26088 dataset, and were regarded as PNI-associated genes. A total of 445 DEGs associated with PNI (fold change >1.5 or <0.66; P<0.05) were identified, which included 176 up- and 269 downregulated genes. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis and function annotation were performed, and the NetworkAnalyst database was used for protein-protein interaction network analysis to identify hub genes. A total of 20 hub genes (gene degree, ≥6) were identified. PNI was associated with the function 'chemokine signaling pathway'. The DEGs and hub genes were validated using the GSE102238 dataset and clinical tissue microarrays. Fibroblast growth factor 2 (FGF2) and catenin α 2 were demonstrated to be associated with PNI using the GSE102238 dataset. Furthermore, clinical tissue microarray analysis demonstrated that FGF2 was associated with PNI and poor prognosis. The present study provided a potential method for the reliable identification of PNI-associated genes, although further investigation is required to validate these results.

摘要

神经周围浸润(PNI)是胰腺导管腺癌(PDAC)的一个显著特征。PNI与肿瘤进展、局部复发和神经性疼痛相关;因此,鉴定与PNI相关的生物标志物可能有助于评估PDAC患者的预后。利用PNI模型,将五种胰腺癌细胞系(PANC-1、CFPAC-1、CAPAN-2、SW1990和ASPC-1)分为两组:高PNI组(包括PANC-1、CFPAC-1和CAPAN-2)和低PNI组(包括SW1990和ASPC-1)。使用GSE26088数据集鉴定两组之间的差异表达基因(DEG),并将其视为与PNI相关的基因。共鉴定出445个与PNI相关的DEG(倍数变化>1.5或<0.66;P<0.05),其中包括176个上调基因和269个下调基因。进行了京都基因与基因组百科全书通路富集分析和功能注释,并使用NetworkAnalyst数据库进行蛋白质-蛋白质相互作用网络分析以鉴定枢纽基因。共鉴定出20个枢纽基因(基因度≥6)。PNI与“趋化因子信号通路”功能相关。使用GSE102238数据集和临床组织微阵列对DEG和枢纽基因进行了验证。使用GSE102238数据集证明成纤维细胞生长因子2(FGF2)和连环蛋白α2与PNI相关。此外,临床组织微阵列分析表明FGF2与PNI和不良预后相关。本研究提供了一种可靠鉴定与PNI相关基因的潜在方法,尽管需要进一步研究来验证这些结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cb6/7405440/0af2c803891a/ol-20-04-11866-g00.jpg

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