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胰腺实性假乳头状瘤转录谱的生物信息学分析。

Bioinformatics analysis of transcription profiling of solid pseudopapillary neoplasm of the pancreas.

机构信息

Department of Digestion, Xin Chang People's Hospital, Pancreatic Disease Research Center of Shanghai, Xinchang, Zhejiang 312500, P.R. China.

Department of Gastroenterology, Shanghai Changhai Hospital, Second Military Medical University of China, Pancreatic Disease Research Center of Shanghai, Shanghai 214000, P.R. China.

出版信息

Mol Med Rep. 2017 Aug;16(2):1635-1642. doi: 10.3892/mmr.2017.6800. Epub 2017 Jun 19.

DOI:10.3892/mmr.2017.6800
PMID:28627654
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5562055/
Abstract

Solid pseudopapillary neoplasm (SPN) of the pancreas is a low-grade malignant neoplasm that accounts for ~5% of cystic pancreatic tumors and ~0.9‑2.7% of exocrine pancreatic tumors. The transcription profiling data (GSE43795) of 14 SPN and 6 control samples were downloaded from the Gene Expression Omnibus (GEO) database. Using the Limma package, Student's t‑tests were performed to identify differentially expressed genes (DEGs) between SPN and control samples [with the following criterion: False discovery rate (FDR)<0.01 and log2 fold‑change (FC)≥3]. Pathway and functional enrichment analyses were performed to investigate the biological processes that the DEGs were involved in. Protein‑protein interaction (PPI) network and sub‑network analyses were conducted to comprehensively understand the interactions between DEGs. The screened DEGs were further annotated according to information relating to transcription factors and tumor associated genes (TAGs). A total of 710 upregulated and 710 downregulated DEGs were observed, including 74 transcriptional factors and 124 TAGs. Membrane metallo‑endopeptidase (MME), matrix metalloproteinase (MMP)-2 and MMP‑9 were also identified as key TAGs. Following PPI network analysis, hub nodes of epidermal growth factor receptor (EGFR), proto‑oncogene tyrosine protein kinase Fyn (FYN), c‑JUN (JUN), glucagon (GCG), c‑Myc (MYC) and CD44 were identified, the majority of which participate in the epidermal growth factor receptor (ErbB) and gonadotropin-releasing hormone (GnRH) signaling pathways. A sub‑network involving 70 gene nodes was also identified, with EGFR as the central gene. MME, MMP‑2 and MMP‑9 contribute to proliferative diabetic retinopathy and also involved in SPN. The genes EGFR, FYN, JUN, GCG, MYC and CD44 may therefore be key genes in SPN, and the ErbB and GnRH signaling pathways may be an important contributor to SPN progression.

摘要

胰腺实性假乳头状瘤(SPN)是一种低级别恶性肿瘤,约占囊性胰腺肿瘤的 5%,外分泌胰腺肿瘤的 0.9-2.7%。从基因表达综合数据库(GEO)下载了 14 个 SPN 和 6 个对照样本的转录谱数据(GSE43795)。使用 Limma 包,通过学生 t 检验鉴定 SPN 和对照样本之间的差异表达基因(DEGs)[具有以下标准:错误发现率(FDR)<0.01 和 log2 倍数变化(FC)≥3]。进行了途径和功能富集分析,以研究 DEGs 参与的生物学过程。进行了蛋白质-蛋白质相互作用(PPI)网络和子网络分析,以全面了解 DEGs 之间的相互作用。根据与转录因子和肿瘤相关基因(TAGs)相关的信息,进一步注释筛选出的 DEGs。共观察到 710 个上调和 710 个下调的 DEGs,包括 74 个转录因子和 124 个 TAGs。膜金属内肽酶(MME)、基质金属蛋白酶(MMP)-2 和 MMP-9 也被鉴定为关键的 TAGs。进行 PPI 网络分析后,鉴定出表皮生长因子受体(EGFR)、原癌基因酪氨酸蛋白激酶 Fyn(FYN)、c-JUN(JUN)、胰高血糖素(GCG)、c-Myc(MYC)和 CD44 的枢纽节点,其中大多数参与表皮生长因子受体(ErbB)和促性腺激素释放激素(GnRH)信号通路。还鉴定出涉及 70 个基因节点的子网,其中 EGFR 为中心基因。MME、MMP-2 和 MMP-9 参与增殖性糖尿病视网膜病变,也参与 SPN。基因 EGFR、FYN、JUN、GCG、MYC 和 CD44 可能是 SPN 的关键基因,ErbB 和 GnRH 信号通路可能是 SPN 进展的重要因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdcc/5562055/85890e30f3b5/MMR-16-02-1635-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdcc/5562055/b9640de45be5/MMR-16-02-1635-g00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdcc/5562055/85890e30f3b5/MMR-16-02-1635-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdcc/5562055/b9640de45be5/MMR-16-02-1635-g00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdcc/5562055/85890e30f3b5/MMR-16-02-1635-g01.jpg

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