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

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.

SUBMITTER: Zhang Y

PROVIDER: S-EPMC5562055 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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

Zhang Yongping Y Han Xu X Wu Hao H Zhou Yifeng Y

Molecular medicine reports 20170619 2

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 ...[more]

PMID: 28627654

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Project description:ObjectiveSolid pseudopapillary neoplasm (SPN) of the pancreas is a rare tumor. This study aims to examine the clinicopathological features and surgical treatments of SPN and compare the clinical behavior and prognosis between men and women with SPN.MethodsWe collected the population data of patients with SPN diagnosed between 2004 and 2017 from the SEER database. The Kaplan-Meier method was used to analyze overall survival (OS) and disease-specific survival (DSS), and log-rank tests were used to evaluate the differences between subgroups. Univariate and multivariate Cox regression analyses were performed to screen out prognostic risk factors of SPN.ResultsA total of 378 patients with SPN were included, with 246 (65.1%) female patients. 1-, 3-, and 5-year overall survival rates were 98.9%, 95.7%, and 93.7%, respectively. Survival analysis revealed that regardless of stage, patients with SPN who underwent surgical interventions still had a significantly better prognosis than those without surgical interventions (P < .001). The patients with lymphatic dissection had a significantly better prognosis than those without lymphatic dissection (P < .001). Moreover, compared with female patients, male patients had significantly poorer OS and DSS (P < .001). Female SPN showed a bimodal age-frequency distribution with early-onset incidence at 28 years and late-onset peak incidence at 62 years, while male SPN presented a unimodal distribution with peak incidence at approximately age 64 years. In female patients, the tumor size in premenopausal females (<65 years old) was significantly larger than that in postmenopausal females (≥65 years old) (P < .001). Clinicopathological characteristic profiles were different not only between male SPN and premenopausal female SPN but also between premenopausal and postmenopausal female SPN.ConclusionSPN presents indolent behavior and predominantly occurs in young women. Regardless of stage, surgical intervention is recommended. Moreover, our study is the first large enough study to demonstrate sex-related discrepancies in SPN. Thus, different treatment strategies should be designed for patients of different sexes at different ages and hormone therapy is a promising approach for SPN.

Dataset Information

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

Publications

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

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