Differentiation of small bowel and pancreatic neuroendocrine tumors by gene-expression profiling

通过基因表达谱分析鉴别小肠和胰腺神经内分泌肿瘤

阅读:1

Abstract

BACKGROUND: Between 10% and 20% of patients with neuroendocrine tumors (NETs) present with metastases of unknown primary site. Because knowledge of the primary site has important implications for treatment, we set out to define gene-expression profiles to differentiate between small-bowel NETs (SBNETs) and pancreatic NETs (PNETs). METHODS: RNA was extracted from tumor and normal tissues in 11 patients with SBNETs and 15 patients with PNETs, and qPCR was performed for 367 GPCR genes. Differentially expressed genes were identified using the RT2 Profiler. Whole genome expression analysis was performed on 11 SBNETs, 5 PNETS, and corresponding normal tissues. Statistical significance was evaluated by the Student t test and ANOVA. RESULTS: Whole-genome analysis revealed 173 significantly differentially expressed genes in SBNETs and normal tissues and in 52 in PNETs. GPCR arrays identified 28 genes in SBNETs and 18 in PNETs, with significant expression differences from normal tissues. In all SBNETs, 2 genes were significantly upregulated by more than fivefold: OXTR and GPR113. No PNETs shared this profile, whereas 73% had a greater than fivefold downregulation of ADORA1 and SCTR. These genes also allowed for determination of the primary site in 8 of 10 liver metastases. CONCLUSION: Differential expression patterns using as few as 2 to 4 GPCR genes successfully discriminated primary sites in small bowel and pancreatic NETs.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。