Jin Shuan, Zhu Wenhua, Li Jun
Department of Anesthesia, Jinan Central Hospital Affiliated to Shandong University, Jinan, 250013, Shandong Province, China.
Department of Gastroenterology, Chinese PLA General Hospital, Beijing, 100853, China.
J Cancer Res Ther. 2018;14(Supplement):S243-S247. doi: 10.4103/0973-1482.207068.
The purpose of this study was to identify predictive biomarkers used for clinical therapy and prognostic evaluation of high-risk gastrointestinal stromal tumors (GISTs).
In this study, microarray data GSE31802 were used to identify differentially expressed genes (DEGs) between high-risk GISTs and low-risk GISTs. Then, enrichment analysis of DEGs was conducted based on the gene ontology and kyoto encyclopedia of genes and genomes pathway database. In addition, the transcription factors and cancer-related genes in DEGs were screened according to the TRANSFAC, TSGene, and TAG database. Finally, protein-protein interaction (PPI) network was constructed and analyzed to look for critical genes involved in high-risk GISTs.
A total of forty DEGs were obtained and these genes were mainly involved in four pathways, including melanogenesis, neuroactive ligand-receptor interaction, malaria, and hematopoietic cell lineage. The enriched biological processes were related to the regulation of insulin secretion, integrin activation, and neuropeptide signaling pathway. Transcription factor analysis of DEGs indicated that POU domain, class 2, associating factor 1 (POU2AF1) was significantly downregulated in high-risk GISTs. By constructing the PPI network of DEGs, ten genes with high degrees formed local networks, such as PNOC, P2RY14, and SELP.
Four genes as POU2AF1, PNOC, P2RY14, and SELP might be used as biomarkers for prognosis of high-risk GISTs.
本研究旨在鉴定用于高危胃肠道间质瘤（GISTs）临床治疗和预后评估的预测性生物标志物。
在本研究中，利用基因芯片数据GSE31802鉴定高危GISTs和低危GISTs之间的差异表达基因（DEGs）。然后，基于基因本体论和京都基因与基因组百科全书通路数据库对DEGs进行富集分析。此外，根据TRANSFAC、TSGene和TAG数据库筛选DEGs中的转录因子和癌症相关基因。最后，构建并分析蛋白质-蛋白质相互作用（PPI）网络，以寻找参与高危GISTs的关键基因。
共获得40个DEGs，这些基因主要参与四条通路，包括黑色素生成、神经活性配体-受体相互作用、疟疾和造血细胞谱系。富集的生物学过程与胰岛素分泌调节、整合素激活和神经肽信号通路有关。对DEGs的转录因子分析表明，POU结构域2类关联因子1（POU2AF1）在高危GISTs中显著下调。通过构建DEGs的PPI网络，10个高连接度基因形成了局部网络，如PNOC、P2RY14和SELP。
POU2AF1、PNOC、P2RY14和SELP这四个基因可能作为高危GISTs预后的生物标志物。
