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RRP9 和 DDX21 作为结直肠癌的新生物标志物。

RRP9 and DDX21 as new biomarkers of colorectal cancer.

机构信息

Department of General Surgery, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.

Department of General Surgery, The First Affiliated Hospital, Hebei Medical University, Shijiazhuang, China.

出版信息

Medicine (Baltimore). 2023 Oct 27;102(43):e34384. doi: 10.1097/MD.0000000000034384.

Abstract

Colorectal cancer originates from the epithelium of the large intestine and is a common malignant tumor in the gastrointestinal tract. However, the relationship between RRP9 and DDX21 and colorectal cancer (CRC) remains unclear. GSE134834, GSE206800, and GSE209892 profiles for CRC were downloaded from the gene expression omnibus database generated using GPL20115 and GPL23126. Differentially expressed genes (DEGs) were screened and weighted gene co-expression network analysis was performed. The construction and analysis of protein-protein interaction network. Functional enrichment analysis and gene set enrichment analysis were performed. Gene expression heat map was drawn and immune infiltration analysis was performed. Comparative toxicogenomics database analysis were performed to find the disease most related to the core gene. TargetScan was used to screen miRNAs regulating central DEGs. One thousand three hundred eighty DEGs were identified. According to gene ontology analysis, they were mainly concentrated in signal receptor activity regulation and metal titanase activity. Kyoto encyclopedia of gene and genome analysis showed that they mainly focused on IL17 signal pathway, PPAR signal pathway, protein digestion, and absorption, and the interaction of viral proteins with cytokines and cytokine receptors. The intersection of enrichment items and GOKEGG enrichment items of differentially expressed genes is mainly concentrated in PPAR signal pathway and the interaction of viral proteins with cytokines and cytokine receptors. The protein-protein interaction network obtained 16 core genes (MAD2L1, MELK, TPX2, UBE2C, RFC4, PLK1, RACGAP1, DKC1, DDX21, L Y AR, WDR3, RRP9, WDR43, NOLC1, BRIX1, and GTPBP4). Heat map of gene expression showed that core genes (TPX2, UBE2C, RFC4, PLK1, DKC1, LYAR, WDR3, NOLC1, and BRIX1) were not significantly differentially expressed between CRC and normal tissue samples. Core genes (MAD2L1, MELK, RACGAP1, RRP9, WDR43, DDX21, and GTPBP4) were highly expressed in CRC tissue samples and lowly expressed in normal tissue samples. Comparative toxicogenomics database analysis showed that 7 genes (MAD2L1, MELK, RACGAP1, RRP9, WDR43, DDX21, and GTPBP4) were related to necrosis, inflammation, tumor, precancerous symptoms, hemorrhage, and weightlessness. RRP9 and DDX21 are highly expressed in CRC. The higher the expression level of RRP9 and DDX21, the worse the prognosis.

摘要

结直肠癌起源于大肠上皮,是胃肠道常见的恶性肿瘤。然而,RRP9 和 DDX21 与结直肠癌(CRC)之间的关系尚不清楚。从基因表达综合数据库中下载了用于生成 GPL20115 和 GPL23126 的结直肠癌 GSE134834、GSE206800 和 GSE209892 谱。筛选差异表达基因(DEGs)并进行加权基因共表达网络分析。构建和分析蛋白质-蛋白质相互作用网络。进行功能富集分析和基因集富集分析。绘制基因表达热图并进行免疫浸润分析。进行比较毒理学基因组数据库分析以找到与核心基因最相关的疾病。使用 TargetScan 筛选调节中心 DEGs 的 miRNAs。鉴定出 1380 个 DEG。根据基因本体论分析,它们主要集中在信号受体活性调节和金属钛酶活性上。京都基因与基因组百科全书分析表明,它们主要集中在 IL17 信号通路、PPAR 信号通路、蛋白质消化和吸收以及病毒蛋白与细胞因子和细胞因子受体的相互作用上。差异表达基因的富集项目和 GOKEGG 富集项目的交集主要集中在 PPAR 信号通路和病毒蛋白与细胞因子和细胞因子受体的相互作用上。获得的蛋白质-蛋白质相互作用网络有 16 个核心基因(MAD2L1、MELK、TPX2、UBE2C、RFC4、PLK1、RACGAP1、DKC1、DDX21、LYAR、WDR3、RRP9、WDR43、NOLC1、BRIX1 和 GTPBP4)。基因表达热图显示核心基因(TPX2、UBE2C、RFC4、PLK1、DKC1、LYAR、WDR3、NOLC1 和 BRIX1)在 CRC 和正常组织样本之间无明显差异表达。核心基因(MAD2L1、MELK、RACGAP1、RRP9、WDR43、DDX21 和 GTPBP4)在 CRC 组织样本中高表达,在正常组织样本中低表达。比较毒理学基因组数据库分析表明,7 个基因(MAD2L1、MELK、RACGAP1、RRP9、WDR43、DDX21 和 GTPBP4)与坏死、炎症、肿瘤、癌前症状、出血和失重有关。RRP9 和 DDX21 在 CRC 中高表达。RRP9 和 DDX21 的表达水平越高,预后越差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f60/10615516/4ace5d0b58b8/medi-102-e34384-g001.jpg

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