Zeng Chunyan, Chen Youxiang
Department of Gastroenterology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Oncol Lett. 2019 Sep;18(3):2448-2454. doi: 10.3892/ol.2019.10545. Epub 2019 Jun 28.
Colorectal cancer (CRC) is a tumor that derives from the rectum or colon, and colon adenocarcinoma (COAD) is the most common type of CRC. The present study was performed to identify genes that serve critical roles in the survival of patients with COAD. RNA-sequencing data of COAD was extracted from The Cancer Genome Atlas database, which included 480 tumor samples and 41 normal samples. Using the limma package, differential expression analysis was performed to identify the differentially expressed genes (DEGs). In addition, the potential functions and pathways for the identified DEGs were analyzed using the clusterProfiler package. After the samples were divided into high and low expression groups, survival analysis for the two groups was performed using the Kaplan-Meier model. Using Cytoscape software, a protein-protein interaction network was generated for the survival-associated genes. A total of 1,519 DEGs, including 568 upregulated genes and 951 downregulated genes, were identified in the COAD samples. Enrichment analysis suggested that the DEGs were implicated in numerous functional terms and pathways. Furthermore, 109 DEGs were identified to be survival-associated genes in COAD. According to the degrees of the network nodes, 5-hydroxytryptamine receptor 1D (HTR1D), TIMP metallopeptidase inhibitor 1 (TIMP1), serpin family E member 1 (SERPINE1), matrix metallopeptidase 3 (MMP3) and cannabinoid receptor 2 (CNR2) were key nodes, and the expression levels of these genes were analyzed in clinical samples of CRC. Therefore, the results of the present study suggest HTR1D, TIMP1, SERPINE1, MMP3 and CNR2 may affect the prognosis of patients with COAD.
结直肠癌（CRC）是一种起源于直肠或结肠的肿瘤，而结肠腺癌（COAD）是CRC最常见的类型。本研究旨在鉴定在COAD患者生存中起关键作用的基因。从癌症基因组图谱数据库中提取COAD的RNA测序数据，其中包括480个肿瘤样本和41个正常样本。使用limma软件包进行差异表达分析，以鉴定差异表达基因（DEG）。此外，使用clusterProfiler软件包分析鉴定出的DEG的潜在功能和途径。将样本分为高表达组和低表达组后，使用Kaplan-Meier模型对两组进行生存分析。使用Cytoscape软件生成与生存相关基因的蛋白质-蛋白质相互作用网络。在COAD样本中总共鉴定出1519个DEG，包括568个上调基因和951个下调基因。富集分析表明，这些DEG涉及许多功能术语和途径。此外，在COAD中鉴定出109个与生存相关的DEG。根据网络节点的度数，5-羟色胺受体1D（HTR1D）、金属蛋白酶组织抑制因子1（TIMP1）、丝氨酸蛋白酶抑制剂E成员1（SERPINE1）、基质金属蛋白酶3（MMP3）和大麻素受体2（CNR2）是关键节点，并在CRC临床样本中分析了这些基因的表达水平。因此，本研究结果表明HTR1D、TIMP1、SERPINE1、MMP3和CNR2可能影响COAD患者的预后。
