Zhu Zhipeng, Xu Jiuhua, Li Lulu, Ye Weipeng, Chen Borong, Zeng Junjie, Huang Zhengjie
Department of Gastrointestinal Surgery, Xiamen Cancer Center, The First Affiliated Hospital of Xiamen University, Xiamen, China.
Department of clinical medicine, Fujian Medical University, Fuzhou, China.
Transl Cancer Res. 2020 Jul;9(7):4093-4110. doi: 10.21037/tcr-20-211.
Gastric cancer (GC) is one of the most common malignant diseases worldwide, the incidence and mortality for GC is still high, thus it is urgently important to identify the effective and reliable biomarkers to evaluate GC and the underlying molecular events.
The study integrated four Gene Expression Omnibus (GEO) profile datasets and The Cancer Genome Atlas (TCGA) dataset to screen differentially expressed genes (DEGs), screened key genes by performing the Kaplan-Meier analysis, univariate and multivariate-cox analysis. Further analysis were performed to evaluate and validate the prognostic value of the key genes based on TCGA database and online websites. In addition, mechanism analysis of the key genes was performed thought biological processes and KEGG pathway analysis.
In the study, 192 DEGs (92 up-regulated and 100 down-regulated) were identified from the GEO and TCGA datasets. Next, gene ontology (GO) for DEGs focused primarily on cell adhesion, extracellular region and extracellular matrix structural constituent. Then four significant key genes were screened by performed the Kaplan-Meier analysis, univariate and multivariate-cox analysis. By using Kaplan-Meier plotter and OncoLnc, the expression level was associated with a worse prognosis. In addition, the area under curve (AUC) for time-dependent receiver operating characteristic (ROC) indicated a moderate diagnostic value. Furthermore, the expression of collagen triple helix repeat containing 1 (), serpin family E member 1 (), () was associated with tumor size, () expression was associated with distant metastasis. Finally, multiple biological processes and signaling pathway associated with key genes revealed the underlying mechanism in GC.
Taken together, , , , were novel potential prognostic molecular markers for GC, which acted as oncogene to promote the development of GC.
胃癌（GC）是全球最常见的恶性疾病之一，其发病率和死亡率仍然很高，因此，识别有效且可靠的生物标志物以评估胃癌及潜在的分子事件迫在眉睫。
本研究整合了四个基因表达综合数据库（GEO）数据集和癌症基因组图谱（TCGA）数据集以筛选差异表达基因（DEGs），通过进行Kaplan-Meier分析、单因素和多因素Cox分析筛选关键基因。基于TCGA数据库和在线网站进一步分析以评估和验证关键基因的预后价值。此外，通过生物学过程和KEGG通路分析对关键基因进行机制分析。
在本研究中，从GEO和TCGA数据集中鉴定出192个差异表达基因（92个上调和100个下调）。接下来，差异表达基因的基因本体论（GO）主要集中在细胞粘附、细胞外区域和细胞外基质结构成分。然后通过进行Kaplan-Meier分析、单因素和多因素Cox分析筛选出四个重要的关键基因。通过使用Kaplan-Meier绘图仪和OncoLnc，发现表达水平与较差的预后相关。此外，时间依赖性受试者工作特征（ROC）曲线下面积（AUC）表明具有中等诊断价值。此外，含胶原三螺旋重复蛋白1（）、丝氨酸蛋白酶抑制剂家族E成员1（）、（）的表达与肿瘤大小相关，（）的表达与远处转移相关。最后，与关键基因相关的多个生物学过程和信号通路揭示了胃癌的潜在机制。
综上所述，、、、是胃癌新的潜在预后分子标志物，它们作为癌基因促进胃癌的发展。
