Department of Gastroenterology, Second Clinical Medicine School (Shenzhen People's Hospital), Jinan University, Shenzhen, Guangdong Province, China.
Integrated Chinese and Western Medicine Postdoctoral Research Station, Jinan University, Guangzhou, Guangdong Province, China.
J Dig Dis. 2019 Aug;20(8):391-400. doi: 10.1111/1751-2980.12758. Epub 2019 Jul 4.
Cancer recurrence is a complicated problem for clinicians that contributes to poor prognosis. This study aimed to use advanced gastric carcinoma genes profiles to predict increased risk of cancer recurrence in order to identify patients in need of adjuvant therapy for prognosis improvement.
Differentially expressed genes were identified for advanced gastric carcinoma by analyzing the GSE2685 from the Gene Expression Omnibus database (GEO) using R package. The candidate genes were then obtained by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, protein-protein interaction analysis and survival analysis. Logistic regression analysis was performed to determine the relationship between candidate genes and the recurrence of gastric carcinoma.
Collagen type IV alpha 1 (COL4A1) was overexpressed in gastric carcinoma tissue by analyzing the GSE2685 gene expression profiles from the Gene Expression Omnibus database. COL4A1 was also overexpressed in gastric carcinoma tissue from the Cancer Genome Atlas dataset and further determined that higher COL4A1 expression led to poorer overall survival. A univariate analysis suggested that COL4A1 was strongly correlated with T stage and gastric carcinoma recurrence (P = 0.014 and 0.041, respectively). Moreover, a multiple logistic regression analysis indicated that COL4A1 was significantly associated with gastric carcinoma recurrence (hazard ratio 1.605, 95% confidence interval 1.063-2.677, P = 0.008).
COL4A1 may promote gastric carcinoma recurrence and could be used as a therapeutic target for gastric carcinoma recurrence.
癌症复发是临床医生面临的一个复杂问题,它导致了不良的预后。本研究旨在利用晚期胃癌基因谱预测癌症复发的风险增加,从而识别出需要辅助治疗以改善预后的患者。
通过分析 GEO 数据库中的 GSE2685 数据集,使用 R 包鉴定出晚期胃癌中的差异表达基因。然后通过基因本体论(GO)、京都基因与基因组百科全书(KEGG)通路、蛋白质-蛋白质相互作用分析和生存分析获得候选基因。采用逻辑回归分析确定候选基因与胃癌复发之间的关系。
通过分析基因表达谱数据库中的 GSE2685 数据集,发现 COL4A1 在胃癌组织中呈过表达。COL4A1 在癌症基因组图谱数据集的胃癌组织中也呈过表达,并进一步确定较高的 COL4A1 表达导致整体生存率降低。单因素分析表明,COL4A1 与 T 分期和胃癌复发密切相关(P = 0.014 和 0.041)。此外,多因素逻辑回归分析表明,COL4A1 与胃癌复发显著相关(危险比 1.605,95%置信区间 1.063-2.677,P = 0.008)。
COL4A1 可能促进胃癌复发,可以作为胃癌复发的治疗靶点。