Prognostic significance of autophagy-related genes within esophageal carcinoma

被引:9
|
作者
Chen, Chongxiang [1 ,2 ]
Chen, Siliang [3 ]
Cao, Huijiao [4 ]
Wang, Jiaojiao [5 ]
Wen, Tianmeng [6 ]
Hu, Xiaochun [3 ]
Li, Huan [1 ]
机构
[1] Sun Yat Sen Univ, Dept Intens Care Unit, Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China,Canc Ctr, 651 Dongfeng Dong Rd, Guangzhou 510060, Peoples R China
[2] Guangzhou Med Univ, Guangzhou Inst Resp Dis, State Key Lab Resp Dis, Affiliated Hosp 1, Guangzhou, Peoples R China
[3] Sun Yat Sen Univ, State Key Lab Oncol South China, Collaborat Innovat Ctr Canc Med, Dept Hematol,Canc Ctr, Guangzhou, Peoples R China
[4] Sun Yat Sen Univ, State Key Lab Oncol South China, Collaborat Innovat Ctr Canc Med, Dept VIP Inpatient,Canc Ctr, Guangzhou, Peoples R China
[5] Fuzhou Pulm Hosp Fujian, Dept TB, Fuzhou, Peoples R China
[6] Sun Yat Sen Univ, Sch Publ Hlth, Guangzhou, Peoples R China
关键词
Esophageal carcinoma; Autophagy; Prognostic; CANCER-CELLS; TUMORIGENESIS; INHIBITION; MANAGEMENT; RESISTANCE; CISPLATIN; PATHWAY; LUNG; TBK1;
D O I
10.1186/s12885-020-07303-4
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundSeveral works suggest the importance of autophagy during esophageal carcinoma development. The aim of the study is to construct a scoring system according to the expression profiles of major autophagy-related genes (ARGs) among esophageal carcinoma cases.MethodsThe Cancer Genome Atlas was employed to obtain the esophageal carcinoma data. Thereafter, the online database Oncolnc (http://www.oncolnc.org/) was employed to verify the accuracy of our results. According to our results, the included ARGs were related to overall survival (OS).ResultsWe detected the expression patterns of ARG within esophageal carcinoma and normal esophageal tissues. In addition, we identified the autophagy related gene set, including 14 genes displaying remarkable significance in predicting the esophageal carcinoma prognosis. The cox regression results showed that, 7 ARGs (including TBK1, ATG5, HSP90AB1, VAMP7, DNAJB1, GABARAPL2, and MAP2K7) were screened to calculate the ARGs scores. Typically, patients with higher ARGs scores were associated with poorer OS. Moreover, the receiver operating characteristic (ROC) curve analysis suggested that, ARGs accurately distinguished the healthy people from esophageal carcinoma patients, with the area under curve (AUC) value of >0.6.ConclusionA scoring system is constructed in this study based on the main ARGs, which accurately predicts the outcomes for esophageal carcinoma.
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页数:11
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