A six-microRNA signature can better predict overall survival of patients with esophagus adenocarcinoma

被引:6
|
作者
Lan, Tian [1 ,2 ]
Lu, Yunyan [3 ]
Xiao, Zunqiang [1 ]
Xu, Haibin [2 ]
He, Junling [2 ]
Hu, Zujian [2 ]
Mao, Weimin [4 ,5 ]
机构
[1] Zhejiang Chinese Med Univ, Clin Med Coll 2, Hangzhou, Zhejiang, Peoples R China
[2] Hangzhou Hosp Tradit Chinese Med, Dept Breast Surg, Hangzhou, Zhejiang, Peoples R China
[3] Hangzhou Xiaoshan First Peoples Hosp, Dept Cardiol, Hangzhou, Zhejiang, Peoples R China
[4] Zhejiang Canc Hosp, Zhejiang Key Lab Diag & Treatment Technol Thorac, Hangzhou, Zhejiang, Peoples R China
[5] Zhejiang Canc Hosp, Dept Thorac Surg, Hangzhou, Zhejiang, Peoples R China
来源
PEERJ | 2019年 / 7卷
关键词
Esophagus adenocarcinoma; TCGA; Bioinformatics; Prognosis; CELL-PROLIFERATION; EXPRESSION; PROGRESSION; CANCER; MICRORNAS; CARCINOMA; MARKERS;
D O I
10.7717/peerj.7353
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: The microRNAs (miRNAs) have been validated as prognostic markers in many cancers. Here, we aimed at developing a miRNA-based signature for predicting the prognosis of esophagus adenocarcinoma (EAC). Methods: The RNA-sequencing data set of EAC was downloaded from The Cancer Genome Atlas (TCGA). Eighty-four patients with EAC were classified into a training set and a test set randomly. Using univariate Cox regression analysis and the least absolute shrinkage and selection operator (LASSO), we identified prognostic factors and constructed a prognostic miRNA signature. The accuracy of the signature was evaluated by the receiver operating characteristic (ROC) curve. Result: In general, in the training set., six miRNAs (hsa-mir-425, hsa-let-7b, hsa-mir-23a, hsa-mir-3074, hsa-mir-424 and hsa-mir-505) displayed good prognostic power as markers of overall survival for EAC patients. Relative to patients in the low-risk group, those assigned to the high-risk group according to their risk scores of the designed miRNA model displayed reduced overall survival. This 6-miRNA model was validated in test and entire set. The area under curve (AUC) for ROC at 3 years was 0.959, 0.840, and 0.868 in training, test, and entire set, respectively. Molecular functional analysis and pathway enrichment analysis indicated that the target messenger RNAs associated with 6-miRNA signature were closely related to several pathways involved in carcinogenesis, especially cell cycle. Conclusion: In summary, a novel 6-miRNA expression-based prognostic signature derived from the EAC data of TCGA was constructed and validated for predicting the prognosis of EAC.
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页数:17
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