Integrated Bioinformatics analysis and clinical validation reveals that high expression of mucin 1 in intrahepatic cholangiocarcinoma predicts recurrence after curative resection

被引:6
作者
Chen, Fei-Yu [1 ]
Zhou, Cheng [1 ]
Zhang, Xiang-Yu [1 ]
Zhou, Kai-Qian [1 ]
Peng, Yuan-Fei [1 ]
Yu, Lei [1 ]
Fan, Jia [1 ,2 ,3 ,4 ,5 ]
Zhou, Jian [1 ,2 ,3 ,4 ,5 ]
Hu, Jie [1 ]
Wang, Zheng [1 ]
机构
[1] Fudan Univ, Zhongshan Hosp, Liver Canc Inst,Minist Educ, Dept Liver Surg,Key Lab Carcinogenesis & Canc Inv, 180 Fenglin Rd, Shanghai 200032, Peoples R China
[2] Fudan Univ, Sch Life Sci, State Key Lab Genet Engn, Shanghai 200032, Peoples R China
[3] Fudan Univ, Sch Life Sci, Collaborat Innovat Ctr Genet & Dev, Shanghai 200032, Peoples R China
[4] Fudan Univ, Zhongshan Hosp, Shanghai Key Lab Organ Transplantat, Shanghai 200032, Peoples R China
[5] Fudan Univ, Inst Biomed Sci, Shanghai 200032, Peoples R China
基金
中国国家自然科学基金;
关键词
intrahepatic cholangiocarcinoma; Bioinformatics analysis; mucin; 1; gene dysregulation; ROBUST RANK AGGREGATION; THERAPEUTIC TARGETS; GENE-EXPRESSION; MANAGEMENT; CARCINOMA; DIAGNOSIS; SUBTYPES;
D O I
10.3892/etm.2020.9178
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Intrahepatic cholangiocarcinoma (ICC) is a cancer type with high malignancy and a current lack of biomarkers to predict recurrence. In the present study, to identify potential biomarkers, five ICC datasets from the Gene Expression Omnibus database were analyzed to construct initial datasets by using a robust rank aggregation approach. A total of 19 upregulated genes were identified in the initial datasets. The genes identified were then further analysed using data from The Cancer Genome Atlas. Only mucin 1 (MUC1) exhibited significance regarding differential expression and survival prediction. Finally, the expression levels of MUC1 were assessed using reverse transcription-quantitative PCR in 61 pairs of ICC tumor and matched non-cancerous samples. The expression of MUC1 was significantly elevated in ICC tissues compared with that in matched non-cancerous counterparts (P=0.001). Patients with high MUC1 expression levels had significantly shorter overall survival (OS, P=0.009) and recurrence-free survival (RFS, P=0.012). MUC1 was identified as an independent prognostic factor for OS [hazard ratio (HR)=2.364, 95%CI: 1.214-4.485; P=0.023] and RFS (HR=2.552 95%CI: 1.294-5.032; P=0.007) in the multivariate analysis. Using receiver operating characteristic analysis, a co-index including MUC1 had a high accuracy for predicting survival [MUC1 combined with serum levels of CEA and cancer antigen 19-9, and lymph node metastasis, area under curve (AUC)=0.746, 95%CI: 0.620-0.872] and recurrence (MUC1 combined with bile duct invasion and lymph node metastasis, AUC=0.729, 95%CI: 0.605-854). In conclusion, MUC1 is highly expressed in ICC tissue and is a potential prognostic biomarker and therapeutic target for ICC.
引用
收藏
页数:11
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