An epithelial-mesenchymal transition-related 5-gene signature predicting the prognosis of hepatocellular carcinoma patients

被引:19
|
作者
Zhu, Gongmin [1 ,2 ]
Xia, Hongwei [1 ,2 ]
Tang, Qiulin [1 ,2 ]
Bi, Feng [1 ,2 ]
机构
[1] Sichuan Univ, West China Hosp, Canc Ctr, Dept Abdominal Oncol, 37 Guoxue Lane, Chengdu 610041, Sichuan, Peoples R China
[2] Sichuan Univ, West China Hosp, Lab Mol Targeted Therapy Oncol, 37 Guoxue Lane, Chengdu 610041, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Epithelial-mesenchymal transition; Hepatocellular carcinoma; Prognostic signature; PDCD6; TCGA;
D O I
10.1186/s12935-021-01864-5
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundTumor metastasis is one of the leading reasons of the dismal prognosis of hepatocellular carcinoma (HCC). Epithelial-mesenchymal transition (EMT) is closely associated with tumor metastasis including HCC. The purpose of this study is to construct and validate an EMT-related gene signature for predicting the prognosis of HCC patients.MethodsGene expression data of HCC patients was downloaded from The Cancer Genome Atlas (TCGA) database. Gene set enrichment analysis (GSEA) was performed to found the EMT-related gene sets which were obviously distinct between normal samples and paired HCC samples. Cox regression analysis was used to develop an EMT-related prognostic signature, and the performance of the signature was evaluated by Kaplan-Meier curves and time-dependent receiver operating characteristic (ROC) curves. A nomogram incorporating the independent predictors was established. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression levels of the hub genes in HCC cell lines, and the role of PDCD6 in the metastasis of HCC was determined by functional experiments.ResultsAn EMT-related 5-gene signature (PDCD6, TCOF1, TRIM28, EZH2 and FAM83D) was constructed using univariate and multivariate Cox regression analysis. Based on the signature, the HCC patients were classified into high- and low-risk groups, and patients in high-risk group had a poor prognosis. Time-dependent ROC and Cox regression analyses suggested that the signature could predict HCC prognosis exactly and independently. The predictive capacity of the signature was also validated in two external cohorts. GSEA results showed that many cancer-related signaling pathways such as PI3K/Akt/mTOR pathway and TGF-beta /SMAD pathway were enriched in high-risk group. The result of qRT-PCR revealed that PDCD6, TCOF1 and FAM83D were highly expressed in HCC cancer cells. Among them, PDCD6 were found to promote cell migration and invasion.ConclusionThe EMT-related 5-gene signature can serve as a promising prognostic biomarker for HCC patients and may provide a novel mechanism of HCC metastasis.
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页数:16
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