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.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Epithelial-mesenchymal transition-related long noncoding RNAs in gastric carcinoma
    Feng, Ying-Nan
    Li, Bo-Ya
    Wang, Ke
    Li, Xiao-Xi
    Zhang, Lan
    Dong, Xian-Zhe
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2022, 9
  • [22] Establishing a Prognostic Signature Based on Epithelial-Mesenchymal Transition-Related Genes for Endometrial Cancer Patients
    Liu, Jinhui
    Cui, Guoliang
    Shen, Shuning
    Gao, Feng
    Zhu, Hongjun
    Xu, Yinghua
    FRONTIERS IN IMMUNOLOGY, 2022, 12
  • [23] A novel epithelial–mesenchymal transition gene signature for the immune status and prognosis of hepatocellular carcinoma
    Yanlong Shi
    Jingyan Wang
    Guo Huang
    Jun Zhu
    Haokun Jian
    Guozhi Xia
    Qian Wei
    Yuanhai Li
    Hongzhu Yu
    Hepatology International, 2022, 16 : 906 - 917
  • [24] A novel epithelial-mesenchymal transition-related lncRNA signature predicts prognosis and immune status in endometrioid endometrial cancer
    Jin, Yichao
    Qiu, Yixuan
    Li, Yujing
    Jiang, Ziwei
    Hu, Siwen
    Dai, Huihua
    MEDICINE, 2023, 102 (26) : E34126
  • [25] Identification of a Novel Epithelial-to-mesenchymal-related Gene Signature in Predicting Survival of Patients with Hepatocellular Carcinoma
    Xiao, Simeng
    Hu, Junjie
    Hu, Na
    Sheng, Lei
    Rao, Hui
    Zheng, Guohua
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2022, 25 (08) : 1254 - 1270
  • [26] Identification of a glycolysis-related gene signature for predicting prognosis in patients with hepatocellular carcinoma
    Kong, Junjie
    Yu, Guangsheng
    Si, Wei
    Li, Guangbing
    Chai, Jiawei
    Liu, Yong
    Liu, Jun
    BMC CANCER, 2022, 22 (01)
  • [27] Identification of a glycolysis-related gene signature for predicting prognosis in patients with hepatocellular carcinoma
    Junjie Kong
    Guangsheng Yu
    Wei Si
    Guangbing Li
    Jiawei Chai
    Yong Liu
    Jun Liu
    BMC Cancer, 22
  • [28] Exploration of epithelial-mesenchymal transition-related lncRNA signature and drug sensitivity in breast cancer
    Li, Chengxin
    Zheng, Lewei
    Xu, Gaoran
    Yuan, Qianqian
    Di, Ziyang
    Yang, Yalong
    Dong, Xingxing
    Hou, Jinxuan
    Wu, Gaosong
    FRONTIERS IN ENDOCRINOLOGY, 2023, 14
  • [29] Training and experimental validation a novel anoikis- and epithelial-mesenchymal transition-related signature for evaluating prognosis and predicting immunotherapy efficacy in gastric cancer
    Zeng, Cheng
    Xu, Chang
    Wei, Yuhan
    Ma, Fei
    Wang, Yue
    JOURNAL OF CANCER, 2025, 16 (04): : 1078 - 1100
  • [30] Prognostic importance of epithelial-mesenchymal transition-related protein expression in gastric carcinoma
    Kim, Min A.
    Lee, Hye Seung
    Lee, Hee Eun
    Kim, Ji Hun
    Yang, Han-Kwang
    Kim, Woo Ho
    HISTOPATHOLOGY, 2009, 54 (04) : 442 - 451