Identification of prognostic miRNA-mRNA regulatory network in the progression of HCV-associated cirrhosis to hepatocellular carcinoma

被引:1
|
作者
Han, Liping [1 ]
Jia, Xuemei [2 ,3 ,4 ]
Abuduwaili, Weinire [4 ]
Li, Dongping [4 ]
Chen, He [4 ]
Jiang, Qiuyu [4 ]
Chen, She [1 ]
Zhang, Si [1 ]
Xia, Rong [3 ,5 ]
Xue, Ruyi [4 ,6 ]
机构
[1] Fudan Univ, Sch Basic Med Sci, Dept Biochem & Mol Biol, NHC Key Lab Glycoconjugates Res, Shanghai, Peoples R China
[2] Fudan Univ, Huashan Hosp, Dept Hematol, Shanghai, Peoples R China
[3] Fudan Univ, Huashan Hosp, Dept Transfus Med, Shanghai, Peoples R China
[4] Fudan Univ, Zhongshan Hosp, Shanghai Inst Liver Dis, Dept Gastroenterol & Hepatol, Shanghai, Peoples R China
[5] Fudan Univ, Huashan Hosp, Dept Transfus Med, 12 Urumqi Middle Rd, Shanghai 200040, Peoples R China
[6] Fudan Univ, Zhongshan Hosp, Shanghai Inst Dis, Dept Gastroenterol & Hepatol, 180 Fenglin Rd, Shanghai 200032, Peoples R China
基金
中国国家自然科学基金;
关键词
Hepatocellular carcinoma (HCC); cirrhosis; hepatitis C virus (HCV); miRNA; biomarkers; HBV REPLICATION; TARGET GENE; CANCER; PABPC1; BIOGENESIS; EXPRESSION; MICRORNAS; IMPACT; SLC2A9; GRADE;
D O I
10.21037/tcr-22-989
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Long-term hepatitis C virus (HCV) infection is strongly associated with hepatocellular carcinoma (HCC), yet the mechanisms of the progression process remain unclear. The research is aiming to establish a crucial prognostic model that indicates the risk of HCV-associated cirrhosis evolving into HCC. Methods: Differentially expressed microRNAs (DE-miRNAs) and differentially expressed genes (DEGs) between HCV-associated cirrhosis and HCC were screened from the GSE40744 and GSE6764 datasets, respectively. Downstream target genes of DE-miRNAs were predicted by the miRNet tool and then overlapped with the DEGs to select intersection genes. The GSE15654 was downloaded to establish a prognostic model. Expression levels of risk genes and their corresponding miRNAs were measured in liver tissues of clinical patients. HCC cell lines with UHRF1 knockdown or overexpression were assayed for cell proliferation and migration. Results: Thirty-nine DE-miRNAs and 796 DEGs are identified between HCV-associated cirrhosis and HCC. Main intersection genes and their corresponding miRNAs constitute a miRNA-mRNA regulatory network. PABPC1 (Polyadenylate-binding protein 1), SLC2A9 (solute carrier gene family 2, member 9), and UHRF1 (ubiquitin-like with PHD and ring finger domains 1) form a prognostic model indicating the risk of HCC development among HCV-associated cirrhosis. The genetic mutations of PABPC1, SLC2A9, and UHRF1 in HCC patients are 9%, 0.8%, and 0.6%, respectively. Compared to that in HCV-associated cirrhosis, the expression levels of PABPC1 and UHRF1 are higher while the expression level of SLC2A9 is lower in clinical HCV-associated HCC samples. UHRF1 enhances the proliferation and migration ability of HCC cells. Conclusions: PABPC1, SLC2A9, and UHRF1 and their corresponding miRNAs are involved in the evolution process of HCV-associated cirrhosis into malignant HCC. UHRF1 serves as an oncogene that promotes the proliferation and migration of HCC cells.
引用
收藏
页码:3657 / 3673
页数:17
相关论文
共 50 条
  • [41] The mRNA-miRNA-lncRNA Regulatory Network and Factors Associated with Prognosis Prediction of Hepatocellular Carcinoma
    Bo Hu
    Xiaolu Ma
    Peiyao Fu
    Qiman Sun
    Weiguo Tang
    Haixiang Sun
    Zhangfu Yang
    Mincheng Yu
    Jian Zhou
    Jia Fan
    Yang Xu
    Genomics,Proteomics & Bioinformatics, 2021, (06) : 913 - 925
  • [42] Integrative bioinformatics analysis of miRNA and mRNA expression profiles and identification of associated miRNA-mRNA network in aortic dissection
    Su, Yiming
    Li, Qiyi
    Zheng, Zhiyong
    Wei, Xiaomin
    Hou, Peiyong
    MEDICINE, 2019, 98 (24)
  • [43] Identification of potential miRNA-mRNA regulatory network and the key miRNAs in intramuscular and subcutaneous adipose
    Feng, Hui
    Liu, Tianyi
    Yousuf, Salsabeel
    Zhang, Xiuxiu
    Huang, Wanlong
    Li, Ai
    Xie, Lingli
    Miao, Xiangyang
    FRONTIERS IN VETERINARY SCIENCE, 2022, 9
  • [44] Identification of Potential miRNA-mRNA Regulatory Network Associated with Regulating Immunity and Metabolism in Pigs Induced by ASFV Infection
    Pang, Zhongbao
    Chen, Shiyu
    Cui, Shuai
    Zhai, Wenzhu
    Huang, Ying
    Gao, Xintao
    Wang, Yang
    Jiang, Fei
    Guo, Xiaoyu
    Hao, Yuxin
    Li, Wencai
    Wang, Lei
    Zhu, Hongfei
    Wu, Jiajun
    Jia, Hong
    ANIMALS, 2023, 13 (07):
  • [45] Identification and validation of key miRNAs and miRNA-mRNA regulatory network associated with uterine involution in postpartum Kazakh sheep
    Yang, Heng
    Fu, Lin
    Luo, Qifeng
    Li, Licai
    Zheng, Fangling
    Wen, Jiayu
    Li, Chenjing
    Luo, Xingxiu
    Zhao, Zongsheng
    Xu, Huihao
    ARCHIVES ANIMAL BREEDING, 2021, 64 (01) : 119 - 129
  • [46] Identification of a miRNA-mRNA network associated with lymph node metastasis in colorectal cancer
    Ju, Qiang
    Zhao, Yan-Jie
    Dong, Yong
    Cheng, Cong
    Zhang, Shaoqiang
    Yang, Yuanming
    Li, Ping
    Ge, Dongmei
    Sun, Bo
    ONCOLOGY LETTERS, 2019, 18 (02) : 1179 - 1188
  • [47] Identification of key miRNAs in prostate cancer progression based on miRNA-mRNA network construction
    Dal Santo, Giulia
    Frasca, Marco
    Bertoli, Gloria
    Castiglioni, Isabella
    Cava, Claudia
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2022, 20 : 864 - +
  • [48] Investigation of the miRNA and mRNA Coexpression Network and Their Prognostic Value in Hepatocellular Carcinoma
    Zhang, Hao
    Chen, Xi
    Yuan, Yufeng
    BIOMED RESEARCH INTERNATIONAL, 2020, 2020
  • [49] Construction and prognostic analysis of miRNA-mRNA regulatory network in liver metastasis from colorectal cancer
    Cai, Ruyun
    Lu, Qian
    Wang, Da
    WORLD JOURNAL OF SURGICAL ONCOLOGY, 2021, 19 (01)
  • [50] Identification of miRNA-mRNA Regulatory Networks Associated with Diabetic Retinopathy using Bioinformatics Analysis
    Xu, Weihai
    Liang, Ya
    Zhuang, Ying
    Yuan, Zhilan
    ENDOCRINE METABOLIC & IMMUNE DISORDERS-DRUG TARGETS, 2023, 23 (13) : 1628 - 1636