Integrated analysis identifies a long non-coding RNAs-messenger RNAs signature for prediction of prognosis in hepatitis B virus-hepatocellular carcinoma patients

被引:8
作者
Bai, Zhenzi [1 ]
Li, Hongyan [1 ]
Li, Chenghua [1 ]
Sheng, Chuanlun [1 ]
Zhao, Xiaonan [1 ]
机构
[1] Third Hosp Jilin Univ, Infect Dept, Changchun 130033, Peoples R China
关键词
coexpression; hepatitis B virus; hepatocellular carcinoma; overall survival; signature; POOR-PROGNOSIS; CANCER; EXPRESSION; INVASION; PROLIFERATION; METASTASIS; BIOMARKERS; SURVIVAL; GROWTH;
D O I
10.1097/MD.0000000000021503
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Hepatitis B virus (HBV) infection is a leading cause of hepatocellular carcinoma (HCC), but HBV-HCC related prognosis signature remains rarely investigated. This study was to identify an integrated long non-coding RNAs-messenger RNAs (lncRNA-mRNA) signature for prediction of overall survival (OS) and explore their underlying functions. One RNA-sequencing dataset (training set, n = 95) and one microarray dataset E-TABM-36 (validation set, n = 44) were collected. Least absolute shrinkage and selection operator analysis was performed to identify an lncRNA-mRNA prognosis signature. The OS difference of patients in the high-risk and low-risk risk groups was evaluated by Kaplan-Meier curve. Area under the receiver operating characteristic curve (AUC), Harrell concordance index (C-index) calculation, and multivariate analyses with clinical characteristics were used to determine the prognostic ability. Furthermore, a coexpression network was constructed to interpret the functions. Nine signature genes (3 lncRNAs and 6 mRNAs) were selected to generate the risk score model. Patients belonging to the high-risk group showed a significantly shorter survival than those of the low-risk group. The prediction accuracy of the risk score for 5-year OS was 0.936 and 0.905 for the training set and validation set, respectively. Also, this risk score was independent of various clinical variables for the prognosis prediction. Incorporation of the risk score remarkably increased the predictive power of the routine clinical prognostic factors (vascular invasion status, tumor recurrence status) (AUC = 0.942 vs 0.628; C-index = 0.7997 vs 0.6908). Furthermore, LncRNA insulin-like growth factor 2 antisense RNA (IGF2-AS) and long intergenic non-protein coding RNA 342 (LINC00342) were predicted to exert tumor suppression effects by regulating homeobox D1 (HOXD1) and secreted frizzled related protein 5 (SFRP5), respectively; while lncRNA rhophilin Rho GTPase binding protein 1 antisense RNA 1 (RHPN1-AS1) may possess carcinogenic potential by promoting the transcription of chromobox 2 (CBX2), cell division cycle 20 (CDC20), matrix metallopeptidase 12 (MMP12), stratifin (SFN), tripartite motif containing 16 (TRIM16), and uroplakin 3A (UPK3A). These mRNAs may be associated with cell proliferation or apoptosis related pathways. This study may provide a novel, effective prognostic biomarker, and some therapeutic targets for HBV-HCC patients.
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页数:12
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共 59 条
  • [21] A 9-lncRNA risk score system for predicting the prognosis of patients with hepatitis B virus-positive hepatocellular carcinoma
    Liu, Honghong
    Zhao, Ping
    Jin, Xueyuan
    Zhao, Yanling
    Chen, Yongqian
    Yan, Tao
    Wang, Jianjun
    Wu, Liang
    Sun, Yongqiang
    [J]. MOLECULAR MEDICINE REPORTS, 2019, 20 (01) : 573 - 583
  • [22] Long noncoding RNA LINC00342 promotes growth of infantile hemangioma by sponging miR-3619-5p from HDGF
    Liu, Zhen
    Kang, Zhenming
    Dai, Yujian
    Zheng, Huiming
    Wang, Yingjun
    [J]. AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY, 2019, 317 (04): : H830 - H839
  • [23] The Long Non-Coding RNA RHPN1-AS1 Promotes Uveal Melanoma Progression
    Lu, Linna
    Yu, Xiaoyu
    Zhang, Leilei
    Ding, Xia
    Pan, Hui
    Wen, Xuyang
    Xu, Shiqiong
    Xing, Yue
    Fan, Jiayan
    Ge, Shengfang
    Zhang, He
    Jia, Renbing
    Fan, Xianqun
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2017, 18 (01):
  • [24] CBX2 Regulates Proliferation and Apoptosis via the Phosphorylation of YAP in Hepatocellular Carcinoma
    Mao, Jiakai
    Tian, Yu
    Wang, Chengye
    Jiang, Keqiu
    Li, Rui
    Yao, Yifan
    Zhang, Rixin
    Sun, Deguang
    Liang, Rui
    Gao, Zhenming
    Wang, Qi
    Wang, Liming
    [J]. JOURNAL OF CANCER, 2019, 10 (12): : 2706 - 2719
  • [25] Overexpression of matrix metalloproteinase-12 (MMP-12) correlates with poor prognosis of hepatocellular carcinoma
    Ng, Kevin Tak-Pan
    Qi, Xiang
    Kong, Kar-Lok
    Cheung, Benedict Yan-Yui
    Lo, Chung-Mau
    Poon, Ronnie Tung-Ping
    Fan, Sheung-Tat
    Man, Kwan
    [J]. EUROPEAN JOURNAL OF CANCER, 2011, 47 (15) : 2299 - 2305
  • [26] The HUGO Gene Nomenclature Committee (HGNC)
    Povey, S
    Lovering, R
    Bruford, E
    Wright, M
    Lush, M
    Wain, H
    [J]. HUMAN GENETICS, 2001, 109 (06) : 678 - 680
  • [27] Knockdown of LncRNA RHPN1-AS1 Inhibits Cell Migration, Invasion and Proliferation in Head and Neck Squamous Cell Carcinoma
    Qiu, Xiaowen
    Lei, Zhuo
    Wang, Zeyou
    Xu, Yuming
    Liu, Chang
    Li, Panchun
    Wu, Hanjiang
    Gong, Zhaojian
    [J]. JOURNAL OF CANCER, 2019, 10 (17): : 4000 - 4008
  • [28] limma powers differential expression analyses for RNA-sequencing and microarray studies
    Ritchie, Matthew E.
    Phipson, Belinda
    Wu, Di
    Hu, Yifang
    Law, Charity W.
    Shi, Wei
    Smyth, Gordon K.
    [J]. NUCLEIC ACIDS RESEARCH, 2015, 43 (07) : e47
  • [29] Epigenetic silencing of SFRP5 promotes the metastasis and invasion of chondrosarcoma by expression inhibition and Wnt signaling pathway activation
    Sheng, Wei
    Zhang, Zhi-Cai
    Shi, De-Yao
    Wang, Bai-Chuan
    Wu, Qiang
    Shao, Zeng-Wu
    Yang, Shu-Hua
    He, Tong-Chuan
    Liu, Jian-Xiang
    [J]. CHEMICO-BIOLOGICAL INTERACTIONS, 2018, 296 : 1 - 8
  • [30] Overexpression of microRNA let-7 correlates with disease progression and poor prognosis in hepatocellular carcinoma
    Shi, Wenxia
    Zhang, Zili
    Yang, Bin
    Guo, Hua
    Jing, Li
    Liu, Tong
    Luo, Ying
    Liu, Hui
    Li, Yayue
    Gao, Yingtang
    [J]. MEDICINE, 2017, 96 (32)