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
  • [1] LncRNA LINC00342 regulated cell growth and metastasis in non-small cell lung cancer via targeting miR-203a-3p
    Chen, Q-F
    Kong, J-L
    Zou, S-C
    Gao, H.
    Wang, F.
    Qin, S-M
    Wang, W.
    [J]. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES, 2019, 23 (17) : 7408 - 7418
  • [2] Long Noncoding RNA IGF2AS is Acting as an Epigenetic Tumor Suppressor in Human Prostate Cancer
    Chen, Qiang
    Sun, Ting
    Wang, Fang
    Gong, Binbin
    Xie, Wenjie
    Ma, Ming
    Yang, Xiaorong
    [J]. UROLOGY, 2019, 124 : 310.e1 - 310.e8
  • [3] Identification of Potential Key Genes for Hepatitis B Virus-Associated Hepatocellular Carcinoma by Bioinformatics Analysis
    Chen, Zide
    Chen, Jiehua
    Huang, Xuan
    Wu, Yi
    Huang, Kuiyuan
    Xu, Weikang
    Xie, Linqing
    Zhang, Xiaoyong
    Liu, Hongyan
    [J]. JOURNAL OF COMPUTATIONAL BIOLOGY, 2019, 26 (05) : 485 - 494
  • [4] Transcriptome profiling reveals an integrated mRNA-lncRNA signature with predictive value of early relapse in colon cancer
    Dai, Weixing
    Feng, Yang
    Mo, Shaobo
    Xiang, Wenqiang
    Li, Qingguo
    Wang, Renjie
    Xu, Ye
    Cai, Guoxiang
    [J]. CARCINOGENESIS, 2018, 39 (10) : 1235 - 1244
  • [5] Modulation of Wnt signaling pathway by hepatitis B virus
    Daud, Muhammad
    Rana, Muhammad Adeel
    Husnain, Tayyab
    Ijaz, Bushra
    [J]. ARCHIVES OF VIROLOGY, 2017, 162 (10) : 2937 - 2947
  • [6] LncRNA RHPN1-AS1 promoted cell proliferation, invasion and migration in cervical cancer via the modulation of miR-299-3p/FGF2 axis
    Duan, Haixia
    Li, Xiaojuan
    Chen, Youyi
    Wang, Yan
    Li, Zhibin
    [J]. LIFE SCIENCES, 2019, 239
  • [7] MicroRNA signature in hepatocellular carcinoma patients: identification of potential markers
    Elhendawy, Mohammed
    Abdul-Baki, Enas A.
    Abd-Elsalam, Sherief
    Hagras, Maha M.
    Zidan, Abdul-Aziz
    Abdel-Naby, Amira Y.
    Watny, Mona
    Elkabash, Ibrahem Ali
    Salem, Mohamed Labib
    Elshanshoury, Mohamed
    Soliman, Shaimaa
    Abdou, Said
    [J]. MOLECULAR BIOLOGY REPORTS, 2020, 47 (07) : 4945 - 4953
  • [8] L1 Penalized Estimation in the Cox Proportional Hazards Model
    Goeman, Jelle J.
    [J]. BIOMETRICAL JOURNAL, 2010, 52 (01) : 70 - 84
  • [9] Matrix metalloproteinase 12 expression is associated with tumor FOXP3+ regulatory T cell infiltration and poor prognosis in hepatocellular carcinoma
    He, Min-Ke
    Le, Yong
    Zhang, Yong-Fa
    Ouyang, Han-Yue
    Jian, Pei-En
    Yu, Zi-Shan
    Wang, Li-Juan
    Shi, Ming
    [J]. ONCOLOGY LETTERS, 2018, 16 (01) : 475 - 482
  • [10] Identification of a Combined RNA Prognostic Signature in Adenocarcinoma of the Lung
    He, Si-Yu
    Xi, Wen-Jing
    Wang, Xin
    Xu, Chao-Han
    Cheng, Liang
    Liu, Si-Yao
    Meng, Qian-Qian
    Li, Boyan
    Wang, Yahui
    Shi, Hong-Bo
    Wang, Hong-Jiu
    Wang, Zhen-Zhen
    [J]. MEDICAL SCIENCE MONITOR, 2019, 25 : 3941 - 3956