Integrated multi-omics analysis identifies ENY2 as a predictor of recurrence and a regulator of telomere maintenance in hepatocellular carcinoma

被引:7
|
作者
Li, Jian-Hua [1 ]
Tao, Yi-Feng [1 ]
Shen, Cong-Huan [1 ]
Li, Rui-Dong [2 ]
Wang, Zheng [3 ]
Xing, Hao [1 ]
Ma, En-Si [1 ]
Xue, Hong-Yuan [1 ]
Zhang, Quan-Bao [1 ]
Ma, Zhen-Yu [1 ]
Wang, Zheng-Xin [1 ]
机构
[1] Fudan Univ, Huashan Hosp, Dept Gen Surg, Shanghai, Peoples R China
[2] Fudan Univ, Huashan Hosp, Dept Crit Care Med, Shanghai, Peoples R China
[3] Shanghai Jiao Tong Univ, Ruijin Hosp, Comprehens Breast Hlth Ctr, Dept Gen Surg,Sch Med, Shanghai, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2022年 / 12卷
基金
中国国家自然科学基金;
关键词
hepatocellular carcinoma; recurrence risk; prognostic factor; ENY2; telomere maintenance; EXPRESSION; PACKAGE;
D O I
10.3389/fonc.2022.939948
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and has a high recurrence rate. Accurate prediction of recurrence risk is urgently required for tailoring personalized treatment programs for individual HCC patients in advance. In this study, we analyzed a gene expression dataset from an HCC cohort with 247 samples and identified five genes including ENY2, GPAA1, NDUFA4L2, NEDD9, and NRP1 as the variables for the prediction of HCC recurrence, especially the early recurrence. The Cox model and risks score were validated in two public HCC cohorts (GSE76427 and The Cancer Genome Atlas (TCGA)) and one cohort from Huashan Hospital, which included a total of 641 samples. Moreover, the multivariate Cox regression analysis revealed that the risk score could serve as an independent prognostic factor in the prediction of HCC recurrence. In addition, we found that ENY2, GPAA1, and NDUFA4L2 were significantly upregulated in HCC of the two validation cohorts, and ENY2 had significantly higher expression levels than another four genes in malignant cells, suggesting that ENY2 might play key roles in malignant cells. The cell line analysis revealed that ENY2 could promote cell cycle progression, cell proliferation, migration, and invasion. The functional analysis of the genes correlated with ENY2 revealed that ENY2 might be involved in telomere maintenance, one of the fundamental hallmarks of cancer. In conclusion, our data indicate that ENY2 may regulate the malignant phenotypes of HCC via activating telomere maintenance.
引用
收藏
页数:14
相关论文
共 50 条
  • [11] MULTI-OMICS ANALYSES IDENTIFY NUCLEOPHOSMIN AS A KEY REGULATOR OF APOPTOSIS RESISTANCE IN HUMAN HEPATOCELLULAR CARCINOMA
    Naoe, Hideaki
    Watanabe, Takehisa
    Nagaoka, Katsuya
    Fujimoto, Nahoko
    Araki, Norie
    Fujimoto, Jiro
    Tanaka, Motohiko
    Sasaki, Yutaka
    HEPATOLOGY, 2019, 70 : 562A - 562A
  • [12] Integrated multi-omics profiling to dissect the spatiotemporal evolution of metastatic hepatocellular carcinoma.
    Sun, Yun-Fan
    Zhang, Zefan
    Fan, Jia
    JOURNAL OF CLINICAL ONCOLOGY, 2024, 42 (3_SUPPL) : 556 - 556
  • [13] INTEGRATIVE MULTI-OMICS APPROACH FOR STRATIFICATION OF TUMOR RECURRENCE RISK GROUPS OF HEPATOCELLULAR CARCINOMA PATIENTS
    Kaur, Harpreet
    Lathwal, Anjali
    Dhall, Anjali
    Raghava, Gajendra P. S.
    HEPATOLOGY, 2021, 74 : 346A - 347A
  • [14] Integrated multi-omics analysis of genomics, epigenomics, and transcriptomics in ovarian carcinoma
    Zheng, Mingjun
    Hu, Yuexin
    Gou, Rui
    Wang, Jing
    Nie, Xin
    Li, Xiao
    Liu, Qing
    Liu, Juanjuan
    Lin, Bei
    AGING-US, 2019, 11 (12): : 4198 - 4215
  • [15] Use of integrated multi-omics analysis to determine antitumor efficacy of donafenib in combination with FADS2 inhibition in hepatocellular carcinoma
    Li, Hui
    Wu, Di
    Dai, Yafeng
    Gao, Song
    Guo, Jianhai
    Zhang, Pengjun
    Kou, Fuxin
    Liu, Shaoxing
    Feng, Aiwei
    Liu, Baojiang
    Zhu, Xu
    JOURNAL OF CLINICAL ONCOLOGY, 2024, 42 (16)
  • [16] Multi-omics Analysis of Microenvironment Characteristics and Immune Escape Mechanisms of Hepatocellular Carcinoma
    Li, Wenli
    Wang, Huimei
    Ma, Zhanzhong
    Zhang, Jian
    Ou-yang, Wen
    Qi, Yan
    Liu, Jun
    FRONTIERS IN ONCOLOGY, 2019, 9
  • [17] Integrated multi-omics analysis of Huntington disease identifies pathways that modulate protein aggregation
    Pradhan, Sai S.
    Thota, Sai M.
    Rajaratnam, Saiswaroop
    Bhagavatham, Sai K. S.
    Pulukool, Sujith K.
    Rathnakumar, Sriram
    Phalguna, Kanikaram S.
    Dandamudi, Rajesh B.
    Pargaonkar, Ashish
    Joseph, Prasanth
    Joshy, E., V
    Sivaramakrishnan, Venketesh
    DISEASE MODELS & MECHANISMS, 2022, 15 (10)
  • [18] Identification of molecular subtypes for integrated multi-omics analysis for use in guiding precision medicine in hepatocellular carcinoma.
    Chen, Yihong
    Han, Ying
    Cai, Changjing
    Peng, Yinghui
    Ma, Jiayao
    Shen, Hong
    Zeng, Shan
    JOURNAL OF CLINICAL ONCOLOGY, 2024, 42 (16)
  • [19] Multi-omics analysis identifies ATF4 as a key regulator of the mitochondrial stress response in mammals
    Quiros, Pedro M.
    Prado, Miguel A.
    Zamboni, Nicola
    D'Amico, Davide
    Williams, Robert W.
    Finley, Daniel
    Gygi, Steven P.
    Auwerx, Johan
    JOURNAL OF CELL BIOLOGY, 2017, 216 (07): : 2027 - 2045
  • [20] Multi-omics analysis identifies FoxO1 as a regulator of macrophage function through metabolic reprogramming
    Yan, Kai
    Da, Tian-Tian
    Bian, Zhen-Hua
    He, Yi
    Liu, Meng-Chu
    Liu, Qing-Zhi
    Long, Jie
    Li, Liang
    Gao, Cai-Yue
    Yang, Shu-Han
    Zhao, Zhi-Bin
    Lian, Zhe-Xiong
    CELL DEATH & DISEASE, 2020, 11 (09)