Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma

被引:8
|
作者
Dimitrakopoulos, Christos [1 ,2 ,3 ]
Hindupur, Sravanth Kumar [4 ,5 ]
Colombi, Marco [4 ]
Liko, Dritan [4 ]
Ng, Charlotte K. Y. [6 ,7 ]
Piscuoglio, Salvatore [6 ,8 ,9 ]
Behr, Jonas [1 ,2 ]
Moore, Ariane L. [1 ,2 ]
Singer, Jochen [1 ,2 ]
Ruscheweyh, Hans-Joachim [1 ,2 ]
Matter, Matthias S. [6 ]
Mossmann, Dirk [4 ]
Terracciano, Luigi M. [6 ]
Hall, Michael N. [4 ]
Beerenwinkel, Niko [1 ,2 ]
机构
[1] Swiss Fed Inst Technol, Dept Biosyst Sci & Engn, CH-4058 Basel, Switzerland
[2] Swiss Inst Bioinformat, Basel, Switzerland
[3] Roche, PTD Biol Europe, CH-4070 Basel, Switzerland
[4] Univ Basel, Biozentrum, CH-4056 Basel, Switzerland
[5] Novartis Inst BioMed Res, Dis Area Oncol, CH-4002 Basel, Switzerland
[6] Univ Hosp Basel, Inst Pathol, CH-4031 Basel, Switzerland
[7] Univ Bern, Dept BioMed Res, CH-3008 Bern, Switzerland
[8] Clarunis, Visceral Surg Res Lab, Dept Biomed, Basel, Switzerland
[9] Clarunis Univ Bauchzentrum Basel, Basel, Switzerland
基金
欧洲研究理事会;
关键词
HCC; mTOR signaling; NetICS; Omics; CANCER-CELLS; TUMOR; PROGRESSION; GROWTH; HDAC4; LIVER; IDENTIFICATION; TUMORIGENESIS; INHIBITION; REPRESSION;
D O I
10.1186/s12864-021-07876-9
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
BackgroundGenetic aberrations in hepatocellular carcinoma (HCC) are well known, but the functional consequences of such aberrations remain poorly understood.ResultsHere, we explored the effect of defined genetic changes on the transcriptome, proteome and phosphoproteome in twelve tumors from an mTOR-driven hepatocellular carcinoma mouse model. Using Network-based Integration of multi-omiCS data (NetICS), we detected 74 'mediators' that relay via molecular interactions the effects of genetic and miRNA expression changes. The detected mediators account for the effects of oncogenic mTOR signaling on the transcriptome, proteome and phosphoproteome. We confirmed the dysregulation of the mediators YAP1, GRB2, SIRT1, HDAC4 and LIS1 in human HCC.ConclusionsThis study suggests that targeting pathways such as YAP1 or GRB2 signaling and pathways regulating global histone acetylation could be beneficial in treating HCC with hyperactive mTOR signaling.
引用
收藏
页数:26
相关论文
共 50 条
  • [1] Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma
    Christos Dimitrakopoulos
    Sravanth Kumar Hindupur
    Marco Colombi
    Dritan Liko
    Charlotte K. Y. Ng
    Salvatore Piscuoglio
    Jonas Behr
    Ariane L. Moore
    Jochen Singer
    Hans-Joachim Ruscheweyh
    Matthias S. Matter
    Dirk Mossmann
    Luigi M. Terracciano
    Michael N. Hall
    Niko Beerenwinkel
    BMC Genomics, 22
  • [2] Integration of multi-omics data reveals molecular features of Hispanic hepatocellular carcinoma
    Das, Debodipta
    Wang, Xiaojing
    Chiu, Yu-Chiao
    Bouamar, Hakim
    Chen, Yidong
    Zheng, Siyuan
    Cigarroa, Francisco G.
    Sun, Lu-Zhe
    CANCER RESEARCH, 2022, 82 (12)
  • [3] Multi-omics data integration for hepatocellular carcinoma subtyping with multi-kernel learning
    Wang, Jiaying
    Miao, Yuting
    Li, Lingmei
    Wu, Yongqing
    Ren, Yan
    Cui, Yuehua
    Cao, Hongyan
    FRONTIERS IN GENETICS, 2022, 13
  • [4] Multi-omics data integration reveals molecular targets of carfilzomib resistance in multiple myeloma
    Huber, Julia
    Malyutina, Alina
    Bolomsky, Arnold
    Zojer, Niklas
    Schreder, Martin
    Schneller, Anja
    Pfeiffer, Christina
    Miettinen, Juho
    Tang, Jing
    Heckman, Caroline
    Ludwig, Heinz
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2022, 22 : S92 - S93
  • [5] Multi-omics integration prioritizing potential drug targets for multiple sclerosis
    Jiang, Yuan
    Jiang, Xia
    MULTIPLE SCLEROSIS JOURNAL, 2024, 30 (03) : 494 - 494
  • [6] Integrative multi-omics analysis reveals a novel subtype of hepatocellular carcinoma with biological and clinical relevance
    Li, Shizhou
    Lin, Yan
    Gao, Xing
    Zeng, Dandan
    Cen, Weijie
    Su, Yuejiao
    Su, Jingting
    Zeng, Can
    Huang, Zhenbo
    Zeng, Haoyu
    Huang, Shilin
    Tang, Minchao
    Li, Xiaoqing
    Luo, Min
    Huang, Zhihu
    Liang, Rong
    Ye, Jiazhou
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [7] Integrated Multi-Omics Data Analysis Reveals Associations Between Glycosylation and Stemness in Hepatocellular Carcinoma
    Liu, Peiyan
    Zhou, Qi
    Li, Jia
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [8] Multi-Omics Reveals IBS Therapeutic Targets
    不详
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2020, 108 (06) : 1121 - 1121
  • [9] A bridge between multi-omics data and the management of hepatocellular carcinoma
    Nishida, Naoshi
    Kudo, Masatoshi
    ANNALS OF TRANSLATIONAL MEDICINE, 2015, 3 (01)
  • [10] Survey on Multi-omics, and Multi-omics Data Analysis, Integration and Application
    Shahrajabian, Mohamad Hesam
    Sun, Wenli
    CURRENT PHARMACEUTICAL ANALYSIS, 2023, 19 (04) : 267 - 281