Prioritization of therapeutic targets for cancers using integrative multi-omics analysis

被引:2
|
作者
Jin, Xin [1 ,2 ]
Mei, Yunyun [3 ]
Yang, Puyu [4 ]
Huang, Runze [1 ,2 ]
Zhang, Haifeng [4 ]
Wu, Yibin [1 ,2 ]
Wang, Miao [1 ,2 ]
He, Xigan [1 ,2 ]
Jiang, Ziting [2 ,5 ]
Zhu, Weiping [1 ,2 ]
Wang, Lu [1 ,2 ]
机构
[1] Fudan Univ, Shanghai Canc Ctr, Shanghai Med Coll, Dept Hepat Surg, Shanghai 200032, Peoples R China
[2] Fudan Univ, Shanghai Med Coll, Dept Oncol, Shanghai 200032, Peoples R China
[3] Fudan Univ, Shanghai Canc Ctr, Shanghai Med Coll, Dept Neurosurg, Shanghai 200032, Peoples R China
[4] Soochow Univ, Med Coll, Sch Publ Hlth, Dept Epidemiol, Suzhou, Peoples R China
[5] Fudan Univ, Shanghai Canc Ctr, Shanghai Med Coll, Dept Endoscopy, Shanghai 200032, Peoples R China
基金
中国国家自然科学基金;
关键词
Cancers; Genome-wide association studies; Therapeutic targets; Multi-omics; NRF2; pathway; GPX1 PRO198LEU POLYMORPHISM; RISK;
D O I
10.1186/s40246-024-00571-2
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background The integration of transcriptomic, proteomic, druggable genetic and metabolomic association studies facilitated a comprehensive investigation of molecular features and shared pathways for cancers' development and progression.Methods Comprehensive approaches consisting of transcriptome-wide association studies (TWAS), proteome-wide association studies (PWAS), summary-data-based Mendelian randomization (SMR) and MR were performed to identify genes significantly associated with cancers. The results identified in above analyzes were subsequently involved in phenotype scanning and enrichment analyzes to explore the possible health effects and shared pathways. Additionally, we also conducted MR analysis to investigate metabolic pathways related to cancers.Results Totally 24 genes (18 transcriptomic, 1 proteomic and 5 druggable genetic) showed significant associations with cancers risk. All genes identified in multiple methods were mainly enriched in nuclear factor erythroid 2-related factor 2 (NRF2) pathway. Additionally, biosynthesis of ubiquinol and urate were found to play an important role in gastrointestinal tumors.Conclusions A set of putatively causal genes and pathways relevant to cancers were identified in this study, shedding light on the shared biological processes for tumorigenesis and providing compelling genetic evidence to prioritize anti-cancer drugs development.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Prioritization of therapeutic targets for dyslipidemia using integrative multi-omics and multi-trait analysis
    Kim, Min Seo
    Song, Minku
    Kim, Beomsu
    Shim, Injeong
    Kim, Dan Say
    Natarajan, Pradeep
    Do, Ron
    Won, Hong-Hee
    CELL REPORTS MEDICINE, 2023, 4 (09)
  • [2] An integrative, multi-omics approach towards the prioritization of Klebsiella pneumoniae drug targets
    Ramos, Pablo Ivan Pereira
    Fernandez Do Porto, Dario
    Lanzarotti, Esteban
    Sosa, Ezequiel J.
    Burguener, German
    Pardo, Agustin M.
    Klein, Cecilia C.
    Sagot, Marie-France
    de Vasconcelos, Ana Tereza R.
    Gales, Ana Cristina
    Marti, Marcelo
    Turjanski, Adrian G.
    Nicolas, Marisa F.
    SCIENTIFIC REPORTS, 2018, 8
  • [3] An integrative, multi-omics approach towards the prioritization of Klebsiella pneumoniae drug targets
    Pablo Ivan Pereira Ramos
    Darío Fernández Do Porto
    Esteban Lanzarotti
    Ezequiel J. Sosa
    Germán Burguener
    Agustín M. Pardo
    Cecilia C. Klein
    Marie-France Sagot
    Ana Tereza R. de Vasconcelos
    Ana Cristina Gales
    Marcelo Marti
    Adrián G. Turjanski
    Marisa F. Nicolás
    Scientific Reports, 8
  • [4] Multi-Omics Integrative Analysis Uncovers Molecular Subtypes and mRNAs as Therapeutic Targets for Liver Cancer
    Shen, Yi
    Xiong, Wei
    Gu, Qi
    Zhang, Qin
    Yue, Jia
    Liu, Changsong
    Wang, Duan
    FRONTIERS IN MEDICINE, 2021, 8
  • [5] Identifying prioritization of therapeutic targets for ankylosing spondylitis: a multi-omics Mendelian randomization study
    Dai, Lingyu
    Xia, Lan
    Su, Guannan
    Gao, Yu
    Jiang, Qingyan
    Yang, Peizeng
    JOURNAL OF TRANSLATIONAL MEDICINE, 2024, 22 (01)
  • [6] Integrative multi-omics analysis for identifying novel therapeutic targets and predicting immunotherapy efficacy in lung adenocarcinoma
    Chen, Zilu
    Mei, Kun
    Tan, Foxing
    Zhou, Yuheng
    Du, Haolin
    Wang, Min
    Gu, Renjun
    Huang, Yan
    CANCER DRUG RESISTANCE, 2025, 8
  • [7] Multi-Omics Reveals IBS Therapeutic Targets
    不详
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2020, 108 (06) : 1121 - 1121
  • [8] Integrative analyses of immunophenotypes and multi-omics profiles in breast cancers
    Kan, Zhengyan
    Powell, Eric
    Ram, Sripad
    Ching, Keith
    Ding, Ying
    Vizcarra, Pamela
    Nichols, Tim
    Hardwick, James
    Lee, Soo-Hyeon
    Cho, Soo Youn
    Choi, Yoon-La
    Yu, Jong-Han
    Park, Yeon Hee
    CANCER RESEARCH, 2018, 78 (04)
  • [9] Identification of therapeutic targets of gallbladder cancer using multi-omics approach
    Ali, Asgar
    Ahmad, Ejaj
    Verma, Renu
    Sahu, Parameswar
    Nimisha
    Srivastava, Siddharth
    Saluja, Sundeep Singh
    BRIEFINGS IN FUNCTIONAL GENOMICS, 2023, 22 (02) : 109 - 122
  • [10] Prioritization of risk genes in colorectal cancer by integrative analysis of multi-omics data and gene networks
    Ming Zhang
    Xiaoyang Wang
    Nan Yang
    Xu Zhu
    Zequn Lu
    Yimin Cai
    Bin Li
    Ying Zhu
    Xiangpan Li
    Yongchang Wei
    Shaokai Zhang
    Jianbo Tian
    Xiaoping Miao
    Science China Life Sciences, 2024, 67 : 132 - 148