Identification of therapeutic targets of gallbladder cancer using multi-omics approach

被引:1
|
作者
Ali, Asgar [1 ]
Ahmad, Ejaj [1 ]
Verma, Renu [1 ]
Sahu, Parameswar [1 ]
Nimisha [1 ]
Srivastava, Siddharth [1 ]
Saluja, Sundeep Singh [1 ]
机构
[1] GIPMER, Dept GI Surg, 1, Jawaharlal Nehru Marg, New Delhi 110002, India
关键词
omics; epigenomics; gallbladder cancer; proteomics; therapeutics targets; BILIARY-TRACT CANCERS; K-RAS; MASS-SPECTROMETRY; GENE-MUTATIONS; PROMOTER HYPERMETHYLATION; EPIGENETIC REGULATION; MOLECULAR-ORIGINS; EARLY-DIAGNOSIS; INCREASED RISK; BREAST-CANCER;
D O I
10.1093/bfgp/elac045
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
Gallbladder cancer (GBC) is the sixth most common cancer diagnosed at a late stage, causing significant loss of human lives. It is imperative to identify suitable biomarkers to diagnose it at an early stage as well as recognize important therapeutic targets to effectively treat the patients in the advanced stage of the disease. Multi-omics is a novel approach conceptualized to identify changes in every molecule produced in the cells/tissues at the genome, epigenome, transcriptome, proteome and metabolome level. The initiation and progression of tumors result from changes in the genes (mutation, epigenetic), evident at transcription, translation and metabolite levels. Identifying these changes can enhance the early diagnosis and therapeutic targeting of advanced tumors. The huge accrual of the multi-omics public data and its continuous enrichment are a valuable source to advance this research area by analyzing them diligently. The multi-omics approach has been applied to sub-categorize the tumors with the primary objective of clinical annotation, which includes tumor histology, response to therapies and the identification of predictive biomarkers to understand the response of targeted treatment. Herein, we have summarized the literature on the multi-omics data used to identify the suitable therapeutic targets for GBC patients.
引用
收藏
页码:109 / 122
页数:14
相关论文
共 50 条
  • [1] Multi-omics approach to identifying isoform variants as therapeutic targets in cancer patients
    Shaw, Timothy I.
    Zhao, Bi
    Li, Yuxin
    Wang, Hong
    Wang, Liang
    Manley, Brandon
    Stewart, Paul A.
    Karolak, Aleksandra
    [J]. FRONTIERS IN ONCOLOGY, 2022, 12
  • [2] Investigation of therapeutic networks in pancreatic cancer using multi-omics approach
    Kawabata, Reika
    [J]. CANCER SCIENCE, 2021, 112 : 320 - 320
  • [3] Multi-Omics Reveals IBS Therapeutic Targets
    不详
    [J]. CLINICAL PHARMACOLOGY & THERAPEUTICS, 2020, 108 (06) : 1121 - 1121
  • [4] Prioritization of therapeutic targets for cancers using integrative multi-omics analysis
    Jin, Xin
    Mei, Yunyun
    Yang, Puyu
    Huang, Runze
    Zhang, Haifeng
    Wu, Yibin
    Wang, Miao
    He, Xigan
    Jiang, Ziting
    Zhu, Weiping
    Wang, Lu
    [J]. HUMAN GENOMICS, 2024, 18 (01)
  • [5] Multi-omics approaches to therapeutic target identification
    Hassan, Md Imtaiyaz
    [J]. BRIEFINGS IN FUNCTIONAL GENOMICS, 2023, 22 (02) : 75 - 75
  • [6] Application of Multi-Omics Approach in Sarcomas: A Tool for Studying Mechanism, Biomarkers, and Therapeutic Targets
    Zou, Zijian
    Sun, Wei
    Xu, Yu
    Liu, Wanlin
    Zhong, Jingqin
    Lin, Xinyi
    Chen, Yong
    [J]. FRONTIERS IN ONCOLOGY, 2022, 12
  • [7] Multi-Omics Approach in the Identification of Potential Therapeutic Biomolecule for COVID-19
    Singh, Rachana
    Singh, Pradhyumna Kumar
    Kumar, Rajnish
    Kabir, Md. Tanvir
    Kamal, Mohammad Amjad
    Rauf, Abdur
    Albadrani, Ghadeer M.
    Sayed, Amany A.
    Mousa, Shaker A.
    Abdel-Daim, Mohamed M.
    Uddin, Md. Sahab
    [J]. FRONTIERS IN PHARMACOLOGY, 2021, 12
  • [8] Identification of antiparasitic drug targets using a multi-omics workflow in the acanthocephalan model
    Schmidt, Hanno
    Mauer, Katharina
    Glaser, Manuel
    Dezfuli, Bahram Sayyaf
    Hellmann, Soren Lukas
    Silva Gomes, Ana Lucia
    Butter, Falk
    Wade, Rebecca C.
    Hankeln, Thomas
    Herlyn, Holger
    [J]. BMC GENOMICS, 2022, 23 (01)
  • [9] Identification of antiparasitic drug targets using a multi-omics workflow in the acanthocephalan model
    Hanno Schmidt
    Katharina Mauer
    Manuel Glaser
    Bahram Sayyaf Dezfuli
    Sören Lukas Hellmann
    Ana Lúcia Silva Gomes
    Falk Butter
    Rebecca C. Wade
    Thomas Hankeln
    Holger Herlyn
    [J]. BMC Genomics, 23
  • [10] 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
    [J]. CELL REPORTS MEDICINE, 2023, 4 (09)