Applying multi-omics toward tumor microbiome research

被引:19
|
作者
Zhang, Nan [1 ,2 ,3 ]
Kandalai, Shruthi [1 ,2 ,3 ]
Zhou, Xiaozhuang [1 ,2 ,3 ]
Hossain, Farzana [1 ,2 ,3 ]
Zheng, Qingfei [1 ,2 ,3 ,4 ,5 ]
机构
[1] Ohio State Univ, Coll Med, Dept Radiat Oncol, Columbus, OH USA
[2] Ohio State Univ, James Canc Hosp, Ctr Canc Metab, Comprehens Canc Ctr, Columbus, OH USA
[3] Ohio State Univ, Solove Res Inst, Columbus, OH USA
[4] Ohio State Univ, Coll Med, Dept Biol Chem & Pharmacol, Columbus, OH USA
[5] Tzagournis Med Res Facil, 420 W 12th Ave, Columbus, OH 43210 USA
来源
IMETA | 2023年 / 2卷 / 01期
关键词
cancer biology; host-microbe interaction; multi-omics; tumor microbiome; tumor microenvironment; MASS-SPECTROMETRY; MALDI-MS; GUT MICROBIOTA; CHIP-SEQ; CANCER-IMMUNOTHERAPY; HIGH-THROUGHPUT; COLON-CANCER; SINGLE CELLS; DUAL-RNA; METABOLOMICS;
D O I
10.1002/imt2.73
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Rather than a "short-term tenant," the tumor microbiome has been shown to play a vital role as a "permanent resident," affecting carcinogenesis, cancer development, metastasis, and cancer therapies. As the tumor microbiome has great potential to become a target for the early diagnosis and treatment of cancer, recent research on the relevance of the tumor microbiota has attracted a wide range of attention from various scientific fields, resulting in remarkable progress that benefits from the development of interdisciplinary technologies. However, there are still a great variety of challenges in this emerging area, such as the low biomass of intratumoral bacteria and unculturable character of some microbial species. Due to the complexity of tumor microbiome research (e.g., the heterogeneity of tumor microenvironment), new methods with high spatial and temporal resolution are urgently needed. Among these developing methods, multi-omics technologies (combinations of genomics, transcriptomics, proteomics, and metabolomics) are powerful approaches that can facilitate the understanding of the tumor microbiome on different levels of the central dogma. Therefore, multi-omics (especially single-cell omics) will make enormous impacts on the future studies of the interplay between microbes and tumor microenvironment. In this review, we have systematically summarized the advances in multi-omics and their existing and potential applications in tumor microbiome research, thus providing an omics toolbox for investigators to reference in the future. In this review, we have systematically summarized the advances of multi-omics and their existing and potential applications in tumor microbiome research, thus providing an omics toolbox for investigators to reference in the future.image The tumor microbiome plays a significant role in carcinogenesis, cancer development, metastasis, and cancer therapies.The tumor microbiome has great potential to become a target for early diagnosis and treatment of cancer.Genomics, transcriptomics, proteomics, and metabolomics are powerful approaches for tumor microbiome studies, by facilitating an understanding of different levels of the central dogma.Multi-omics will make enormous impacts on future research of the tumor microbiome.The development of single-cell multi-omics technologies will motivate the progression of the tumor microbiome field.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] Tapping into Plant-Microbiome Interactions through the Lens of Multi-Omics Techniques
    Mishra, Ajay Kumar
    Sudalaimuthuasari, Naganeeswaran
    Hazzouri, Khaled M.
    Saeed, Esam Eldin
    Shah, Iltaf
    Amiri, Khaled M. A.
    CELLS, 2022, 11 (20)
  • [22] Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis
    Menyhart, Otilia
    Gyorffy, Balazs
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 19 : 949 - 960
  • [23] The application of multi-omics in the respiratory microbiome: Progresses, challenges and promises
    Gao, Jingyuan
    Yi, Xinzhu
    Wang, Zhang
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2023, 21 : 4933 - 4943
  • [24] Multi-Omics Study of Keystone Species in a Cystic Fibrosis Microbiome
    Silveira, Cynthia B.
    Cobian-Guemes, Ana G.
    Uranga, Carla
    Baker, Jonathon L.
    Edlund, Anna
    Rohwer, Forest
    Conrad, Douglas
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, 22 (21)
  • [25] Advances in applying of multi-omics approaches in the research of systemic lupus erythematosus Summarization of biomarkers from different omics, and discussion of challenges and advances in integrative analysis of multi-omics in SLE studies
    Song, Wencong
    Tang, Donge
    Chen, Deheng
    Zheng, Fengping
    Huang, Shaoying
    Xu, Yong
    Yu, Haiyan
    He, Jingquan
    Hong, Xiaoping
    Yin, Lianghong
    Liu, Dongzhou
    Dai, Weier
    Dai, Yong
    INTERNATIONAL REVIEWS OF IMMUNOLOGY, 2020, 39 (04) : 163 - 173
  • [26] Multi-omics research strategies in ischemic stroke: A multidimensional perspective
    Li, Wentao
    Shao, Chongyu
    Zhou, Huifen
    Du, Haixia
    Chen, Haiyang
    Wan, Haitong
    He, Yu
    AGEING RESEARCH REVIEWS, 2022, 81
  • [27] Advances in multi-omics research on viral hepatitis
    Xiang, Ze
    Li, Jiayuan
    Lu, Di
    Wei, Xuyong
    Xu, Xiao
    FRONTIERS IN MICROBIOLOGY, 2022, 13
  • [28] Multi-omics: An Opportunity to Dive into Systems Biology
    Ferreira dos Santos, Emerson Andrade
    Santa Cruz, Elisa Castaneda
    Ribeiro, Henrique Caracho
    Barbosa, Luidy Darllan
    Zandonadi, Flavia da Silva
    Sussulini, Alessandra
    BRAZILIAN JOURNAL OF ANALYTICAL CHEMISTRY, 2020, 7 (29): : 18 - 44
  • [29] Multi-Omics Profiling for Health
    Babu, Mohan
    Snyder, Michael
    MOLECULAR & CELLULAR PROTEOMICS, 2023, 22 (06)
  • [30] A Deep Learning Multi-omics Framework to Combine Microbiome and Metabolome Profiles for Disease Classification
    Licciardi, Andrea
    Fiannaca, Antonino
    La Rosa, Massimo
    Urso, Maurizio Alfonso
    La Paglia, Laura
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING-ICANN 2024, PT VIII, 2024, 15023 : 3 - 14