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Spatially resolved multi-omics highlights cell-specific metabolic remodeling and interactions in gastric cancer

Author

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  • Chenglong Sun

    (Chinese Academy of Medical Sciences and Peking Union Medical College
    Qilu University of Technology (Shandong Academy of Sciences)
    Qilu University of Technology (Shandong Academy of Sciences))

  • Anqiang Wang

    (Peking University Cancer Hospital and Institute)

  • Yanhe Zhou

    (Chinese Academy of Medical Sciences and Peking Union Medical College)

  • Panpan Chen

    (Qilu University of Technology (Shandong Academy of Sciences)
    Qilu University of Technology (Shandong Academy of Sciences))

  • Xiangyi Wang

    (Chinese Academy of Medical Sciences and Peking Union Medical College)

  • Jianpeng Huang

    (Chinese Academy of Medical Sciences and Peking Union Medical College)

  • Jiamin Gao

    (Chinese Academy of Medical Sciences and Peking Union Medical College)

  • Xiao Wang

    (Qilu University of Technology (Shandong Academy of Sciences)
    Qilu University of Technology (Shandong Academy of Sciences))

  • Liebo Shu

    (Shanghai Luming Biological Technology co.Ltd)

  • Jiawei Lu

    (Shanghai Luming Biological Technology co.Ltd)

  • Wentao Dai

    (Fudan University
    Shanghai Jiao Tong University School of Medicine)

  • Zhaode Bu

    (Peking University Cancer Hospital and Institute)

  • Jiafu Ji

    (Peking University Cancer Hospital and Institute)

  • Jiuming He

    (Chinese Academy of Medical Sciences and Peking Union Medical College
    Chinese Academy of Medical Sciences and Peking Union Medical College)

Abstract

Mapping tumor metabolic remodeling and their spatial crosstalk with surrounding non-tumor cells can fundamentally improve our understanding of tumor biology, facilitates the designing of advanced therapeutic strategies. Here, we present an integration of mass spectrometry imaging-based spatial metabolomics and lipidomics with microarray-based spatial transcriptomics to hierarchically visualize the intratumor metabolic heterogeneity and cell metabolic interactions in same gastric cancer sample. Tumor-associated metabolic reprogramming is imaged at metabolic-transcriptional levels, and maker metabolites, lipids, genes are connected in metabolic pathways and colocalized in the heterogeneous cancer tissues. Integrated data from spatial multi-omics approaches coherently identify cell types and distributions within the complex tumor microenvironment, and an immune cell-dominated “tumor-normal interface” region where tumor cells contact adjacent tissues are characterized with distinct transcriptional signatures and significant immunometabolic alterations. Our approach for mapping tissue molecular architecture provides highly integrated picture of intratumor heterogeneity, and transform the understanding of cancer metabolism at systemic level.

Suggested Citation

  • Chenglong Sun & Anqiang Wang & Yanhe Zhou & Panpan Chen & Xiangyi Wang & Jianpeng Huang & Jiamin Gao & Xiao Wang & Liebo Shu & Jiawei Lu & Wentao Dai & Zhaode Bu & Jiafu Ji & Jiuming He, 2023. "Spatially resolved multi-omics highlights cell-specific metabolic remodeling and interactions in gastric cancer," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38360-5
    DOI: 10.1038/s41467-023-38360-5
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    References listed on IDEAS

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