Machine learning-enabled spatial multi-omics uncovers lactate-driven targets and tumor microenvironmental reprogramming in cancer - Takeaways - MDSpire

Machine learning-enabled spatial multi-omics uncovers lactate-driven targets and tumor microenvironmental reprogramming in cancer

  • By

  • Yingzheng Tan

  • Wenliang Tan

  • Yanchao Liang

  • Yunzhu Long

  • Shuanghua Chen

  • Qihao Hu

  • Yangjing Ou

  • Jingli Fu

  • Huan Chen

  • Fangyuan Ren

  • Jun Ye

  • Qing Zhou

  • Sheng Li

  • Xiaojin He

  • Qianqian Wang

  • Yueming Shen

  • Haiyuan Lu

  • Daichao Wu

  • Anbo Gao

  • Xun Chen

  • Yukun Li

  • December 30, 2025

  • 0 min

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  • 1

    Lactate accumulation significantly influences the tumor microenvironment in lung adenocarcinoma (LUAD), affecting cell composition and function.

  • 2

    High-lactate tumors show increased epithelial and fibroblast populations, while low-lactate samples are enriched with T/NK cells and monocytes/macrophages.

  • 3

    Spatial metabolomics revealed distinct lactate distributions, with endothelial cells in high-lactate areas exhibiting angiogenic and stress-response signatures.

  • 4

    Machine learning models identified endothelial and fibroblast programs as key factors in high-lactate states and poor clinical outcomes.

  • 5

    The study highlights lactate-driven pathways as potential therapeutic targets, emphasizing their role in immune suppression and vascular remodeling in LUAD.

Original Source(s)

Machine learning-enabled spatial multi-omics uncovers lactate-driven targets and tumor microenvironmental reprogramming in cancer

  • by Yingzheng Tan, Wenliang Tan, Yanchao Liang, Yunzhu Long, Shuanghua Chen, Qihao Hu, Yangjing Ou, Jingli Fu, Huan Chen, Fangyuan Ren, Jun Ye, Qing Zhou, Sheng Li, Xiaojin He, Qianqian Wang, Yueming Shen, Haiyuan Lu, Daichao Wu, Anbo Gao, Xun Chen, Yukun Li

  • December 30, 2025

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