Single-cell and spatial transcriptomics Open access Peer reviewed

Spatial omics at the forefront: emerging technologies, analytical innovations, and clinical applications

Yunhe Liu, Yibo Dai, Linghua Wang

Cancer Cell | Dec 31, 2025 | 50 citations

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How spatially organized features, from immune hubs to microbiota and neural interfaces, shape tumor evolution and clinical outcomes is summarized, positioning spatial omics as a cornerstone of next-generation predictive and precision oncology.

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Spatial omics transforms our understanding of cancer by revealing how tumor cells and the microenvironment are organized, interact, and evolve within tissues. Here, we synthesize advances in spatial technologies that map tumor ecosystems with unprecedented fidelity. We highlighted analytical breakthroughs-including multimodal integration and emerging spatial foundation models-that resolve functional niches and spatial communities, converting spatial patterns into mechanistic insights. We summarize how spatially organized features, from immune hubs to microbiota and neural interfaces, shape tumor evolution and clinical outcomes. We then outline how spatial approaches illuminate precancer biology, metastatic adaptation, and therapy response. Bridging discovery and translation, we provide a practical roadmap for incorporating spatial readouts into clinically oriented study design. We conclude by discussing persistent challenges in standardization and scalability and how high-plex spatial discoveries may be distilled into scalable, AI-enabled, clinically deployable assays, positioning spatial omics as a cornerstone of next-generation predictive and precision oncology.

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Authors

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Yunhe Liu

first | The University of Texas MD Anderson Cancer Center

Yibo Dai

middle | The University of Texas MD Anderson Cancer Center

Linghua Wang

last | The University of Texas MD Anderson Cancer Center

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Citation

BibTeX

@article{Liu2025Spatial,
  title = {Spatial omics at the forefront: emerging technologies, analytical innovations, and clinical applications},
  author = {Yunhe Liu and Yibo Dai and Linghua Wang},
  journal = {Cancer Cell},
  year = {2025},
  doi = {10.1016/j.ccell.2025.12.009},
  url = {https://doi.org/10.1016/j.ccell.2025.12.009}
}

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