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3D multi-omics tumour atlases: from technology to biology and clinical translation
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DOI：10.1038/s41568-026-00940-0.png)
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Abstract
En 中文
Human tumours consist of highly heterogeneous and interacting cell types organized within a complex 3D space, forming a dynamic ecosystem that evolves through the development of pre-malignant lesions, tumour initiation, progression, invasion and metastasis. Understanding the operational principles of tumour evolution at a holistic 3D level is critical for improving the ability to intercept and treat cancer early. Emerging technologies in spatial multi-omics and the generation of 3D tumour atlases are beginning to address this critical need. These efforts aim to capture the intricate interactions within precancerous lesions, tumours and their surrounding ecosystems over space and time. In this Review, we highlight emerging tools developed within and beyond the tumour atlas community and explore their potential in constructing comprehensive 3D tumour atlases. Such atlases have the potential to reveal novel biomarkers for risk stratification, early detection, preventive intervention, and transformative diagnostic and treatment strategies. Furthermore, a 3D tumour atlas can generate new insights into the molecular and cellular mechanisms driving human tumour evolution, paving the way for future research and innovation in cancer biology. In this Review, Liu et al. describe the established and emerging tools for the generation of comprehensive 3D tumour atlases, the analysis of which has the potential to uncover novel biomarkers for risk stratification, early detection, preventive interventions, and transformative diagnostic and treatment strategies.
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