肿瘤是由许多具有复杂结构的细胞类型组成的空间异质组织。通过与微环境相互作用，肿瘤细胞在基因表达和代谢方面经历动态变化，导致其增殖和转移能力的时空变异。近年来，组织学技术的快速发展使得可以进行高效和高通量的生物分子分析。通过获取大量基因和分子数据的同时保留位置信息，空间定位代谢组学（SRM）和空间定位转录组学（SRT）方法可以为肿瘤的深度研究提供新思路和可靠工具。本综述全面介绍和总结了SRM和SRT技术的基本原理和研究方法，并回顾了它们在与癌症相关领域的应用。© 2023 作者们。

Tumors are spatially heterogeneous tissues that comprise numerous cell types with intricate structures. By interacting with the microenvironment, tumor cells undergo dynamic changes in gene expression and metabolism, resulting in spatiotemporal variations in their capacity for proliferation and metastasis. In recent years, the rapid development of histological techniques has enabled efficient and high-throughput biomolecule analysis. By preserving location information while obtaining a large number of gene and molecular data, spatially resolved metabolomics (SRM) and spatially resolved transcriptomics (SRT) approaches can offer new ideas and reliable tools for the in-depth study of tumors. This review provides a comprehensive introduction and summary of the fundamental principles and research methods used for SRM and SRT techniques, as well as a review of their applications in cancer-related fields.© 2023 The Author(s).