 This study used multiple omics techniques to investigate the spatial distribution of metabolites, lipids, and gene expression in gastric cancer samples. The results revealed that tumors were composed of different cell populations, which had distinct metabolic profiles and gene expression patterns. Additionally, the researchers found that tumor cells interacted with normal cells in the tumor microenvironment, resulting in unique metabolic and immunological changes. This study provides new insights into how tumors form and grow, and could lead to more effective treatments for gastric cancer patients. This article was authored by Qinglong Sun, Ansheng Wang, Yan Hejiu, and others.