A comprehensive scientific review in the dataset links tissue architecture to cancer therapy resistance by synthesizing spatial multi-omics approaches. The review argues that mapping tissue coordinates, metabolic gradients, and cellular microenvironments can clarify why tumors escape treatment pressures. Spatial multi-omics—methods that measure molecular features while preserving their location in tissue—are positioned as a way to connect tumor structure to functional states that drive progression and treatment failure. For translational teams, the report underscores why next-generation biomarkers are trending toward spatially resolved signatures rather than single-region averages, especially for understanding heterogeneous resistance mechanisms.