No description.This dataset contains spatial transcriptomics data used to analyze the spatial distribution of biological processes associated with cancer hallmarks in human tumor samples. The data come from untreated primary tumors from multiple cancer types and allow the study of gene expression activity across different regions of the tumor and its surrounding microenvironment.

The dataset includes gene expression matrices, spatial coordinates associated with each measurement point, and sample metadata. These data enable the identification of spatial patterns of molecular activity, comparison of functional organization across tumors, and exploration of the relationship between tumor heterogeneity and characteristics of the tumor microenvironment.

The dataset may be useful for researchers in bioinformatics, cancer biology, and spatial transcriptomics who aim to study the molecular organization of tumors, develop spatial analysis methods, or investigate relationships between tumor biological processes and treatment response.