A multi-modal data resource for investigating geographic heterogeneity in patient-derived xenograft tumors

This project describes a multi-modal, large-scale dataset to investigate PDX heterogeneity in metastatic colorectal cancer across tumor models, spatial scales and genomic, transcriptomic, proteomic and imaging assay modalities. We developed methodology to assess sources of PDX variation, including anatomical orientation within the implanted tumor, mouse contribution, and differences between replicate PDX tumors. It provides a benchmark data resource to investigate PDX models of metastatic CRC and serves as a template for future, quantitative investigations of spatial heterogeneity within and across PDX tumor models.