scRNAseq Analysis of Osteosarcoma Reveals Conserved and Distinct Ecosystems Across Sites and Species
Osteosarcoma exhibits profound heterogeneity that has long challenged efforts to understand its mechanisms and advance therapeutic progress. To unravel this complexity, we compiled the largest cross-species single-cell transcriptomic dataset, integrating 775,441 cells from human patients, dog patients, patient-derived xenografts, and mouse models. To our knowledge, this dataset represents the first multi-species, multi-technology, and multi-site (primary and metastatic) harmonization of single-cell data for any solid tumor, enabling a unified framework for interrogating inter- and intra-tumor heterogeneity across biological and evolutionary contexts. Through this work, we define subpopulations of osteosarcoma tumor cells that are conserved across tumors, species, and disease sites.... (for more see dbGaP study page.)