Yang DM, Zhou Q, Furman-Cline L, Cheng X, Luo D, Lai H, Li Y, Jin KW, Yao B, Leavey PJ, Rakheja D, Lo T, Hall D, Barkauskas DA, Shulman DS, Janeway K, Khanna C, Gorlick R, Menzies C, Zhan X, Xiao G, Skapek SX, Xu L, Klesse LJ, Crompton BD, Xie Y. Osteosarcoma Explorer: A Data Commons With Clinical, Genomic, Protein, and Tissue Imaging Data for Osteosarcoma Research. JCO Clin Cancer Inform. 2023 Sep;7:e2300104. doi: 10.1200/CCI.23.00104. PubMed PMID: 37956387; PubMed Central PMCID: PMC10681418.
Study ID Citation
Abstract
Osteosarcoma research advancement requires enhanced data integration across different modalities and sources. Current osteosarcoma research, encompassing clinical, genomic, protein, and tissue imaging data, is hindered by the siloed landscape of data generation and storage. Clinical, molecular profiling, and tissue imaging data for 573 patients with pediatric osteosarcoma were collected from four public and institutional sources. A common data model incorporating standardized terminology was created to facilitate the transformation, integration, and load of source data into a relational database. On the basis of this database, a data commons accompanied by a user-friendly web portal was developed, enabling various data exploration and analytics functions.