My Cancer Genome: Coevolution of Precision Oncology and a Molecular Oncology Knowledgebase
Plain-language summary
My Cancer Genome, a knowledge resource launched in 2011 to help clinicians interpret genomic test results for cancer treatment, originally relied on labor-intensive manual writing of each web page, which limited how quickly it could grow. The team redesigned it around an assertion-based data model, in which cause-and-effect statements are curated and stored so that reusable templates automatically generate and update the site's pages. This approach let the resource scale to more than 9,100 clinical trial pages, 18,100 gene and alteration pages, 900 disease pages, and 2,700 drug pages, illustrating how automated page generation can keep a precision oncology resource current as the field advances.
Read the full paper (DOI: 10.1200/CCI.21.00084).
This is a plain-language summary written for discoverability; the authoritative version is the published paper. Part of Travis Osterman's peer-reviewed publications.