The AACR Project GENIE Data Model (GDM), developed by the AACR Project GENIE consortium, is an open-source, pan-cancer framework that standardizes longitudinal clinico-genomic data from diagnosis through long-term outcomes.
AACR Project GENIE v19.0-public is now available (271,837 samples / 227,696 patients) with newly added cfDNA samples.
At the Molecular Targets Meeting in Boston, Massachusetts, sessions highlighted the diverse applications of AACR Project GENIE data, including leveraging clinico-genomic information for research (Ken Kehl, DFCI), examining off-label targeted therapy utilization within GENIE BPC datasets (Jeremy Warner, Brown), and identifying novel drug targets through GENIE data analysis (Phillip Beer, Step Pharma).