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.
All Phase 1 Biopharma Collaborative datasets (NSCLC, CRC, PANC, Prostate, Breast, and Bladder are now publicly available.
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).
