AACR Project GENIE® at the AACR Annual Meeting 2026
The AACR Annual Meeting is the touchstone of the cancer research community, the place where scientists, clinicians, other health care professionals, survivors, patients, and advocates gather to share and discuss the latest breakthroughs. As a critical driver of breakthroughs in drug discovery, AACR Project GENIE® was prominently featured at the AACR Annual Meeting 2026, which took place April 17-22 in San Diego, CA.
The AACR Project GENIE® Data Model: A Foundation for Scalable, Structured Data Collection to Support Precision Oncology
The Methods Workshop held during the AACR Annual Meeting 2026 provided an overview of the rationale, structure, and implementation of the AACR Project GENIE Data Model, including its role in enabling longitudinal data collection and multi-modal integration. The session was chaired by Jeremy L. Warner and featured Jennifer Hoppe, Jake A. Vancampen, and Hauke Busch.
MS.MD01.01 – Advancing Cancer Research Through an International Cancer Registry: AACR Project GENIE® Use Cases
AACR Project GENIE® was presented as a global, clinico-genomic registry enabling real-world, multi-institutional data sharing to support precision oncology research. The mini-symposium session highlighted practical use cases demonstrating how integrated genomic and clinical data can drive biomarker discovery, retrospective analyses, and translational insights to advance cancer research.
PO.MD01.01 – AACR Project GENIE: Predictive Models and AI
The 14 poster sessions showcased how researchers are using the resource in increasingly innovative ways, including AI-enabled analyses, patient-facing tools, and approaches that extend the value of routine genomic testing.
PO.MD01.02 – AACR Project GENIE: Genomic Characterization
The AACR Project GENIE: Genomic Characterization poster session highlighted studies leveraging the GENIE clinico-genomic registry to characterize tumor genomic landscapes across cancer types and generate insights that inform biomarker discovery and precision oncology research.
