AACR Project GENIE® (Genomics Evidence Neoplasia Information Exchange) is a publicly accessible pancancer registry that aggregates, harmonizes, and links clinical-grade, genomic sequencing data with real-world clinical outcomes obtained during routine medical practice in 20 leading cancer centers across the globe. At the AACR Annual Meeting 2026, multiple sessions will highlight studies powered by this resource and its impact on advancing cancer research.
Since its launch in 2015, AACR Project GENIE has completed 19 data releases. The latest release includes more than 268,000 samples from nearly 250,000 patients, and as of February 2026, over 1,730 scientific journal articles have cited Project GENIE data. It was awarded the 2025 Amazon Web Services (AWS) Imagine Grant as a result of its capability to expand access to real-world oncology data globally. True to the AACR Annual Meeting 2026 theme—Precision, Partnership, Purpose—a record 42 abstracts this year draw on the consortium‑built AACR Project GENIE, underscoring its expanding role in accelerating cancer research.
“If you looked at the trajectory of studies presented at the Annual Meeting each year, you would see that the manner in which AACR Project GENIE has been used in studies has evolved over time—studies from the early years of the project were straightforward uses of the data, while more recent studies use it in innovative ways that leverage artificial intelligence (AI) tools and other datasets, in approaches that we did not anticipate at the time,” said Shawn M. Sweeney, PhD, senior director of the AACR Project GENIE Coordinating Center. The Annual Meeting will feature multiple studies using this registry, including a patient‑facing health chatbot, AI models trained on GENIE data, and tools that get more insight from routine gene tests.
The Methods Workshop session “The AACR Project GENIE® Data Model: A Foundation for Scalable, Structured Data Collection to Support the Precision Oncology Revolution” will be focused on the release of the public, open‑access GENIE Data Model (GDM)—a scalable framework that helps cancer centers collect and organize clinical and genomic information in the same way so it can be compared and combined more easily. Developed through international collaboration, the GDM is built to harmonize real‑world data while staying flexible enough to fit different institutional workflows.
“When you want to do precision oncology research, you have to gather data from multiple institutions, and you cannot get away with whatever local definitions one institution has created,” explained Jeremy L. Warner, MD, of Brown University, the chair of the Methods Workshop session on AACR Project GENIE. “If you want to have a common language—describing the extent of disease, whether a drug works, what outcomes matter—all these things that have to be standardized, that’s the backdrop of this session,” he continued, explaining why the model was created.
The Methods Workshop session will also cover how GDM is structured, and what it takes to put it into practice, including support for tracking patients over time and bringing together multiple data types. In addition, the session will feature key design principles; examples of how researchers, clinicians, and biopharma are using the model; and lessons from implementations across U.S. and European sites as well as how the GDM aligns with broader international efforts such as emerging European health data space initiatives. The session will showcase how GDM will lower the friction of structuring and sharing data so teams can run multisite studies faster, generate regulatory‑grade evidence, and power AI‑enabled analyses on harmonized datasets.
“With AI and a well-structured medical record, you can imagine going beyond just a drug name and actually capturing doses, dose intensity, and other factors that drive toxicity—that’s precisely what GDM is designed to facilitate,” said Warner.
For the most up-to-date information on session dates, times, and locations, check the Annual Meeting App and Online Itinerary Planner. Some sessions will be recorded and available on-demand via the virtual meeting platform through October 2026.
MW06: The AACR Project GENIE® Data Model: A Foundation for Scalable, Structured Data Collection to Support the Precision Oncology Revolution
Saturday, April 18, 8-9:30 a.m. PT
Room 31 – Upper Level – Convention Center
This session will provide an overview of the rationale, structure, and implementation of the GDM, including key design principles, cross-functional utility across research, clinical, and biopharma use cases, and practical lessons learned from implementation across U.S. and European institutions.
MS.MD01.01: Advancing Cancer Research Through an International Cancer Registry: AACR Project GENIE Use Cases
Monday, April 20, 2:30-4:30 p.m. PT
Room 14 – Mezzanine Level – Convention Center
This Minisymposium showcases diverse applications of the AACR Project GENIE international cancer registry across seven presentations spanning genomic biomarker discovery, metastatic mechanisms, and AI-integrated analyses. Researchers will discuss leveraging large-scale real-world genomic data to investigate topics ranging from rare RAS allele landscapes and KMT2C mutation as a treatment biomarker, to disparities in mutational profiles across race and sex in multiple myeloma.
PO.MD01.01: AACR Project GENIE: Predictive Models and AI
Sunday, April 19, 2-5 p.m. PT
Exhibit Floor – Section 1 – Convention Center
This poster session will bring together 14 presentations focused on applying predictive modeling, artificial intelligence, and multiomics approaches to cancer genomics using AACR Project GENIE and related datasets. Topics span a spectrum of applications—from LLM-powered clinical chatbots and spatial tumor microenvironment analysis to treatment outcome prediction and variant interpretation tools—reflecting the growing role of AI in advancing precision oncology.
PO.MD01.02: AACR Project GENIE: Genomic Characterization
Tuesday, April 21, 9 a.m.-12 p.m. PT
Exhibit Floor – Section 1 – Convention Center
This poster session features 17 presentations leveraging AACR Project GENIE and related genomic registries to characterize the mutational and clinical landscapes across multiple cancer types, including colorectal and breast cancer, pediatric solid tumors, glioblastoma, and hematologic malignancies.
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