AACR Project GENIE®

AACR Project GENIE® is an open-access, international, pan-cancer registry of real-world clinico-genomic data assembled through data sharing among 22 leading international cancer centers. By pooling the clinical sequencing efforts of these centers, GENIE provides a valuable evidence base for researchers worldwide. The consortium and its activities are driven by openness, transparency, and inclusion to ensure that the project output remains globally accessible and benefits all patients.

In 2024, AACR Project GENIE® continued to deliver on the promise of precision medicine in the following ways:

• Public Data Release. In July, AACR Project GENIE® shared its 16th public data release, which increased the size of the registry to nearly 185,000 patients. With this release, genomic and baseline clinical data from more than 214,000 tumors are accessible through the efforts of the project’s strategic and technical partners, Sage Bionetworks and cBioPortal.
• Community Engagement. The number of registered users accessing AACR Project GENIE® data increased to nearly 19,000, and the registry has been cited in more than 1,400 publications through 2024. The AACR Annual Meeting 2024 showcased the latest applications of the dataset, as users presented 20 proffered papers based on GENIE® data. The most impactful papers were again featured in a minisymposium titled “Advancing Cancer Research Through an International Cancer Registry: AACR Project GENIE® Use Cases.”

The dataset was also used to conduct several internal studies that were published in 2024.

Read a summary of AACR Project GENIE® presentations from the AACR Annual Meeting 2024 on the AACR Blog, Cancer Research Catalyst



Treatment Patterns and Clinical Outcomes among Patients with Metastatic Prostate Cancer Harboring Homologous Recombination Repair Mutations
Read this article reaturing GENIE® data in Clinical Genitourinary Cancer



Genomic Characterization and Clinical Outcomes of Patients with Peritoneal Metastases from the AACR GENIE Biopharma Collaborative Colorectal Cancer Registry
Read this article featuring GENIE® data in the AACR Journal Cancer Research Communications

• Biopharma Collaborative (BPC). The AACR Project GENIE® Biopharma Collaborative (BPC) is a collaboration with a coalition of ten biopharmaceutical companies focused on obtaining clinical and genomic data from an estimated 50,000 de-identified patients treated at GENIE® participating institutions.

Phase 1 of the seven-year collaboration—which launched in October 2019—was completed in 2021, and Phase 2 is expected to be completed in 2026. The BPC has marked several milestones as it nears completion, including the following:

• The release of two public datasets, one featuring 1,846 non-small cell lung cancer patients and one featuring 1,485 colorectal cancer patients.
• The scheduled release of four additional datasets in early 2025, featuring an estimated 1,100 early-onset breast cancer patients, 1,100 pancreatic cancer patients, 1,100 prostate cancer patients, and 700 bladder cancer patients.
• A study was published in JCO Precision Oncology examining the factors that influence the time between a cancer diagnosis and an initial next-generation sequencing test. This article was the first publication to use all of the data compiled during Phase 1 of the BPC.
• The inherently complex structure of the BPC datasets necessitates a robust data integration process to facilitate the development of analytic models. The BPC Statistical Core at Memorial Sloan Kettering Cancer Center addressed this need by developing a user-friendly data processing pipeline to streamline the process for developing analytic cohorts that are ready for clinico-genomic analyses.

Biomarker Inference and the Timing of Next-Generation Sequencing in a Multi-Institutional, Cross-Cancer Clinicogenomic Data Set
Read the abstract for this article featuring GENIE® BPC data in JCO Precision Oncology



A Data Processing Pipeline for the AACR Project GENIE® Biopharma Collaborative Data with the {genieBPC} R Package
Read the documentation and access the R package