Precision medicine requires an end-to-end learning health care system, wherein the treatment decisions for patients are powered by the prior experiences of every similar patient who has preceded them. Oncology is currently leading the way in precision medicine because the factors that fuel cancer initiation, progression, and recurrence—namely, the genomic and other molecular characteristics of patients and their tumors—are routinely collected at scale. A major challenge to this approach, however, is that no single institution is able to sequence and treat sufficient numbers of patients to improve clinical decision-making independently. The AACR Project GENIE® (Genomics Evidence Neoplasia Information Exchange) registry was established in 2015 to address this challenge—accelerating the pace of drug discovery, improving clinical trial design, and driving progress for cancer patients.
AACR Project GENIE® is an open-source, international, pancancer registry of real-world data assembled through data sharing between 19 leading international cancer centers. The registry leverages ongoing clinical sequencing efforts at participating cancer centers by pooling their data to create a collective evidence base. The consortium and its activities are driven by openness, transparency, and inclusion to ensure that the project output remains accessible globally and ultimately benefits patients.
In its eighth year, AACR Project GENIE® took several bold steps toward delivering on the promise of precision medicine:
The AACR Project GENIE® Biopharma Collective (BPC) is a five-year collaboration with a coalition of ten biopharmaceutical companies launched in 2019 with the goal of obtaining clinical and genomic data from an estimated 50,000 de-identified patients treated at GENIE® participating institutions.
In September, the BPC team published a comprehensive analysis of the BPC public dataset of more than 1,800 non-small cell lung cancer patients in the AACR journal Clinical Cancer Research. The survey revealed that 44% of all patients in the cohort had an actionable mutation within their tumors. Analysis of the genomic data also revealed the prevalence and type of genomic alterations by smoking status. Further, real-world overall survival (rwOS) and progression-free survival (rwPFS) were determined for the cohort, as well as for various treatment regimens. The detailed clinico-genomic data included in the AACR Project GENIE® dataset also enabled the team to analyze genomic drivers of sites of metastasis as well as emergence of treatment-induced resistance mutations.
15
Public Data Releases
18
Contributing Institutions
198,041
Sequenced Samples*
172,005
Patients*
6
Countries Represented
7,209
Pediatric Patients*
≤ 18 @ sequencing
13,841
Young Adult Patients*
≥ 18 ≤ 39 @ sequencing
20,088
Non-white Patients*
111
Major Cancer Types*
787
Unique Cancer Subtypes*
1,150+
Citations
1/03/24
16,500+
Registered Users
1/03/24
*15.0 public release. ©American Association for Cancer Research Project GENIE®