Data from AACR Project GENIE: Powering Precision Medicine through an International Consortium
Authors: André Fabrice , Arnedos Monica , Baras Alexander S. , Baselga José , Bedard Philippe L. , Berger Michael F. , Bierkens Mariska , Calvo Fabien , Cerami Ethan , Chakravarty Debyani , Dang Kristen K. , Davidson Nancy E. , Del Vecchio Fitz Catherine , Dogan Semih , DuBois Raymond N. , Ducar Matthew D. , Futreal P. Andrew , Gao Jianjiong , Garcia Francisco , Gardos Stu , Gocke Christopher D. , Gross Benjamin E. , Guinney Justin , Heins Zachary J. , Hintzen Stephanie , Horlings Hugo , Hudeček Jan , Hyman David M. , Kamel-Reid Suzanne , Kandoth Cyriac , Kinyua Walter , Kumari Priti , Kundra Ritika , Ladanyi Marc , Lefebvre Céline , LeNoue-Newton Michele L. , Lepisto Eva M. , Levy Mia A. , Lindeman Neal I. , Lindsay James , Liu David , Lu Zhibin , MacConaill Laura E. , Maurer Ian , Maxwell David S. , Meijer Gerrit A. , Meric-Bernstam Funda , Micheel Christine M. , Miller Clinton , Mills Gordon , Moore Nathanael D. , Nederlof Petra M. , Omberg Larsson , Orechia John A. , Park Ben Ho , Pugh Trevor J. , Reardon Brendan , Rollins Barrett J. , Routbort Mark J. , Sawyers Charles L. , Schrag Deborah , Schultz Nikolaus , Shaw Kenna R Mills , Shivdasani Priyanka , Siu Lillian L. , Solit David B. , Sonke Gabe S. , Soria Jean Charles , Sripakdeevong Parin , Stickle Natalie H. , Stricker Thomas P. , Sweeney Shawn M. , Taylor Barry S. , ten Hoeve Jelle J. , Thomas Stacy B. , Van Allen Eliezer M. , Van 'T Veer Laura J. , van de Velde Tony , van Tinteren Harm , Velculescu Victor E. , Virtanen Carl , Voest Emile E. , Wang Lucy L. , Wathoo Chetna , Watt Stuart , Yu Celeste , Yu Thomas V. , Yu Emily , Zehir Ahmet , Zhang Hongxin 
Published: March 2024

<div>Abstract<p>The AACR Project GENIE is an international data-sharing consortium focused on generating an evidence base for precision cancer medicine by integrating clinical-grade cancer genomic data with clinical outcome data for tens of thousands of cancer patients treated at multiple institutions worldwide. In conjunction with the first public data release from approximately 19,000 samples, we describe the goals, structure, and data standards of the consortium and report conclusions from high-level analysis of the initial phase of genomic data. We also provide examples of the clinical utility of GENIE data, such as an estimate of clinical actionability across multiple cancer types (>30%) and prediction of accrual rates to the NCI-MATCH trial that accurately reflect recently reported actual match rates. The GENIE database is expected to grow to >100,000 samples within 5 years and should serve as a powerful tool for precision cancer medicine.</p><p><b>Significance:</b> The AACR Project GENIE aims to catalyze sharing of integrated genomic and clinical datasets across multiple institutions worldwide, and thereby enable precision cancer medicine research, including the identification of novel therapeutic targets, design of biomarker-driven clinical trials, and identification of genomic determinants of response to therapy. <i>Cancer Discov; 7(8); 818–31. ©2017 AACR.</i></p><p><i>See related commentary by Litchfield et al., p. 796</i>.</p><p><i>This article is highlighted in the In This Issue feature, p. 783</i></p></div>