作者
AACR Project Genie Consortium, AACR Project GENIE Consortium, Fabrice André, Monica Arnedos, Alexander S Baras, José Baselga, Philippe L Bedard, Michael F Berger, Mariska Bierkens, Fabien Calvo, Ethan Cerami, Debyani Chakravarty, Kristen K Dang, Nancy E Davidson, Catherine Del Vecchio Fitz, Semih Dogan, Raymond N DuBois, Matthew D Ducar, P Andrew Futreal, Jianjiong Gao, Francisco Garcia, Stu Gardos, Christopher D Gocke, Benjamin E Gross, Justin Guinney, Zachary J Heins, Stephanie Hintzen, Hugo Horlings, Jan Hudeček, David M Hyman, Suzanne Kamel-Reid, Cyriac Kandoth, Walter Kinyua, Priti Kumari, Ritika Kundra, Marc Ladanyi, Céline Lefebvre, Michele L LeNoue-Newton, Eva M Lepisto, Mia A Levy, Neal I Lindeman, James Lindsay, David Liu, Zhibin Lu, Laura E MacConaill, Ian Maurer, David S Maxwell, Gerrit A Meijer, Funda Meric-Bernstam, Christine M Micheel, Clinton Miller, Gordon Mills, Nathanael D Moore, Petra M Nederlof, Larsson Omberg, John A Orechia, Ben Ho Park, Trevor J Pugh, Brendan Reardon, Barrett J Rollins, Mark J Routbort, Charles L Sawyers, Deborah Schrag, Nikolaus Schultz, Kenna R Mills Shaw, Priyanka Shivdasani, Lillian L Siu, David B Solit, Gabe S Sonke, Jean Charles Soria, Parin Sripakdeevong, Natalie H Stickle, Thomas P Stricker, Shawn M Sweeney, Barry S Taylor, Jelle J ten Hoeve, Stacy B Thomas, Eliezer M Van Allen, Laura J Van'T Veer, Tony van de Velde, Harm van Tinteren, Victor E Velculescu, Carl Virtanen, Emile E Voest, Lucy L Wang, Chetna Wathoo, Stuart Watt, Celeste Yu, Thomas V Yu, Emily Yu, Ahmet Zehir, Hongxin Zhang
发表日期
2017/8/1
期刊
Cancer discovery
卷号
7
期号
8
页码范围
818-831
出版商
American Association for Cancer Research
简介
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 …
学术搜索中的文章
AACR Project Genie Consortium… - Cancer discovery, 2017