TY - JOUR
T1 - AACR project genie
T2 - Powering precision medicine through an international consortium
AU - The AACR Project GENIE Consortium
AU - Sweeney, S. M.
AU - Cerami, E.
AU - Baras, A.
AU - Pugh, T. J.
AU - Schultz, N.
AU - Stricker, T.
AU - Lindsay, J.
AU - Del Vecchio Fitz, C.
AU - Kumari, P.
AU - Micheel, C.
AU - Shaw, K.
AU - Gao, J.
AU - Moore, N.
AU - Stricker, T.
AU - Kandoth, C.
AU - Reardon, B.
AU - Lepisto, E.
AU - Gardos, S.
AU - Dang, K.
AU - Guinney, J.
AU - Omberg, L.
AU - Yu, T.
AU - Gross, B.
AU - Heins, Z.
AU - Hyman, D.
AU - Rollins, B.
AU - Sawyers, C.
AU - Solit, D.
AU - Schrag, D.
AU - Velculescu, V.
AU - Andre, F.
AU - Bedard, P.
AU - Levy, M.
AU - Meijer, G.
AU - Rollins, B.
AU - Shaw, K.
N1 - Publisher Copyright:
© 2017 American Association for Cancer Research.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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. SIGNIFICANCE: 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.
AB - 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. SIGNIFICANCE: 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.
UR - http://www.scopus.com/inward/record.url?scp=85026862883&partnerID=8YFLogxK
U2 - 10.1158/2159-8290.CD-17-0151
DO - 10.1158/2159-8290.CD-17-0151
M3 - Article
C2 - 28572459
AN - SCOPUS:85026862883
SN - 2159-8274
VL - 7
SP - 818
EP - 831
JO - Cancer Discovery
JF - Cancer Discovery
IS - 8
ER -