OncoKB
OncoKB is a precision oncology knowledge base developed at Memorial Sloan Kettering Cancer Center that contains biological and clinical information about genomic alterations in cancer. It provides alteration- and tumor type-specific therapeutic implications classified using the OncoKB Levels of Evidence system, which assigns clinical actionability to individual mutational events. The platform integrates data from 945 genes, 7967 alterations, 143 cancer types, and 156 drugs with FDA-recognized human genetic variant database status.
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Phillips", "Ritika Kundra", "Hongxin Zhang", "Jiaojiao Wang", "Julia E. Rudolph", "Ramdan Yaeger", "Tara Soumerai", "Ahmet H. Nissan", "Matthew T. Chang", "Sarah Adalsteinsson", "Barry S. Taylor", "Gregory J. Riely", "Marc Ladanyi", "David B. Solit", "Nikolaus Schultz"], "doi": "10.1200/PO.17.00011", "id": "doi:10.1200/PO.17.00011", "title": "OncoKB: A Precision Oncology Knowledge Base", "year": "2017"}, {"authors": ["Samuel P. Suehnholz", "Ritika Kundra", "Hongxin Zhang", "Jianjiong Gao", "Angelica M. Camargo", "Isabell Schulze", "Matthew T. Chang", "Sarah Adalsteinsson", "Brie Kezlarian", "Kendra A. Famiglietti", "Tara Soumerai", "Barry S. Taylor", "Gregory J. Riely", "Marc Ladanyi", "David B. Solit", "Nikolaus Schultz", "Debyani Chakravarty"], "doi": "10.1158/2159-8290.CD-23-0467", "id": "doi:10.1158/2159-8290.CD-23-0467", "title": "Quantifying the Expanding Landscape of Clinical Actionability for Patients with Cancer", "year": "2023"}], "repository": "https://github.com/oncokb", "taxon": ["NCBITaxon:9606"]}