A computational method for prioritizing targeted therapies in precision oncology: performance analysis in the SHIVA01 trial

Abstract Precision oncology is currently based on pairing molecularly targeted agents (MTA) to predefined single driver genes or biomarkers. Each tumor harbors a combination of a large number of potential genetic alterations of multiple driver genes in a complex system that limits the potential of t...

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Detalles Bibliográficos
Autores principales:	Istvan Petak, Maud Kamal, Anna Dirner, Ivan Bieche, Robert Doczi, Odette Mariani, Peter Filotas, Anne Salomon, Barbara Vodicska, Vincent Servois, Edit Varkondi, David Gentien, Dora Tihanyi, Patricia Tresca, Dora Lakatos, Nicolas Servant, Julia Deri, Pauline du Rusquec, Csilla Hegedus, Diana Bello Roufai, Richard Schwab, Celia Dupain, Istvan T. Valyi-Nagy, Christophe Le Tourneau
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/25368c6568c249e3961734d462c71641
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A computational method for prioritizing targeted therapies in precision oncology: performance analysis in the SHIVA01 trial

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