Strategies to design clinical studies to identify predictive biomarkers in cancer research

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• 作者：Jose Luis Perez-Gracia^a ; ^b ; ^{jlgracia@unav.es} ; Miguel F. Sanmamed^c ; Ana Bosch^d ; Ana Patiñ ; o-Garcia^e ; ^b ; Kurt A. Schalper^f ; Victor Segura^g ; Joaquim Bellmunt^h ; Josep Taberneroⁱ ; Christopher J. Sweeney^h ; Toni K. Choueiri^h ; Miguel Mart&iacute ; n^j ; Juan Pablo Fusco^a ; Maria Esperanza Rodriguez-Ruiz^a ; ^b ; ^k ; Alfonso Calvo^b ; ^l ; Celia Prior^m ; Luis Paz-Aresⁿ ; Ruben Pio^b ; ^o ; Enrique Gonzalez-Billalabeitia^p ; Alvaro Gonzalez Hernandez^q ; David Pá ; ez^r ; Jose Mar&iacute ; a Piulats^s ; Alfonso Gurpide^a ; ^b ; Mapi Andueza^a ; Guillermo de Velasco^h ; Roberto Pazo^t ; Enrique Grande^u ; Pilar Nicolas^v ; Francisco Abad-Santos^w ; Jesus Garcia-Donas^x ; Daniel Castellanoⁿ ; Mar&iacute ; a J. Pajares^b ; ^l ; ^o ; Cristina Suarezⁱ ; Ramon Colomer^y ; Luis M. Montuenga^b ; ^l ; ^o ; Ignacio Melero^a ; ^b ; ^k
• 关键词：Biomarkers ; Clinical trial design ; Extreme phenotypes ; Rearrangement ; Mutation
• 刊名：Cancer Treatment Reviews
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：53
• 期：Complete
• 页码：79-97
• 全文大小：1601 K
• 卷排序：53

文摘

Predictive biomarkers are essential to improve the efficacy of anticancer drugs. Biomarker identification requires well-designed studies that follow an adequate methodology. This manuscript provides a methodological framework to design biomarker identificaton studies based on previous successful experiences.