Trials accruing based on genetic biomarkers are powerful ways to test efficacy of targeted drugs, but are often complicated by the rarity of the biomarker-positive population. “Umbrella” trials circumvent this issue by testing multiple hypotheses to maximize accrual. However, bigger trials have higher chances of conflicting treatment allocations due to coexistence of multiple actionable alterations; allocation strategies greatly affect sample size and should be carefully planned based on relative mutation frequencies, leveraging information from large sequencing projects.

6Precision Trial Designer: A computational tool to assist in the design of genomics-driven trials in oncology / Mazzarella, L; Melloni, G; Guida, A; Curigliano, G; Botteri, E; Esposito, A; Kamal, M; Le Tourneau, C; Magi, A; Riva, L; Pelicci, P. - In: ANNALS OF ONCOLOGY. - ISSN 0923-7534. - ELETTRONICO. - 28:(2017), pp. 0-0. [10.1093/annonc/mdx508.003]

6Precision Trial Designer: A computational tool to assist in the design of genomics-driven trials in oncology

MELLONI, GIACOMO;Magi, A;
2017

Abstract

Trials accruing based on genetic biomarkers are powerful ways to test efficacy of targeted drugs, but are often complicated by the rarity of the biomarker-positive population. “Umbrella” trials circumvent this issue by testing multiple hypotheses to maximize accrual. However, bigger trials have higher chances of conflicting treatment allocations due to coexistence of multiple actionable alterations; allocation strategies greatly affect sample size and should be carefully planned based on relative mutation frequencies, leveraging information from large sequencing projects.
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Mazzarella, L; Melloni, G; Guida, A; Curigliano, G; Botteri, E; Esposito, A; Kamal, M; Le Tourneau, C; Magi, A; Riva, L; Pelicci, P
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/1179835
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