Strategies to design clinical studies to identify predictive biomarkers in cancer research
Perez-Gracia JL, Sanmamed MF, Bosch A, Patiño-Garcia A, Schalper KA, Segura V, Bellmunt J, Tabernero J, Sweeney CJ, Choueiri TK, Martín M, Fusco JP, Rodriguez-Ruiz ME, Calvo A, Prior C, Paz-Ares L, Pio R, Gonzalez-Billalabeitia E, Hernandez A, Páez D, Piulats JM, Gurpide A, Andueza M, de Velasco G, Pazo R, Grande E, Nicolas P, Abad-Santos F, Garcia-Donas J, Castellano D, Pajares MJ, Suarez C, Colomer R, Montuenga LM, Melero I. Strategies to design clinical studies to identify predictive biomarkers in cancer research. Cancer Treatment Reviews 2016, 53: 79-97. PMID: 28088073, DOI: 10.1016/j.ctrv.2016.12.005.Peer-Reviewed Original ResearchConceptsPredictive biomarkersSpecific patient populationsPromising candidate biomarkerCancer researchUnnecessary toxicityPatient populationMultidisciplinary panelClinical studiesReliable biomarkersAnti-cancer drugsCandidate biomarkersClinical designStudy designBiomarkersPromising targetBiomarker identification studiesKey biomarkersDrugsAnticancer drugsEfficient study designStandard practiceToxicityPatientsOncologyPivotal field
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