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Genomic Biomarkers for Pharmaceutical Development is written by Nicholas C. Dracopoli and published by Elsevier Inc. Chapters. It's available with International Standard Book Number or ISBN identification 0128063513 (ISBN 10) and 9780128063514 (ISBN 13).
The goal of personalized healthcare in the treatment of cancer is to reduce the attrition of novel oncology drugs and improve patient outcomes. The discovery and application of novel biomarkers is essential for the successful implementation of personalized healthcare for cancer patients. This chapter focuses on the types of biomarkers that can be utilized clinically to guide treatment decisions in multiple cancer indications, including pharmacodynamic, predictive, prognostic, resistance, and surrogate biomarkers. Furthermore, multiple distinct examples highlight how the successful implementation of these biomarkers into clinical practice has benefited particular subsets of patients. Although these successful examples represent important first steps in using simple biomarkers to predict patient response, significant challenges still exist in prospectively identifying or co-developing biomarkers as companion diagnostics. The roles next generation sequencing and innovative biomarker-driven clinical trial design may play in overcoming these challenges are discussed.