Abstract
The adverse effects of anticancer drugs, the acquired drug resistance, and tumor heterogeneity among cancer patients limit the effective clinical management of advanced malignancies. To overcome these challenges, predictive biomarkers emerged as an indispensable tool to aid medical oncologists in identifying cancer patients who may respond to several anticancer therapies, hence increasing the risk-to-benefit ratio. This chapter will offer a brief overview of predictive anticancer biomarkers, their characteristics, and brief details about the tools and techniques in practice for their identification. This chapter will also discuss the validated and also commonly researched predictive anticancer biomarkers for anticancer drugs against different cancer types. Finally, the challenges in identification and commercialization of the predictive biomarkers for anticancer drugs will be discussed.
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Rana, N.F., Tanweer, T. (2022). Predictive Biomarkers for Anticancer Drugs. In: Shehzad, A. (eds) Cancer Biomarkers in Diagnosis and Therapeutics. Springer, Singapore. https://doi.org/10.1007/978-981-16-5759-7_6
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