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Using Genomic Biomarkers to Predict Patient Prognosis and Treatment Response in Gastric Cancer

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Abstract

Research over the past decade has shown that genomic biomarkers can predict cancer susceptibility in otherwise healthy patients, and when applied to tumors can stratify cancer patients into subgroups exhibiting distinct prognostic and treatment response outcomes. Genomic biomarkers in the germline DNAs of cancer patients can also establish pharmacogenetic profiles to individualize drug selection and drug dosing. Much of this molecular knowledge has been facilitated by the unprecedented wave of new genomic technologies that has greatly enhanced the analysis of cancer genomes, including DNA microarrays, next-generation sequencing, and large-scale functional genetic screens. Integration of these genomic biomarkers with standard clinical laboratory tests is the logical next step in cancer care and treatment, where individualized genome analysis will allow the tailoring of treatments to provide maximum benefit to the individual. In this chapter, we describe the current state of knowledge regarding genomic biomarkers in gastric cancer (GC).

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Das, K., Tan, P. (2013). Using Genomic Biomarkers to Predict Patient Prognosis and Treatment Response in Gastric Cancer. In: Lee, N., Cheng, C., Luk, J. (eds) New Advances on Disease Biomarkers and Molecular Targets in Biomedicine. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-456-2_7

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