Abstract
Management of cancer has been unsatisfactory in the past but an understanding of the molecular, genetic and genomic aspects of cancer started to accelerate progress in cancer therapy (Jain 2005). Several comprehensive studies have demonstrated the utility of gene expression profiles for the classification of tumors into clinically relevant subtypes and the prediction of clinical outcomes. The role of oncoproteomics in the personalized management of cancer was first emphasized in 2004 (Jain 2004). Considerable progress has been made in this field during the past few years. Other factors that drive the development of personalized therapy for cancer are listed in Table 10.1. The preceding chapter described how cancer cell therapy and cancer vaccines can be personalized. Information presented in this chapter describes personalization of other cancer therapies.
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Jain, K.K. (2009). Personalized Therapy for Cancer. In: Textbook of Personalized Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0769-1_10
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