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- W2071304441 abstract "Personalized medicine aims to manage a patient’s treatment options based on the specific characteristics of the individual, including age, disease traits, environmen-tal factors and genetic profile. In addi-tion to standard pathological techniques, molecular profiling of a patient’s diseased tissue can help diagnose the malignancy, characterize the stage of the disease and potentially identify a specific therapy that is most likely to provide the patientwith clinical benefit. Oncology is an area in which personalized medicine provides great promise, particularly for targeted therapeutics. The molecular characteriza-tion of the individual’s tumor has been particularly useful for identifying patients most likely to respond to anti-EGFR thera-pies, such as the small molecules gefitinib and erlotinib, and the monoclonal anti-bodies cetuximab and panitumumab. Trastuzumumab, which targets another EGF receptor (EGFR) family member (HER2 and ERBB2), has also greatly benefited from the molecular stratifica-tion of patients. Indeed, several of these therapies may never have achieved regula-tory approval without the imple mentation of a companion diagnostic. For instance, overexpression of HER2 is a prerequisite for treatment of breast cancer patients with trastuzumab, while the presence of mutant" @default.
- W2071304441 created "2016-06-24" @default.
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- W2071304441 date "2009-03-01" @default.
- W2071304441 modified "2023-10-12" @default.
- W2071304441 title "Circulating tumor cells: utility for predicting response to anti-EGFR therapies?" @default.
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- W2071304441 doi "https://doi.org/10.1586/14737159.9.2.115" @default.
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