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The development of precision medicine approaches in oncology has revolutionized clinical practice. Although definitions of precision medicine may vary, it is reasonably defined as the use of biomarkers to select a treatment approach for a patient to optimize the chance of response [ 1 , 2 , 3 ]. Key examples that define current standard practice include the use of genomics to guide therapy, such as FLT3 inhibitors in Acute Myeloid Leukemia (AML) with FLT3-ITD, and the use of the Oncotype Dx assay to assess the relative risk and benefit of chemotherapy in invasive Breast Cancer [ 4 , 5 ]. The number of such precision approaches in oncology continues to rapidly expand [ 1 ].
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Rampal et al. (2026) studied this question.
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