Abstract

Individualized therapy for patients with cancer, often termed personalized or precision medicine, has become an increasingly important topic with the recognition that tumors once classified solely by their tissue of origin consist of multiple genetically distinct subgroups. This ability to categorize tumors into small subgroups defined by molecular makeup can have an important impact on treatment approach because some tumors are driven by a molecular abnormality that can be targeted by specific drugs. Targeted therapies are available for tumors that express the estrogen receptor (ER) (tamoxifen, letrozole), HER2 (trastuzumab, pertuzumab), EGFR (gefitinib), the BCR-ABL fusion protein kinase (imatinib), the BRAF V600E protein kinase (vemurafenib), PD-1 ligands (pembrolizumab), and VEGF (bevacizumab), to name a few. However, questions remain for how best to use these therapies. How can patients most likely to benefit from targeted therapy be easily and reliably identified? How should response be measured (especially because many targetedtherapiesarecytostatic)?Historically,thesequestions have been addressed by assaying tissue or serum biomarkers. However, molecular imaging offers several advantages as a cancer biomarker and is complementary to tissue sampling. Because imaging is noninvasive and nondestructive, it is capable of serial measurements of the same tissue over time, and it can be used to interrogate lesions that are difficult or impossible to safely biopsy. Imaging can also capture heterogeneity within individual lesions and across all lesions in a patient. In addition, imaging can reflect the local in vivo microenvironment of the tumor in an unperturbed state as well as in response to therapy, and in ways not adequately represented by in vitro assays.

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