Abstract
Cancer is a growing problem worldwide. The cause of death in cancer patients is often due to treatment-resistant metastatic disease. Many molecularly targeted anticancer drugs have been developed against 'oncogenic driver' pathways. However, these treatments are usually only effective in properly selected patients. Resistance to molecularly targeted drugs through selective pressure on acquired mutations or molecular rewiring can hinder their effectiveness. This review summarizes how molecular imaging techniques can potentially facilitate the optimal implementation of targeted agents. Using the human epidermal growth factor receptor (HER) family as a model in (pre)clinical studies, we illustrate how molecular imaging may be employed to characterize whole body target expression as well as monitor drug effectiveness and the emergence of tumor resistance. We further discuss how an integrative omics discovery platform could guide the selection of 'effect sensors' - new molecular imaging targets - which are dynamic markers that indicate treatment effectiveness or resistance.
Original language | English |
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Pages (from-to) | 2111-2133 |
Number of pages | 23 |
Journal | Theranostics |
Volume | 7 |
Issue number | 7 |
DOIs | |
Publication status | Published - 27-May-2017 |
Keywords
- Molecular imaging
- cancer therapy
- personalized medicine
- EGFR
- HER2
- HER3
- drug resistance
- POSITRON-EMISSION-TOMOGRAPHY
- NONSMALL CELL LUNG
- METASTATIC BREAST-CANCER
- TYROSINE KINASE INHIBITORS
- XENOGRAFT MOUSE MODEL
- NECK-CANCER
- TUMOR XENOGRAFTS
- HSP90 INHIBITOR
- TRASTUZUMAB RESISTANCE
- MONOCLONAL-ANTIBODY