Abstract
Multidrug resistance (MDR) describes the resistance of tumor cells to chemotherapy and has been ascribed to the overexpression of drug efflux pumps. Molecular imaging of drug efflux pumps is helpful to identify the patients who may be resistant to the chemotherapy and thus will avoid the unnecessary treatment and increase the therapeutic effectiveness. Imaging probes targeting drug efflux pumps can non-invasively evaluate the Pgp function and play an important role in identification of MDR, prediction of response, and monitoring MDR modulation. On the other hand, new anticancer agents based on molecular targets such as epidermal growth factor receptor (EGFR) and angiogenic factor receptor may potentially be combined with chemotherapeutic drugs to overcome the MDR. Imaging of molecular targets visualize treatment response of patients at molecular level vividly and help to select right patients for certain targeted anticancer therapy. Among all the imaging modalities, nuclear imaging including positron emission tomography (PET) and single photon emission computed tomography (SPECT) imaging has the greatest promise for rapid translation to the clinic and can realize quantitative visualization of biochemical processes in vivo. In this review, we will summarize the nuclear imaging probes utilized for predicting and evaluating the early anticancer therapy response. 99mTc labeled agents and PET based radiopharmaceuticals like 18F-Paclitaxel, 11C-Verapamil for drug efflux pumps imaging will be discussed here. Moreover, molecular imaging probes used for targeted therapy response evaluation like 18F-Tamoxifen, 89Zr-Trastuzumab will also be introduced in this review.
Keywords: Multidrug resistance, molecular imaging, drug efflux pump, therapy response, SPECT, PET.
Current Medicinal Chemistry
Title:Prediction and Early Evaluation of Anticancer Therapy Response: From Imaging of Drug Efflux Pumps to Targeted Therapy Response
Volume: 23 Issue: 41
Author(s): Qingqing Meng, Zheng Li and Shaoshun Li
Affiliation:
Keywords: Multidrug resistance, molecular imaging, drug efflux pump, therapy response, SPECT, PET.
Abstract: Multidrug resistance (MDR) describes the resistance of tumor cells to chemotherapy and has been ascribed to the overexpression of drug efflux pumps. Molecular imaging of drug efflux pumps is helpful to identify the patients who may be resistant to the chemotherapy and thus will avoid the unnecessary treatment and increase the therapeutic effectiveness. Imaging probes targeting drug efflux pumps can non-invasively evaluate the Pgp function and play an important role in identification of MDR, prediction of response, and monitoring MDR modulation. On the other hand, new anticancer agents based on molecular targets such as epidermal growth factor receptor (EGFR) and angiogenic factor receptor may potentially be combined with chemotherapeutic drugs to overcome the MDR. Imaging of molecular targets visualize treatment response of patients at molecular level vividly and help to select right patients for certain targeted anticancer therapy. Among all the imaging modalities, nuclear imaging including positron emission tomography (PET) and single photon emission computed tomography (SPECT) imaging has the greatest promise for rapid translation to the clinic and can realize quantitative visualization of biochemical processes in vivo. In this review, we will summarize the nuclear imaging probes utilized for predicting and evaluating the early anticancer therapy response. 99mTc labeled agents and PET based radiopharmaceuticals like 18F-Paclitaxel, 11C-Verapamil for drug efflux pumps imaging will be discussed here. Moreover, molecular imaging probes used for targeted therapy response evaluation like 18F-Tamoxifen, 89Zr-Trastuzumab will also be introduced in this review.
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Cite this article as:
Meng Qingqing, Li Zheng and Li Shaoshun, Prediction and Early Evaluation of Anticancer Therapy Response: From Imaging of Drug Efflux Pumps to Targeted Therapy Response, Current Medicinal Chemistry 2016; 23 (41) . https://dx.doi.org/10.2174/0929867323666161101100417
DOI https://dx.doi.org/10.2174/0929867323666161101100417 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |
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