Nanotheranostics 2017; 1(3):296-312. doi:10.7150/ntno.20564
Prediction of Anti-cancer Nanotherapy Efficacy by Imaging
1. Center for Systems Biology, Massachusetts General Hospital, USA;
2. Department of Radiology, Massachusetts General Hospital, USA;
3. Department of Systems Biology, Harvard Medical School, USA.
Miller MA, Arlauckas S, Weissleder R. Prediction of Anti-cancer Nanotherapy Efficacy by Imaging. Nanotheranostics 2017; 1(3):296-312. doi:10.7150/ntno.20564. Available from http://www.ntno.org/v01p0296.htm
Anticancer nanotherapeutics have shown mixed results in clinical trials, raising the questions of whether imaging should be used to i) identify patients with a higher likelihood of nanoparticle accumulation, ii) assess nanotherapeutic efficacy before traditional measures show response, and iii) guide adjuvant treatments to enhance therapeutic nanoparticle (TNP) delivery. Here we review the use of a clinically approved MRI nanoparticle (ferumoxytol, FMX) to predict TNP delivery and efficacy. It is becoming increasingly apparent that nanoparticles used for imaging, despite clearly distinct physicochemical properties, often co-localize with TNP in tumors. This evidence offers the possibility of using FMX as a generic “companion diagnostic” nanoparticle for multiple TNP formulations, thus potentially allowing many of the complex regulatory and cost challenges of other approaches to be avoided.
Keywords: dextran-coated iron oxide nanoparticle, magnetic resonance imaging, enhanced permeability and retention effect, nanomedicine, personalized medicine, tumor associated macrophage.