Investigating the optimal size of anticancer nanomedicine

• DOI: 10.1073/pnas.1411499111
• Publication Date: 2014-10-15T05:09:33Z
• Authors: Li Tang; Xujuan Yang; Qian Yin; Kaimin Cai; Hua Wang; Isthier Chaudhury; Catherine Yao; Qin Zhou; Mincheol Kwon; James A. Hartman; Iwona T. Dobrucki; Lawrence W. Dobrucki; Luke B. Borst; Stéphane Lezmi; William G. Helferich; Andrew L. Ferguson; Timothy M. Fan; Jianjun Cheng
• Keywords: Internalization; Dispersity

Nanomedicines (NMs) offer new solutions for cancer diagnosis and therapy. However, extension of progression-free interval overall survival time achieved by Food Drug Administration-approved NMs remain modest. To develop next generation to achieve superior anticancer activities, it is crucial investigate understand the correlation between physicochemical properties (particle size in particular) their interactions with biological systems establish criteria NM optimization. Here, we systematically evaluated size-dependent profiles three monodisperse drug-silica nanoconjugates (NCs; 20, 50, 200 nm) through both experiments mathematical modeling aimed identify optimal most effective drug delivery. Among NCs investigated, 50-nm NC shows highest tumor tissue retention integrated over time, which collective outcome deep penetration efficient cell internalization as well slow clearance, thus, efficacy against primary metastatic tumors vivo.