The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
Bioinspired Engineering and Biomechanics Center, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
Proc Natl Acad Sci U S A. 2023 Jan 3;120(1):e2209260120. doi: 10.1073/pnas.2209260120. Epub 2022 Dec 27.
Nanoparticles (NPs) are confronted with limited and disappointing delivery efficiency in tumors clinically. The tumor extracellular matrix (ECM), whose physical traits have recently been recognized as new hallmarks of cancer, forms a main steric obstacle for NP diffusion, yet the role of tumor ECM physical traits in NP diffusion remains largely unexplored. Here, we characterized the physical properties of clinical gastric tumor samples and observed limited distribution of NPs in decellularized tumor tissues. We also performed molecular dynamics simulations and in vitro hydrogel experiments through single-particle tracking to investigate the diffusion mechanism of NPs and understand the influence of tumor ECM physical properties on NP diffusion both individually and collectively. Furthermore, we developed an estimation matrix model with evaluation scores of NP diffusion efficiency through comprehensive analyses of the data. Thus, beyond finding that loose and soft ECM with aligned structure contribute to efficient diffusion, we now have a systemic model to predict NP diffusion efficiency based on ECM physical traits and provide critical guidance for personalized tumor diagnosis and treatment.
纳米粒子(NPs)在临床上遇到了有限且令人失望的递送效率。肿瘤细胞外基质(ECM)的物理特性最近被认为是癌症的新标志之一,它构成了 NP 扩散的主要空间障碍,但肿瘤 ECM 物理特性在 NP 扩散中的作用在很大程度上仍未得到探索。在这里,我们对临床胃肿瘤样本的物理特性进行了表征,并观察到 NPs 在脱细胞化肿瘤组织中的分布有限。我们还通过单粒子跟踪进行了分子动力学模拟和体外水凝胶实验,以研究 NPs 的扩散机制,并分别和集体地了解肿瘤 ECM 物理特性对 NP 扩散的影响。此外,我们通过综合数据分析开发了一个具有 NP 扩散效率评估得分的估计矩阵模型。因此,除了发现具有定向结构的疏松柔软 ECM 有助于高效扩散之外,我们现在还拥有了一个基于 ECM 物理特性预测 NP 扩散效率的系统模型,并为个性化肿瘤诊断和治疗提供了关键指导。