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Multiplexed Imaging with Coordination Nanoparticles for Cancer Diagnosis and Therapy
ACS Applied Bio Materials ( IF 4.6 ) Pub Date : 2020-01-08 , DOI: 10.1021/acsabm.9b01038
Jie Feng 1 , Zhen Xu 1 , Dan Luo 1 , Xiaoqing Liu 1
Affiliation  

Multiplexed imaging offers great potential for precise and accurate diagnosis and therapy. Integrating multiplexed imaging with theranostics is promising to develop cancer therapeutics and diagnostics. However, the lack of versatile platforms with inherent different modalities and various probes hinders the potential of multiplexing imaging for cancer diagnosis and therapy. Here, we demonstrate that multiplexed imaging with advanced theranostic nanomaterials provides a potent method for cancer diagnostics and therapeutics both in vitro and in vivo. Unlike previous theranostic nanoplatforms, the prepared coordination nanomaterials have designable functionalities that are capable of imaging multiple intracellular biomarkers, multiple modality imaging, and photothermal ablation of tumor. Strikingly, this nanoplatform could specifically detect and image different tumor-related mRNAs simultaneously; allow infrared thermal, photoacoustic, and magnetic resonance imaging; and enable effective photothermal therapy to inhibit tumor growth in the MCF-7-derived mice xenograft tumor model. This study suggests that the nanoplatforms with designable functionalities may ultimately enable monitoring cancer processes, therapeutic mechanisms, and treatment outcomes. Exploring and exploiting multiplexed imaging with versatile theranostic nanoparticles may offer a powerful framework for precision medicine.

中文翻译:

用于癌症诊断和治疗的配位纳米粒子的多重成像

多重成像为精确和准确的诊断和治疗提供了巨大的潜力。将多重成像与治疗诊断学相结合有望开发癌症治疗和诊断。然而,缺乏具有固有不同模式和各种探针的多功能平台阻碍了多路成像用于癌症诊断和治疗的潜力。在这里,我们证明了使用先进的治疗诊断纳米材料的多重成像为体外体内癌症诊断和治疗提供了一种有效的方法. 与以前的治疗诊断纳米平台不同,制备的配位纳米材料具有可设计的功能,能够对多种细胞内生物标志物进行成像、多模态成像和肿瘤的光热消融。引人注目的是,这种纳米平台可以同时特异性地检测和成像不同的肿瘤相关 mRNA;允许红外热、光声和磁共振成像;并使有效的光热疗法能够抑制 MCF-7 衍生的小鼠异种移植肿瘤模型中的肿瘤生长。这项研究表明,具有可设计功能的纳米平台最终可能能够监测癌症过程、治疗机制和治疗结果。探索和利用多功能治疗纳米颗粒的多重成像可能为精准医疗提供强大的框架。
更新日期:2020-01-08
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