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生物发光成像评价载 Saracatinib 纳米粒对 HNSCC 淋巴转移的疗效。

Evaluation of the Efficacy of Saracatinib-Loaded Nanoparticles in Lymphatic Metastases of HNSCC with the Aid of Bioluminescence Imaging.

机构信息

Department of Oral Biology and Diagnostic Sciences, Georgia Cancer Center, Augusta University, Augusta, GA, USA.

Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA.

出版信息

Methods Mol Biol. 2022;2525:15-19. doi: 10.1007/978-1-0716-2473-9_2.

DOI:10.1007/978-1-0716-2473-9_2
PMID:35836057
Abstract

Head and neck squamous cell carcinoma (HNSCC) remains a deadly disease despite concerted efforts to improve its diagnosis and treatment in recent decades. Metastasis of advanced HNSCC nearly always occurs first in neck lymph nodes before the development of distant metastasis. However, the development of preclinical animal models and therapeutic treatments for metastatic HNSCC is lagged from bench to clinic. In this protocol, we exemplify an orthotopic tongue tumor model that can recapitulate the cervical lymphatic metastases of HNSCC and the application to study the effect of novel saracatinib-loaded nanoparticles (Nano-Sar). By taking advantage of bioluminescence imaging (BLI), the present protocol reveals the strong anti-metastatic efficacy of Nano-Sar in the experimental setup. Collectively, the protocol with a novel metastatic mouse model shows great potential to evaluate treatments on metastatic diseases with the aid of bioluminescent technology.

摘要

尽管近年来在提高头颈部鳞状细胞癌(HNSCC)的诊断和治疗方面做出了共同努力,但它仍然是一种致命的疾病。晚期 HNSCC 的转移几乎总是先发生在颈部淋巴结,然后才发生远处转移。然而,转移性 HNSCC 的临床前动物模型和治疗方法的发展滞后于临床实践。在本方案中,我们举例说明了一种原位舌肿瘤模型,该模型可以重现 HNSCC 的颈部淋巴转移,并可用于研究新型 Saracatinib 载药纳米颗粒(Nano-Sar)的效果。通过利用生物发光成像(BLI),本方案揭示了 Nano-Sar 在实验设置中具有很强的抗转移功效。总的来说,该方案结合新型转移性小鼠模型,在生物发光技术的辅助下,为评估转移性疾病的治疗方法提供了巨大的潜力。

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Methods Mol Biol. 2022;2525:15-19. doi: 10.1007/978-1-0716-2473-9_2.
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本文引用的文献

1
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.全球癌症统计数据 2018:GLOBOCAN 对全球 185 个国家/地区 36 种癌症的发病率和死亡率的估计。
CA Cancer J Clin. 2018 Nov;68(6):394-424. doi: 10.3322/caac.21492. Epub 2018 Sep 12.