Targeted-detection and sequential-treatment of small hepatocellular carcinoma in the complex liver environment by GPC-3-targeted nanoparticles
文献类型：期刊论文
| 作者 | Deng,Han3,4; Shang,Wenting3 ; Wang,Kun3; Guo,Kunxiong3,4; Liu,Yu3; Tian,Jie2,3,4; Fang,Chihua1,4
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| 刊名 | Journal of Nanobiotechnology
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| 出版日期 | 2022-03-24 |
| 卷号 | 20期号:1 |
| 关键词 | Small hepatocellular carcinoma Complex liver environment Targeted detection Dynamic contrast-enhanced photoacoustic imaging Sequential catalysis-targeted therapy |
| DOI | 10.1186/s12951-022-01378-w |
| 通讯作者 | Tian,Jie(jie.tian@ia.ac.cn) ; Fang,Chihua(zjyyfangchihua@smu.edu.cn) |
| 英文摘要 | AbstractDespite advancements in diagnostic methods and therapeutic strategies, the mortality rate of hepatocellular carcinoma (HCC) remains as high as its incidence rate. Most liver cancers are detected in the advanced stages, when treatment options are limited. Small HCC is difficult to diagnose and is often overlooked by current imaging methods because of the complexity of the liver environment, especially in cirrhotic livers. In the present study, we developed a tumor “cruise missile”, mesoporous Fe3O4-containing glucose oxidase-conjugated GPC3 peptide nanoparticles (FGP NPs). It was designed to enhance the accuracy of small HCC visualization to 85.7% using combined ultrasound/photoacoustic imaging in complex liver environment, which facilitated sequential catalytic targeted therapy for small HCC. In a carcinogen-induced mouse HCC model, FGP NPs could be used to accurately diagnose HCC in a liver cirrhosis background as well as distinguish HCC nodules from other abnormal liver nodules, such as cirrhosis nodules and necrotic nodules, by dynamic contrast-enhanced photoacoustic imaging. In a mouse xenograft HCC model, highly reactive oxygen species were formed by sequential catalytic reactions, which promoted HCC cell apoptosis, significantly increasing the survival of the model mice. The present study provides a basis for the precise detection and elimination of small HCCs in the complex liver environment.Graphical Abstract |
| 语种 | 英语 |
| WOS记录号 | BMC:10.1186/S12951-022-01378-W |
| 出版者 | BioMed Central |
| 源URL | [http://ir.ia.ac.cn/handle/173211/47930]  |
| 专题 | 自动化研究所_中国科学院分子影像重点实验室 |
| 通讯作者 | Tian,Jie; Fang,Chihua |
| 作者单位 | 1.Provincial Clinical and Engineering Center of Digital Medicine 2.Beihang University; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering 3.Chinese Academy of Sciences; CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation 4.Southern Medical University; Department of Hepatobiliary Surgery, Institute for Digital Intelligence, Zhujiang Hospital |
| 推荐引用方式 GB/T 7714 | Deng,Han,Shang,Wenting,Wang,Kun,et al. Targeted-detection and sequential-treatment of small hepatocellular carcinoma in the complex liver environment by GPC-3-targeted nanoparticles[J]. Journal of Nanobiotechnology,2022,20(1). |
| APA | Deng,Han.,Shang,Wenting.,Wang,Kun.,Guo,Kunxiong.,Liu,Yu.,...&Fang,Chihua.(2022).Targeted-detection and sequential-treatment of small hepatocellular carcinoma in the complex liver environment by GPC-3-targeted nanoparticles.Journal of Nanobiotechnology,20(1). |
| MLA | Deng,Han,et al."Targeted-detection and sequential-treatment of small hepatocellular carcinoma in the complex liver environment by GPC-3-targeted nanoparticles".Journal of Nanobiotechnology 20.1(2022). |
入库方式： OAI收割
来源：自动化研究所
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