中文版 | English
Title

A 3D Tumor-Mimicking In Vitro Drug Release Model of Locoregional Chemoembolization Using Deep Learning-Based Quantitative Analyses

Author
Corresponding AuthorTang, Xiaoying; Guo, Qiongyu
Publication Years
2023-02-01
DOI
Source Title
EISSN
2198-3844
Abstract
Primary liver cancer, with the predominant form as hepatocellular carcinoma (HCC), remains a worldwide health problem due to its aggressive and lethal nature. Transarterial chemoembolization, the first-line treatment option of unresectable HCC that employs drug-loaded embolic agents to occlude tumor-feeding arteries and concomitantly delivers chemotherapeutic drugs into the tumor, is still under fierce debate in terms of the treatment parameters. The models that can produce in-depth knowledge of the overall intratumoral drug release behavior are lacking. This study engineers a 3D tumor-mimicking drug release model, which successfully overcomes the substantial limitations of conventional in vitro models through utilizing decellularized liver organ as a drug-testing platform that uniquely incorporates three key features, i.e., complex vasculature systems, drug-diffusible electronegative extracellular matrix, and controlled drug depletion. This drug release model combining with deep learning-based computational analyses for the first time permits quantitative evaluation of all important parameters associated with locoregional drug release, including endovascular embolization distribution, intravascular drug retention, and extravascular drug diffusion, and establishes long-term in vitro-in vivo correlations with in-human results up to 80 d. This model offers a versatile platform incorporating both tumor-specific drug diffusion and elimination settings for quantitative evaluation of spatiotemporal drug release kinetics within solid tumors.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First ; Corresponding
Funding Project
Key-Area Research and Development Program of Guangdong Province[2019B010941001] ; National Natural Science Foundation of China["81971764","62071210"] ; Guangdong Research Fund[2019ZT08Y191] ; Innovation Committee of Shenzhen Municipality["JCYJ20200109141638004","JCYJ20190809120205578","JCYJ20200925153847004","KCXFZ2020122117340001","RCYX20210609103056042"] ; Guangdong Provincial Key Laboratory of Advanced Biomaterials[2022B1212010003] ; Scientifiques de la Fondation ARC[PJA 20171206526] ; Shenzhen Key Laboratory of Smart Healthcare Engineering[ZDSYS20200811144003009]
WOS Research Area
Chemistry ; Science & Technology - Other Topics ; Materials Science
WOS Subject
Chemistry, Multidisciplinary ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary
WOS Accession No
WOS:000936698100001
Publisher
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/502145
DepartmentDepartment of Biomedical Engineering
工学院_电子与电气工程系
南方科技大学第一附属医院
Affiliation
1.Southern Univ Sci & Technol, Dept Biomed Engn, Shenzhen Key Lab Smart Healthcare Engn, Guangdong Prov Key Lab Adv Biomat, Shenzhen 518055, Guangdong, Peoples R China
2.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Guangdong, Peoples R China
3.Univ Toulouse, Ctr Biol Integrat CBI, Dept Mol Cellular & Dev Biol MCD, F-31062 Toulouse, France
4.Natl Univ Singapore, Mechanobiol Inst, Singapore 117411, Singapore
5.Jinan Univ, Southern Univ Sci & Technol, Clin Med Coll 2, Affiliated Hosp 1,Shenzhen Peoples Hosp,Dept Inter, Shenzhen 518020, Guangdong, Peoples R China
6.Natl Univ Singapore, Inst Digital Med, Dept Physiol, Singapore 117593, Singapore
7.Natl Univ Singapore, Mechanobiol Inst, Singapore 117593, Singapore
8.Southern Univ Sci & Technol, Jiaxing Res Inst, Jiaxing 314000, Zhejiang, Peoples R China
9.Shenzhen Childrens Hosp, Dept Pharm, Shenzhen 518026, Guangdong, Peoples R China
First Author AffilicationDepartment of Biomedical Engineering
Corresponding Author AffilicationDepartment of Electrical and Electronic Engineering;  Southern University of Science and Technology;  Department of Biomedical Engineering
First Author's First AffilicationDepartment of Biomedical Engineering
Recommended Citation
GB/T 7714
Liu, Xiaoya,Wang, Xueying,Luo, Yucheng,et al. A 3D Tumor-Mimicking In Vitro Drug Release Model of Locoregional Chemoembolization Using Deep Learning-Based Quantitative Analyses[J]. ADVANCED SCIENCE,2023.
APA
Liu, Xiaoya.,Wang, Xueying.,Luo, Yucheng.,Wang, Meijuan.,Chen, Zijian.,...&Guo, Qiongyu.(2023).A 3D Tumor-Mimicking In Vitro Drug Release Model of Locoregional Chemoembolization Using Deep Learning-Based Quantitative Analyses.ADVANCED SCIENCE.
MLA
Liu, Xiaoya,et al."A 3D Tumor-Mimicking In Vitro Drug Release Model of Locoregional Chemoembolization Using Deep Learning-Based Quantitative Analyses".ADVANCED SCIENCE (2023).
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