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

Liu, Xiaoya1,9; Wang, Xueying2; Luo, Yucheng1; Wang, Meijuan1; Chen, Zijian1; Han, Xiaoyu1; Zhou, Sijia3; Wang, Jiahao4; Kong, Jian5; Yu, Hanry4,6,7; Wang, Xiaobo3; Tang, Xiaoying2,8; Guo, Qiongyu1

2023-02-01

10.1002/advs.202206195

ADVANCED SCIENCE   影响因子和分区

2198-3844

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.

3D drug release model decellularized organ extracellular matrix hepatocellular carcinoma transarterial chemoembolization

SCI ; EI

英语

第一 ; 通讯

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]

Chemistry ; Science & Technology - Other Topics ; Materials Science

Chemistry, Multidisciplinary ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary

WOS:000936698100001

WILEY

20230813614402

3D modeling ; Controlled drug delivery ; Deep learning ; Learning systems ; Targeted drug delivery

Biological Materials and Tissue Engineering:461.2 ; Ergonomics and Human Factors Engineering:461.4 ; Data Processing and Image Processing:723.2

Web of Science

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

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,2023,10(11).

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,10(11).

Liu, Xiaoya,et al."A 3D Tumor-Mimicking In Vitro Drug Release Model of Locoregional Chemoembolization Using Deep Learning-Based Quantitative Analyses".ADVANCED SCIENCE 10.11(2023).