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Application of a 3D Bioprinted Hepatocellular Carcinoma Cell Model in Antitumor Drug Research

The existing in vitro models for antitumor drug screening have great limitations. Many compounds that inhibit 2D cultured cells do not exhibit the same pharmacological effects in vivo, thereby wasting human and material resources as well as time during drug development. Therefore, developing new mod...

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Detalles Bibliográficos
Autores principales: Sun, Lejia, Yang, Huayu, Wang, Yanan, Zhang, Xinyu, Jin, Bao, Xie, Feihu, Jin, Yukai, Pang, Yuan, Zhao, Haitao, Lu, Xin, Sang, Xinting, Zhang, Hongbing, Lin, Feng, Sun, Wei, Huang, Pengyu, Mao, Yilei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283506/
https://www.ncbi.nlm.nih.gov/pubmed/32582546
http://dx.doi.org/10.3389/fonc.2020.00878
Descripción
Sumario:The existing in vitro models for antitumor drug screening have great limitations. Many compounds that inhibit 2D cultured cells do not exhibit the same pharmacological effects in vivo, thereby wasting human and material resources as well as time during drug development. Therefore, developing new models is critical. The 3D bioprinting technology has greater advantages in constructing human tissue compared with sandwich culture and organoid construction. Here, we used 3D bioprinting technology to construct a 3D model with HepG2 cells (3DP-HepG2). The biological activities of the model were evaluated by immunofluorescence, real-time quantitative PCR, and transcriptome sequencing. Compared with the traditional 2D cultured tumor cells (2D-HepG2), 3DP-HepG2 showed significantly improved expression of tumor-related genes, including ALB, AFP, CD133, IL-8, EpCAM, CD24, and β-TGF genes. Transcriptome sequencing analysis revealed large differences in gene expression between 3DP-HepG2 and 2D-HepG2, especially genes related to hepatocyte function and tumor. We also compared the effects of antitumor drugs in 3DP-HepG2 and 2D-HepG2, and found that the large differences in drug resistance genes between the models may cause differences in the drugs' pharmacodynamics.