Page 134 - IJB-9-1

International Journal of Bioprinting Fabrication of 3D breast tumor model for drug screening

along the edge of scaffolds, which gradually developed into a Investigation: Shuangjia Yang, Jie Xu, Yue Xi
larger cell cluster. Figure 11B showed the morphology of 4T1 Methodology: Kedong Song, Shuangjia Yang, Jie Xu, Ya Su,
grown in a 2D environment. Cells exhibited fully extended Xueyan Hu
and long fusiform shape. With the increase of cells, the cells Project administration: Kedong Song, Yi Nie, Yue Kang, Bo
shrank in size, and no tumor spheres formed during the Pan
whole process until the cells gradually detached from the plate Resources: Kedong Song, Yi Nie, Yue Kang, Bo Pan
as a result of insufficient space. Therefore, compared with 2D Supervision: Kedong Song, Yi Nie
environment, in vitro tumor model constructed in the present Validation: Kedong Song, Yi Nie, Yue Kang, Bo Pan
study could simulate tumor microenvironment in vivo better. Visualization: Jie Xu, Shuangjia Yang, Kedong Song
Writing – original draft: Shuangjia Yang, Jie Xu, Yue Xi
4. Conclusion Writing – review & editing: Kedong Song, Yuen Yee Cheng,

In this study, a metastatic breast tumor model was fabricated Yi Nie, Jie Xu
by 3D printing using a bioink consisting of porcine liver- Ethics approval and consent to participate
derived dECM with different concentrations of gelatin
and sodium alginate. The process of decellularization was Not applicable.
appropriate as cells were removed while the microstructure
and biochemical components that are important for cell Consent for publication
adhesion and tumor progression of ECM were retained. Not applicable.
The concentration of bioinks played an important role in
stability and biocompatibility of scaffolds, and the addition Availability of data
of gelatin and alginate increased hydrophilicity and
mechanical properties, respectively. Distribution of cells Not applicable.
and physical properties could be regulated by changing
the concentration of bioinks. These tumor models References
exhibited good compatibilities and stimulated tumor
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more similar to that of tumor tissues in vivo, indicating
that our model could serve as a flexible platform for cancer https://doi.org/10.1002/ijc.29210
research and anti-tumor drug screening. 2. Ferlay J, Colombet M, Soerjomataram I, et al., 2021, Cancer
statistics for the year 2020: An overview. Int J Cancer, 149(8):
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Not applicable. https://doi.org/10.1002/ijc.33588
3. Xin X, Yang H, Zhang F, et al., 2019, 3D cell coculture
Funding tumor model: A promising approach for future cancer drug
discovery. Process Biochem, 78: 148–160.
This research was funded by the National Natural https://doi.org/10.1016/j.procbio.2018.12.028
Science Foundation of China (31670978), the Fok
Ying Tung Education Foundation (132027), the State 4. Fong EL, Harrington DA, Farach-Carson MC, et al.,
Key Laboratory of Fine Chemicals (KF1111), and the 2016, Heralding a new paradigm in 3D tumor modeling.
Fundamental Research Funds for the Central Universities Biomaterials, 108: 197–213.
(DUT21YG113/DUT22YG213/DUT22YG116). https://doi.org/10.1016/j.biomaterials.2016.08.052
5. Zhang C, Yang Z, Dong DL, et al., 2020, 3D culture
Conflict of interest technologies of cancer stem cells: promising ex vivo tumor
The authors declare no conflict of interest. models. J Tissue Eng, 11: 1–17.
https://doi.org/10.1177/2041731420933407
Author contributions 6. Shapira A, Dvir T, 2021, 3D tissue and organ printing-hope
Conceptualization: Kedong Song, Jie Xu, Shuangjia Yang and reality. Adv Sci, 8(10): 2003751.
Data curation: Jie Xu, Shuangjia Yang https://doi.org/10.1002/advs.202003751
Formal analysis: Jie Xu, Shuangjia Yang, Ya Su, Xueyan Hu

Volume 9 Issue 1 (2023) 126 https://doi.org/10.18063/ijb.v9i1.630