Page 403 - IJB-9-3

International Journal of Bioprinting Bioprinting of a multicellular model

model has potential value in the field of anti-colorectal Resources: Huayu Yang, Yilei Mao, Bin Wu, Bao Jin, Peipei
cancer drug screening [51-55] . In our experiment, we found Wang
that colorectal cancer cells in the 3D printing-M were Writing – original draft: Peipei Wang, Huayu Yang
significantly resistant to chemotherapy, so we increased Writing – review & editing: Huayu Yang, Pepei Wang
the concentration gradient and found that only at high All authors have read and approved the final version to
concentrations did the colorectal cancer cells in the be published.
3D printing-M group show a drug inhibition response.
The addition of tumor-associated macrophages M2 and Ethics approval and consent to participate
endothelial cells to the multicellular co-culture model
may have a protective effect on colorectal cancer cells and Not applicable.
make colorectal cancer cells more resistant to antitumor Consent for publication
drugs. Further exploration in the molecular mechanism
of chemotherapeutic resistance in colorectal cancer is All authors agreed to the publication of the article.
warranted in subsequent studies. Availability of data
Our study has some limitations. This is the first time
that our research group developed a 3D bioprinted No additional data are available to the public.
multicellular co-culture model using concentric axis dual- References
nozzle 3D biopriting, which is technically worthy of further
optimization. Our 3D printing-M was incorporated with 1. Biller LH, Schrag D, 2021, Diagnosis and treatment of
SW480 cell lines and was not constructed with primary metastatic colorectal cancer: A review. JAMA, 325: 669–685.
colorectal cells. We considered using more stable cell https://doi.org/10.1001/jama.2021.0106
lines in the modeling stage to ensure the stability and 2. Giglio MC, Troisi RI, 2021, Laparoscopic surgery for
repeatability of the experiment to a certain extent. In the colorectal liver metastases: Moving forward while keeping
future, our research group will validate primary colorectal feet on the ground. Hepatobiliary Surg Nutr, 10: 107–109.
cancer cells based on this experimental model and plan to
use this model for personalized drug prediction. https://doi.org/10.21037/hbsn.2020.04.06
3. Schimanski CC, Staib F, Göhler T, et al., 2017, Dermatux:
Acknowledgments Phase IV trial of Cetuximab plus FOLFIRI in first–line
metastatic colorectal cancer receiving a pre–defined skin
We want to acknowledge the hard work of the faculty at care. J Cancer Res Clin Oncol, 143: 1023–1034.
our institution, who have helped us considerably.
https://doi.org/10.1007/s00432–017–2344–3
Funding 4. Rouwkema J, Khademhosseini A, 2016, Vascularization and
This project was supported by Beijing Natural Science angiogenesis in tissue engineering: Beyond creating static
Foundation (7212077), CAMS Innovation Fund for networks. Trends Biotechnol, 34: 733–745.
Medical Sciences (CIFMS) (No.2021-I2M-1-058), https://doi.org/10.1016/j.tibtech.2016.03.002
Tsinghua University-Peking Union Medical College 5. Swift B, Pfeifer ND, Brouwer KL, 2010, Sandwich–cultured
Hospital Cooperation Project (PTQH201904552), the hepatocytes: An in vitro model to evaluate hepatobiliary
Non-profit Central Research Institute Fund of Chinese transporter–based drug interactions and hepatotoxicity.
Academy of Medical Sciences (2021-JKCS-006), Drug Metab Rev, 42: 446–471.
National High Level Hospital Clinical Research Funding https://doi.org/10.3109/03602530903491881
(No. 2022-PUMCH-B-003) and CAMS Innovation Fund
for Medical Sciences (2021-1-I2M-015). 6. Drost J, Clevers H, 2018, Organoids in cancer research. Nat
Rev Cancer, 18: 407–418.
Conflict of interest https://doi.org/10.1038/s41568–018–0007–6

The authors declare that they have no conflict of interest. 7. Hidalgo M, Amant F, Biankin AV, et al., 2014, Patient–
derived xenograft models: An emerging platform for
Author contributions translational cancer research. Cancer Discov, 4: 998–1013.

Conceptualization: Yilei Mao, Bin Wu, Huayu Yang https://doi.org/10.1158/2159–8290.Cd–14–0001
Formal analysis: Peipei Wang, Lejia Sun, Huayu Yang 8. Mak IW, Evaniew N, Ghert M, 2014, Lost in translation:
Investigation: Peipei Wang, Lejia Sun, Changcan Li Animal models and clinical trials in cancer treatment. Am J
Methodology: Yilei Mao, Bin Wu, Huayu Yang Transl Res, 6: 114–118.

Volume 9 Issue 3 (2023) 395 https://doi.org/10.18063/ijb.694