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Prediction of Clinical Precision Chemotherapy by Patient‐Derived 3D Bioprinting Models of Colorectal Cancer and Its Liver Metastases.

Authors :
Sun, Hang
Sun, Lejia
Ke, Xindi
Liu, Lijuan
Li, Changcan
Jin, Bao
Wang, Peipei
Jiang, Zhuoran
Zhao, Hong
Yang, Zhiying
Sun, Yongliang
Liu, Jianmei
Wang, Yan
Sun, Minghao
Pang, Mingchang
Wang, Yinhan
Wu, Bin
Zhao, Haitao
Sang, Xinting
Xing, Baocai
Source :
Advanced Science. 1/15/2024, Vol. 11 Issue 2, p1-14. 14p.
Publication Year :
2024

Abstract

Methods accurately predicting the responses of colorectal cancer (CRC) and colorectal cancer liver metastasis (CRLM) to personalized chemotherapy remain limited due to tumor heterogeneity. This study introduces an innovative patient‐derived CRC and CRLM tumor model for preclinical investigation, utilizing 3d‐bioprinting (3DP) technology. Efficient construction of homogeneous in vitro 3D models of CRC/CRLM is achieved through the application of patient‐derived primary tumor cells and 3D bioprinting with bioink. Genomic and histological analyses affirm that the CRC/CRLM 3DP tumor models effectively retain parental tumor biomarkers and mutation profiles. In vitro tests evaluating chemotherapeutic drug sensitivities reveal substantial tumor heterogeneity in chemotherapy responses within the 3DP CRC/CRLM models. Furthermore, a robust correlation is evident between the drug response in the CRLM 3DP model and the clinical outcomes of neoadjuvant chemotherapy. These findings imply a significant potential for the application of patient‐derived 3DP cancer models in precision chemotherapy prediction and preclinical research for CRC/CRLM. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21983844
Volume :
11
Issue :
2
Database :
Academic Search Index
Journal :
Advanced Science
Publication Type :
Academic Journal
Accession number :
174781912
Full Text :
https://doi.org/10.1002/advs.202304460