Back to Search Start Over

A novel patient-derived organoids-based xenografts model for preclinical drug response testing in patients with colorectal liver metastases

Authors :
Mi Jian
Li Ren
Guodong He
Qi Lin
Wentao Tang
Yijiao Chen
Jingwen Chen
Tianyu Liu
Meiling Ji
Ye Wei
Wenju Chang
Jianmin Xu
Source :
Journal of Translational Medicine, Vol 18, Iss 1, Pp 1-17 (2020)
Publication Year :
2020
Publisher :
BMC, 2020.

Abstract

Abstract Backgrounds Cancer-related mortality in patients with colorectal cancer (CRC) is predominantly caused by development of colorectal liver metastases (CLMs). How to screen the sensitive chemotherapy and targeted therapy is the key element to improve the prognosis of CLMs patients. The study aims to develop patient-derived organoids-based xenografted liver metastases (PDOX-LM) model of CRC, to recapitulate the clinical drug response. Methods We transplanted human CRC primary tumor derived organoids in murine spleen to obtain xenografted liver metastases in murine liver. Immunohistochemistry (IHC) staining, whole-exome and RNA sequencing, and drug response testing were utilized to identify the homogeneity in biological and genetic characteristics, and drug response between the PDOX-LM models and donor liver metastases. Results We successfully established PDOX-LM models from patients with CLMs. IHC staining showed that positive expression of CEA, Ki67, VEGF, FGFR2 in donor liver metastases were also well preserved in matched xenografted liver metastases. Whole-exon sequencing and transcriptome analysis showed that both xenografted and donor liver metastases were highly concordant in somatic variants (≥ 0.90 frequency of concordance) and co-expression of driver genes (Pearson’s correlation coefficient reach up to 0.99, P = 0.001). Furthermore, drug response testing showed that the PDOX-LM models can closely recapitulated the clinical response to mFOLFOX6 regiments. Conclusions This PDOX-LM model provides a more convenient and informative platform for preclinical testing of individual tumors by retaining the histologic and genetic features of donor liver metastases. This technology holds great promise to predict treatment sensitivity for patients with CLMs undergoing chemotherapy.

Details

Language :
English
ISSN :
14795876
Volume :
18
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Translational Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.1f089b7d3eb44afe954c497f6c63babc
Document Type :
article
Full Text :
https://doi.org/10.1186/s12967-020-02407-8