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Establishment and genomic characterizations of patient-derived esophageal squamous cell carcinoma xenograft models using biopsies for treatment optimization.

Authors :
Zou, Jianling
Liu, Ying
Wang, Jingyuan
Liu, Zhentao
Lu, Zhihao
Chen, Zuhua
Li, Zhongwu
Dong, Bin
Huang, Wenwen
Li, Yanyan
Gao, Jing
Shen, Lin
Source :
Journal of Translational Medicine; 1/25/2018, Vol. 16, p1-N.PAG, 11p
Publication Year :
2018

Abstract

<bold>Background: </bold>Squamous cell carcinoma is the dominant type of esophageal cancer in China with many patients initially diagnosed at advanced stage. Patient-derived xenografts (PDX) models have been developed to be an important platform for preclinical research. This study aims to establish and characterize PDX models using biopsy tissue from advanced esophageal cancer patients to lay the foundation of preclinical application.<bold>Methods: </bold>Fresh endoscopic biopsy tissues were harvested from patients with advanced esophageal cancer and implanted subcutaneously into NOD/SCID mice. Then, the PDXs were serially passaged for up to four generations. Transplantation was analyzed and genomic characteristics of xenografts were profiled using next-generation sequencing.<bold>Results: </bold>Twenty-five PDX models were established (13.3%, 25/188). The latency period was 75.12 ± 19.87 days (50-120 days) for the first passage and it decreased with increasing passaging. Other than tumor stages, no differences were found between transplantations of xenografts and patient characteristics, irrespective of chemotherapy. Histopathological features and chemosensitivity of PDXs were in great accordance with primary patient tumors. Each PDX was assessed for molecular characteristics including copy number variations, somatic mutations, and signaling pathway abnormalities and these were similar to patient results.<bold>Conclusions: </bold>Our PDX models were established from real time biopsies and molecularly profiled. They might be promising for drug development and individualized therapy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14795876
Volume :
16
Database :
Complementary Index
Journal :
Journal of Translational Medicine
Publication Type :
Academic Journal
Accession number :
127652135
Full Text :
https://doi.org/10.1186/s12967-018-1379-9