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PDX models of human lung squamous cell carcinoma: consideration of factors in preclinical and co-clinical applications

Authors :
Hae-Yun Jung
Tae Ho Kim
Jong-Eun Lee
Hong Kwan Kim
Jong Ho Cho
Yong Soo Choi
Sumin Shin
Se-Hoon Lee
Hwanseok Rhee
Hee Kyung Lee
Hyun Jung Choi
Hye Yoon Jang
Seungjae Lee
Jung Hee Kang
Young Ae Choi
Sanghyuk Lee
Jinseon Lee
Yoon La Choi
Jhingook Kim
Source :
Journal of Translational Medicine, Vol 18, Iss 1, Pp 1-13 (2020)
Publication Year :
2020
Publisher :
BMC, 2020.

Abstract

Abstract Background Treatment of human lung squamous cell carcinoma (LUSC) using current targeted therapies is limited because of their diverse somatic mutations without any specific dominant driver mutations. These mutational diversities preventing the use of common targeted therapies or the combination of available therapeutic modalities would require a preclinical animal model of this tumor to acquire improved clinical responses. Patient-derived xenograft (PDX) models have been recognized as a potentially useful preclinical model for personalized precision medicine. However, whether the use of LUSC PDX models would be appropriate enough for clinical application is still controversial. Methods In the process of developing PDX models from Korean patients with LUSC, the authors investigated the factors influencing the successful initial engraftment of tumors in NOD scid gamma mice and the retainability of the pathological and genomic characteristics of the parental patient tumors in PDX tumors. Conclusions The authors have developed 62 LUSC PDX models that retained the pathological and genomic features of parental patient tumors, which could be used in preclinical and co-clinical studies. Trial registration Tumor samples were obtained from 139 patients with LUSC between November 2014 and January 2019. All the patients provided signed informed consents. This study was approved by the institutional review board (IRB) of Samsung Medical Center (2018-03-110)

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.9d93ac959c034382aa1b8870c7dc3a31
Document Type :
article
Full Text :
https://doi.org/10.1186/s12967-020-02473-y