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Patient-Derived Xenograft Models of Epithelial Ovarian Cancer for Preclinical Studies

Authors :
Hye-Kyung Jeon
Yoon-La Choi
Eun Jin Heo
Yoo-Young Lee
Chel Hun Choi
Young Jae Cho
Sang Yong Song
Tae-Joong Kim
Ji Eun Hong
Woong-Yang Park
Byoung-Gie Kim
Duk-Soo Bae
Jeong-Won Lee
Doo-Yi Oh
William Chi Cho
Jung-Joo Choi
Source :
Cancer Research and Treatment : Official Journal of Korean Cancer Association
Publication Year :
2017
Publisher :
Korean Cancer Association, 2017.

Abstract

Purpose Patient-derived tumor xenografts (PDXs) can provide more reliable information about tumor biology than cell line models. We developed PDXs for epithelial ovarian cancer (EOC) that have histopathologic and genetic similarities to the primary patient tissues and evaluated their potential for use as a platform for translational EOC research. Materials and methods We successfully established PDXs by subrenal capsule implantation of primary EOC tissues into female BALB/C-nude mice. The rate of successful PDX engraftment was 48.8% (22/45 cases). Hematoxylin and eosin staining and short tandem repeat analysis showed histopathological and genetic similarity between the PDX and primary patient tissues. Results Patients whose tumors were successfully engrafted in mice had significantly inferior overall survival when compared with those whose tumors failed to engraft (p=0.040). In preclinical tests of this model, we found that paclitaxel-carboplatin combination chemotherapy significantly deceased tumor weight in PDXs compared with the control treatment (p=0.013). Moreover, erlotinib treatment significantly decreased tumor weight in epidermal growth factor receptor-overexpressing PDX with clear cell histology (p=0.023). Conclusion PDXs for EOC with histopathological and genetic stability can be efficiently developed by subrenal capsule implantation and have the potential to provide a promising platform for future translational research and precision medicine for EOC.

Details

ISSN :
20059256 and 15982998
Volume :
49
Database :
OpenAIRE
Journal :
Cancer Research and Treatment
Accession number :
edsair.doi.dedup.....ebb6e9713d5dcc5cca2020c3d6918721
Full Text :
https://doi.org/10.4143/crt.2016.322