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Establishment and characterisation of patient-derived xenografts as paraclinical models for gastric cancer

 Yoon Young Choi  ;  Jae Eun Lee  ;  Hyunki Kim  ;  Moon Hee Sim  ;  Ka-Kyung Kim  ;  Gunho Lee  ;  Hyoung-Il Kim  ;  Ji Yeong An  ;  Woo Jin Hyung  ;  Choong-Bai Kim  ;  Sung Hoon Noh  ;  Sangwoo Kim  ;  Jae-Ho Cheong 
 Scientific Reports, Vol.6 : 22172, 2016 
Journal Title
 Scientific Reports 
Issue Date
Animals ; Disease Models, Animal ; Exome ; Female ; Genomics ; Heterografts ; High-Throughput Nucleotide Sequencing ; Humans ; Immunohistochemistry ; Male ; Mice ; Mice, Nude ; Neoplasm Grading ; Neoplasm Staging ; Stomach Neoplasms/genetics ; Stomach Neoplasms/metabolism ; Stomach Neoplasms/pathology*
The patient-derived xenograft (PDX) model is emerging as a promising translational platform to duplicate the characteristics of tumours. However, few studies have reported detailed histological and genomic analyses for model fidelity and for factors affecting successful model establishment of gastric cancer. Here, we generated PDX tumours surgically-derived from 62 gastric cancer patients. Fifteen PDX models were successfully established (24.2%, 15/62) and passaged to maintain tumours in immune-compromised mice. Diffuse type and low tumour cell percentage were negatively correlated with success rates (p = 0.005 and p = 0.025, respectively), while reducing ex vivo and overall procedure times were positively correlated with success rates (p = 0.003 and p = 0.01, respectively). The histology and genetic characteristics of PDX tumour models were stable over subsequent passages. Lymphoma transformation occurred in five cases (33.3%, 5/15), and all were in the NOG mouse, with none in the nude mouse. Together, the present study identified Lauren classification, tumour cell percentages, and ex vivo times along with overall procedure times, as key determinants for successful PDX engraftment. Furthermore, genetic and histological characteristics were highly consistent between primary and PDX tumours, which provide realistic paraclinical models, enabling personalised development of treatment options for gastric cancer.
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1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
Yonsei Authors
Kim, Sangwoo(김상우) ORCID logo https://orcid.org/0000-0001-5356-0827
Kim, Choong Bai(김충배)
Kim, Hyunki(김현기) ORCID logo https://orcid.org/0000-0003-2292-5584
Kim, Hyoung Il(김형일) ORCID logo https://orcid.org/0000-0002-6134-4523
Noh, Sung Hoon(노성훈) ORCID logo https://orcid.org/0000-0003-4386-6886
An, Ji Yeong(안지영)
Cheong, Jae Ho(정재호) ORCID logo https://orcid.org/0000-0002-1703-1781
Choi, Yoon Young(최윤영) ORCID logo https://orcid.org/0000-0002-2179-7851
Hyung, Woo Jin(형우진) ORCID logo https://orcid.org/0000-0002-8593-9214
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