Skip Navigation
Skip to contents

Cancer Res Treat : Cancer Research and Treatment

OPEN ACCESS

Search

Page Path
HOME > Search
1 "Sun-Ae Park"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Article
Comparison of Clinical Features and Outcomes in Epithelial Ovarian Cancer according to Tumorigenicity in Patient-Derived Xenograft Models
Kyung Jin Eoh, Young Shin Chung, So Hyun Lee, Sun-Ae Park, Hee Jung Kim, Wookyeom Yang, In Ok Lee, Jung-Yun Lee, Hanbyoul Cho, Doo Byung Chay, Sunghoon Kim, Sang Wun Kim, Jae-Hoon Kim, Young Tae Kim, Eun Ji Nam
Cancer Res Treat. 2018;50(3):956-963.   Published online October 17, 2017
DOI: https://doi.org/10.4143/crt.2017.181
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
Although the use of xenograft models is increasing, few studies have compared the clinical features or outcomes of epithelial ovarian cancer (EOC) patients according to the tumorigenicity of engrafted specimens. The purpose of this study was to evaluate whether tumorigenicity was associated with the clinical features and outcomes of EOC patients.
Materials and Methods
Eighty-eight EOC patients who underwent primary or interval debulking surgery from June 2014 to December 2015 were included. Fresh tumor specimens were implanted subcutaneously on each flank of immunodeficient mice. Patient characteristics, progression-free survival (PFS), and germline mutation spectra were compared according to tumorigenicity.
Results
Xenografts were established successfully from 49 of 88 specimens. Tumorigenicity was associated with lymphovascular invasion and there was a propensity to engraft successfully with high-grade tumors. Tumors from patientswho underwent non-optimal (residual disease ≥ 1 cm) primary orinterval debulking surgery had a significantly greater propensity to achieve tumorigenicity than those who received optimal surgery. In addition, patients whose tumors became engrafted seemed to have a shorter PFS and more frequent germline mutations than patients whose tumors failed to engraft. Tumorigenicity was a significant factor for predicting PFS with advanced International Federation of Gynecology and Obstetrics stage and high-grade cancers.
Conclusions
Tumorigenicity in a xenograft model was a strong prognostic factor and was associated with more aggressive tumors in EOC patients. Xenograft models can be useful as a preclinical tool to predict prognosis and could be applied to further pharmacologic and genomic studies on personalized treatments.

Citations

Citations to this article as recorded by  
  • TOWARDS Study: Patient-Derived Xenograft Engraftment Predicts Poor Survival in Patients With Newly Diagnosed Triple-Negative Breast Cancer
    Christos Vaklavas, Cindy B. Matsen, Zhengtao Chu, Kenneth M. Boucher, Sandra D. Scherer, Satya Pathi, Anna Beck, Kirstyn E. Brownson, Saundra S. Buys, Namita Chittoria, Elyse D'Astous, H. Evin Gulbahce, N. Lynn Henry, Stephen Kimani, Jane Porretta, Regina
    JCO Precision Oncology.2024;[Epub]     CrossRef
  • Generation, evolution, interfering factors, applications, and challenges of patient-derived xenograft models in immunodeficient mice
    Mingtang Zeng, Zijing Ruan, Jiaxi Tang, Maozhu Liu, Chengji Hu, Ping Fan, Xinhua Dai
    Cancer Cell International.2023;[Epub]     CrossRef
  • Cancer “Avatars”: Patient-Derived Xenograft Growth Correlation with Postoperative Recurrence and Survival in Pancreaticobiliary Cancer
    Isaac T Lynch, Amro M Abdelrahman, Roberto Alva-Ruiz, Alessandro Fogliati, Rondell P Graham, Rory Smoot, Mark J Truty
    Journal of the American College of Surgeons.2023; 237(3): 483.     CrossRef
  • Identification of Prognostic Markers of Gynecologic Cancers Utilizing Patient-Derived Xenograft Mouse Models
    Ha-Yeon Shin, Eun-ju Lee, Wookyeom Yang, Hyo Sun Kim, Dawn Chung, Hanbyoul Cho, Jae-Hoon Kim
    Cancers.2022; 14(3): 829.     CrossRef
  • Experimental models for ovarian cancer research
    Sum In Tsang, Ayon A. Hassan, Sally K.Y. To, Alice S.T. Wong
    Experimental Cell Research.2022; 416(1): 113150.     CrossRef
  • Preclinical models of epithelial ovarian cancer: practical considerations and challenges for a meaningful application
    Alessandra Ciucci, Marianna Buttarelli, Anna Fagotti, Giovanni Scambia, Daniela Gallo
    Cellular and Molecular Life Sciences.2022;[Epub]     CrossRef
  • Harnessing preclinical models for the interrogation of ovarian cancer
    Tianyu Qin, Junpeng Fan, Funian Lu, Li Zhang, Chen Liu, Qiyue Xiong, Yang Zhao, Gang Chen, Chaoyang Sun
    Journal of Experimental & Clinical Cancer Research.2022;[Epub]     CrossRef
  • Prognostic value of patient‐derived xenograft engraftment in pediatric sarcomas
    Helena Castillo‐Ecija, Guillem Pascual‐Pasto, Sara Perez‐Jaume, Claudia Resa‐Pares, Monica Vila‐Ubach, Carles Monterrubio, Ana Jimenez‐Cabaco, Merce Baulenas‐Farres, Oscar Muñoz‐Aznar, Noelia Salvador, Maria Cuadrado‐Vilanova, Nagore G Olaciregui, Leire B
    The Journal of Pathology: Clinical Research.2021; 7(4): 338.     CrossRef
  • Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review
    Tomohito Tanaka, Ruri Nishie, Shoko Ueda, Shunsuke Miyamoto, Sousuke Hashida, Hiromi Konishi, Shinichi Terada, Yuhei Kogata, Hiroshi Sasaki, Satoshi Tsunetoh, Kohei Taniguchi, Kazumasa Komura, Masahide Ohmichi
    International Journal of Molecular Sciences.2021; 22(17): 9369.     CrossRef
  • Biliary tract cancer patient-derived xenografts: Surgeon impact on individualized medicine
    Jennifer L. Leiting, Stephen J. Murphy, John R. Bergquist, Matthew C. Hernandez, Tommy Ivanics, Amro M. Abdelrahman, Lin Yang, Isaac Lynch, James B. Smadbeck, Sean P. Cleary, David M. Nagorney, Michael S. Torbenson, Rondell P. Graham, Lewis R. Roberts, Gr
    JHEP Reports.2020; 2(2): 100068.     CrossRef
  • Patient-derived xenograft model engraftment predicts poor prognosis after surgery in patients with pancreatic cancer
    Qi Chen, Tao Wei, Jianxin Wang, Qi Zhang, Jin Li, Jingying Zhang, Lei Ni, Yi Wang, Xueli Bai, Tingbo Liang
    Pancreatology.2020; 20(3): 485.     CrossRef
  • A Biobank of Colorectal Cancer Patient-Derived Xenografts
    Suad M. Abdirahman, Michael Christie, Adele Preaudet, Marie C. U. Burstroem, Dmitri Mouradov, Belinda Lee, Oliver M. Sieber, Tracy L. Putoczki
    Cancers.2020; 12(9): 2340.     CrossRef
  • High-Grade Serous Ovarian Cancer: Basic Sciences, Clinical and Therapeutic Standpoints
    Michael-Antony Lisio, Lili Fu, Alicia Goyeneche, Zu-hua Gao, Carlos Telleria
    International Journal of Molecular Sciences.2019; 20(4): 952.     CrossRef
  • Efficient use of patient-derived organoids as a preclinical model for gynecologic tumors
    Yoshiaki Maru, Naotake Tanaka, Makiko Itami, Yoshitaka Hippo
    Gynecologic Oncology.2019; 154(1): 189.     CrossRef
  • Current Status of Patient-Derived Ovarian Cancer Models
    Yoshiaki Maru, Yoshitaka Hippo
    Cells.2019; 8(5): 505.     CrossRef
  • Establishment of patient‐derived xenograft model in ovarian cancer and its influence factors analysis
    Jianfa Wu, Yunxi Zheng, Qi Tian, Ming Yao, Xiaofang Yi
    Journal of Obstetrics and Gynaecology Research.2019; 45(10): 2062.     CrossRef
  • Ovarian Cancers: Genetic Abnormalities, Tumor Heterogeneity and Progression, Clonal Evolution and Cancer Stem Cells
    Ugo Testa, Eleonora Petrucci, Luca Pasquini, Germana Castelli, Elvira Pelosi
    Medicines.2018; 5(1): 16.     CrossRef
  • 8,771 View
  • 238 Download
  • 18 Web of Science
  • 17 Crossref
Close layer

Cancer Res Treat : Cancer Research and Treatment
Close layer
TOP