Cited by 127Ovarian cancer diagnosis and treatmentBRCA gene mutations in cancerCancer Cells and Metastasis

Establishment of Patient-Derived Tumor Xenograft Models of Epithelial Ovarian Cancer for Preclinical Evaluation of Novel Therapeutics

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Liu, Joyce F., Palakurthi, Sangeetha, Zeng, Qing, Zhou, Shan, Ivanova, Elena, Huang, Wei, Zervantonakis, Ioannis K., Selfors, Laura M. +18 more·2017·Clinical Cancer Research

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Abstract

Abstract Purpose: Ovarian cancer is the leading cause of death from gynecologic malignancy in the United States, with high rates of recurrence and eventual resistance to cytotoxic chemotherapy. Model systems that allow for accurate and reproducible target discovery and validation are needed to support further drug development in this disease. Experimental Design: Clinically annotated patient-derived xenograft (PDX) models were generated from tumor cells isolated from the ascites or pleural fluid of patients undergoing clinical procedures. Models were characterized by IHC and by molecular analyses. Each PDX was luciferized to allow for reproducible in vivo assessment of intraperitoneal tumor burden by bioluminescence imaging (BLI). Plasma assays for CA125 and human LINE-1 were developed as secondary tests of in vivo disease burden. Results: Fourteen clinically annotated and molecularly characterized luciferized ovarian PDX models were generated. Luciferized PDX models retain fidelity to both the nonluciferized PDX and the original patient tumor, as demonstrated by IHC, array CGH, and targeted and whole-exome sequencing analyses. Models demonstrated diversity in specific genetic alterations and activation of PI3K signaling pathway members. Response of luciferized PDX models to standard-of-care therapy could be reproducibly monitored by BLI or plasma markers. Conclusions: We describe the establishment of a collection of 14 clinically annotated and molecularly characterized luciferized ovarian PDX models in which orthotopic tumor burden in the intraperitoneal space can be followed by standard and reproducible methods. This collection is well suited as a platform for proof-of-concept efficacy and biomarker studies and for validation of novel therapeutic strategies in ovarian cancer. Clin Cancer Res; 23(5); 1263–73. ©2016 AACR.

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References 20 · Cited by 127

Authors
Liu, J. F., Palakurthi, S., Zeng, Q., Zhou, S., Ivanova, E., Huang, W., Zervantonakis, I. K., Selfors, L. M., Shen, Y., Pritchard, C. C., Zheng, M., Adleff, V., Papp, E., Piao, H., Novak, M., Fotheringham, S., Wulf, G. M., English, J., Kirschmeier, P. T., Velculescu, V. E., Paweletz, C., Mills, G. B., Livingston, D. M., Brugge, J. S., Matulonis, U. A., & Drapkin, R.
Affiliations
  • Dana-Farber Cancer Institute (US)
  • Harvard University (US)
  • Boston Children's Hospital (US)
  • University of Washington (US)
  • Brigham and Women's Hospital (US)
  • Johns Hopkins University (US)
  • Beth Israel Deaconess Medical Center (US)
  • The University of Texas MD Anderson Cancer Center (US)
  • University of Pennsylvania (US)
Corresponding author
Liu, Joyce F.
Venue
Clinical Cancer Research
Published
2017-02-28
Volume
23
Issue
5
Pages
1263-1273
ISSN
  • 1078-0432 (ISSN-L)
  • 1557-3265
OpenAlex
W2513777968
Cited by
127
References
20
Citations by year
2026: 3 · 2025: 11 · 2024: 10 · 2023: 15 · 2022: 20 · 2021: 17 · 2020: 20 · 2019: 15 · 2018: 8 · 2017: 6 · 2016: 2
FWCI
13.73
Type
journal article
Language
en
Open access
Locations
  • Clinical Cancer Research (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (5r01ca121113-15, 5p50ca083636-15)
  • National Cancer Institute (P50CA217685, P50-CA083636, R01-CA121113, U01CA152990, P30CA016672, K12CA087723, P30CA006973)
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Ovarian cancer diagnosis and treatment
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
Keywords
epithelial ovarian cancer, patient-derived xenografts, bioluminescence imaging, CA125, LINE-1, ascites, pleural fluid, PI3K signaling, drug target validation, preclinical drug testing, biomarkers
MeSH terms
Carcinoma, Ovarian Epithelial, Animals, Antineoplastic Agents, Ascites, Disease Models, Animal, Humans, Membrane Proteins, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Signal Transduction, CA-125 Antigen, Long Interspersed Nucleotide Elements, Xenograft Model Antitumor Assays, Cell Line, Tumor, Mice

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