A comprehensively characterized cell line panel highly representative of clinical ovarian high-grade serous carcinomas

Kelsie L. Thu, Mahboubeh Papari-Zareei, Victor Stastny, Kai Song, Michael Peyton, Victor D. Martinez, Yu An Zhang, Isabel B. Castro, Marileila Varella-Garcia, Hanquan Liang, Chao Xing, Ralf Kittler, Sara Milchgrub, Diego H. Castrillon, Heather L. Davidson, C. Patrick Reynolds, Wan L. Lam, Jayanthi Lea, Adi F. Gazdar

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Recent literature suggests that most widely used ovarian cancer (OVCA) cell models do not recapitulate the molecular features of clinical tumors. To address this limitation, we generated 18 cell lines and 3 corresponding patient-derived xenografts predominantly from high-grade serous carcinoma (HGSOC) peritoneal effusions. Comprehensive genomic characterization and comparison of each model to its parental tumor demonstrated a high degree of molecular similarity. Our characterization included whole exome-sequencing and copy number profiling for cell lines, xenografts, and matched non-malignant tissues, and DNA methylation, gene expression, and spectral karyotyping for a subset of specimens. Compared to the Cancer Genome Atlas (TCGA), our models more closely resembled HGSOC than any other tumor type, justifying their validity as OVCA models. Our meticulously characterized models provide a crucial resource for the OVCA research community that will advance translational findings and ultimately lead to clinical applications.

Original languageEnglish (US)
Pages (from-to)50489-50499
Number of pages11
JournalOncotarget
Volume8
Issue number31
DOIs
StatePublished - Feb 7 2017

Keywords

  • Cell models
  • Exome-sequencing
  • Genomic characterization
  • High-grade serous ovarian carcinoma
  • Patient-derived xenograft

ASJC Scopus subject areas

  • Oncology

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