4.6 Article

Modeling the Diversity of Epithelial Ovarian Cancer through Ten Novel Well Characterized Cell Lines Covering Multiple Subtypes of the Disease

Journal

CANCERS
Volume 12, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/cancers12082222

Keywords

epithelial ovarian cancer; high-grade serous; mucinous; clear cell; cell lines; xenograft; carboplatin; mutation profile; gene expression; biomarkers

Categories

Funding

  1. Canadian Institute for Health Research [CIHR MOP142724]
  2. ICM (Fond Defi Spyder)
  3. ICM (Fond Anne-Marie Chagnon)
  4. Ovarian Cancer Canada (OCC)
  5. Banque de tissus et de donnees of the Reseau de recherche sur le cancer of the Fonds de recherche du Quebec -Sante (FRQS)
  6. Canadian Tumor Repository Network (CTRNet)

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Cancer cell lines are amongst the most important pre-clinical models. In the context of epithelial ovarian cancer, a highly heterogeneous disease with diverse subtypes, it is paramount to study a wide panel of models in order to draw a representative picture of the disease. As this lethal gynaecological malignancy has seen little improvement in overall survival in the last decade, it is all the more pressing to support future research with robust and diverse study models. Here, we describe ten novel spontaneously immortalized patient-derived ovarian cancer cell lines, detailing their respective mutational profiles and gene/biomarker expression patterns, as well as their in vitro and in vivo growth characteristics. Eight of the cell lines were classified as high-grade serous, while two were determined to be of the rarer mucinous and clear cell subtypes, respectively. Each of the ten cell lines presents a panel of characteristics reflective of diverse clinically relevant phenomena, including chemotherapeutic resistance, metastatic potential, and subtype-associated mutations and gene/protein expression profiles. Importantly, four cell lines formed subcutaneous tumors in mice, a key characteristic for pre-clinical drug testing. Our work thus contributes significantly to the available models for the study of ovarian cancer, supplying additional tools to better understand this complex disease.

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