Mesenchymal cell interaction with ovarian cancer cells induces a background dependent pro-metastatic transcriptomic profile

Raphael Lis, Cyril Touboul, Najeeb Halabi, Abishek S. Madduri, Denis Querleu, Jason Mezey, Joel Malek, Karsten Suhre, Arash Rafii Tabrizi

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Background: The cross talk between the stroma and cancer cells plays a major role in phenotypic modulation. During peritoneal carcinomatosis ovarian cancer cells interact with mesenchymal stem cells (MSC) resulting in increased metastatic ability. Understanding the transcriptomic changes underlying the phenotypic modulation will allow identification of key genes to target. However in the context of personalized medicine we must consider inter and intra tumoral heterogeneity. In this study we used a pathway-based approach to illustrate the role of cell line background in transcriptomic modification during a cross talk with MSC.Methods: We used two ovarian cancer cell lines as a surrogate for different ovarian cancer subtypes: OVCAR3 for an epithelial and SKOV3 for a mesenchymal subtype. We co-cultured them with MSCs. Genome wide gene expression was determined after cell sorting. Ingenuity pathway analysis was used to decipher the cell specific transcriptomic changes related to different pro-metastatic traits (Adherence, migration, invasion, proliferation and chemoresistance).Results: We demonstrate that co-culture of ovarian cancer cells in direct cellular contact with MSCs induces broad transcriptomic changes related to enhance metastatic ability. Genes related to cellular adhesion, invasion, migration, proliferation and chemoresistance were enriched under these experimental conditions. Network analysis of differentially expressed genes clearly shows a cell type specific pattern.Conclusion: The contact with the mesenchymal niche increase metastatic initiation and expansion through cancer cells' transcriptome modification dependent of the cellular subtype. Personalized medicine strategy might benefit from network analysis revealing the subtype specific nodes to target to disrupt acquired pro-metastatic profile.

Original languageEnglish
Article number59
JournalJournal of Translational Medicine
Volume12
Issue number1
DOIs
Publication statusPublished - 5 Mar 2014

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Cell Communication
Ovarian Neoplasms
Cells
Genes
Precision Medicine
Electric network analysis
Stem cells
Mesenchymal Stromal Cells
Medicine
Modulation
Cell Line
Coculture Techniques
Transcriptome
Sorting
Cell culture
Gene expression
Neoplasms
Adhesion
Genome
Carcinoma

Keywords

  • Genomic modification
  • Mesenchymal stem cell
  • Metastasis
  • Ovarian cancer
  • Transcriptome

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Mesenchymal cell interaction with ovarian cancer cells induces a background dependent pro-metastatic transcriptomic profile. / Lis, Raphael; Touboul, Cyril; Halabi, Najeeb; Madduri, Abishek S.; Querleu, Denis; Mezey, Jason; Malek, Joel; Suhre, Karsten; Tabrizi, Arash Rafii.

In: Journal of Translational Medicine, Vol. 12, No. 1, 59, 05.03.2014.

Research output: Contribution to journalArticle

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