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  • Original Paper
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Microarray analysis of gene expression mirrors the biology of an ovarian cancer model

Oncogene volume 20, pages 6617–6626 (2001)Cite this article

Abstract

We have previously described an ovarian cancer model based on four independent spontaneously immortalized epithelial ovarian cancer cell lines (TOV-21G, TOV-81D, TOV-112D and OV-90) from patients who were never exposed to chemotherapy or radiation therapy. These cell lines are particularly interesting since they retain characteristics of the original epithelial ovarian cancers (EOC) from which they were derived. Here we report the characterization of this model system using high-density DNA microarrays in order to assess gene expression. Expression profiles were generated from total RNAs extracted from the four EOC cell lines. For comparison, expression profiling is also provided for a primary culture of normal ovarian surface epithelium (NOV-31) and a fresh EOC sample (TOV-578G). Comparison of expression profiles revealed patterns of expression that distinguish NOV-31 from that of all tumor derived samples. The expression pattern of TOV-81D, an EOC cell line that was derived from a patient with indolent disease, most closely resembles NOV-31 while profiles of samples derived from patients with more aggressive disease (TOV-21G, OV-90, TOV-112D and TOV-578G) showed more divergent patterns of expression. The microarray analysis (http://genome.mcgill.ca) results confirm the usefulness of an ovarian cancer model based on the characterization of these EOC cell lines.

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Acknowledgements

We gratefully acknowledge the assistance of Todd Golub for microarray analysis. We thank L Champoux and F Dion for technical assistance. We are grateful to Dr P Drouin, P Gauthier and J Dubuc-Lissoir for clinical samples, Dr R Vauclair for pathology and N Belanger for clerical assistance with pathology reports. This research was supported by grants from the Medical Research Council of Canada (MRC) (to A-M Mes-Masson, PN Tonin, TJ Hudson and D Provencher), the Canadian Genetic Diseases Network, Federal Networks of Centres of Excellence Program (to TJ Hudson), and a research contract from Bristol-Myers Squibb, Millennium Pharmaceuticals Inc. and Affymetrix (TJ Hudson). M Bossolasco is the recipient of a studentship from the MRC; EN Manderson is the recipient of a studentship from the Natural Sciences and Engineering Research Council of Canada; M Bossolasco and F Rodier receive salary support from the Institut du cancer de Montréal through the Canderel and Foundation Bourgie initiatives; PN Tonin is scholar of the MRC and the Cancer Research Society, Inc; TJ Hudson is a recipient of a Clinician Scientist Award from the MRC; D Provencher is a recipient of a Chercheur-Cliniciens Senior from the Fonds de Recherche en Santé du Québec (FRSQ).; and A-M Mes-Masson is a recipient of a Chercheur National fellowship from the FRSQ.

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Authors and Affiliations

  1. Department of Medicine, McGill University, Montréal, H3G 1A4, Québec, Canada

    Patricia N Tonin & Thomas J Hudson

  2. Department of Human Genetics, McGill University, Montréal, H3A 1B1, Québec, Canada

    Patricia N Tonin, Thomas J Hudson, Peter D Lee & Emily N Manderson

  3. Research Institute of the McGill University Health Center, Montréal, H3G 1A4, Québec, Canada

    Patricia N Tonin & Thomas J Hudson

  4. Montréal Genome Center, McGill University Health Center, Montréal, H3G 1A4, Québec, Canada

    Thomas J Hudson, Peter D Lee & Jaroslav Novak

  5. Center for Genome Research, Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02139, Massachusetts, USA

    Thomas J Hudson

  6. Centre de recherche du Centre Hospitalier de l'Université de Montréal (Hópital Notre-Dame) and Institut du cancer de Montréal, Montréal, H2L 4M1, Québec, Canada

    Francis Rodier, Michela Bossolasco, Diane Provencher & Anne-Marie Mes-Masson

  7. Département d'obstétrique-gynécologie Université de Montréal, Montréal, H3C 3J7, Québec, Canada

    Diane Provencher

  8. Département de médecine, Université de Montréal, Montréal, H3C 3J7, Québec, Canada

    Anne-Marie Mes-Masson

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  1. Patricia N Tonin
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  3. Francis Rodier
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Correspondence to Anne-Marie Mes-Masson.

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Tonin, P., Hudson, T., Rodier, F. et al. Microarray analysis of gene expression mirrors the biology of an ovarian cancer model. Oncogene 20, 6617–6626 (2001). https://doi.org/10.1038/sj.onc.1204804

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