Gene Expression Patterns in Ovarian Carcinomas

Marci E. Schaner, Douglas T. Ross, Giuseppe Ciaravino, Therese Sørlie, Olga G. Troyanskaya, Maximilian Diehn, Yan C. Wang, George E. Duran, Thomas L. Sikic, Sandra Caldeira, Hanne Skomedal, I. Ping Tu, Tina Hernandez-Boussard, Steven W. Johnson, Peter J. O'Dwyer, Michael J. Fero, Gunnar B. Kristensen, Anne Lise Børresen-Dale, Trevor Hastie, Robert TibshiraniMatt Van De Rijn, Nelson N. Teng, Teri A. Longacre, David Botstein, Patrick O. Brown, Branimir I. Sikic

Research output: Contribution to journalArticlepeer-review

294 Scopus citations

Abstract

We used DNA microarrays to characterize the global gene expression patterns in surface epithelial cancers of the ovary. We identified groups of genes that distinguished the clear cell subtype from other ovarian carcinomas, grade I and II from grade III serous papillary carcinomas, and ovarian from breast carcinomas. Six clear cell carcinomas were distinguished from 36 other ovarian carcinomas (predominantly serous papillary) based on their gene expression patterns. The differences may yield insights into the worse prognosis and therapeutic resistance associated with clear cell carcinomas. A comparison of the gene expression patterns in the ovarian cancers to published data of gene expression in breast cancers revealed a large number of differentially expressed genes. We identified a group of 62 genes that correctly classified all 125 breast and ovarian cancer specimens. Among the best discriminators more highly expressed in the ovarian carcinomas were PAX8 (paired box gene 8), mesothelin, and ephrin-B1 (EFNB1). Although estrogen receptor was expressed in both the ovarian and breast cancers, genes that are coregulated with the estrogen receptor in breast cancers, including GATA-3, LIV-1, and X-box binding protein 1, did not show a similar pattern of coexpression in the ovarian cancers.

Original languageEnglish (US)
Pages (from-to)4376-4386
Number of pages11
JournalMolecular biology of the cell
Volume14
Issue number11
DOIs
StatePublished - Nov 2003

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Cell Biology

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