PURPOSE: The presence of similar histologic subtypes of epithelial ovarian and endometrial cancers has long been noted, although the relevance of this finding to pathogenesis and clinical management is unclear. Despite similar clinical characteristics, histologic subtypes of cancers of the ovary and endometrium are treated according to organ of origin. This study compares the gene expression profiles of analogous histologic subtypes of cancers of the ovary and endometrium using the same genomic platform to determine the similarities and differences between these tumors. EXPERIMENTAL DESIGN: Gene expression profiles of 75 cancers (endometrioid, serous, and clear cell) of the ovary and endometrium, five renal clear cell cancers, and seven normal epithelial brushings were determined using a 11,000-element cDNA array. All images were analyzed using BRB ArrayTools. Validation was done using real-time PCR on select genes and immunohistochemical staining. RESULTS: Comparison across endometrial and ovarian cancers and serous and endometrioid tumors showed expression patterns reflecting their organ of origin. Clear cell tumors, however, showed remarkably similar expression patterns regardless of their origin, even when compared with renal clear cell samples. A set of 43 genes was common to comparisons of each of the three histologic subtypes of ovarian cancer with normal ovarian surface epithelium. CONCLUSIONS: The comparison of the gene expression profiles of endometrioid and serous subtypes of ovarian and endometrial cancer are largely unique to the combination of a particular subtype in a specific organ. In contrast, clear cell cancers show a remarkable similarity in gene expression profiles across organs (including kidney) and could not be statistically distinguished.
PURPOSE: The presence of similar histologic subtypes of epithelial ovarian and endometrial cancers has long been noted, although the relevance of this finding to pathogenesis and clinical management is unclear. Despite similar clinical characteristics, histologic subtypes of cancers of the ovary and endometrium are treated according to organ of origin. This study compares the gene expression profiles of analogous histologic subtypes of cancers of the ovary and endometrium using the same genomic platform to determine the similarities and differences between these tumors. EXPERIMENTAL DESIGN: Gene expression profiles of 75 cancers (endometrioid, serous, and clear cell) of the ovary and endometrium, five renal clear cell cancers, and seven normal epithelial brushings were determined using a 11,000-element cDNA array. All images were analyzed using BRB ArrayTools. Validation was done using real-time PCR on select genes and immunohistochemical staining. RESULTS: Comparison across endometrial and ovarian cancers and serous and endometrioid tumors showed expression patterns reflecting their organ of origin. Clear cell tumors, however, showed remarkably similar expression patterns regardless of their origin, even when compared with renal clear cell samples. A set of 43 genes was common to comparisons of each of the three histologic subtypes of ovarian cancer with normal ovarian surface epithelium. CONCLUSIONS: The comparison of the gene expression profiles of endometrioid and serous subtypes of ovarian and endometrial cancer are largely unique to the combination of a particular subtype in a specific organ. In contrast, clear cell cancers show a remarkable similarity in gene expression profiles across organs (including kidney) and could not be statistically distinguished.
Authors: Sebastian Vaughan; Jermaine I Coward; Robert C Bast; Andy Berchuck; Jonathan S Berek; James D Brenton; George Coukos; Christopher C Crum; Ronny Drapkin; Dariush Etemadmoghadam; Michael Friedlander; Hani Gabra; Stan B Kaye; Chris J Lord; Ernst Lengyel; Douglas A Levine; Iain A McNeish; Usha Menon; Gordon B Mills; Kenneth P Nephew; Amit M Oza; Anil K Sood; Euan A Stronach; Henning Walczak; David D Bowtell; Frances R Balkwill Journal: Nat Rev Cancer Date: 2011-09-23 Impact factor: 60.716
Authors: Michael P Stany; Tomas Bonome; Fred Wamunyokoli; Kristen Zorn; Laurent Ozbun; Dong-Choon Park; Ke Hao; Jeff Boyd; Anil K Sood; David M Gershenson; Ross S Berkowitz; Samuel C Mok; Michael J Birrer Journal: Adv Exp Med Biol Date: 2008 Impact factor: 2.622
Authors: Martin Köbel; Steve E Kalloger; Sandra Lee; Máire A Duggan; Linda E Kelemen; Leah Prentice; Kimberly R Kalli; Brooke L Fridley; Daniel W Visscher; Gary L Keeney; Robert A Vierkant; Julie M Cunningham; Christine Chow; Roberta B Ness; Kirsten Moysich; Robert Edwards; Francesmary Modugno; Clareann Bunker; Eva L Wozniak; Elizabeth Benjamin; Simon A Gayther; Aleksandra Gentry-Maharaj; Usha Menon; C Blake Gilks; David G Huntsman; Susan J Ramus; Ellen L Goode Journal: Cancer Epidemiol Biomarkers Prev Date: 2013-07-23 Impact factor: 4.254
Authors: Dana M Roque; Stefania Bellone; Diana P English; Natalia Buza; Emiliano Cocco; Sara Gasparrini; Ileana Bortolomai; Elena Ratner; Dan-Arin Silasi; Masoud Azodi; Thomas J Rutherford; Peter E Schwartz; Alessandro D Santin Journal: Cancer Date: 2013-04-12 Impact factor: 6.860