Gene expression profiles of serous, endometrioid, and clear cell subtypes of ovarian and endometrial cancer.
Kristin K. Zorn,Tomas Bonome,Lisa Gangi,Gadisetti V.R. Chandramouli,Christopher S. Awtrey,Ginger J. Gardner,J. Carl Barrett,Jeff Boyd,Michael J. Birrer +8 more
TL;DR: 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 to clear cell cancers, which show a remarkable similarity in gene expression profile across organs and could not be statistically distinguished.
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Abstract: 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.
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Rethinking ovarian cancer: recommendations for improving outcomes
Sebastian Vaughan,Jermaine Coward,Robert C. Bast,Andrew Berchuck,Jonathan S. Berek,James D. Brenton,George Coukos,Christopher C. Crum,Ronny Drapkin,Dariush Etemadmoghadam,Michael Friedlander,Hani Gabra,Stan B. Kaye,Christopher 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.L. Bowtell,Frances R. Balkwill +25 more
TL;DR: Nine major recommendations that should be taken to improve the outcome for women with ovarian cancer are outlined in this Opinion article.
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Junzo Hamanishi,Masaki Mandai,Takafumi Ikeda,Manabu Minami,Atsushi Kawaguchi,Toshinori Murayama,Masashi Kanai,Yukiko Mori,Shigemi Matsumoto,Shunsuke Chikuma,Noriomi Matsumura,Kaoru Abiko,Tsukasa Baba,Ken Yamaguchi,Akihiko Ueda,Yuko Hosoe,Satoshi Morita,Masayuki Yokode,Akira Shimizu,Tasuku Honjo,Ikuo Konishi +20 more
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TL;DR: Age, PS, tumor histology, and residual tumor volume were independent predictors of prognosis in patients with stage III EOC and can be used to identify patients with poor prognosis and to design future tailored randomized clinical trials.
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Ovarian Carcinoma Subtypes Are Different Diseases: Implications for Biomarker Studies
Martin Köbel,Martin Köbel,Steve E. Kalloger,Niki Boyd,Steven McKinney,Erika Mehl,Chana Palmer,Samuel Leung,Nathan J. Bowen,Diana N. Ionescu,Ashish Rajput,Leah M Prentice,Dianne Miller,Jennifer L. Santos,Kenneth D. Swenerton,C. Blake Gilks,David G. Huntsman +16 more
TL;DR: The association of biomarker expression with survival varies substantially between subtypes, and can easily be overlooked in whole cohort analyses.
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Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary
Ahmed Ashour Ahmed,Dariush Etemadmoghadam,Jillian Temple,Andy G. Lynch,Mohamed Riad,Raghwa Sharma,Colin J.R. Stewart,Sian Fereday,Carlos Caldas,Anna deFazio,David D.L. Bowtell,David D.L. Bowtell,James D. Brenton +12 more
TL;DR: It is concluded that mutant TP53 is a driver mutation in the pathogenesis of HGPSC cancers because it is almost invariably present in HGPSCs, and is not of substantial prognostic or predictive significance.
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•Journal Article
Gene expression in ovarian cancer reflects both morphology and biological behavior, distinguishing clear cell from other poor-prognosis ovarian carcinomas.
Donald R. Schwartz,Sharon L.R. Kardia,Kerby Shedden,Rork Kuick,George Michailidis,Jeremy M. G. Taylor,David E. Misek,Rong Wu,Yali Zhai,Danielle M. Darrah,Heather Reed,Lora Hedrick Ellenson,Thomas J. Giordano,Eric R. Fearon,Samir M. Hanash,Kathleen R. Cho +15 more
TL;DR: The data indicate that gene expression patterns in ovarian adenocarcinomas reflect both morphological features and biological behavior, and provide a foundation for the development of new type-specific diagnostic strategies and treatments for ovarian cancer.
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