Literature DB >> 19675076

Estrogen receptor 1 mRNA is a prognostic factor in ovarian carcinoma: determination by kinetic PCR in formalin-fixed paraffin-embedded tissue.

Silvia Darb-Esfahani1, Ralph M Wirtz, Bruno V Sinn, Jan Budczies, Aurelia Noske, Wilko Weichert, Areeg Faggad, Susanne Scharff, Jalid Sehouli, Guelten Oskay-Ozcelik, Claudio Zamagni, Pierandrea De Iaco, Andrea Martoni, Manfred Dietel, Carsten Denkert.   

Abstract

Epidemiological and cell culture studies indicate that ovarian carcinoma growth is dependent on estrogen stimulation. However, possibly due to the lack of a reliable biomarker that helps to select patients according to prognostically relevant estrogen receptor (ER) levels, clinical trials using anti-estrogenic therapeutics in ovarian carcinoma have had inconsistent results. Therefore, we tested if ER expression analysis by a quantitative method might be useful in this regard in formalin-fixed paraffin-embedded (FFPE) tissue. In a study group of 114 primary ovarian carcinomas expression of estrogen receptor 1 (ESR1) mRNA was analyzed using a new method for RNA extraction from FFPE tissue that is based on magnetic beads, followed by kinetic PCR. The prognostic impact of ESR1 mRNA expression was investigated and compared to ERalpha protein expression as determined by immunohistochemistry. In univariate survival analysis the expression level of ESR1 mRNA was a significant positive prognostic factor for patient survival (hazard ratio (HR) 0.230 (confidence interval (CI) 0.102-0.516), P=0.002). ERalpha protein expression was correlated to ESR1 mRNA expression (P=0.0001); however, ERalpha protein expression did not provide statistically significant prognostic information. In multivariate analysis, ESR1 mRNA expression emerged as a prognostic factor, independent of stage, grade, residual tumor mass, age, and ERalpha protein expression (HR 0.227 (CI 0.078-0.656), P=0.006). Our results indicate that the determination of ESR1 levels by kinetic PCR may be superior to immunohistochemical methods in assessment of biologically relevant levels of ER expression in ovarian carcinoma, and is feasible in routinely used FFPE tissue.

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Year:  2009        PMID: 19675076     DOI: 10.1677/ERC-08-0338

Source DB:  PubMed          Journal:  Endocr Relat Cancer        ISSN: 1351-0088            Impact factor:   5.678


  16 in total

1.  HER2-positive mucinous adenocarcinomas of the ovary have an expansile invasive pattern associated with a favorable prognosis.

Authors:  Sang Kyum Kim; Nam Hoon Cho
Journal:  Int J Clin Exp Pathol       Date:  2014-06-15

2.  Prediction of Response to Neoadjuvant Chemotherapy: New Biomarker Approaches and Concepts.

Authors:  Carsten Denkert; Bruno Valentin Sinn; Yasmin Issa; Berit Maria Müller; Andrea Maisch; Michael Untch; Gunter von Minckwitz; Sibylle Loibl
Journal:  Breast Care (Basel)       Date:  2011-08-29       Impact factor: 2.860

Review 3.  The different roles of ER subtypes in cancer biology and therapy.

Authors:  Christoforos Thomas; Jan-Åke Gustafsson
Journal:  Nat Rev Cancer       Date:  2011-07-22       Impact factor: 60.716

4.  Prognostic impact of HER3 based on protein and mRNA expression in high-grade serous ovarian carcinoma.

Authors:  Ulrike Unger; Carsten Denkert; Ioana Braicu; Jalid Sehouli; Manfred Dietel; Sibylle Loibl; Silvia Darb-Esfahani
Journal:  Virchows Arch       Date:  2016-12-02       Impact factor: 4.064

5.  Anterior gradient protein 2 (AGR2) is an independent prognostic factor in ovarian high-grade serous carcinoma.

Authors:  S Darb-Esfahani; F Fritzsche; G Kristiansen; W Weichert; J Sehouli; I Braicu; M Dietel; C Denkert
Journal:  Virchows Arch       Date:  2012-07-03       Impact factor: 4.064

6.  Vascular endothelial growth factor C mRNA expression is a prognostic factor in epithelial ovarian cancer as detected by kinetic RT-PCR in formalin-fixed paraffin-embedded tissue.

Authors:  Bruno V Sinn; Silvia Darb-Esfahani; Ralph M Wirtz; Areeg Faggad; Wilko Weichert; Ann-Christin Buckendahl; Aurelia Noske; Berit Maria Müller; Jan Budczies; Jalid Sehouli; Elena I Braicu; Manfred Dietel; Carsten Denkert
Journal:  Virchows Arch       Date:  2009-11-13       Impact factor: 4.064

7.  An integrated network of microRNA and gene expression in ovarian cancer.

Authors:  Andrew Quitadamo; Lu Tian; Benika Hall; Xinghua Shi
Journal:  BMC Bioinformatics       Date:  2015-03-18       Impact factor: 3.169

8.  Hormone-receptor expression and ovarian cancer survival: an Ovarian Tumor Tissue Analysis consortium study.

Authors:  Weiva Sieh; Martin Köbel; Teri A Longacre; David D Bowtell; Anna deFazio; Marc T Goodman; Estrid Høgdall; Suha Deen; Nicolas Wentzensen; Kirsten B Moysich; James D Brenton; Blaise A Clarke; Usha Menon; C Blake Gilks; Andre Kim; Jason Madore; Sian Fereday; Joshy George; Laura Galletta; Galina Lurie; Lynne R Wilkens; Michael E Carney; Pamela J Thompson; Rayna K Matsuno; Susanne Krüger Kjær; Allan Jensen; Claus Høgdall; Kimberly R Kalli; Brooke L Fridley; Gary L Keeney; Robert A Vierkant; Julie M Cunningham; Louise A Brinton; Hannah P Yang; Mark E Sherman; Montserrat García-Closas; Jolanta Lissowska; Kunle Odunsi; Carl Morrison; Shashikant Lele; Wiam Bshara; Lara Sucheston; Mercedes Jimenez-Linan; Kristy Driver; Jennifer Alsop; Marie Mack; Valerie McGuire; Joseph H Rothstein; Barry P Rosen; Marcus Q Bernardini; Helen Mackay; Amit Oza; Eva L Wozniak; Elizabeth Benjamin; Aleksandra Gentry-Maharaj; Simon A Gayther; Anna V Tinker; Leah M Prentice; Christine Chow; Michael S Anglesio; Sharon E Johnatty; Georgia Chenevix-Trench; Alice S Whittemore; Paul D P Pharoah; Ellen L Goode; David G Huntsman; Susan J Ramus
Journal:  Lancet Oncol       Date:  2013-07-09       Impact factor: 41.316

9.  Amplification Target ADRM1: Role as an Oncogene and Therapeutic Target for Ovarian Cancer.

Authors:  Marlena S Fejzo; Lee Anderson; Erika M von Euw; Ondrej Kalous; Nuraly K Avliyakulov; Michael J Haykinson; Gottfried E Konecny; Richard S Finn; Dennis J Slamon
Journal:  Int J Mol Sci       Date:  2013-02-01       Impact factor: 5.923

10.  Cutoff Finder: a comprehensive and straightforward Web application enabling rapid biomarker cutoff optimization.

Authors:  Jan Budczies; Frederick Klauschen; Bruno V Sinn; Balázs Győrffy; Wolfgang D Schmitt; Silvia Darb-Esfahani; Carsten Denkert
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

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