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Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer
Joint Authors
Caduff, Rosmarie
Buehler, Michelle
Leboucq, Alix
Jacob, Francis
Fink, Daniel
Goldstein, Darlene R.
Heinzelmann, Viola
Tse, Brian W. C.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Seeking new biomarkers for epithelial ovarian cancer, the fifth most common cause of death from all cancers in women and the leading cause of death from gynaecological malignancies, we performed a meta-analysis of three independent studies and compared the results in regard to clinicopathological parameters.
This analysis revealed that GAS6 was highly expressed in ovarian cancer and therefore was selected as our candidate of choice.
GAS6 encodes a secreted protein involved in physiological processes including cell proliferation, chemotaxis, and cell survival.
We performed immunohistochemistry on various ovarian cancer tissues and found that GAS6 expression was elevated in tumour tissue samples compared to healthy control samples (P<0.0001).
In addition, GAS6 expression was also higher in tumours from patients with residual disease compared to those without.
Our data propose GAS6 as an independent predictor of poor survival, suggesting GAS6, both on the mRNA and on the protein level, as a potential biomarker for ovarian cancer.
In clinical practice, the staining of a tumour biopsy for GAS6 may be useful to assess cancer prognosis and/or to monitor disease progression.
American Psychological Association (APA)
Buehler, Michelle& Tse, Brian W. C.& Leboucq, Alix& Jacob, Francis& Caduff, Rosmarie& Fink, Daniel…[et al.]. 2013. Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer. BioMed Research International،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1030213
Modern Language Association (MLA)
Buehler, Michelle…[et al.]. Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer. BioMed Research International No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1030213
American Medical Association (AMA)
Buehler, Michelle& Tse, Brian W. C.& Leboucq, Alix& Jacob, Francis& Caduff, Rosmarie& Fink, Daniel…[et al.]. Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1030213
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1030213