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Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer

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 pa...

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Autores principales: Buehler, Michelle, Tse, Brian, Leboucq, Alix, Jacob, Francis, Caduff, Rosmarie, Fink, Daniel, Goldstein, Darlene R., Heinzelmann-Schwarz, Viola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3710590/
https://www.ncbi.nlm.nih.gov/pubmed/23878800
http://dx.doi.org/10.1155/2013/238284
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author Buehler, Michelle
Tse, Brian
Leboucq, Alix
Jacob, Francis
Caduff, Rosmarie
Fink, Daniel
Goldstein, Darlene R.
Heinzelmann-Schwarz, Viola
author_facet Buehler, Michelle
Tse, Brian
Leboucq, Alix
Jacob, Francis
Caduff, Rosmarie
Fink, Daniel
Goldstein, Darlene R.
Heinzelmann-Schwarz, Viola
author_sort Buehler, Michelle
collection PubMed
description 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.
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spelling pubmed-37105902013-07-22 Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer Buehler, Michelle Tse, Brian Leboucq, Alix Jacob, Francis Caduff, Rosmarie Fink, Daniel Goldstein, Darlene R. Heinzelmann-Schwarz, Viola Biomed Res Int Research Article 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. Hindawi Publishing Corporation 2013 2013-06-27 /pmc/articles/PMC3710590/ /pubmed/23878800 http://dx.doi.org/10.1155/2013/238284 Text en Copyright © 2013 Michelle Buehler et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Buehler, Michelle
Tse, Brian
Leboucq, Alix
Jacob, Francis
Caduff, Rosmarie
Fink, Daniel
Goldstein, Darlene R.
Heinzelmann-Schwarz, Viola
Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer
title Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer
title_full Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer
title_fullStr Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer
title_full_unstemmed Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer
title_short Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer
title_sort meta-analysis of microarray data identifies gas6 expression as an independent predictor of poor survival in ovarian cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3710590/
https://www.ncbi.nlm.nih.gov/pubmed/23878800
http://dx.doi.org/10.1155/2013/238284
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