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BioMed Research International
Volume 2013 (2013), Article ID 238284, 9 pages
http://dx.doi.org/10.1155/2013/238284
Research Article

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

1Translational Research Group, University Hospital Zurich, 8091 Zurich, Switzerland
2Ovarian Cancer Group, Adult Cancer Program, Lowy Cancer Research Centre, Prince of Wales and School of Women’s and Children’s Health Clinical School, University of New South Wales, Sydney, NSW 2052, Australia
3Mathematics Institute for Analysis and Applications (MATHAA), EPFL, 1015 Lausanne, Switzerland
4Gynecological Research Group, University Hospital Basel, 4031 Basel, Switzerland
5Institute of Clinical Pathology, University Hospital Zurich, 8091 Zurich, Switzerland
6Department of Gynecology, University Hospital Zurich, 8091 Zurich, Switzerland

Received 18 February 2013; Revised 8 May 2013; Accepted 30 May 2013

Academic Editor: David J. Yang

Copyright © 2013 Michelle Buehler et al. 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.

How to Cite this Article

Michelle Buehler, Brian Tse, Alix Leboucq, et al., “Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer,” BioMed Research International, vol. 2013, Article ID 238284, 9 pages, 2013. doi:10.1155/2013/238284