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A combined blood based gene expression and plasma protein abundance signature for diagnosis of epithelial ovarian cancer - a study of the OVCAD consortium

  • Dietmar Pils1, 2Email author,
  • Dan Tong1,
  • Gudrun Hager1,
  • Eva Obermayr1,
  • Stefanie Aust1,
  • Georg Heinze3,
  • Maria Kohl3,
  • Eva Schuster1,
  • Andrea Wolf1,
  • Jalid Sehouli4,
  • Ioana Braicu4,
  • Ignace Vergote5,
  • Toon Van Gorp5, 6,
  • Sven Mahner7,
  • Nicole Concin8,
  • Paul Speiser1 and
  • Robert Zeillinger1, 2
BMC Cancer201313:178

DOI: 10.1186/1471-2407-13-178

Received: 25 July 2012

Accepted: 18 March 2013

Published: 3 April 2013

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Open Peer Review reports

Pre-publication versions of this article and author comments to reviewers are available by contacting info@biomedcentral.com.

Original Submission
25 Jul 2012 Submitted Original manuscript
Resubmission - Version 2
Submitted Manuscript version 2
Resubmission - Version 3
Submitted Manuscript version 3
22 Aug 2012 Reviewed Reviewer Report - Sergei Moshkovskii
23 Nov 2012 Reviewed Reviewer Report - Ian Cree
17 Dec 2012 Author responded Author comments - Dietmar Pils
Resubmission - Version 4
17 Dec 2012 Submitted Manuscript version 4
20 Dec 2012 Reviewed Reviewer Report - Sergei Moshkovskii
13 Jan 2013 Reviewed Reviewer Report - Ian Cree
7 Feb 2013 Author responded Author comments - Dietmar Pils
Resubmission - Version 5
7 Feb 2013 Submitted Manuscript version 5
Publishing
18 Mar 2013 Editorially accepted
3 Apr 2013 Article published 10.1186/1471-2407-13-178

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article and author comments to reviewers are available by contacting info@biomedcentral.com. All previous versions of the manuscript and all author responses to the reviewers are also available.

You can find further information about the peer review system here.

Authors’ Affiliations

(1)
Department of Obstetrics and Gynecology, Molecular Oncology Group, Medical University of Vienna
(2)
Ludwig Boltzmann Cluster “Translational Oncology”, General Hospital Vienna, European Union
(3)
Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna
(4)
Department of Gynecology, Campus Virchow Klinikum, Charite Medical University
(5)
Department of Obstetrics and Gynecology, Division of Gynecological Oncology, University Hospitals Leuven, Katholieke Universiteit Leuven
(6)
Division of Gynaecological Oncology, Department of Obstetrics and Gynaecology, MUMC+, GROW – School for Oncology and Developmental Biology
(7)
Department of Gynecology and Gynecologic Oncology, University Medical Center Hamburg-Eppendorf
(8)
Department of Gynecology and Obstetrics, Innsbruck Medical University

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