Breast Cancer Research

official impact factor 5.79

Open Access Research article

Low E2F1 transcript levels are a strong determinant of favorable breast cancer outcome

Vincent Vuaroqueaux1*, Patrick Urban1, Martin Labuhn2, Mauro Delorenzi3, Pratyaksha Wirapati4,5, Christopher C Benz6, Renata Flury7, Holger Dieterich8, Frédérique Spyratos9, Urs Eppenberger1 and Serenella Eppenberger-Castori1

Author Affiliations

1 Stiftung Tumorbank Basel, Lörracherstrasse 50, 4125 Riehen, Switzerland

2 OncoScore AG, Lörracherstrasse 50, 4125 Riehen, Switzerland

3 Swiss Institute for Experimental Cancer Research and Swiss Institute of Bioinformatics, Boveresses 155, Office D208, CH-1006 Epalinges, Switzerland

4 Chemin des Boveresses 155, CH-1066 Epalinges, Switzerland

5 Room 2021, Genopode, UNIL Sorge, CH-1015 Lausanne, Switzerland

6 Therapeutics Buck Institute for Age Research 8001 Redwood Blvd., Novato, CA 94945, USA

7 Fachärztin FMH für Pathologie, Chefärztin Pathologie, Brauerstrasse 15,8401 Winterthur, Switzerland

8 Women's Hospital and Breast Cancer Center, Therese-Herzog-Weg 2, 79618 Rheinfelden, Germany

9 Laboratoire d'Oncogénétique/INSERM U735, Centre René Huguenin, 35 rue Dailly, 92210 St-Cloud, France

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Breast Cancer Research 2007, 9:R33 doi:10.1186/bcr1681

Published: 29 May 2007

Additional files

Additional File 1:

A Word file containing a table presenting the treatment distribution according to the E2F1 status in both data sets.

Format: DOC Size: 34KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional File 2:

A pdf file containing a figure showing Kaplan–Meier analysis (MFS) using E2F1 (30th percentile) performed in data subsets with defined adjuvant treatments: (a) none, (b) hormone, (c) chemotherapy and (d) combined.

Format: PDF Size: 110KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data