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A molecular map of mesenchymal tumors

Stephen R Henderson1 email, David Guiliano* 1,2 email, Nadege Presneau* 1 email, Sean McLean1 email, Richard Frow1,3 email, Sonja Vujovic1 email, John Anderson4 email, Neil Sebire5 email, Jeremy Whelan6 email, Nick Athanasou7 email, Adrienne M Flanagan3 email and Chris Boshoff1 email

1Cancer Research UK, Viral Oncology Group, Wolfson Institute for Biomedical Research, Gower Street, University College London, London, WC1E 6BT, UK

2Division of Cell and Molecular Biology, Biochemistry Building, Faculty of Life Sciences, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK

3Institute of Orthopaedics and Department of Pathology, Royal National Orthopaedic Hospital, Stanmore, Middlesex, HA7 4LP, UK

4Unit of Molecular Haematology and Cancer Biology, Institute of Child Health and Great Ormond Street Hospital, Guildford Street, London, WC1N 1EH, UK

5Department of Pathology, Great Ormond Street Hospital for Children, London, WC1N 3JH, UK

6London Bone and Soft Tissue Tumour Service, University College London Hospitals, London, UK

7Department of Pathology, Nuffield Department of Orthopaedic Surgery, Nuffield Orthopaedic Centre, Headington, Oxford, OX3 7LD, UK

author email corresponding author email* Contributed equally

Genome Biology 2005, 6:R76doi:10.1186/gb-2005-6-9-r76

Published: 26 August 2005

Subject areas: Cancer, Medicine, Genome studies, Bioinformatics


Additional files

Additional data file 1:

Average hierarchical clustering of tumor samples. The same set of inter-sample distances were used as in Figure 1. The cophenetic correlation of this clustering, a measure of the summary quality, was 0.71.

Format: PDF Size: 25KB Download file

This file can be viewed with: Adobe Acrobat Reader

Additional data file 2:

Supplementary information on the genes shown in Figures 3 and 4 in Worksheet S2A and S2B respectively. This includes references to the function of genes that lend support to our model feature selection, plus references the previously reported role of many genes in cancer.

Format: XLS Size: 217KB Download file

This file can be viewed with: Microsoft Excel Viewer

Additional data file 3:

Clinical and pathological details of all samples used in this study.

Format: XLS Size: 23KB Download file

This file can be viewed with: Microsoft Excel Viewer


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