Breast Cancer Research

official impact factor 5.79

Open Access Highly Access Research article

Aging impacts transcriptomes but not genomes of hormone-dependent breast cancers

Christina Yau1, Vita Fedele2, Ritu Roydasgupta2, Jane Fridlyand2, Alan Hubbard1, Joe W Gray2, Karen Chew2, Shanaz H Dairkee3, Dan H Moore2,3, Francesco Schittulli4, Stefania Tommasi4, Angelo Paradiso4, Donna G Albertson2 and Christopher C Benz1,2*

Author Affiliations

1 Buck Institute for Age Research, 8001 Redwood Boulevard, Novato, CA 94945, USA

2 University of California Comprehensive Cancer Center, 2340 Sutter Street, University of California, San Francisco, CA 94143, USA

3 California Pacific Medical Center Research Institute, 475 Brannan Street, San Francisco, CA 94107, USA

4 National Cancer Institute – Bari, via Amendola 209, 70126 Bari, Italy

For all author emails, please log on.

Breast Cancer Research 2007, 9:R59 doi:10.1186/bcr1765

Published: 12 September 2007

Additional files

Additional file 1:

A .pdf file containing a figure showing a comparison between the two age cohorts in array CGH parameters: number of break points, number of chromosomes with break points, number of amplifications, number of chromosomes with amplifications, whole chromosome changes, the fraction of genome gained, the fraction of genome lost and the fraction of genome altered.

Format: PDF Size: 42KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

An Excel file containing a table presenting the gene sets used for GSEA. All gene sets were mapped to corresponding UniGene symbols for input into the GSEA software.

Format: XLS Size: 62KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 3:

An Excel file containing a table presenting the PAM-derived age signature selected on the bases of minimizing individual cross-validation errors for both old and young cohorts. The 'o score' and the 'y score' represents a probe's contribution to the classification into the corresponding age cohorts.

Format: XLS Size: 28KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 4:

An Excel file containing a table presenting the PAM-derived PR signature selected on the bases of minimizing individual cross-validation errors for both PR-negative and PR-positive groups. The 'neg score' and the 'pos score' for each probe denotes its contribution to the classification of the PR status of a particular tumor.

Format: XLS Size: 24KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data