Log on / register
BioMed Central home | Journals A-Z | Feedback | Support | My details
Open AccessHighly AccessResearch article

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

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

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

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

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

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

author email corresponding author email

Breast Cancer Research 2007, 9:R59doi: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

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

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

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


© 1999-2010 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.