Open Access Research article

A systems analysis of the chemosensitivity of breast cancer cells to the polyamine analogue PG-11047

Wen-Lin Kuo1*, Debopriya Das1, Safiyyah Ziyad1, Sanchita Bhattacharya1, William J Gibb1, Laura M Heiser1, Anguraj Sadanandam1, Gerald V Fontenay1, Zhi Hu2, Nicholas J Wang1, Nora Bayani1, Heidi S Feiler1, Richard M Neve1, Andrew J Wyrobek1, Paul T Spellman1, Laurence J Marton3 and Joe W Gray12

Author Affiliations

1 Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA

2 Comprehensive Cancer Center, University of California, San Francisco, California, USA

3 Progen Pharmaceuticals, Redwood City, California, USA

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BMC Medicine 2009, 7:77  doi:10.1186/1741-7015-7-77

Published: 14 December 2009

Additional files

Additional file 1:

Growth inhibition response (GI50, TGI) to PG-11047 and molecular features of breast cell lines. GI50 and TGI for members of the breast cell lines calculated as describe in Methods are listed in decreasing GI50 sensitivity with subtype classification and ER/PR/HER2 status reported by Neve et al. [14] and Spellman et al. (personal communication).

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Additional file 2:

Statistically significant mRNA markers of response to PG-11047 (top 250 genes). Markers generated by correlation of growth inhibition (GI50) sensitivity with expression data of the cell lines reported by Neve et al[14].

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Additional file 3:

Statistically significant genomic markers (BAC clones) of response to PG-11047. Markers generated by correlation of growth inhibition (GI50) sensitivity with array CGH data of the cell lines reported by Neve et al. [14]. Bold text indicates clones located at or near four of the predictive markers. The chromosomal locations of these four predictive markers are also listed.

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Additional file 4:

Statistically significant protein markers of response to PG-11047. Markers generated by correlation of growth inhibition (GI50) sensitivity with Western profile data of the cell lines reported by Neve et al. [14].

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Open Data