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This version published online on October 20, 2005
Endocrinology, doi:10.1210/en.2005-0617
A more recent version of this article appeared on February 1, 2006
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Submitted on May 23, 2005
Accepted on October 12, 2005

ESTRADIOL REGULATES DIFFERENT GENES IN HUMAN BREAST TUMOR XENOGRAFTS COMPARED TO THE IDENTICAL CELLS IN CULTURE

Djuana M. E. Harvell*, Jennifer K. Richer, D. Craig Allred, Carol A. Sartorius, and Kathryn B. Horwitz

Department of Medicine, Division of Endocrinology, and Department of Pathology, University of Colorado Health Sciences Center at Fitzsimons, Aurora, Colorado; Breast Center, Baylor College of Medicine, Houston, Texas

* To whom correspondence should be addressed. E-mail: djuana.harvell{at}uchsc.edu.

In breast cancers, estrogen receptor (ER) levels are highly correlated with response to endocrine therapies. We sought to define mechanisms of estradiol (E) signaling in a solid breast tumor model using gene expression profiling. ER+ T47D-Y human breast cancer cells were grown as xenografts in ovariectomized nude mice under four conditions: i. E for 8 weeks (E); ii. without E for 8 weeks (controls, C); iii. E for 7 weeks followed by 1 week of E withdrawal (Ewd), or iv. E for 8 weeks with Tamoxifen for the last week (E+Tam). E-regulated genes were defined as those that differed significantly between C and E, and/or between E and Ewd. These protocols generated 188 in vivo E-regulated genes that showed two major patterns of regulation. Approximately 46% returned to basal states after Ewd (Class I genes); 53% did not (Class II genes). In addition, more than 70% of Class II regulated genes also failed to reverse in response to Tamoxifen. These genes may be interesting to study hormone resistance issues. A subset of in vivo E-regulated genes appears on lists of clinical "ER discriminator" genes. These may be useful therapeutic targets or markers of E activity. Comparison of in vivo E-regulated genes to those regulated in identical cells in vitro after 6 and 24 h of E treatment demonstrate only 11% overlap. This indicates the extent to which gene expression profiles are uniquely dependent on hormone treatment times and the cellular microenvironment.


Key words: Estrogen Receptors • breast cancer • xenograft models • expression profiling




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