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Predicting response and resistance to endocrine therapy : Profiling patients on aromatase inhibitors

โœ Scribed by William R. Miller; Alexey Larionov; Thomas J. Anderson; John R. Walker; Andreas Krause; Dean B. Evans; J. Michael Dixon


Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
402 KB
Volume
112
Category
Article
ISSN
0008-543X

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โœฆ Synopsis


Selection for endocrine therapy requires the identification of markers that accurately predict response/resistance. In this report, the authors review their published work and abstract results from an unpublished study to illustrate the potential of RNA microarrays from sequential tumor biopsies from patients who were offered neoadjuvant endocrine therapy treatment to identify the molecular signatures associated with tumor sensitivity/resistance. Clinical response was assessed by serial ultrasound measurements in postmenopausal women with large, primary, estrogen receptor-rich breast cancers who received neoadjuvant treatment with letrozole for 3 months. Tumor RNA from biopsies that were taken before and after 14 days of treatment was hybridized on Affymetrix U133A chips to determine expression profiles. Classic estrogen-dependent genes and markers of proliferation were changed with treatment in most tumors but were poorly associated with clinical response (they frequently were changed in letrozole-resistant tumors). Differential expression patterns could be used to identify heterogeneity in clinically resistant tumors. The results indicated that molecular profiling of early changes with letrozole treatment offers the opportunity to distinguish between clinically responsive and nonresponsive tumors and provides important information about the heterogeneity of endocrine resistance.


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Preclinical modeling of endocrine respon
โœ Luciana F. Macedo; Gauri Sabnis; Angela Brodie ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 540 KB

The authors developed a breast cancer intratumoral aromatase model system to compare the antitumor efficacy of several aromatase inhibitors (AIs) and antiestrogens (AEs). Although the AI letrozole caused sustained growth inhibition, tumors eventually began to grow, even when treatment was maintained