Article
Clinical strategies for rationale combinations of aromatase inhibitors with novel therapies for breast cancer.
Department of Medicine, Royal Marsden Hospital, London SW3 6JJ, UK.
The Journal of Steroid Biochemistry and Molecular Biology (impact factor:
3.05).
106(1-5):180-6.
DOI:10.1016/j.jsbmb.2007.05.019
pp.180-6
Source: PubMed
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Citations (0)
- Cited In (3)
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Article: Factors predictive of response to hormone therapy in breast cancer.
[show abstract] [hide abstract]
ABSTRACT: Approximately half of metastatic breast cancers expressing estrogen and/or progesterone receptors responds to endocrine therapy, and postoperative adjuvant endocrine therapy provides about a 50% reduction in the development of recurrent disease. A number of publications have focused on the correlation of biomarkers, in particular estrogen and progesterone receptors and HER-2/neu status as well as different gene profiles, multigene assays and genetic polymorphisms with response to hormone therapy. The purpose of this article is to review the literature to identify biological markers predictive of response to tamoxifen and aromatase inhibitors. A computerized literature search through Medline and ASCO abstract databases was performed, applying the words "endocrine therapy" and "predictive markers" and each of the following: early and metastatic breast cancer, estrogen receptors, progesterone receptors, HER2/neu, multigene assays, polymorphisms. The last search was updated in June 2007. In the examined literature, biological markers were retrospectively assayed to establish whether such variables were predictive for endocrine therapy efficacy. The role of estrogen receptor content as a predictor of response to endocrine treatment was confirmed: benefit from endocrine treatment was directly proportional to estrogen receptor levels. Progesterone receptor status was only a strong time-dependent prognostic value, and it has not yet been validated as a predictive factor of tamoxifen efficacy. Retrospective clinical data from upfront and sequential studies of aromatase inhibitors were discordant regarding the degree of benefit of these drugs over tamoxifen according to progesterone receptor status. HER-2 positivity was associated with a significantly greater risk of endocrine therapy failure in metastatic and neoadjuvant settings. The current generation of genomic assays for tamoxifen sensitivity all contain a combination of prognostic information that it is difficult to integrate into clinical practice. Available clinical data are inconclusive to support preferential use of aromatase inhibitors over tamoxifen in progesterone-receptor-negative and HER-2-positive tumors, but it was also clear that lower estrogen receptors, lower progesterone receptors, and positive HER-2 are associated with lower responsiveness to any type of endocrine therapy. Tumors overexpressing HER-2 are endocrine resistant and they require the blockage of the HER-2 pathway in addition to estrogen deprivation. Recent molecular studies have shown that endocrine responsiveness is to a large extent influenced by estrogen-receptor-related pathways. In the future, the key to the correct tailoring of hormone therapy will probably be the ability to subtype estrogen-receptor-positive breast cancer.Tumori 94(3):370-83. · 0.86 Impact Factor -
Article: Which tools can I use in daily clinical practice to improve tailoring of treatment for breast cancer? Treatment decision-making in advanced disease.
Annals of Oncology 09/2008; 19 Suppl 7:vii51-7. · 6.43 Impact Factor -
Article: Current perspective - trastuzumab.
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ABSTRACT: This article will review the available clinical data on the efficacy of trastuzumab in the treatment of both early advanced breast cancer.European journal of cancer (Oxford, England: 1990) 12/2008; 45(1):12-8. · 4.12 Impact Factor
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Keywords
aromatase inhibitors
article reviews
clinical data
dual blockade
endocrine responsiveness
endocrine responsivness
ER-dependent gene transcription
estrogen receptor
logical approach
mixed results
mTOR signaling pathway
new drugs
novel drugs
pathways
peptide growth factor signaling
Pre-clinical models
signaling pathways
small molecule tyrosine kinase inhibitors
target various pathways
various signal transduction inhibitors