Predicting Breast Cancer Endocrine Responsiveness Using Molecular Imaging
نویسندگان
چکیده
منابع مشابه
Predicting Breast Cancer Endocrine Responsiveness Using Molecular Imaging.
The estrogen receptor (ER) is expressed on the vast majority of newly diagnosed breast cancers, yet not all ER-positive tumors will respond to endocrine therapy. Selecting patients for endocrine therapy can be considered as a series of predictive tests: does the tumor express the ER and if so, will the endocrine therapy interact with the target to produce a response? These are both challenges t...
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Endocrine therapy is one of the most effective treatment strategies for breast cancer. However, in the adjuvant setting, up to 40% to 50% of patients with estrogen receptor (ER)-positive breast cancers relapse despite these interventions. Although ER and HER2 analysis has increased our ability to predict which patients will benefit from endocrine therapy, further improvement is needed, most spe...
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1 IDIS, Complejo Hospitalario Universitario, Universidade de Santiago de Compostela, 15706 Santiago de Compostela, Spain 2 Instituto de Instrumentación para Imagen Molecular, Universidad Politécnica de Valencia (UPV) and Consejo Superior de Investigaciones Cient́ıficas (CSIC), 46022 València, Spain 3Nuclear Medicine Department, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, 10...
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The success of breast cancer therapy is ultimately defined by clinical endpoints such as survival. It is valuable to have biomarkers that can predict the most efficacious therapies or measure response to therapy early in the course of treatment. Molecular imaging has a promising role in complementing and overcoming some of the limitations of traditional biomarkers by providing the ability to pe...
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ژورنال
عنوان ژورنال: Current Breast Cancer Reports
سال: 2011
ISSN: 1943-4588,1943-4596
DOI: 10.1007/s12609-011-0053-5