Search for dissertations about: "breast cancer prediction"
Showing result 1 - 5 of 53 swedish dissertations containing the words breast cancer prediction.
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1. Predicting Prognosis and Tamoxifen Response in Breast Cancer. With a special focus on contralateral breast cancer
Abstract : One of the great challenges in breast cancer treatment today is to customize adjuvant treatment to each patient’s individual needs. To do this it is necessary to learn more about the prognostic and treatment predictive factors that determine the risk of relapse and response to a certain mode of treatment. READ MORE
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2. Genetic characterization of malignant melanoma and breast cancer
Abstract : Malignant melanoma and breast cancer are common malignant diseases characterized by considerable heterogeneity with respect to genetics, histopathology, biology and clinical course. In breast cancer, two major susceptibility genes have been identified, BRCA1 and BRCA2, which account for a significant proportion of high-risk breast cancer families. READ MORE
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3. Patient-derived scaffolds as a 3D model for breast cancer
Abstract : Breast cancer is the most common cancer form in women worldwide. Many patients will have recurrent disease and more efficient targeted therapies are needed. The tumor microenvironment is a heterogenous complex mix of cells and components influencing critical cancer processes including progression, signaling and invasion. READ MORE
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4. Genomic Profiling, Mutations and Deranged Signaling in Esophageal Cancer and Hereditary Colorectal Cancer
Abstract : Esophageal cancer and colorectal cancer represents two major types of gastrointestinal tumors. Though refined surgery and introduction of novel chemotherapeutics have improved outcome, more than 2500 Swedes die from these diseases every year. Novel markers for early diagnosis, prognosis and treatment prediction are therefore needed. READ MORE
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5. High-risk breast cancer: From biology to personalized therapeutic strategies
Abstract : Adjuvant treatment regimens for breast cancer are primarily based on patient- and tumor-related factors, e.g. patient menopausal status, tumor stage and histological grade, and the status of molecular tumor markers (HER2/neu and the estrogen receptor). READ MORE