Search for dissertations about: "introduction on prostate cancer"
Showing result 1 - 5 of 17 swedish dissertations containing the words introduction on prostate cancer.
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1. Surveillance and follow-up of early prostate cancer
Abstract : Active surveillance (AS) for prostate cancer was introduced to address overtreatment resulting from prostate-specific antigen (PSA) testing. Despite advancements such as Magnetic Resonance Imaging (MRI) and targeted biopsies, PSA remains crucial in prostate cancer diagnostics, leading to ongoing challenges of overdiagnosis and overtreatment. READ MORE
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2. Adenovirus-mediated CD40 Ligand Immunotherapy of Prostate and Bladder Cancer
Abstract : Cancer immunotherapy aims at reversing the immunosuppressive tumor environment and enhancing anti-tumor immunity. This thesis comprises studies on murine models for prostate (TRAMP-C2) and bladder (MB49) cancer with the aim to explore if the introduction of an adenoviral vector expressing CD40 ligand (AdCD40L) can induce anti-tumor immune responses. READ MORE
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3. Natural history and prognostic factors in localized prostate cancer
Abstract : The natural history of localized prostate cancer is not fully understood. In most patients the tumor will never progress to a lethal disease, while a subset of patients will ultimately die of the disease. READ MORE
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4. Predicting prostate cancer : on the use of biomarkers in prostate cancer diagnostics
Abstract : Aims: The aims of this thesis work were to answer the following questions. Paper I: How prevalent is testing and retesting with prostate-specific antigen (PSA)?; Paper II: Is a genetic score based on single-nucleotide polymorphisms (SNPs) informative regarding the risk of prostate cancer (PCa) in men with low PSA?; Paper III: Are the commercially available tests Prostate Health Index (PHI) and the four-kallikrein panel comparable in aiding biopsy decisions?; Paper IV: Do commonly used medications affect PSA and the risk of PCa? Methods: In Paper I and Paper IV, the population-based PSA cohort STHLM0 was used together with registry-based data. READ MORE
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5. cancer subtype identification using cluster analysis on high-dimensional omics data
Abstract : Identification and prediction of cancer subtypes are important parts in the development towards personalized medicine. By tailoring treatments, it is possible to decrease unnecessary suffering and reduce costs. Since the introduction of next generation sequencing techniques, the amount of data available for medical research has increased rapidly. READ MORE