Search for dissertations about: "genomic aberrations"
Showing result 1 - 5 of 81 swedish dissertations containing the words genomic aberrations.
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1. Development and Application of Human Chromosome 22 Genomic Microarray : Chromosome 22-Associated Disorders Analyzed by Array-Based Comparative Genomic Hybridization
Abstract : The array-based form of comparative genomic hybridization (array-CGH) is a new methodology that has shown to be of significant importance. This thesis focuses on the development of array-CGH with the aim to define candidate regions/genes on chromosome 22 in a wide spectrum of cancer-related conditions. READ MORE
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2. Development and Application of Microarray-Based Comparative Genomic Hybridization : Analysis of Neurofibromatosis Type-2, Schwannomatosis and Related Tumors
Abstract : Neurofibromatosis type-2 (NF2) is an autosomal dominant disorder with the clinical hallmark of bilateral eighth cranial nerve schwannomas. However, the diagnostic criterion is complicated by the presence of a variable phenotype, with the severe form presenting with additional tumors such as peripheral schwannoma, meningioma and ependymoma. READ MORE
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3. Telomere length as prognostic parameter in chronic lymphocytic leukemia
Abstract : B-cell chronic lymphocytic leukemia (B-CLL) is the most common leukemia among the adult population in western countries and accounts for 30-40% of all leukemias. With survival time ranging from months to decades, the clinical course of individual CLL patients is highly variable. READ MORE
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4. Chromosomal Instability and Genomic Amplification in Bone and Soft Tissue Tumours
Abstract : Acquired genetic abnormalities are found in all types of malignant tumours and may contribute to neoplastic processes by altering protein structure or dosage. Many bone and soft tissue tumours (BSTT) are characterised by complex patterns of chromosome changes, including extensive intratumour heterogeneity and amplification of DNA sequences. READ MORE
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5. Integrative genomic and survival analysis of breast tumors
Abstract : With the continued accumulation of genomic data at ever increasing resolution the challenge ahead lies in reading out meaningful clinical/biological information form the data that can contribute to a better understanding of the cancerous process. The need for novel approaches, new statistical methods is therefore strong. READ MORE