Salivary gland cancer in Finland: Incidence, histological distribution, outcome and prognostic factors

Salivary gland cancer (SGC) is a rare cancer. The histological classification of SGC is complex and its biological behavior highly variable: it may vary from a low-grade tumor to a high-grade and often fatal malignancy. These circumstances make this cancer a diagnostic and therapeutic challenge. Older age and exposure to ionizing radiation are known risk factors. The mainstay of treatment is surgery combined with adjuvant radiation therapy, when appropriate. In addition to the histological type, the only well known prognostic factor is the TNM classification, which describes the tumor size and the amount of metastases. This study was performed using a full population-based nationwide cohort of SGC patients and tumors diagnosed in Finland in 1991-1996. The annual incidence of SGC in the entire population was, on average, 47.7 per year. By histological re-evaluation of 237 specimens the most frequent histological types were the adenoid cystic carcinoma (n=65; 27%), the mucoepidermoid carcinoma (n=45; 19%) and the acinic cell carcinoma (n=41; 17%). The highest 10-year disease-specific survival rate occurred among patients with acinic cell carcinoma (90%), followed by mucoepidermoid carcinoma (81%) and adenoid cystic carcinoma (60%). A high volume-corrected index (VCI) of Ki-67 correlated with worse survival of patients with SGC. Computer-assisted morphometric analyses of CD34-positive vessels indicated an unfavorable prognosis for patients with mucoepidermoid carcinoma and an association with poor survival among patients with acinic cell carcinoma. A high level of expression of matrix metalloproteinase-9 (MMP-9) showed a trend for a poorer prognosis in salivary duct carcinoma, and a high level of MMP-13 and a low level of MMP-1 had a trend for a poorer prognosis of patients with SGC. A low level of MMP-7 was associated with a poor prognosis of patients with acinic cell and mucoepidermoid carcinoma.

Studies on 68Ga-Based Agents for PET Imaging of Cancer and Inflammation

Studies on ⁶⁸Ga-Based Agents for PET Imaging of Cancer and Inflammation Positron emission tomography (PET) is based on the use of radiolabeled agents and facilitates in vivo imaging of biological processes, such as cancer. Because the detection of cancer is demanding and is often obscured by inflammation, there is a demand for better PET imaging agents. The aim was to preliminarily evaluate new PET agents for imaging cancer and inflammation using experimental models. ⁶⁸Ga-chloride and peptides, ⁶⁸Ga-labeled through 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid (DOTA), targeting matrix metalloproteinase-9 (MMP-9) were tested for tumor imaging. In addition, a ⁶⁸Ga-DOTA-conjugated peptide targeting vascular adhesion protein-1 (VAP-1), was tested for inflammation imaging. The ⁶⁸Ga-based imaging agents described here showed potential features by passing the essential in vitro tests, proceeding further to preclinical in vivo evaluation and being able to visualize the target. The target uptake and target-to-background ratios of ⁶⁸Ga-based agents were, however, not optimal. ⁶⁸Ga-chloride showed slow clearance caused by its binding to blood transferrin. In the case of ⁶⁸Ga-DOTA-peptides low in vivo stability and/or low lipophilicity led to too rapid blood clearance and urinary excretion. The properties of ⁶⁸Ga-labeled peptides are modifiable, as shown with matrix metalloproteinase-9 targeting ligands. In the conclusion of this PhD thesis, ⁶⁸Ga-based agents for PET imaging of cancer and inflammation could be applied in the development of drugs, earlier diagnostics and following-up of the efficacy of therapies.

The regulation and function of collagenase-3 (MMP-13) in cutaneous wound healing and squamous cell carcinoma

Matrix metalloproteinase-13 (MMP-13) is a potent proteolytic enzyme, whose expression has been previously associated with fetal bone development and postnatal bone remodeling and with adult gingival wound healing. MMP-13 is also known to be involved in the growth and invasion of various cancers including squamous cell carcinoma (SCC) of the skin. The aim of this study was to further elucidate the function and regulation of MMP-13 in wound repair and cancer. In this study, it was shown that fetal skin fibroblasts express MMP-13 in response to transforming growth factor-β in a p38 MAP kinase dependent manner. In addition, MMP-13 was found to be expressed in vivo by wound fibroblasts in human fetal skin grafted on SCID mice. Adenovirally delivered expression of MMP-13 enhanced collagen matrix contraction by fibroblasts in vitro in association with altered cytoskeletal structure, enhanced proliferation and survival. These results indicate that MMP-13 is involved in cell-mediated collagen matrix remodeling and suggest a role for MMP-13 in superior matrix remodeling and scarless healing of fetal skin wounds. Using an MMP-13 deficient mouse strain, it was shown that MMP-13 is essential for the normal development of experimental granulation tissue in mice. MMP-13 was implicated in the regulation of myofibroblast function and angiogenesis and the expression of genes involved in cellular proliferation and movement, immune response, angiogenesis and proteolysis. Finally, epidermal mitogen, keratinocyte growth factor (KGF) was shown to suppress the malignant properties of skin SCC cells by downregulating the expression of several target genes with potential cancer promoting properties, including MMP-13, and by reducing SCC cell invasion. These results provide evidence that MMP-13 potently regulates cell viability, myofibroblast function and angiogenesis associated with wound healing and cancer. In addition, fibroblasts expressing MMP-13 show high collagen reorganization capacity. Moreover, the results suggest that KGF mediates the anti-cancer effects on skin SCC

Solving large sparse linear systems over the field GF(2)

Nowadays problem of solving sparse linear systems over the field GF(2) remain as a challenge. The popular approach is to improve existing methods such as the block Lanczos method (the Montgomery method) and the Wiedemann-Coppersmith method. Both these methods are considered in the thesis in details: there are their modifications and computational estimation for each process. It demonstrates the most complicated parts of these methods and gives the idea how to improve computations in software point of view. The research provides the implementation of accelerated binary matrix operations computer library which helps to make the progress steps in the Montgomery and in the Wiedemann-Coppersmith methods faster.