3 resultados para Pancreatic Neoplasms

em Greenwich Academic Literature Archive - UK


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Background: This epidemiological study was carried out to establish the magnitude of the changing incidence of gastric and oesophageal cancer. Methods: Time-trend analyses of subsite-specific cancers of the oesophagus and stomach were performed using data from the Thames Cancer Registry database (1960-1996) for the South Thames Region. The changes in sex ratio and peak age of incidence are reported. Results: In the upper two-thirds of the oesophagus there was no significant change in the incidence rate, but the lower third of the oesophagus showed a marked rise for both sexes (average annual change + 0.05 for men, + 0.009 for women). For the gastric cardia, the incidence in males increased (average annual change + 0.025), while in females it remained unchanged. Cancers of the oesophagogastric junction showed a clear increase for both sexes (average annual change + 0.07 for men, + 0.009 for women). There were changes in the sex ratio and peak age of incidence for all subsite cancers for both sexes. Conclusion: Over a 37-year period the incidence of cancer of the oesophagogastric junction increased threefold, while the incidence of cancers of the other subsites of the stomach decreased. Further studies are needed to investigate the aetiology of these changes.

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Syntheses and NMR studies are reported of two 15N-labelled Pt(II) complexes of anticancer interest: cis-PtCl2(15NH3)(c-C6H1115NH2), a metabolite of the orally-active Pt(IV) complex cis,trans,cis-[PtCl2(acetate)2(c-C6H11NH2)(NH3), and trans-[PtCl2(15NH3)(c-C6H1115NH2), a reduction product of the active Pt(IV) complex trans,trans,trans-[PtCl2(OH)2(c-C6H11NH2). For cis-[PtCl2(15NH3)(c-C6H1115NH2), hydrolysis was faster for the chloride ligand trans to cyclohexylamine, and the pKa values determined by [1H, 15N NMR spectroscopy for the two cis monoaqua isomers were the same (6.73). The trans monoaqua complex was a stronger acid with pKa of 5.4 (determined by 195Pt NMR). For the cis diaqua complex, pKa values of 5.68 and 7.68 were determined.

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Serial Analysis of Gene Expression (SAGE) is a relatively new method for monitoring gene expression levels and is expected to contribute significantly to the progress in cancer treatment by enabling a precise and early diagnosis. A promising application of SAGE gene expression data is classification of tumors. In this paper, we build three event models (the multivariate Bernoulli model, the multinomial model and the normalized multinomial model) for SAGE data classification. Both binary classification and multicategory classification are investigated. Experiments on two SAGE datasets show that the multivariate Bernoulli model performs well with small feature sizes, but the multinomial performs better at large feature sizes, while the normalized multinomial performs well with medium feature sizes. The multinomial achieves the highest overall accuracy.