Three hundred and four women with mild dyskaryosis were recruited into this study. They were examined using cervical cytology, HPV 16 & HPV 18 detection and colposcopic assessment, and the histological outcome was diagnosed by Large Loop Excision of the Transformation Zone. The resulting statistical analysis of this data showed that a secondary screening programme that combines HPV 16 & HPV 18 level with repeat cytology would not be a very efficient screening programme for the management of women with a mildly dyskaryotic smear. The study women were also examined for the presence of a specific P4501A1 polymorphism. When considering the women who had high grade disease, it was discovered that the mean age of the women with the normal genotype was 29 years, whereas the mean age of the women with the 'high' risk genotype was 25 years. This difference was significant and could not be accounted for by years the women with the 'high' risk genotype have smoked, or how many cigarettes these women smoked a day. CIN is commonly treated by excisional surgical procedures. Chemotherapy, however, would represent a new, less invasive and potentially less expensive alternative for the prevention of cervical cancer. There are a number of anticancer drugs available, daunorubicin and doxorubicin being the 2 most commonly used antracyclines. However, the use of such drugs is strongly limited by their lack of selectivity for cancer cells. A method has thus been adapted to test whether DaunoXomes (daunorubicin encapsulated liposomes) could be used to kill cervical cancer cells. The long term aim of this is to achieve specific targeting of DaunoXomes to cancer cells using antibody-enzyme conjugates. Preliminary results appear promising as death of cancer cells was achieved by release of the DaunoXomes contents in the close proximity of the cancer cells.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:265849 |
| Date | January 1998 |
| Creators | Buchan, Suzanne |
| Publisher | University of Aberdeen |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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