| Summary: | 碩士 === 國立臺灣大學 === 臨床牙醫學研究所 === 92 === The lymphocyte subsets (CD4/CD3-T cell, CD8/CD3-T cell, CD19-B cell, CD56-NK cell) and lymphocyte activation antigen ( CD69, CD25) in the peripheral blood (2 ml) of healthy men and women in Taiwan (male: 80, female:50), per cancerous people (28 patients) and oral cancer people ( male: 87, female : 10) were analyzed using two-color flow cytometry. The data were analysised and the three main results were found. First, the sex, age, race can influence the distribution of lymphocyte subsets and activation. The distribution of CD4/CD3-T cell in women was higher than men. If men were older than 60 years of age, the increased proportion of CD8/CD3-T cell and NK cell were than others. If men were younger than 30 years of age, the increased proportion of activation CD8/CD69 and CD8/CD25. Second, the distribution of lymphocyte subsets and activation were change with process of disease. The results showed that the distribution of NK cell, CD4/CD69, CD19/CD69 and CD56/CD69 in men with oral cancer were increased siginificantly in healthy men, and decreased expression of B cell and CD19/CD25 was noted compared with B cell and CD19/CD25 in healthy men. The increased expression NK cell and B cell in men with precancerous lesion was than healthly men. The distribution of NK cell in women with oral cancer was increased than healthy women. Third, we collect all data of patients including diagnosis, TMN stage, pathologic report, fresh or recurrent cancer, systemic disease, habit of chewing betel quids, smoking and drinking. These data were analysised, and we found that habit, pathologic status, tumor location, tumor size and systemic disease were not the major influenced factor. We found that organ metastasis and recurrent were the major influenced factor. The expression of activation in CD56/CD69 in men with recurrent oral cancer was increased than men with fresh cancer. The lymphocyte subsets and activation expression of advanced-terminal oral cancer patient were siginificantly change. Final, we make the prediction program for oral cancer according to data.
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