표제지
목차
ABBREVIATION 8
I. 서론 9
1.1. 항암제의 연구동향 9
1.2. 암세포와 면역반응 11
1.3. miRNA와 cancer 13
II. 재료 및 실험 방법 14
2.1. Sample extraction 14
2.2. DNA/RNA extraction 16
2.3. 통계학적 분석 17
III. 결과 22
3.1. miRNA를 이용한 profile 예측 22
3.2. Micro RNA profile 31
3.2.1. 백혈병, 갑상선암 및 전립선암, RCC, HCC 31
3.2.2. Immunostaining 47
IV. 결론 50
V. Reference 51
ABSTRACT 53
Table 1. Clinicopathological profiles of tumor samples 15
Table 2. Performance of the 1-NN predictor for tissue of origin according to the p... 23
Table 3. Expression profile of 175 discriminatory microRNAs that were differentially... 30
Table 4. Discriminatory microRNA differentially expressed between two branches of... 37
Table 5. Discriminatory microRNA differentially expressed between two branches of... 40
Table 6. Discriminatory microRNA differentially expressed between two branches of... 42
Table 7. Discriminatory microRNA differentially expressed between two branches of... 45
Table 8. Discriminatory microRNA differentially expressed between two branches of... 47
Figure 1. 각 세대별 항암제의 발전 과정 10
Figure 2. Innate and Adaptive Immunity. 12
Figure 3. Decision tree analyses for the training set samples. 21
Figure 4. Summary of the different datasets and their use in the experiments. 31
Figure 5. Representative images for miR-122 expression in cholangiocarcinomas and HCCs. 48
Figure 6. 전이성 대장암의 CDX2, CK20, CK7에 대한 조직 염색. 49