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부산지역 한 3차 병원으로 내원한 폐결핵 환자에서 약제 내성률과 예측인자간의 연관성
손춘희 ( Son Chun Hui ),양두경 ( Yang Du Gyeong ),노미숙 ( No Mi Sug ),정진숙 ( Jeong Jin Sug ),이혁 ( Lee Hyeog ),이기남 ( Lee Gi Nam ),최필조 ( Choe Pil Jo ),이수걸 ( Lee Su Geol ),장광열 ( Jang Gwang Yeol ),최익수 ( Choe Ig Su 대한결핵 및 호흡기학회 2001 Tuberculosis and Respiratory Diseases Vol.51 No.5
스테로이드 치료로 호전을 보인 bleomycin 유도 폐섬유화
박민아 ( Park Min A ),임태형 ( Im Tae Hyeong ),김성현 ( Kim Seong Hyeon ),권혁찬 ( Kwon Hyeog Chan ),김재석 ( Kim Jae Seog ),김효진 ( Kim Hyo Jin ),노미숙 ( No Mi Sug ) 대한내과학회 2003 대한내과학회지 증례 특집호 65-5 부록3 Vol.0 No.-
We report the case that a 41-year-old male treated for testicular seminoma with combination chemotherapy that included bleomycin, developed life threatening pulmonary fibrosis. After orchiectomy, he completed four cycles of chemotherapy with bleomycin, et
cDNA microarray를 이용한 위선암에서의 유전자 발현에 관한 연구
이종훈 ( Lee Jong Hun ),최석렬 ( Choe Seog Lyeol ),황태호 ( Hwang Tae Ho ),김민찬 ( Kim Min Chan ),정갑중 ( Jeong Gab Jung ),노미숙 ( No Mi Sug ),정진숙 ( Jeong Jin Sug ) 대한소화기학회 2003 대한소화기학회지 Vol.42 No.6
Background/Aims: cDNA microarray provides a powerful alternative with an unprecedented view scope in monitoring gene expression levels and leads to discoveries of regulatory pathways involved in complicated biological processes. Our aim was to explore the different gene expression patterns in early and advanced gastric cancer. Methods: By using a cDNA microarray representing 4,608 cDNA clusters, we studied the expression profiling in 10 paired gastric adenocarcinoma samples and the adjacent noncancerous gastric tissues. The alterations in gene expression levels were confirmed by Northern blot and reverse-transcription (RT) PCR. Results: Genes that were differently expressed in cancer and noncancerous tissues were identified. Forty-four and 92 (26 and 43 of them were known, respectively) genes or cDNA were up- and down-regulated, respectively, in more than 80% of gastric adenocarcinoma samples. The semi-quantitative RT-PCR results were consistent with the microarray findings. To distinguish between early and advanced gastric cancers, we used a supervised learning classification approach. When we used 16 and 20 genes as predictors, the prediction was all yielded statistically significant. Moreover, when we used 9 genes, we could predict with the highest accuracy. Conclusions: These results may provide not only a new molecular basis for understanding biological properties of gastric adenocarcinoma, but also useful resources for future development of therapeutic targets and diagnostic markers for gastric adenocarcinoma. (Korean J Gastroenterol 2003;42:484-495)