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  • 03월 02일 17시 이후 : 초록수정 불가능, 일정확인 및 검색만 가능

제109회 대한화학회 학술발표회, 총회 및 기기전시회 안내 Discovery of Novel Bladder cancer biomarkers by extensive label-free quantitation based on master accurate mass and time tag (AMT) database

2012년 3월 2일 14시 18분 24초
ANAL.P-647 이곳을 클릭하시면 발표코드에 대한 설명을 보실 수 있습니다.
4월 25일 (수요일) 18:00~21:00
저자 및
김수진, 문동기, 이상원
고려대학교 화학과, Korea
Bladder cancer is a common urothelial cancer and one of the most common malignancies worldwide. This cancer estimated 70,530 newly diagnosed cases per year in the United States, and approximately 14,700 patients die each year of the disease in 2010. One of an easily accessible diagnostic method of the bladder cancer, urine cytology is a non?invasive procedure that is easily accessible, convenient, and no painful procedure to most of patients, but an accurate diagnosis fails in case of low grade (or early stage) tumors. Therefore, many low grade tumors would be missed and then bladder cancer has been reported high recurrence rate. The necessity of repeated screening for reappearance demonstrates the need for novel biomarkers as alternatives to invasive or non-invasive standard diagnostic procedures. Toward this goal, we performed proteomic study using mass spectrometry through “the Master AMT DB” (Master accurate mass time tag database) to extensive proteome profile and “MAD4QUANT” (Master AMT tag Database approach for label-free QUANTitation). As a result this study, we created a bladder cancer proteome compendium of 31,442 unique peptides covering 4,937 proteins across 11 bladder cancer patient samples (11 normal and 11 tumor tissues). Especially, 25,475 peptides (4,421 proteins) participated in label-free quantitation. Among the 1,163 proteins, differentially expressed proteins (DEPs) were identified as the present proteins with a pair-wise statistical test P-value less than 0.01. Using this approach, we have analyzed 912 up-regulated proteins and 251 down-regulated proteins against tumor and selected candidate biomarkers of bladder cancer. Major changes of DEPs were observed for cell adhesion, cytoskeleton organization, and cell migration, but also inflammatory response and response to oxidative stress were affected in cancer. This study demonstrates that label-free quantification using mass spectrometry can be identified disease dependent protein alterations from bladder tissue biopsies. Thus, this technique might be allowed better disease characterization and may be a valuable tool in potential clinical biomarker studies.