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Evaluation of the effectiveness of a chemoprevention model of pancreatic adenocarcinoma using protein chip technology.
MedLine Citation:
PMID:  21042720     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
A serum-specific protein 'fingerprint' model was established which is capable of evaluating the effect of chemotherapy (gemcitabine) of pancreatic adenocarcinoma. We used SELDI-TOF-MS coupled with CM10 chips and bioinformatics tools to analyze a total of 45 mouse serum samples from three groups: the healthy control group, the pancreatic cancer model group (orthotopic transplantation model of human pancreatic adenocarcinoma) and the gemcitabine-treated group to establish diagnostic models. As a result, the test set yielded a specificity of 95.0% and a sensitivity of 95.0% for pattern 1, which distinguished pancreatic adenocarcinoma from healthy individuals and a specificity of 95.0% and a sensitivity of 75.0% for pattern 3, which distinguished healthy controls, PC model group and gemcitabine-treated group, as evaluated by leave-one-out cross-validation. We concluded from this study that the SELDI-TOF-MS technique combined with bioinformatics approaches can facilitate evaluating the effect of chemotherapy (gemcitabine) for pancreatic adenocarcinoma and could be used as a potential prognostic monitoring method.
Authors:
Liping Cao; Liang Wang; Guifeng Wang; Daren Liu; Jiekai Yu; Risheng Que; Dafei Xie
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  International journal of oncology     Volume:  37     ISSN:  1791-2423     ISO Abbreviation:  Int. J. Oncol.     Publication Date:  2010 Dec 
Date Detail:
Created Date:  2010-11-02     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9306042     Medline TA:  Int J Oncol     Country:  Greece    
Other Details:
Languages:  eng     Pagination:  1515-20     Citation Subset:  IM    
Affiliation:
Department of Surgery, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310009, PR China. cao@zju.edu.cn
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