Jie-kai Yu1, Shu Zheng, Yong Tang, Li Li. 1. Cancer Institute, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China.
Abstract
OBJECTIVE: To find new potential biomarkers and establish the patterns for the detection of ovarian cancer. METHODS: Sixty one serum samples including 32 ovarian cancer patients and 29 healthy people were detected by surface-enhanced laser desorption/ionization mass spectrometry (SELDI-MS). The protein fingerprint data were analyzed by bioinformatics tools. Ten folds cross-validation support vector machine (SVM) was used to establish the diagnostic pattern. RESULTS: Five potential biomarkers were found (2085 Da, 5881 Da, 7564 Da, 9422 Da, 6044 Da), combined with which the diagnostic pattern separated the ovarian cancer from the healthy samples with a sensitivity of 96.7%, a specificity of 96.7% and a positive predictive value of 96.7%. CONCLUSIONS: The combination of SELDI with bioinformatics tools could find new biomarkers and establish patterns with high sensitivity and specificity for the detection of ovarian cancer.
OBJECTIVE: To find new potential biomarkers and establish the patterns for the detection of ovarian cancer. METHODS: Sixty one serum samples including 32 ovarian cancerpatients and 29 healthy people were detected by surface-enhanced laser desorption/ionization mass spectrometry (SELDI-MS). The protein fingerprint data were analyzed by bioinformatics tools. Ten folds cross-validation support vector machine (SVM) was used to establish the diagnostic pattern. RESULTS: Five potential biomarkers were found (2085 Da, 5881 Da, 7564 Da, 9422 Da, 6044 Da), combined with which the diagnostic pattern separated the ovarian cancer from the healthy samples with a sensitivity of 96.7%, a specificity of 96.7% and a positive predictive value of 96.7%. CONCLUSIONS: The combination of SELDI with bioinformatics tools could find new biomarkers and establish patterns with high sensitivity and specificity for the detection of ovarian cancer.
Authors: Terence C W Poon; Tai-Tung Yip; Anthony T C Chan; Christine Yip; Victor Yip; Tony S K Mok; Conrad C Y Lee; Thomas W T Leung; Stephen K W Ho; Philip J Johnson Journal: Clin Chem Date: 2003-05 Impact factor: 8.327
Authors: Emanuel F Petricoin; Ali M Ardekani; Ben A Hitt; Peter J Levine; Vincent A Fusaro; Seth M Steinberg; Gordon B Mills; Charles Simone; David A Fishman; Elise C Kohn; Lance A Liotta Journal: Lancet Date: 2002-02-16 Impact factor: 79.321
Authors: Zhen Zhang; Robert C Bast; Yinhua Yu; Jinong Li; Lori J Sokoll; Alex J Rai; Jason M Rosenzweig; Bonnie Cameron; Young Y Wang; Xiao-Ying Meng; Andrew Berchuck; Carolien Van Haaften-Day; Neville F Hacker; Henk W A de Bruijn; Ate G J van der Zee; Ian J Jacobs; Eric T Fung; Daniel W Chan Journal: Cancer Res Date: 2004-08-15 Impact factor: 12.701
Authors: Bin Ye; Daniel W Cramer; Steven J Skates; Steven P Gygi; Vanessa Pratomo; Lanfei Fu; Nora K Horick; Larry J Licklider; John O Schorge; Ross S Berkowitz; Samuel C Mok Journal: Clin Cancer Res Date: 2003-08-01 Impact factor: 12.531
Authors: Bao-Ling Adam; Yinsheng Qu; John W Davis; Michael D Ward; Mary Ann Clements; Lisa H Cazares; O John Semmes; Paul F Schellhammer; Yutaka Yasui; Ziding Feng; George L Wright Journal: Cancer Res Date: 2002-07-01 Impact factor: 12.701