BACKGROUND: To develop a serum-specific protein fingerprint which is capable of differentiating samples from patients with pancreatic cancer and those with other pancreatic conditions. METHODS: We used SELDI-TOF-MS coupled with CM10 chips and bioinformatics tools to analyze a total of 118 serum samples in this study; 78 serum samples were analyzed to establish the diagnostic models and the other 40 samples were analyzed on the second day as an independent test set. RESULTS: The analysis of this independent test set yielded a specificity of 91.6% and a sensitivity of 91.6% for pattern 1, which distinguished pancreatic adenocarcinoma (PC) from healthy individuals and a specificity of 80.0% and a sensitivity of 90.9% for pattern 2, which distinguished PC from chronic pancreatitis. CONCLUSION: This study indicated that the SELDI-TOF-MS technique can facilitate the discovery of better serum tumor biomarkers and a combination of specific models is more accurate than a single model in diagnosis of PC. Copyright 2008 S. Karger AG, Basel and IAP.
BACKGROUND: To develop a serum-specific protein fingerprint which is capable of differentiating samples from patients with pancreatic cancer and those with other pancreatic conditions. METHODS: We used SELDI-TOF-MS coupled with CM10 chips and bioinformatics tools to analyze a total of 118 serum samples in this study; 78 serum samples were analyzed to establish the diagnostic models and the other 40 samples were analyzed on the second day as an independent test set. RESULTS: The analysis of this independent test set yielded a specificity of 91.6% and a sensitivity of 91.6% for pattern 1, which distinguished pancreatic adenocarcinoma (PC) from healthy individuals and a specificity of 80.0% and a sensitivity of 90.9% for pattern 2, which distinguished PC from chronic pancreatitis. CONCLUSION: This study indicated that the SELDI-TOF-MS technique can facilitate the discovery of better serum tumor biomarkers and a combination of specific models is more accurate than a single model in diagnosis of PC. Copyright 2008 S. Karger AG, Basel and IAP.
Authors: Berit Velstra; Bert A Bonsing; Bart J Mertens; Yuri E M van der Burgt; Anouck Huijbers; Hans Vasen; Wilma E Mesker; André M Deelder; Rob A E M Tollenaar Journal: HPB (Oxford) Date: 2012-11-30 Impact factor: 3.647
Authors: Berit Velstra; Marieke A Vonk; Bert A Bonsing; Bart J Mertens; Simone Nicolardi; Anouck Huijbers; Hans Vasen; André M Deelder; Wilma E Mesker; Yuri E M van der Burgt; Rob A E M Tollenaar Journal: J Cancer Res Clin Oncol Date: 2014-09-21 Impact factor: 4.553