Details

Autor(en) / Beteiligte

• Liu, Daren
• Cao, Liping
• Yu, Jiekai
• Que, Risheng
• Jiang, Wenzhi
• Zhou, Yiming
• Zhu, Linhua

Titel

Diagnosis of Pancreatic Adenocarcinoma Using Protein Chip Technology

Ist Teil von

• Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.], 2009-01, Vol.9 (1-2), p.127-135

Ort / Verlag

Basel, Switzerland: Elsevier B.V

Erscheinungsjahr

2009

Quelle

MEDLINE

Beschreibungen/Notizen

• Abstract 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.