HP07PROTEOMIC IDENTIFICATION OF SERUM MARKERS OF PANCREATIC ADENOCARCINOMA USING SELDI-TOF MS

More accurate biomarkers for pancreatic cancer (PC) would improve early detection and monitoring progress. To develop a biomarker panel for PC, using SELDI-TOF technology and a bioinformatic approach and compare these markers to Ca19.9. Serum samples from patients from the University of Sydney (UoS)...

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Bibliographic Details
Published in:ANZ journal of surgery Vol. 77; no. s1; p. A41
Main Authors: Baxter, R. C., Smith, R. C., Scarlett, C. J., Xue, A., Butturini, G., Scarpa, A.
Format: Journal Article
Language:English
Published: Melbourne, Australia Blackwell Publishing Asia 01-05-2007
Blackwell Publishing Ltd
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Summary:More accurate biomarkers for pancreatic cancer (PC) would improve early detection and monitoring progress. To develop a biomarker panel for PC, using SELDI-TOF technology and a bioinformatic approach and compare these markers to Ca19.9. Serum samples from patients from the University of Sydney (UoS) were used to derive a diagnostic panel of proteins which was tested blindly on samples from the University of Verona (UoV). From UoS there were 38 PC, 54 disease controls (pancreatico-biliary) (DC) and 68 healthy volunteers (HV) samples. From UoV there were 40 PC, 21 DC and 19 HV patients. The PC patients from UoV underwent a resection and were therefore in a relatively early stage. The biomarker panel was developed using a logistic regression/10 fold cross validation approach1. Ca 19.9 was also measured. Discriminatory power was assessed by ROC curve analysis. The protein panel that best discriminated DC from PC included 7 protein peaks and HV from PC included 4 protein peaks. The discriminatory effect of the protein panel was similar to that of Ca19.9 but the combination of these panels and Ca19.9 was significantly improved P < 0.05, from 0.90 to 0.97 for comparison of PC with DC and from 0.90 to 0.99 for comparison of PC to HV. Results for samples from UoV were similar to those for UoS. A panel of serum proteins from PC patients in combination with Ca19.9, significantly improved the ability to identify PC from DC and HV samples. These results were confirmed when tested blindly on blood samples from Verona. [PUBLICATION ABSTRACT]
Bibliography:ArticleID:ANS4122_7
ark:/67375/WNG-6PHNJ498-D
istex:E7985A27BA9451FEE853F8EAF002236BE0756965
ISSN:1445-1433
1445-2197
DOI:10.1111/j.1445-2197.2007.04122_7.x