Elevated level of anterior gradient-2 in pancreatic juice from patients with pre-malignant pancreatic neoplasia
By: Ru Chen , Sheng Pan , Xiaobo Duan , Brad H Nelson , Rob A Sahota , Sarah de Rham , Richard A Kozarek , Martin McIntosh and Teresa A Brentnall

Molecular Cancer 2010, 9:149 doi:10.1186/1476-4598-9-149
Published: 15 June 2010

Abstract (Provisional)

Background

Pancreatic intraepithelial neoplasias (PanINs) are precursors of malignant pancreatic cancer, an ideal stage for early cancer detection. We applied quantitative proteomics to identify aberrantly elevated proteins in pancreatic juice samples derived from patients with PanIN3.

Results

Twenty proteins were found elevated in all three PanIN juices by at least two-fold. Among these proteins, anterior gradient-2 (AGR2) was found to be 2-10 fold elevated in PanIN3 juice samples analyzed by quantitative proteomics. An ELISA assay was developed to evaluate AGR2 levels in 51 pancreatic juice samples and 23 serum samples from patients with pancreatic cancer, pre-malignant lesions (including PanIN3, PanIN2, Intraductal Papillary Mucinous Neoplasms (IPMNs)) and benign disease controls (including chronic pancreatitis). AGR2 levels in the pancreatic juice samples were found significantly elevated in patients with pre-malignant conditions (PanINs and IPMNs) as well as pancreatic cancer compared to control samples (p[less than or equal to]0.03). By ROC analysis, the AGR2 ELISA achieved 67% sensitivity at 90% specificity in predicting PanIN3 juice samples from the benign disease controls.

Conclusions

These results suggest that elevation of AGR2 levels in pancreatic juice occurs in early pancreatic cancer progression and could be further investigated as a potential candidate juice biomarker for early detection of pancreatic cancer.

The complete article is available as a provisional PDF. The fully formatted PDF and HTML versions are in production






* Albert Einstein College of Medicine has been
awarded Acceditation with Commendation by
the ACCME

Copyright 2025 InterMDnet | Privacy Policy | Disclaimer | System Requirements