Bile Proteomic Profiles Differentiate Cholangiocarcinoma From Primary Sclerosing Cholangitis and Choledocholithiasis §Δ

• DOI: 10.1002/hep.24103
• Publication Date: 2010-12-07T21:03:26Z
• Authors: Tim O. Lankisch; Jochen Metzger; Ahmed A. Negm; Katja Voβkuhl; Eric Schiffer; Justyna Siwy; Tobias J. Weismüller; Andrea S. Schneider; Kathrin Thedieck; Ralf Baumeister; Petra Zürbig; Eva M. Weissinger; Michael P. Manns; Harald Mischak; Jochen Wedemeyer
• Keywords: Electrophoresis; Adult; Aged, 80 and over; Male; 0301 basic medicine; Proteome; Cholangitis; Gene Expression Profiling; Cholangitis, Sclerosing; Electrophoresis, Capillary; Middle Aged; Sclerosing; Mass Spectrometry; Cholangiocarcinoma; Capillary; 03 medical and health sciences; Choledocholithiasis; 80 and over; Bile; Humans; Female; Aged

Abstract

Early detection of malignant biliary tract diseases, especially cholangiocarcinoma (CC) in patients with primary sclerosing cholangitis (PSC), is very difficult and often comes too late to give the patient a therapeutic benefit. We hypothesize that bile proteomic analysis distinguishes CC from nonmalignant lesions. We used capillary electrophoresis mass spectrometry (CE-MS) to identify disease-specific peptide patterns in patients with choledocholithiasis (n = 16), PSC (n = 18), and CC (n = 16) in a training set. A model for differentiation of choledocholithiasis from PSC and CC (PSC/CC model) and another model distinguishing CC from PSC (CC model) were subsequently validated in independent cohorts (choledocholithiasis [n = 14], PSC [n = 18] and CC [n = 25]). Peptides were characterized by sequencing. Application of the PSC/CC model in the independent test cohort resulted in correct exclusion of 12/14 bile samples from patients with choledocholithiasis and identification of 40/43 patients with PSC or CC (86% specificity, 93% sensitivity). The corresponding receiver operating characteristic (ROC) analysis revealed an area under the curve (AUC) of 0.93 (95% confidence interval [CI]: 0.82-0.98,

P

= 0.0001). The CC model succeeded in an accurate detection of 14/18 bile samples from patients with PSC and 21/25 samples with CC (78% specificity, 84% sensitivity) in the independent cohort, resulting in an AUC value of 0.87 (95% CI: 0.73-0.95,

P

= 0.0001) in ROC analysis. Eight out of 10 samples of patients with CC complicating PSC were identified.

Conclusion:

Bile proteomic analysis discriminates benign conditions from CC accurately. This method may become a diagnostic tool in future as it offers a new possibility to diagnose malignant bile duct disease and thus enables efficient therapy particularly in patients with PSC. (Hepatology 2010;)