Similarly, detection of CC remains a diagnostic challenge and physicians will be encouraged by results from a Phase II study showing that a combined bile and urine proteomic test increased diagnostic accuracy of CC in patients with biliary strictures (an abnormal narrowing of the common bile duct) of unknown origin.
Having recently established diagnostic peptide marker models in bile and urine to detect both local and systemic changes during CC progression, investigators combined both models with the aim of reaching a higher diagnostic accuracy.
The data demonstrated this model enables impressive CC-diagnosis with an accuracy of more than 90% that is most applicable for patients with biliary strictures of unknown origin referred to endoscopy.
Prof. Mark Thursz added: "These important findings substantially improve the diagnosis of CC and may lead to early therapy and improved prognosis. Overall both data sets demonstrate the increasing value of proteomic and metabonomic techniques and if confirmed by further investigation, clinicians may soon be using simple urine dip-stick tests to diagnose HCC and CC."
A logistic regression model composed of the bile and urine proteomic classification factors lead to an area under curve (AUC) of 0.96, and 92% sensitivity and 84% specificity at the best cut-off. Only three of the 36 CC patients were false negative and two of the 33 PSC patients were false positive classified. Inclusion of CA19-9 and bilirubin values to the logistic regression model was of minor benefit.
Cholangiocarcinoma or bile duct cancer is rare and almost always adenocarcinom
|Contact: Dimple Natali|
European Association for the Study of the Liver