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Published in: Journal of Translational Medicine 1/2009

Open Access 01-12-2009 | Research

Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis

Authors: Stephanie T Chang, Jacob M Zahn, Joe Horecka, Pamela L Kunz, James M Ford, George A Fisher, Quynh T Le, Daniel T Chang, Hanlee Ji, Albert C Koong

Published in: Journal of Translational Medicine | Issue 1/2009

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Abstract

Background

Pancreatic cancer continues to prove difficult to clinically diagnose. Multiple simultaneous measurements of plasma biomarkers can increase sensitivity and selectivity of diagnosis. Proximity ligation assay (PLA) is a highly sensitive technique for multiplex detection of biomarkers in plasma with little or no interfering background signal.

Methods

We examined the plasma levels of 21 biomarkers in a clinically defined cohort of 52 locally advanced (Stage II/III) pancreatic ductal adenocarcinoma cases and 43 age-matched controls using a multiplex proximity ligation assay. The optimal biomarker panel for diagnosis was computed using a combination of the PAM algorithm and logistic regression modeling. Biomarkers that were significantly prognostic for survival in combination were determined using univariate and multivariate Cox survival models.

Results

Three markers, CA19-9, OPN and CHI3L1, measured in multiplex were found to have superior sensitivity for pancreatic cancer vs. CA19-9 alone (93% vs. 80%). In addition, we identified two markers, CEA and CA125, that when measured simultaneously have prognostic significance for survival for this clinical stage of pancreatic cancer (p < 0.003).

Conclusions

A multiplex panel assaying CA19-9, OPN and CHI3L1 in plasma improves accuracy of pancreatic cancer diagnosis. A panel assaying CEA and CA125 in plasma can predict survival for this clinical cohort of pancreatic cancer patients.
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Metadata
Title
Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis
Authors
Stephanie T Chang
Jacob M Zahn
Joe Horecka
Pamela L Kunz
James M Ford
George A Fisher
Quynh T Le
Daniel T Chang
Hanlee Ji
Albert C Koong
Publication date
01-12-2009
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2009
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/1479-5876-7-105

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