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Review
. 2013 Mar;13(3):340-51.
doi: 10.2174/1566524011313030003.

The clinical utility of CA 19-9 in pancreatic adenocarcinoma: diagnostic and prognostic updates

Affiliations
Review

The clinical utility of CA 19-9 in pancreatic adenocarcinoma: diagnostic and prognostic updates

Katherine E Poruk et al. Curr Mol Med. 2013 Mar.

Abstract

CA 19-9 and CEA are the most commonly used biomarkers for diagnosis and management of patients with pancreatic cancer. Since the original compendium by Steinberg in 1990, numerous studies have reported the use of CA 19-9 and, to a lesser extent, CEA in the diagnosis of pancreatic cancer. Here we update an evaluation of the accuracy of CA 19-9 and CEA, and, unlike previous reviews, focus on discrimination between malignant and benign disease instead of normal controls. In 57 studies involving 3,285 pancreatic carcinoma cases, the combined sensitivity of CA 19-9 was 78.2% and in 37 studies involving 1,882 cases with benign pancreatic disease the specificity of CA 19-9 was 82.8%. From the combined analysis of studies reporting CEA, the sensitivity was 44.2% (1,324 cases) and the specificity was 84.8% (656 cases). These measurements more appropriately reflect the expected biomarker accuracy in the differential diagnosis of patients with periampullary diseases. We also present a summary of the use of CA 19-9 as a prognostic tool and evaluate CA 19-9 diagnostic and prognostic utility in a 10-year, single institution experience.

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Figures

Figure 1
Figure 1
Receiver-Operator Characteristics for CA 19-9. Curves demonstrate the relative accuracy for CA 19-9 in discriminating malignant (N = 355) and benign (N = 194) cases (A) or PDAC (N = 324) and pancreatitis (N = 77) cases (B) as defined in Table 4. AUC = area under curve.
Figure 2
Figure 2
Receiver-Operator Characteristics for CEA. Curves demonstrate the relative accuracy for CEA in discriminating malignant (N = 230) and benign (N = 153) cases (A) or PDAC (N = 206) and pancreatitis (N = 53) cases (B) as defined in Table 5. AUC = area under curve.

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