Pancreas
Clin Gastroenterol Hepatol. 2025;23(5):766-775
Multimodal pancreatic cancer detection using methylated DNA biomarkers in pancreatic juice and plasma CA 19-9: A prospective multicenter study
Background and aims: In previous studies, methylated DNA markers (MDMs) have been identified in pancreatic juice (PJ) for detecting pancreatic ductal adenocarcinoma (PDAC). In this prospective multicenter study, the sensitivity and specificity characteristics of this panel of PJ-MDMs was evaluated standalone and in combination with plasma carbohydrate antigen 19-9 (CA 19-9).
Methods: Paired PJ and plasma were assayed from 88 biopsy-proven treatment-naive PDAC cases and 134 controls (53 with normal pancreas, 23 with chronic pancreatitis [CP], 58 with intraductal papillary mucinous neoplasm). Bisulfite-converted DNA from buffered PJ was analyzed using long-probe quantitative amplified signal assay targeting 14 MDMs (NDRG4, BMP3, TBX15, C13orf18, PRKCB, CLEC11A, CD1D, ELMO1, IGF2BP1, RYR2, ADCY1, FER1L4, EMX1, and LRRC4) and a reference gene (methylated B3GALT6). Logistic regression was used to fit the previously identified 3-MDM PJ panel (FER1L4, C13orf18, and BMP3). Discrimination accuracy was summarized using area under the receiver-operating characteristic curve (AUROC) with corresponding 95% confidence interval (CI).
Results: Methylated FER1L4 had the highest individual AUROC of 0.83 (95% CI: 0.78–0.89). The AUROC for the 3-MDM PJ + plasma CA 19-9 model (0.95; 95% CI: 0.92–0.98) was higher than both the 3-MDM PJ panel (0.87; 95% CI: 0.82–0.92) and plasma CA 19-9 alone (0.91; 95% CI: 0.87–0.96) (p = 0.0002 and 0.0135, respectively). At a specificity of 88% (95% CI: 81–93%), the sensitivity of this model was 89% (95% CI: 80–94%) for all PDAC stages and 83% (95% CI: 64–94%) for stage I/II PDAC.
Conclusions: A panel combining pancreatic juice (PJ)-methylated DNA markers and plasma CA 19-9 discriminates pancreatic ductal adenocarcinoma (PDAC) from both healthy and disease control groups with high accuracy. This provides support for combining PJ and blood-based biomarkers for enhancing diagnostic sensitivity and successful early PDAC detection.