Abstract P34: EARLY DETECTION OF PANCREATIC CANCER USING A TARGETED URINARY METABOLITE PANEL

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) has one of the worst survival outcomes of all common cancers. These dismal survival outcomes could be majorly attributed to advanced stage of the disease at the time of diagnosis. Development of sensitive and specific biomarker tests for early detection/diagnosis of PDAC could lead to better survival outcomes for these patients. In this study, we aimed to identify urinary biomarkers which can detect early stage PDAC patients with high sensitivity and specificity. Methods: A panel of 30 metabolites were analyzed in urine specimens from PDAC patients, healthy controls, patients with other pancreatic malignancies or benign pancreatic conditions. Metabolomics was performed using targeted liquid chromatography tandem mass spectrometry (LC-MS/MS) based approach. Results: Multivariate (partial-least squares discriminate analysis) and univariate (area under the receiver operating characteristic (AUROC) ) statistical analysis was performed on the urinary metabolite data to identify a diagnostic biomarker panel of three metabolites (Hypoxanthine, Leucine and Phenylalanine). The identified biomarker panel demonstrated a high diagnostic ability to detect PDAC compared to healthy controls (AUC: 1. 0), patients with other pancreatic malignancies (AUC: 0. 993), and patients with benign pancreatic conditions (AUC: 0. 992). Notably, the biomarker panel showed very high diagnostic accuracy in an independent validation cohort (sensitivity: 100% and specificity: 88. 2%). Finally, the biomarker panel also demonstrated very high potential to diagnose patients with early stage PDAC (Stage I and II) compared to healthy controls (AUC: 1. 0). Conclusion: These results demonstrate that identified urinary biomarker panel could be used to detect early stage PDAC with excellent diagnostic accuracy and will pave the wave for a simple and inexpensive urinary test for early detection/diagnosis of PDAC. Citation Format: Sumit Sahni, Bharat Venkatesh, Sooin Byeon, Matthew J. McKay, Mark P. Molloy, Siobhan McKay, Alex Boue, Anthony J Gill, Jaswinder S Samra, Anubhav Mittal. EARLY DETECTION OF PANCREATIC CANCER USING A TARGETED URINARY METABOLITE PANEL abstract. In: Proceedings of Frontiers in Cancer Science 2024; 2024 Nov 13-15; Singapore. Philadelphia (PA): AACR; Cancer Res 2025;85 (15Suppl): Abstract nr P34.