Pre-operative biomarkers may predict nodal status in pancreatic ductal adenocarcinoma

This is the authors' abstract. We don't add key points for this paper.

Introduction The current standard for preoperative nodal staging for pancreatic adenocarcinoma, endoscopic ultrasound, varies widely in its accuracy, with pathologic concurrence as low as 41%. Patients who are found to have 4 or more pathologically positive lymph nodes are defined as N2 nodal status. These patients experience extremely poor overall survival. Objective We sought to identify any biomarkers specific to this patient population to better stratify these patients pre-operatively. Methods We began with an existing database of patients with histologically confirmed pancreatic adenocarcinoma treated at the University of Utah between January 2004 and October 2019. These patients and their biological samples have already been screened using a 31 analyte panel to detect early stage disease. We recategorized these patients using the updated AJCC 8 th edition introducing N2 disease. The individual analytes were then screened for their ability to distinguish N2 disease. Results Basigin (BSG) was significantly elevated in N2 disease (mean 17.45, SD 13.53) compared to N0 disease (mean 12.09, SD 11.47), p=0.014 by Dunn's test) while Leucine-rich alpha-2-glycoprotein 1 (LRG1) was significantly decreased in N2 disease (mean 3446.21, SD 2719.12) compared to N0 disease (mean 5727.25, SD 3236.40, p=0.025). Conclusion BSG and LRG1 could be useful in preoperatively identifying candidates that would benefit most from resection. This offers a foundation for future studies to combine biomarkers and clinical factors into a machine learning algorithm to reliably distinguish N2 disease in the preoperative setting. This may affect the pre-surgical discussion and provide vital prognostic information to patients.