Abstract PO-009: Multi-omic profiling of patient pancreatic cyst fluid for the identification of a novel biomarker panel of patient cancer risk

Background: Pancreatic cancer was responsible for almost 500,000 deaths globally in 2020 according to GLOBOCAN 2020. Pancreatic cystic lesions (PCLs) are fluid-filled protrusions either on or inside the pancreas. PCLs can either be benign or pre-malignant, however, current guidelines based on clinical features are limited in their ability to accurately stratify patients based on cancer risk. Multi-omic profiling of the pancreatic cyst fluid (PCF) could aid in the identification of a novel biomarker panel of patient cancer risk. Methods: PCF was collected from 40 patients by EUS-FNA. Patients were stratified using the 2018 European evidence-based guidelines into low-risk (n=15), high risk (n=15) and no-risk/pseudocyst (n=10). PCF was sonicated and subsequently processed using a single-pot solid-phase-enhanced sample preparation (SP3) protocol with Sera-Mag SpeedBead carboxylate-modified beads prior to LC-MS. Samples were run on a Thermo Scientific Q Exactive mass spectrometer coupled to a Dionex Ultimate 3000 (RSLCnano) chromatography system. MS-generated proteomic data were analysed in Perseus (v1.6.13). HTG microRNA whole transcriptome sequencing was run on whole PCF. Transcriptomic data were analysed using HTG EdgeSeq Reveal (v3.1). Results: MS-analysis revealed 1,266 proteins present across all PCF samples. Proteins were filtered based on potential contaminants and valid values. Only proteins expressed in a minimum of six PCF samples were included in the analysis. After data clean-up, 465 proteins were examined for differential expression. A total of eight proteins were upregulated in high-risk PCF compared to low-risk (p ±2 between the groups, with 202 miRNAs meeting this criteria. Forty-six miRNAs were significantly upregulated in high-risk PCF compared to low-risk PCF (adj-p Citation Format: Laura E. Kane, Gregory S. Mellotte, Simone Marcone, Barbara M. Ryan, Stephen G. Maher. Multi-omic profiling of patient pancreatic cyst fluid for the identification of a novel biomarker panel of patient cancer risk [abstract]. In: Proceedings of the AACR Virtual Special Conference on Pancreatic Cancer; 2021 Sep 29-30. Philadelphia (PA): AACR; Cancer Res 2021;81(22 Suppl):Abstract nr PO-009.