Polymer-Based Precipitation of Extracellular Vesicular miRNAs from Serum Improve Gastric Cancer miRNA Biomarker Performance

Abstract

Circulating miRNAs are promising liquid biopsy biomarkers for noninvasive cancer detection. However, detection of subtle, but meaningful differences in circulating miRNA quantities between diseased and healthy samples remains a key challenge in clinical settings because biomarker signal/noise ratios are often low. Because extracellular vesicles (EVs) are key sources of circulating miRNAs in serum, it was hypothesized that isolating EVs would enrich miRNA biomarkers, leading to enhanced diagnostic ability and improved biomarker performance. This research assessed the performance of EV-miRNAs against serum miRNAs as biomarkers for gastric cancer (GC). It was first determined that polymer-based precipitation (PBP) gave the highest EV-miRNA recovery when compared with ultracentrifugation, column affinity, peptide affinity, and immunobead affinity EV purification. Four PBP reagents were used to isolate EV-miRNAs from 15 GC and 15 healthy controls and 133 GC-related miRNAs were profiled from EV fractions and total serum using real-time quantitative PCR. A PBP reagent that generated the most EV-miRNA biomarkers was selected and used to validate 11 EV-miRNAs in an independent set of 20 GC and 20 controls. Eight of these EV-miRNA biomarkers were found to give better GC detection accuracy (area under the curve, approximately 0.8). Overall, data suggest that EV miRNAs can improve GC detection performance compared with serum miRNAs and led to the identification of eight EV-miRNAs as potential noninvasive biomarkers for GC.