Abstract 2431: Identification of highly expressed exosomal RNAs derived from pancreatic cancer cell lines and exploration of their potential as biomarkers

Abstract Background: Not all exosomes in the blood of cancer patients originate from cancer cells. This study evaluated the relationships between mRNAs and miRNAs in pancreatic cancer (PC) cell lines and those in exosomes secreted into the supernatant. We aimed to identify candidates for PC biomarkers from cancer-specific exosomal mRNAs and miRNAs. Materials and Methods: Three PC cell lines were utilized. Exosomes were isolated from the supernatant, and cellular and exosomal mRNAs and miRNAs were extracted. Subsequently, RNA sequencing (RNA-seq) was performed, and the data were analyzed using R software. Results: In the MIAPaCa-2 cell line, the expression of cellular mRNAs and corresponding exosomal mRNAs showed a strong correlation. In the other two cell lines, a moderate correlation was observed. Across all three cell lines, cellular miRNAs and corresponding exosomal miRNAs exhibited moderate correlation. We focused on RNAs that were lowly expressed in cells but highly expressed in exosomes and conducted differential expression analysis using R. Compared with healthy volunteers in the GEO database, some RNAs showed high expression in the supernatant and low expression in the plasma of healthy volunteers. Conclusion: We identified three mRNAs and three miRNAs that may serve as promising biomarker candidates for PC. Citation Format: Yuhan Rong, Naoki Okubo, Noritoshi Kobayashi, Eriko Katsuta, Yasushi Ichikawa. Identification of highly expressed exosomal RNAs derived from pancreatic cancer cell lines and exploration of their potential as biomarkers abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts) ; 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84 (6Suppl): Abstract nr 2431.