Pedrosa, LeireAraujo, Isis KarinaCuatrecasas Freixas, MiriamSoy, GuillemLópez, S.Maurel Santasusana, JoanSánchez Montes, CristinaMontironi, CarlaSaurí, TamaraSendino, OriolPérez, F.M.Ausania, FabioFernández Esparrach, GlòriaEspósito, F.M.Vaquero, Eva C.Ginès i Gibert, M. Àngels2025-03-202025-03-202023-05-172296-889Xhttps://hdl.handle.net/2445/219891Background: Integration of transcriptomic testing into EUS-FNA samples is a growing need for precision oncology in pancreatic ductal adenocarcinoma (PDAC). The NanoString platform is suitable for transcriptome profiling in low yield RNA samples. Methods: Inclusion of patients that underwent EUS-FNA cytological diagnosis of pancreatic ductal adenocarcinoma using 19G and/or 22G needles and subsequent surgical resection. Formalin-fixed, paraffin-embedded (FFPE) cytological and surgical samples underwent RNA extraction and transcriptomic analysis using a custom 52-gene NanoString panel of stromal PDAC features. Cell type abundance was quantified in FFPE specimens and correlated. Results: 18 PDAC patients were included. Mean EUS-FNA passes was 2 + 0.7. All FFPE passed the RNA quality control for genomic analysis. Hierarchical clustering on the global gene expression data showed that genes were differentially expressed between EUS and surgical samples. A more enriched cancer-associated fibroblasts and epithelial-mesenchymal transition transcriptomic profile was observed across surgical specimens whereas immunological biomarkers were more represented in EUS-FNA samples. Cytological examination confirmed a scanty representation of CAF and more immunological cell abundance in cytological samples in comparison to surgical specimens. Conclusion: Targeted transcriptomic NanoString profiling of PDAC samples obtained by EUS-FNA is a feasible approach for pre-surgical molecular analysis although stromal CAF/EMT mRNA biomarkers are underrepresented.9 p.application/pdfengcc-by (c) Pedrosa, Leire et al., 2023http://creativecommons.org/licenses/by/4.0/Tècniques citològiquesMarcadors bioquímicsCàncer de pàncreesRNACytological techniquesBiochemical markersPancreas cancerRNATargeted transcriptomic analysis of pancreatic adenocarcinoma in EUS-FNA samples by NanoString technologyinfo:eu-repo/semantics/article7576712025-03-20info:eu-repo/semantics/openAccess937351237266332