Frontiers in Molecular Biosciences (May 2023)

Targeted transcriptomic analysis of pancreatic adenocarcinoma in EUS-FNA samples by NanoString technology

  • L. Pedrosa,
  • I. K. Araujo,
  • I. K. Araujo,
  • M. Cuatrecasas,
  • M. Cuatrecasas,
  • M. Cuatrecasas,
  • G. Soy,
  • G. Soy,
  • S. López,
  • J. Maurel,
  • J. Maurel,
  • J. Maurel,
  • J. Maurel,
  • C. Sánchez-Montes,
  • C. Montironi,
  • C. Montironi,
  • T. Saurí,
  • T. Saurí,
  • T. Saurí,
  • O. Sendino,
  • O. Sendino,
  • F. M. Pérez,
  • F. Ausania,
  • F. Ausania,
  • F. Ausania,
  • G. Fernández-Esparrach,
  • G. Fernández-Esparrach,
  • G. Fernández-Esparrach,
  • G. Fernández-Esparrach,
  • F. M. Espósito,
  • F. M. Espósito,
  • E. C. Vaquero,
  • E. C. Vaquero,
  • E. C. Vaquero,
  • A. Ginès,
  • A. Ginès,
  • A. Ginès,
  • A. Ginès

DOI
https://doi.org/10.3389/fmolb.2023.1161893
Journal volume & issue
Vol. 10

Abstract

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Background: 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.

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