Targeted transcriptomic analysis of pancreatic adenocarcinoma in EUS-FNA samples by NanoString technology
Title: | Targeted transcriptomic analysis of pancreatic adenocarcinoma in EUS-FNA samples by NanoString technology |
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Authors: | L. Pedrosa, I. K. Araujo, M. Cuatrecasas, G. Soy, S. López, J. Maurel, C. Sánchez-Montes, C. Montironi, T. Saurí, O. Sendino, F. M. Pérez, F. Ausania, G. Fernández-Esparrach, F. M. Espósito, E. C. Vaquero, A. Ginès |
Source: | Frontiers in Molecular Biosciences, Vol 10 (2023) |
Publisher Information: | Frontiers Media S.A., 2023. |
Publication Year: | 2023 |
Collection: | LCC:Biology (General) |
Subject Terms: | pancreatic adenocarcinoma, EUS-FNA, NanoString technology, tumour stroma, transcriptomic analysis, Biology (General), QH301-705.5 |
More Details: | 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. |
Document Type: | article |
File Description: | electronic resource |
Language: | English |
ISSN: | 2296-889X |
Relation: | https://www.frontiersin.org/articles/10.3389/fmolb.2023.1161893/full; https://doaj.org/toc/2296-889X |
DOI: | 10.3389/fmolb.2023.1161893 |
Access URL: | https://doaj.org/article/bd781e11ebac4838b6d93f1bb894f47a |
Accession Number: | edsdoj.bd781e11ebac4838b6d93f1bb894f47a |
Database: | Directory of Open Access Journals |
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Saurí</searchLink><br /><searchLink fieldCode="AR" term="%22O%2E+Sendino%22">O. Sendino</searchLink><br /><searchLink fieldCode="AR" term="%22F%2E+M%2E+Pérez%22">F. M. Pérez</searchLink><br /><searchLink fieldCode="AR" term="%22F%2E+Ausania%22">F. Ausania</searchLink><br /><searchLink fieldCode="AR" term="%22G%2E+Fernández-Esparrach%22">G. Fernández-Esparrach</searchLink><br /><searchLink fieldCode="AR" term="%22F%2E+M%2E+Espósito%22">F. M. Espósito</searchLink><br /><searchLink fieldCode="AR" term="%22E%2E+C%2E+Vaquero%22">E. C. Vaquero</searchLink><br /><searchLink fieldCode="AR" term="%22A%2E+Ginès%22">A. Ginès</searchLink> – Name: TitleSource Label: Source Group: Src Data: Frontiers in Molecular Biosciences, Vol 10 (2023) – Name: Publisher Label: Publisher Information Group: PubInfo Data: Frontiers Media S.A., 2023. – Name: DatePubCY Label: Publication Year Group: Date Data: 2023 – Name: Subset Label: Collection Group: HoldingsInfo Data: LCC:Biology (General) – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22pancreatic+adenocarcinoma%22">pancreatic adenocarcinoma</searchLink><br /><searchLink fieldCode="DE" term="%22EUS-FNA%22">EUS-FNA</searchLink><br /><searchLink fieldCode="DE" term="%22NanoString+technology%22">NanoString technology</searchLink><br /><searchLink fieldCode="DE" term="%22tumour+stroma%22">tumour stroma</searchLink><br /><searchLink fieldCode="DE" term="%22transcriptomic+analysis%22">transcriptomic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Biology+%28General%29%22">Biology (General)</searchLink><br /><searchLink fieldCode="DE" term="%22QH301-705%2E5%22">QH301-705.5</searchLink> – Name: Abstract Label: Description Group: Ab Data: 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. – Name: TypeDocument Label: Document Type Group: TypDoc Data: article – Name: Format Label: File Description Group: SrcInfo Data: electronic resource – Name: Language Label: Language Group: Lang Data: English – Name: ISSN Label: ISSN Group: ISSN Data: 2296-889X – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: https://www.frontiersin.org/articles/10.3389/fmolb.2023.1161893/full; https://doaj.org/toc/2296-889X – Name: DOI Label: DOI Group: ID Data: 10.3389/fmolb.2023.1161893 – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://doaj.org/article/bd781e11ebac4838b6d93f1bb894f47a" linkWindow="_blank">https://doaj.org/article/bd781e11ebac4838b6d93f1bb894f47a</link> – Name: AN Label: Accession Number Group: ID Data: edsdoj.bd781e11ebac4838b6d93f1bb894f47a |
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RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fmolb.2023.1161893 Languages: – Text: English Subjects: – SubjectFull: pancreatic adenocarcinoma Type: general – SubjectFull: EUS-FNA Type: general – SubjectFull: NanoString technology Type: general – SubjectFull: tumour stroma Type: general – SubjectFull: transcriptomic analysis Type: general – SubjectFull: Biology (General) Type: general – SubjectFull: QH301-705.5 Type: general Titles: – TitleFull: Targeted transcriptomic analysis of pancreatic adenocarcinoma in EUS-FNA samples by NanoString technology Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: L. Pedrosa – PersonEntity: Name: NameFull: I. K. Araujo – PersonEntity: Name: NameFull: M. Cuatrecasas – PersonEntity: Name: NameFull: G. Soy – PersonEntity: Name: NameFull: S. López – PersonEntity: Name: NameFull: J. Maurel – PersonEntity: Name: NameFull: C. Sánchez-Montes – PersonEntity: Name: NameFull: C. Montironi – PersonEntity: Name: NameFull: T. Saurí – PersonEntity: Name: NameFull: O. Sendino – PersonEntity: Name: NameFull: F. M. Pérez – PersonEntity: Name: NameFull: F. Ausania – PersonEntity: Name: NameFull: G. Fernández-Esparrach – PersonEntity: Name: NameFull: F. M. Espósito – PersonEntity: Name: NameFull: E. C. Vaquero – PersonEntity: Name: NameFull: A. Ginès IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 2296889X Numbering: – Type: volume Value: 10 Titles: – TitleFull: Frontiers in Molecular Biosciences Type: main |
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