MSI-H Detection by ddPCR in Endoscopic Ultrasound Fine Needle Biopsy (EUS-FNB) from Pancreatic Ductal Adenocarcinoma.


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
15 Oct 2024
Historique:
received: 30 07 2024
revised: 11 10 2024
accepted: 13 10 2024
medline: 26 10 2024
pubmed: 26 10 2024
entrez: 26 10 2024
Statut: epublish

Résumé

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive disease with limited survival. Curative opportunities are only available for patients with resectable cancer. Palliative chemotherapy is the current standard of care for unresectable tumors. Numerous efforts have been made to investigate new therapeutic strategies for PDAC. Immunotherapy has been found to be effective in treating tumors with high microsatellite instability (MSI-H), including PDAC. The ability of the Endoscopic Ultrasound Fine Needle Biopsy (EUS-FNB) to reliably collect tissue could enhance new personalized treatment by permitting genomic alterations analysis. The aim of this study was to investigate the feasibility of obtaining adequate DNA for molecular analysis from EUS-FNB formalin-fixed-paraffin-embedded (FFPE) specimens. For this purpose, FFPE-DNA obtained from 43 PDAC archival samples was evaluated to verify adequacy in terms of quantity and quality and was tested to evaluate MSI-H status by droplet digital PCR (ddPCR). All samples were suitable for ddPCR analysis. Unlike the 1-2% MSI-H frequency found with traditional techniques, ddPCR detected this phenotype in 16.28% of cases. This study suggests the ddPCR ability to identify MSI-H phenotype, with the possibility of improving the selection of patients who may benefit from immunotherapy and who would be excluded by performing traditional diagnostic methods.

Identifiants

pubmed: 39456871
pii: ijms252011090
doi: 10.3390/ijms252011090
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Italian Ministry of Health Ricerca Corrente
ID : Italian Ministry of Health Ricerca Corrente

Auteurs

Maria Assunta Piano (MA)

Immunology and Molecular Oncology Diagnostics Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

Elisa Boldrin (E)

Immunology and Molecular Oncology Diagnostics Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

Lidia Moserle (L)

Immunology and Molecular Oncology Diagnostics Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

Nicoletta Salerno (N)

Immunology and Molecular Oncology Diagnostics Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

Dalila Fanelli (D)

IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.

Giulia Peserico (G)

Gastroenterology Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

Maria Raffaella Biasin (MR)

Anatomy and Pathological Histology Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

Giovanna Magni (G)

Clinical Research Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

Veronica Varano (V)

Immunology and Molecular Oncology Diagnostics Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

Giorgia Zalgelli (G)

Anatomy and Pathological Histology Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

Vasileios Mourmouras (V)

Anatomy and Pathological Histology Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

Antonio Rosato (A)

Immunology and Molecular Oncology Diagnostics Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.
Department of Surgery Oncology and Gastroenterology, University of Padova, 35122 Padova, Italy.

Antonio Scapinello (A)

Anatomy and Pathological Histology Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

Alberto Fantin (A)

Gastroenterology Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

Matteo Curtarello (M)

Immunology and Molecular Oncology Diagnostics Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.

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Classifications MeSH