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A Critical Issue in Lung Cancer Cytology and Small Biopsies: DNA and RNA Extraction from Archival Stained Slides for Biomarker Detection through Real Time PCR and NGSā€”The Experience in Pathological Anatomy Unit

Authors :
Giuseppa Zannini
Ilaria Tedesco
Immacolata Cozzolino
Marco Montella
Eduardo Clery
Carminia Maria Della Corte
Floriana Morgillo
Marina Accardo
Renato Franco
Federica Zito Marino
Zannini, Giuseppa
Tedesco, Ilaria
Cozzolino, Immacolata
Montella, Marco
Clery, Eduardo
Della Corte, Carminia Maria
Morgillo, Floriana
Accardo, Marina
Franco, Renato
Zito Marino, Federica
Source :
Diagnostics; Volume 13; Issue 9; Pages: 1637
Publication Year :
2023
Publisher :
Multidisciplinary Digital Publishing Institute, 2023.

Abstract

The handling of biomaterials is crucial for precision medicine in advanced-stage lung patients with only cytology or small biopsies available. The main purpose of the study was to evaluate the quantity and quality of nucleic acids extracted from mixed stained slides (MSSs), including H&E, IHC and FISH, compared to the extraction from unstained slides (USs). A series of 35 lung adenocarcinoma surgical samples was selected to set up the method and the technical approach was validated in a series of 15 small biopsies and 38 cytological samples. DNA extracted from MSSs was adequate in all samples and the Real Time PCR was successful in 30/35 surgical samples (86%), 14/15 small biopsies (93%), and 33/38 cytological samples (87%). NGS using DNA extracted from MSSs was successful in 18/35 surgical samples (51%), 11/15 small biopsies (73%), and 26/38 cytological samples (68%). RNA extracted from MSSs was unsatisfactory in all cases showing an inadequate degree of fragmentation. Our technical approach based on the recovery of stained slides could represent a strategic way forward for DNA-based biomarker testing in lung cancer cases without biomaterials. The RNA extracted from MSSs did not represent a successful approach.

Details

Language :
English
ISSN :
20754418
Database :
OpenAIRE
Journal :
Diagnostics; Volume 13; Issue 9; Pages: 1637
Accession number :
edsair.doi.dedup.....9b26a970caf62fc643d6200049aea34d
Full Text :
https://doi.org/10.3390/diagnostics13091637