Molecular Typing of Lung Adenocarcinoma on Cytological Samples Using a Multigene Next Generation Sequencing Panel

Aldo Scarpa(University of Verona), Katarzyna Sikora(University of Verona), Matteo Fassan(University of Verona), Anna Maria Rachiglio, Rocco Cappellesso(University of Padua), Davide Antonello(University of Verona), Eliana Amato(University of Verona), Andrea Mafficini(University of Verona), Matilde Lambiase, Claudia Esposito, Emilio Bria(University of Verona), Francesca Simonato(University of Padua), Maria Scardoni(University of Verona), Giona Turri(University of Verona), Marco Chilosi(University of Verona), Giampaolo Tortora(University of Verona), Ambrogio Fassina(University of Padua), Nicola Normanno(Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale")
PLoS ONE
November 13, 2013
Cited by 113Open Access
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Abstract

Identification of driver mutations in lung adenocarcinoma has led to development of targeted agents that are already approved for clinical use or are in clinical trials. Therefore, the number of biomarkers that will be needed to assess is expected to rapidly increase. This calls for the implementation of methods probing the mutational status of multiple genes for inoperable cases, for which limited cytological or bioptic material is available. Cytology specimens from 38 lung adenocarcinomas were subjected to the simultaneous assessment of 504 mutational hotspots of 22 lung cancer-associated genes using 10 nanograms of DNA and Ion Torrent PGM next-generation sequencing. Thirty-six cases were successfully sequenced (95%). In 24/36 cases (67%) at least one mutated gene was observed, including EGFR, KRAS, PIK3CA, BRAF, TP53, PTEN, MET, SMAD4, FGFR3, STK11, MAP2K1. EGFR and KRAS mutations, respectively found in 6/36 (16%) and 10/36 (28%) cases, were mutually exclusive. Nine samples (25%) showed concurrent alterations in different genes. The next-generation sequencing test used is superior to current standard methodologies, as it interrogates multiple genes and requires limited amounts of DNA. Its applicability to routine cytology samples might allow a significant increase in the fraction of lung cancer patients eligible for personalized therapy.


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