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Early prediction of resistance to tyrosine kinase inhibitors by plasma monitoring of EGFR mutations in NSCLC: a new algorithm for patient selection and personalized treatment

In Non-Small-Cell Lung Cancer (NSCLC) patients treated with Tyrosine Kinase-Inhibitors (TKIs) therapy, the emergence of acquired resistance can be investigated by plasma monitoring of circulating tumor DNA (ctDNA). A series of 116 patients with EGFR-positive lung adenocarcinomas were treated with fi...

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Autores principales: Buttitta, Fiamma, Felicioni, Lara, Lorito, Alessia Di, Cortellini, Alessio, Irtelli, Luciana, Brocco, Davide, Marino, Pietro Di, Traisci, Donatella, D’Ostilio, Nicola, Paolo, Alessandra Di, Malorgio, Francesco, Assalone, Pasquale, Felice, Sonia Di, Fabbri, Francesca, Cianci, Giovanni, Tursi, Michele De, Marchetti, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082112/
https://www.ncbi.nlm.nih.gov/pubmed/32215186
http://dx.doi.org/10.18632/oncotarget.27517
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author Buttitta, Fiamma
Felicioni, Lara
Lorito, Alessia Di
Cortellini, Alessio
Irtelli, Luciana
Brocco, Davide
Marino, Pietro Di
Traisci, Donatella
D’Ostilio, Nicola
Paolo, Alessandra Di
Malorgio, Francesco
Assalone, Pasquale
Felice, Sonia Di
Fabbri, Francesca
Cianci, Giovanni
Tursi, Michele De
Marchetti, Antonio
author_facet Buttitta, Fiamma
Felicioni, Lara
Lorito, Alessia Di
Cortellini, Alessio
Irtelli, Luciana
Brocco, Davide
Marino, Pietro Di
Traisci, Donatella
D’Ostilio, Nicola
Paolo, Alessandra Di
Malorgio, Francesco
Assalone, Pasquale
Felice, Sonia Di
Fabbri, Francesca
Cianci, Giovanni
Tursi, Michele De
Marchetti, Antonio
author_sort Buttitta, Fiamma
collection PubMed
description In Non-Small-Cell Lung Cancer (NSCLC) patients treated with Tyrosine Kinase-Inhibitors (TKIs) therapy, the emergence of acquired resistance can be investigated by plasma monitoring of circulating tumor DNA (ctDNA). A series of 116 patients with EGFR-positive lung adenocarcinomas were treated with first/second generation EGFR TKIs. At clinical progression, 64 (55%) EGFR T790M plasma positive patients were subjected to second line-treatment with osimertinib and strictly monitored during the first month of therapy. Plasma analysis by the EGFR Cobas test showed in 57 (89%) cases a substantial decrease in the levels of the sensitizing EGFR mutant allele (sEGFRma), down to a not detectable value. These patients were defined as plasmatic good responders (PGR). In 7 (11%) patients, the sEGFRma did not drop to zero (plasmatic poor responders, PPR). In these latter cases, Massive Parallel Sequencing (MPS) analysis at the end of the first month and at clinical progression showed the presence of resistant-inducing mutations, including MET and HER2 gene amplification, KRAS and PIK3CA gene mutations. PPR showed disease progression in 5 (71%) cases, stable disease in 2 (29%) cases, and a shorter median Progression-free survival (PFS) (4.3 ± 1.1 months) than that observed in PGR (13.3 ± 1.2 months) (P < 0.0001). Our data indicate that plasma monitoring by a simple RT-PCR-based EGFR mutation test in the first month of treatment may be useful for a rapid identification of patients to be subjected to further characterization by MPS. A diagnostic algorithm for an early detection of resistance-inducing mutations and patient management is reported.
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spelling pubmed-70821122020-03-25 Early prediction of resistance to tyrosine kinase inhibitors by plasma monitoring of EGFR mutations in NSCLC: a new algorithm for patient selection and personalized treatment Buttitta, Fiamma Felicioni, Lara Lorito, Alessia Di Cortellini, Alessio Irtelli, Luciana Brocco, Davide Marino, Pietro Di Traisci, Donatella D’Ostilio, Nicola Paolo, Alessandra Di Malorgio, Francesco Assalone, Pasquale Felice, Sonia Di Fabbri, Francesca Cianci, Giovanni Tursi, Michele De Marchetti, Antonio Oncotarget Research Paper In Non-Small-Cell Lung Cancer (NSCLC) patients treated with Tyrosine Kinase-Inhibitors (TKIs) therapy, the emergence of acquired resistance can be investigated by plasma monitoring of circulating tumor DNA (ctDNA). A series of 116 patients with EGFR-positive lung adenocarcinomas were treated with first/second generation EGFR TKIs. At clinical progression, 64 (55%) EGFR T790M plasma positive patients were subjected to second line-treatment with osimertinib and strictly monitored during the first month of therapy. Plasma analysis by the EGFR Cobas test showed in 57 (89%) cases a substantial decrease in the levels of the sensitizing EGFR mutant allele (sEGFRma), down to a not detectable value. These patients were defined as plasmatic good responders (PGR). In 7 (11%) patients, the sEGFRma did not drop to zero (plasmatic poor responders, PPR). In these latter cases, Massive Parallel Sequencing (MPS) analysis at the end of the first month and at clinical progression showed the presence of resistant-inducing mutations, including MET and HER2 gene amplification, KRAS and PIK3CA gene mutations. PPR showed disease progression in 5 (71%) cases, stable disease in 2 (29%) cases, and a shorter median Progression-free survival (PFS) (4.3 ± 1.1 months) than that observed in PGR (13.3 ± 1.2 months) (P < 0.0001). Our data indicate that plasma monitoring by a simple RT-PCR-based EGFR mutation test in the first month of treatment may be useful for a rapid identification of patients to be subjected to further characterization by MPS. A diagnostic algorithm for an early detection of resistance-inducing mutations and patient management is reported. Impact Journals LLC 2020-03-17 /pmc/articles/PMC7082112/ /pubmed/32215186 http://dx.doi.org/10.18632/oncotarget.27517 Text en http://creativecommons.org/licenses/by/3.0/ Copyright: Buttitta et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Buttitta, Fiamma
Felicioni, Lara
Lorito, Alessia Di
Cortellini, Alessio
Irtelli, Luciana
Brocco, Davide
Marino, Pietro Di
Traisci, Donatella
D’Ostilio, Nicola
Paolo, Alessandra Di
Malorgio, Francesco
Assalone, Pasquale
Felice, Sonia Di
Fabbri, Francesca
Cianci, Giovanni
Tursi, Michele De
Marchetti, Antonio
Early prediction of resistance to tyrosine kinase inhibitors by plasma monitoring of EGFR mutations in NSCLC: a new algorithm for patient selection and personalized treatment
title Early prediction of resistance to tyrosine kinase inhibitors by plasma monitoring of EGFR mutations in NSCLC: a new algorithm for patient selection and personalized treatment
title_full Early prediction of resistance to tyrosine kinase inhibitors by plasma monitoring of EGFR mutations in NSCLC: a new algorithm for patient selection and personalized treatment
title_fullStr Early prediction of resistance to tyrosine kinase inhibitors by plasma monitoring of EGFR mutations in NSCLC: a new algorithm for patient selection and personalized treatment
title_full_unstemmed Early prediction of resistance to tyrosine kinase inhibitors by plasma monitoring of EGFR mutations in NSCLC: a new algorithm for patient selection and personalized treatment
title_short Early prediction of resistance to tyrosine kinase inhibitors by plasma monitoring of EGFR mutations in NSCLC: a new algorithm for patient selection and personalized treatment
title_sort early prediction of resistance to tyrosine kinase inhibitors by plasma monitoring of egfr mutations in nsclc: a new algorithm for patient selection and personalized treatment
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082112/
https://www.ncbi.nlm.nih.gov/pubmed/32215186
http://dx.doi.org/10.18632/oncotarget.27517
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