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-Reference-Cited by-同舟云学术

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

Published:2020-03-17 Issue:11 Volume:11 Page:982-991
ISSN:1949-2553
Container-title:Oncotarget
language:en
Short-container-title:Oncotarget

Author:

Buttitta Fiamma¹²³,Felicioni Lara³,Lorito Alessia Di²,Cortellini Alessio⁴,Irtelli Luciana⁵,Brocco Davide⁵,Marino Pietro Di⁵,Traisci Donatella⁶,D’Ostilio Nicola⁶,Paolo Alessandra Di⁷,Malorgio Francesco⁷,Assalone Pasquale⁸,Felice Sonia Di⁹,Fabbri Francesca⁹,Cianci Giovanni⁹,Tursi Michele De²⁵,Marchetti Antonio¹²³

Affiliation:

1. Laboratory of Diagnostic Molecular Oncology, Center for Advanced Studies and Technology (CAST), University of Chieti, Chieti, Italy

2. Department of Medical and Oral Sciences and Biotechnologies, University of Chieti, Chieti, Italy

3. Department of Pathology, SS Annunziata Clinical Hospital, Chieti, Italy

4. Department of Oncology, San Salvatore Hospital, L’Aquila, Italy

5. Department of Oncology, SS Annunziata Clinical Hospital, Chieti, Italy

6. Department of Oncology, Floraspe Renzetti Hospital, Lanciano, Italy

7. Department of Oncology, Spirito Santo Hospital, Pescara, Italy

8. Department of Oncology, “S.S. Giovanni Paolo II” Veneziale Hospital, Isernia, Italy

9. Department of Oncology, Giuseppe Mazzini Hospital, Teramo, Italy

Publisher

Impact Journals, LLC

Subject

Oncology

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