NTRK Fusions, from the Diagnostic Algorithm to Innovative Treatment in the Era of Precision Medicine

In the era of precision medicine, the identification of several predictive biomarkers and the development of innovative therapies have dramatically increased the request of tests to identify specific targets on cytological or histological samples, revolutionizing the management of the tumoral biomat...

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Main Authors: Federica Zito Marino, Francesca Pagliuca, Andrea Ronchi, Immacolata Cozzolino, Marco Montella, Massimiliano Berretta, Maria Elena Errico, Vittoria Donofrio, Roberto Bianco, Renato Franco
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:International Journal of Molecular Sciences
Subjects:
NGS
Online Access:https://www.mdpi.com/1422-0067/21/10/3718
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spelling doaj-9b0b540fa1db4606bc045cc13c3c7d9a2020-11-25T03:22:58ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672020-05-01213718371810.3390/ijms21103718NTRK Fusions, from the Diagnostic Algorithm to Innovative Treatment in the Era of Precision MedicineFederica Zito Marino0Francesca Pagliuca1Andrea Ronchi2Immacolata Cozzolino3Marco Montella4Massimiliano Berretta5Maria Elena Errico6Vittoria Donofrio7Roberto Bianco8Renato Franco9Pathology Unit, Department of Mental and Physic Health and Preventive Medicine, University of Campania ‘Luigi Vanvitelli’ Complesso di Santa Patrizia, Via Luciano Armanni, 580131 Naples, ItalyPathology Unit, Department of Mental and Physic Health and Preventive Medicine, University of Campania ‘Luigi Vanvitelli’ Complesso di Santa Patrizia, Via Luciano Armanni, 580131 Naples, ItalyPathology Unit, Department of Mental and Physic Health and Preventive Medicine, University of Campania ‘Luigi Vanvitelli’ Complesso di Santa Patrizia, Via Luciano Armanni, 580131 Naples, ItalyPathology Unit, Department of Mental and Physic Health and Preventive Medicine, University of Campania ‘Luigi Vanvitelli’ Complesso di Santa Patrizia, Via Luciano Armanni, 580131 Naples, ItalyPathology Unit, Department of Mental and Physic Health and Preventive Medicine, University of Campania ‘Luigi Vanvitelli’ Complesso di Santa Patrizia, Via Luciano Armanni, 580131 Naples, ItalyDepartment of Medical Oncology, Istituto Nazionale Tumori (IRCCS), Centro di Riferimento Oncologico di Aviano, Via Franco Gallini 2, 33081 Aviano (PN) ItalyPathology Unit Department of Pathology, Santobono-Pausilipon Children’s Hospital, Via Posillipo, 80123 Naples, ItalyPathology Unit Department of Pathology, Santobono-Pausilipon Children’s Hospital, Via Posillipo, 80123 Naples, ItalyOncology Unit, Department of Clinical Medicine and Surgery, University of Naples “Federico II”, Via Pansini, 80131 Naples, ItalyPathology Unit, Department of Mental and Physic Health and Preventive Medicine, University of Campania ‘Luigi Vanvitelli’ Complesso di Santa Patrizia, Via Luciano Armanni, 580131 Naples, ItalyIn the era of precision medicine, the identification of several predictive biomarkers and the development of innovative therapies have dramatically increased the request of tests to identify specific targets on cytological or histological samples, revolutionizing the management of the tumoral biomaterials. The Food and Drug Administration (FDA) has recently approved a selective neurotrophic tyrosine receptor kinase (NTRK) inhibitor, larotrectinib. Contemporarily, the development of multi-kinase inhibitors with activity in tumors carrying TRK fusions is ongoing. Chromosomal translocations involving the NTRK1, NTRK2, and NTRK3 genes result in constitutive activation and aberrant expression of TRK kinases in numerous cancer types. In this context, the identification of tumors harboring TRK fusions is crucial. Several methods of detection are currently available. We revise the advantages and disadvantages of different techniques used for identifying TRK alterations, including immunohistochemistry, fluorescence in situ hybridization, reverse transcriptase polymerase chain reaction, and next generation sequencing-based approaches. Finally, we propose a diagnostic algorithm based on histology and the relative frequency of TRK fusions in each specific tumor, considering also the economic feasibility in the clinical practice.https://www.mdpi.com/1422-0067/21/10/3718neurotrophic tyrosine receptor kinase (NTRK) fusionsNTRK1NTRK2NTRK3ETV6-NTRK3NGS
collection DOAJ
language English
format Article
sources DOAJ
author Federica Zito Marino
Francesca Pagliuca
Andrea Ronchi
Immacolata Cozzolino
Marco Montella
Massimiliano Berretta
Maria Elena Errico
Vittoria Donofrio
Roberto Bianco
Renato Franco
spellingShingle Federica Zito Marino
Francesca Pagliuca
Andrea Ronchi
Immacolata Cozzolino
Marco Montella
Massimiliano Berretta
Maria Elena Errico
Vittoria Donofrio
Roberto Bianco
Renato Franco
NTRK Fusions, from the Diagnostic Algorithm to Innovative Treatment in the Era of Precision Medicine
International Journal of Molecular Sciences
neurotrophic tyrosine receptor kinase (NTRK) fusions
NTRK1
NTRK2
NTRK3
ETV6-NTRK3
NGS
author_facet Federica Zito Marino
Francesca Pagliuca
Andrea Ronchi
Immacolata Cozzolino
Marco Montella
Massimiliano Berretta
Maria Elena Errico
Vittoria Donofrio
Roberto Bianco
Renato Franco
author_sort Federica Zito Marino
title NTRK Fusions, from the Diagnostic Algorithm to Innovative Treatment in the Era of Precision Medicine
title_short NTRK Fusions, from the Diagnostic Algorithm to Innovative Treatment in the Era of Precision Medicine
title_full NTRK Fusions, from the Diagnostic Algorithm to Innovative Treatment in the Era of Precision Medicine
title_fullStr NTRK Fusions, from the Diagnostic Algorithm to Innovative Treatment in the Era of Precision Medicine
title_full_unstemmed NTRK Fusions, from the Diagnostic Algorithm to Innovative Treatment in the Era of Precision Medicine
title_sort ntrk fusions, from the diagnostic algorithm to innovative treatment in the era of precision medicine
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1661-6596
1422-0067
publishDate 2020-05-01
description In the era of precision medicine, the identification of several predictive biomarkers and the development of innovative therapies have dramatically increased the request of tests to identify specific targets on cytological or histological samples, revolutionizing the management of the tumoral biomaterials. The Food and Drug Administration (FDA) has recently approved a selective neurotrophic tyrosine receptor kinase (NTRK) inhibitor, larotrectinib. Contemporarily, the development of multi-kinase inhibitors with activity in tumors carrying TRK fusions is ongoing. Chromosomal translocations involving the NTRK1, NTRK2, and NTRK3 genes result in constitutive activation and aberrant expression of TRK kinases in numerous cancer types. In this context, the identification of tumors harboring TRK fusions is crucial. Several methods of detection are currently available. We revise the advantages and disadvantages of different techniques used for identifying TRK alterations, including immunohistochemistry, fluorescence in situ hybridization, reverse transcriptase polymerase chain reaction, and next generation sequencing-based approaches. Finally, we propose a diagnostic algorithm based on histology and the relative frequency of TRK fusions in each specific tumor, considering also the economic feasibility in the clinical practice.
topic neurotrophic tyrosine receptor kinase (NTRK) fusions
NTRK1
NTRK2
NTRK3
ETV6-NTRK3
NGS
url https://www.mdpi.com/1422-0067/21/10/3718
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