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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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Autores principales: Zito Marino, Federica, Pagliuca, Francesca, Ronchi, Andrea, Cozzolino, Immacolata, Montella, Marco, Berretta, Massimiliano, Errico, Maria Elena, Donofrio, Vittoria, Bianco, Roberto, Franco, Renato
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7279365/
https://www.ncbi.nlm.nih.gov/pubmed/32466202
http://dx.doi.org/10.3390/ijms21103718
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author Zito Marino, Federica
Pagliuca, Francesca
Ronchi, Andrea
Cozzolino, Immacolata
Montella, Marco
Berretta, Massimiliano
Errico, Maria Elena
Donofrio, Vittoria
Bianco, Roberto
Franco, Renato
author_facet Zito Marino, Federica
Pagliuca, Francesca
Ronchi, Andrea
Cozzolino, Immacolata
Montella, Marco
Berretta, Massimiliano
Errico, Maria Elena
Donofrio, Vittoria
Bianco, Roberto
Franco, Renato
author_sort Zito Marino, Federica
collection PubMed
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.
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spelling pubmed-72793652020-06-17 NTRK Fusions, from the Diagnostic Algorithm to Innovative Treatment in the Era of Precision Medicine Zito Marino, Federica Pagliuca, Francesca Ronchi, Andrea Cozzolino, Immacolata Montella, Marco Berretta, Massimiliano Errico, Maria Elena Donofrio, Vittoria Bianco, Roberto Franco, Renato Int J Mol Sci Review 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. MDPI 2020-05-25 /pmc/articles/PMC7279365/ /pubmed/32466202 http://dx.doi.org/10.3390/ijms21103718 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Zito Marino, Federica
Pagliuca, Francesca
Ronchi, Andrea
Cozzolino, Immacolata
Montella, Marco
Berretta, Massimiliano
Errico, Maria Elena
Donofrio, Vittoria
Bianco, Roberto
Franco, Renato
NTRK Fusions, from the Diagnostic Algorithm to Innovative Treatment in the Era of Precision Medicine
title 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_short 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
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7279365/
https://www.ncbi.nlm.nih.gov/pubmed/32466202
http://dx.doi.org/10.3390/ijms21103718
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