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Epidermal growth factor receptor exon 20 insertion variants in non-small cell lung cancer patients

Authors :
Malapelle, U
Pilotto, S
Reale, M
Passiglia, F
Pisapia, P
Pepe, F
Belluomini, L
Galetta, D
Cortinovis, D
Tiseo, M
Passaro, A
Seminati, D
Pagni, F
Parra, H
Migliorino, M
Rocco, D
Troncone, G
Novello, S
Malapelle U.
Pilotto S.
Reale M. L.
Passiglia F.
Pisapia P.
Pepe F.
Belluomini L.
Galetta D.
Cortinovis D.
Tiseo M.
Passaro A.
Seminati D.
Pagni F.
Parra H. S.
Migliorino M. R.
Rocco D.
Troncone G.
Novello S.
Malapelle, U
Pilotto, S
Reale, M
Passiglia, F
Pisapia, P
Pepe, F
Belluomini, L
Galetta, D
Cortinovis, D
Tiseo, M
Passaro, A
Seminati, D
Pagni, F
Parra, H
Migliorino, M
Rocco, D
Troncone, G
Novello, S
Malapelle U.
Pilotto S.
Reale M. L.
Passiglia F.
Pisapia P.
Pepe F.
Belluomini L.
Galetta D.
Cortinovis D.
Tiseo M.
Passaro A.
Seminati D.
Pagni F.
Parra H. S.
Migliorino M. R.
Rocco D.
Troncone G.
Novello S.
Publication Year :
2022

Abstract

Epidermal growth factor receptor (EGFR) exon 20 insertions occur rarely among different cancer types, with the highest frequency reported among non-small-cell lung cancer (NSCLC) patients, particularly adenocarcinomas (ADCs). Exon 20 insertions fall back in the tyrosine kinase domain, and can be clustered into two principal groups represented by in frame insertions and three to 21 bp (corresponding to 1–7 amino acids) duplications within amino acids 762 and 774. The identification of these alterations is key for an adequate management of NSCLC patients due to the possibility to treat these patients with specific targeted therapies. Next generation sequencing (NGS) technology, able to detect several hotspot gene mutations for different patients simultaneously, is the best detection approach due to its higher sensitivity and specificity compared to other techniques. Here we reviewed the principal biological characteristics, the main detection technologies and treatment options for NSCLC patients harbouring EGFR exon 20 insertions.

Details

Database :
OAIster
Notes :
STAMPA, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1343244928
Document Type :
Electronic Resource