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Analysis of targeted somatic mutations in pleomorphic carcinoma of the lung using next‐generation sequencing technique

Authors :
Saki Manabe
Rika Kasajima
Shuji Murakami
Yohei Miyagi
Tomoyuki Yokose
Tetsuro Kondo
Haruhiro Saito
Hiroyuki Ito
Takeshi Kaneko
Kouzo Yamada
Source :
Thoracic Cancer, Vol 11, Iss 8, Pp 2262-2269 (2020)
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

Abstract Background Pleomorphic carcinoma (PC) of the lung is a rare type of lung cancer with aggressive characteristics and a poor prognosis. Because it is rare, the molecular characteristics of PC remain unclear. Methods A gene mutation analysis was performed using next‐generation sequencing (NGS) in patients with PC of the lung who had undergone surgical resection. Results A total of nine patients were enrolled in the study. All the patients were male and eight had a history of smoking. Eight tumors contained spindle cells and three contained giant cells. Mutations considered significant were found in eight of the nine patients: in TP53 in five patients, in MET in two patients, and in ALK, ERBB2, PIK3CA, APC, NF1, and CDKN2A in one patient each. No EGFR mutation was detected in our analysis. Co‐mutations were detected in three patients: TP53 with MET and NF1, TP53 with ERBB2, and PIK3CA with CDKN2A. Conclusions TP53 mutations were detected most frequently in PC of the lung with NGS analysis. Different co‐mutations were seen in several specimens. Key points Significant findings of the study This study demonstrates that mutations in the TP53 gene are frequently found and co‐mutations are sometimes found in pleomorphic carcinoma of the lung using genomic profiling analysis. What this study adds Our results will help to analogize the genetic characteristics and potential target of molecular‐targeted agents of pleomorphic carcinoma of the lung.

Details

Language :
English
ISSN :
17597714 and 17597706
Volume :
11
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Thoracic Cancer
Publication Type :
Academic Journal
Accession number :
edsdoj.709551bc4dfa4a30b7bc7f0e24cba5f3
Document Type :
article
Full Text :
https://doi.org/10.1111/1759-7714.13536