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Diagnostic method of mass spectrometry for detecting lymph node metastasis of non‐small cell lung cancer.

Authors :
Yoshimura, Ryuichi
Shigeeda, Wataru
Fujita, Yuji
Kokaji, Tetsuo
Deguchi, Hiroyuki
Tomoyasu, Makoto
Kudo, Satoshi
Kaneko, Yuka
Kanno, Hironaga
Iwai, Hidenobu
Mase, Tomohiko
Saito, Hajime
Source :
Thoracic Cancer. Jan2024, Vol. 15 Issue 3, p209-214. 6p.
Publication Year :
2024

Abstract

Background: Histopathology by pathologists is essential in the diagnosis of non‐small cell lung cancer (NSCLC). However, auxiliary diagnostic procedures for malignant tumor have continued to evolve. Despite the poor prognosis of patients with NSCLC, the application of the latest procedures and technologies to the field of lung cancer has lagged. Mass spectrometry was used to detect trace amounts of peptides in human tissue with high accuracy. The aim of this study was to establish a method for diagnostic mass spectrometry to identify lymph node metastasis by detecting cytokeratin (CK)19, a useful biomarker in lung cancer. Methods: We collected 81 lymph nodes with positive expression of CK19 in patients who underwent radical surgical resection in the Department of Thoracic Surgery at Iwate Medical University between May 2020 and December 2022. An X500R instrument was used for sample analysis. A positive result for lymph node metastasis as the detection at least two product ions (FGPGVAFR and ILGATIENSR) from CK19 was defined. Results: Our study indicated a high diagnostic efficiency for mass spectrometry, with 87.5% sensitivity and 91.2% specificity. The mutual concordance of mass spectrometry methods and histopathological diagnosis was 90.1%. Conclusions: Mass spectrometry offers high diagnostic accuracy and can be clinically applied to auxiliary diagnostic procedures for lymph node metastasis from NSCLC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17597706
Volume :
15
Issue :
3
Database :
Academic Search Index
Journal :
Thoracic Cancer
Publication Type :
Academic Journal
Accession number :
174934061
Full Text :
https://doi.org/10.1111/1759-7714.15179