4.6 Article

Is Methionyl-tRNA Synthetase Applicable as a Diagnostic Marker for Lung Cancer in Bronchial Ultrasound-Guided Brushing Cells?

Journal

DIAGNOSTICS
Volume 11, Issue 10, Pages -

Publisher

MDPI
DOI: 10.3390/diagnostics11101830

Keywords

aminoacyl-tRNA synthetase; aminoacyl-tRNA synthetase interacting multi-functional protein 2; aminoacyl-tRNA synthetase interacting multi-functional protein 2-exon 2 deletion; lung cancer

Funding

  1. National Research Foundation of Korea (NRF) grant from the Korea government (MSIT) [NRF-2018M3A9F7062524]

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The combination of MARS staining with conventional cytology showed increased diagnostic accuracy for diagnosing lung nodules suspected of lung cancer on chest-computed tomography scans.
Background and objective: Methionyl-tRNA synthetase (MARS) and A variant of Aminoacyl-tRNA synthetase interacting multifunctional protein 2 (AIMP2) with an exon 2 deletion (AIMP2-DX2) are known to be overexpressed in lung cancer. However, their role as diagnostic markers in lung cancer has not been well established. Thus, we evaluated their diagnostic performance in brushed cells obtained from nodular lung lesions suspected of lung cancer. Methods: Samples obtained by radial endobronchial ultrasound-guided brushing were processed for cytological examination with Papanicolaou (Pap) staining. Then, double IF staining with MARS and AIMP2-DX2 antibodies was measured in the cytology samples for peripheral lung nodules. The diagnostic performance was compared against biomarkers. Results: MARS IF staining was the only independent staining method used for the prediction of malignant cells. The area under the curve (AUC) of conventional cytology, MARS IF, and MARS IF plus cytology was 0.64, 0.68, and 0.69, respectively. The diagnostic accuracy was increased in MARS IF plus conventional cytology compared with cytology alone (71% vs. 47%). Conclusions: The combination of MARS staining with conventional cytology showed increases in the diagnostic accuracy for diagnosing lung nodules suspected of lung cancer on chest-computed tomography scans.

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