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Molecular Profiling for Supernatants and Matched Cell Pellets of Pleural Effusions in Non–Small-Cell Lung Cancer

Authors :
Chan Xiang
Jie Zhang
Ruiying Zhao
Mingfei Huo
Lianying Guo
Shengji Ma
Yuchen Han
Haohua Teng
Source :
The Journal of Molecular Diagnostics. 22:513-522
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Pleural effusion (PE) is commonly observed in advanced lung cancer patients. Cell-free total nucleic acid (cfTNA) isolated from cancer patients' plasma has allowed noninvasive tumor genome analyses; however, there are limited studies of detection and characterization of cfTNA in PE. Herein, we included 47 advanced non-small-cell lung cancer patients with PE, who had lung cancer driver mutations tested on tumor tissue specimens either at diagnosis or during disease progression. The supernatant and cell pellet of each PE were evaluated for molecular profiles in parallel on an Ion Torrent next-generation sequencing platform. Somatic mutations were detected in 89.1% supernatant cfTNA, but in only 54.3% of cell pellets. The overall concordance rate between supernatants and formalin-fixed, paraffin-embedded cell pellets at the mutation level was 53.3%. By contrast, 41.7% and 5.0% of somatic alterations were detected in supernatants and cell pellets, respectively. Furthermore, joint analysis of supernatants and cell pellets from PE showed a high concordance (88.3%) of variant detection with their respective tumor tissue specimens. Low-frequency T790M mutations in three cases (0.29%, 0.41%, and 1.56%) were detected in supernatants but not in the matched cell pellets or tumor tissues. In conclusion, pleural effusion-derived cfTNA can effectively be used in clinical practice for molecular analysis by next-generation sequencing, even in cases where corresponding cell pellets or tumor tissues yield insufficient material.

Details

ISSN :
15251578
Volume :
22
Database :
OpenAIRE
Journal :
The Journal of Molecular Diagnostics
Accession number :
edsair.doi.dedup.....8cdafa1058e5ab17371ae38e3b5b7101
Full Text :
https://doi.org/10.1016/j.jmoldx.2020.01.011