Literature DB >> 29363841

A Combined test using both cell sediment and supernatant cell-free DNA in pleural effusion shows increased sensitivity in detecting activating EGFR mutation in lung cancer patients.

A Kawahara1, C Fukumitsu1, K Azuma2, T Taira1, H Abe1, Y Takase1, K Murata1, E Sadashima3, S Hattori4, Y Naito1, J Akiba1.   

Abstract

INTRODUCTION: The aim of this study was to examine whether a combined test using both cell sediment and supernatant cytology cell-free DNA (ccfDNA) is more useful in detecting EGFR mutation than using cell sediment DNA or supernatant ccfDNA alone in pleural effusion of lung cancer patients.
METHODS: A total of 74 lung adenocarcinoma patients with paired samples between primary tumour and corresponding metastatic tumour with both cell sediment and supernatant ccfDNA of pleural effusion cytology were enrolled in this study. Cell sediment and supernatant ccfDNA were analysed separately for EGFR mutations by polymerase chain reaction.
RESULTS: Out of 45 patients with mutant EGFR in primary tumours, EGFR mutations were detected in 23 cell sediments of corresponding metastases (sensitivity; 51.1%) and 20 supernatant ccfDNA corresponding metastases (sensitivity; 44.4%). By contrast, the combined test detected EGFR mutations in 27 corresponding metastases (sensitivity; 60.0%), and had a higher sensitivity than the cell sediment or the supernatant ccfDNA alone (P < .05). Out of 45 patients with mutant EGFR, 24, three and 18 were cytologically diagnosed as positive, atypical or negative, respectively. The detection rate in the combined test was highest (95.8%) in the positive group, and mutant EGFR was also detected in four of 18 samples (22.2%) in the negative group.
CONCLUSIONS: A combined test using both cell sediment DNA and supernatant ccfDNA samples increases the concordance rate of EGFR mutations between primary tumour and corresponding metastases. Our findings indicate that supernatant ccfDNA is useful even in cases where the cytological diagnosis is negative.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  combined test; cytology supernatant cell-free DNA; epidermal growth factor receptor mutation; lung cancer; pleural effusion cytology

Mesh:

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Year:  2018        PMID: 29363841     DOI: 10.1111/cyt.12517

Source DB:  PubMed          Journal:  Cytopathology        ISSN: 0956-5507            Impact factor:   2.073


  5 in total

1.  Cell-free DNA in the supernatant of pleural effusion can be used to detect driver and resistance mutations, and can guide tyrosine kinase inhibitor treatment decisions.

Authors:  Karlijn Hummelink; Mirte Muller; Theodora C Linders; Vincent van der Noort; Petra M Nederlof; Paul Baas; Sjaak Burgers; Egbert F Smit; Gerrit A Meijer; Michel M van den Heuvel; Daan van den Broek; Kim Monkhorst
Journal:  ERJ Open Res       Date:  2019-03-25

2.  Targeted deep sequencing from multiple sources demonstrates increased NOTCH1 alterations in lung cancer patient plasma.

Authors:  Yuwei Liao; Zhaokui Ma; Yu Zhang; Dan Li; Dekang Lv; Zhisheng Chen; Peiying Li; Aisha Ai-Dherasi; Feng Zheng; Jichao Tian; Kun Zou; Yue Wang; Dongxia Wang; Miguel Cordova; Huan Zhou; Xiuhua Li; Dan Liu; Ruofei Yu; Qingzheng Zhang; Xiaolong Zhang; Jian Zhang; Xuehong Zhang; Xia Zhang; Yulong Li; Yanyan Shao; Luyao Song; Ruimei Liu; Yichen Wang; Sufiyan Sufiyan; Quentin Liu; Gareth I Owen; Zhiguang Li; Jun Chen
Journal:  Cancer Med       Date:  2019-08-01       Impact factor: 4.452

Review 3.  Future Perspectives in Detecting EGFR and ALK Gene Alterations in Liquid Biopsies of Patients with NSCLC.

Authors:  Daniela Ferreira; Juliana Miranda; Paula Martins-Lopes; Filomena Adega; Raquel Chaves
Journal:  Int J Mol Sci       Date:  2021-04-07       Impact factor: 5.923

4.  Cytology-Based Specimen Triage for Epidermal Growth Factor Receptor Mutation Testing of Malignant Pleural Effusions in Non-Small Cell Lung Cancer.

Authors:  Chi-Lu Chiang; Chia-I Shen; Hsu-Ching Huang; Han-Jhih Chang; Yu-Ting Huang; Chao-Hua Chiu
Journal:  Front Oncol       Date:  2022-01-24       Impact factor: 6.244

Review 5.  Biomarkers in the diagnosis of pleural diseases: a 2018 update.

Authors:  José M Porcel
Journal:  Ther Adv Respir Dis       Date:  2018 Jan-Dec       Impact factor: 4.031

  5 in total

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