Lipidomic Profiling of Lung Pleural Effusion Identifies Unique Metabotype for EGFR Mutants in Non-Small Cell Lung Cancer

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作者
Ying Swan Ho
Lian Yee Yip
Nurhidayah Basri
Vivian Su Hui Chong
Chin Chye Teo
Eddy Tan
Kah Ling Lim
Gek San Tan
Xulei Yang
Si Yong Yeo
Mariko Si Yue Koh
Anantham Devanand
Angela Takano
Eng Huat Tan
Daniel Shao Weng Tan
Tony Kiat Hon Lim
机构
[1] Bioprocessing Technology Institute Agency for Science,Department of Respiratory and Critical Care Medicine
[2] Technology and Research (A*STAR),undefined
[3] Department of Pathology Singapore General Hospital 20 College Road,undefined
[4] Institute of High Performance Computing,undefined
[5] Agency for Science,undefined
[6] Technology and Research (A*STAR),undefined
[7] Singapore General Hospital,undefined
[8] National Cancer Centre,undefined
[9] Genome Institute of Singapore,undefined
[10] Agency for Science,undefined
[11] Technology and Research (A*STAR),undefined
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Cytology and histology forms the cornerstone for the diagnosis of non-small cell lung cancer (NSCLC) but obtaining sufficient tumour cells or tissue biopsies for these tests remains a challenge. We investigate the lipidome of lung pleural effusion (PE) for unique metabolic signatures to discriminate benign versus malignant PE and EGFR versus non-EGFR malignant subgroups to identify novel diagnostic markers that is independent of tumour cell availability. Using liquid chromatography mass spectrometry, we profiled the lipidomes of the PE of 30 benign and 41 malignant cases with or without EGFR mutation. Unsupervised principal component analysis revealed distinctive differences between the lipidomes of benign and malignant PE as well as between EGFR mutants and non-EGFR mutants. Docosapentaenoic acid and Docosahexaenoic acid gave superior sensitivity and specificity for detecting NSCLC when used singly. Additionally, several 20- and 22- carbon polyunsaturated fatty acids and phospholipid species were significantly elevated in the EGFR mutants compared to non-EGFR mutants. A 7-lipid panel showed great promise in the stratification of EGFR from non-EGFR malignant PE. Our data revealed novel lipid candidate markers in the non-cellular fraction of PE that holds potential to aid the diagnosis of benign, EGFR mutation positive and negative NSCLC.
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