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Application of non-target and target metabolomics techniques in the screening of serum markers for the diagnosis of lung cancer |
ZHENG Wei-liang1 YU Jiang-qing1▲ DU Fen2 XIE Bao-gang2 HE Xiang-yuan3 |
1.Department of Respiratory Medicine,Jingdezheng NO.1 People′s Hospital,Jiangxi Province,Jingdezheng 333000,China;
2.School of Pharmaceutical Science,Nanchang University,Jiangxi Province,Nanchang 330006,China;
3.Department of Thoracic Surgery,the First Affiliated Hospital of Nanchang University,Jiangxi Province,Nanchang 330006,China |
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Abstract Objective To explore the application value of non-target and target metabolomics technology in the screening of serum markers in lung cancer diagnosis.Methods Based on 1HNMR metabolomics,47 cases of post-operative lung cancer tissues and their corresponding normal lung tissue samples from the First Affiliated Hospital of Nanchang University and Jingdezheng NO.1 People′s Hospital were determined to identify their metabolites and obtain the differential metabolites related to the diagnosis of lung cancer from July 2017 to December 2018.The quantitative analysis of related metabolites in serum of 143 lung cancer patients and 99 healthy control group was carried out by ultra performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS).The excellent metabolite combinations for lung cancer diagnosis were screened based on Logistic regression analysis and receiver operating characteristic curve.Results 1HNMR metabolomics analysis showed that lipids,lactic acid and betaine were differentially metabolites related to lung cancer tissues and normal tissues,suggesting that methylation-related metabolites might be related to the diagnosis of lung cancer.The results of UPLC-MS/MS quantitative analysis showed that the serum samples of lung cancer andhealthy group had significant statistical differences in cystathionine,carnitine,acetyl carnitine,xanthylinucleic acid,guanosine,guanine,inosine,creatinine,uridine,choline,adenine,dimethyl-glycine,adenosine and uric acid (P<0.05).The combined area under the curve of cystathionine,guanosine,uric acid and adenine was 0.993,with high sensitivity and specificity (>85%).Conclusion The combination of non-target and target metabolomics techniques to determine serum adenine,guanosine,uric acid and cystathionine can be used as a potential serum marker for the diagnosis of lung cancer and is worthy of further clinical confirmation and research.
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