Evidence map›Paper›PMID 41366469›Full record

ArticleJournal of cardiothoracic surgery2025

Plasma metabolites as biomarkers for screening and differential diagnosis of lung cancer.

Zixu Liu, Ling Wang, Shugeng Gao, Qi Xue, Fengwei Tan, Yushun Gao

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zixu LiuDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Panjiayuannanli No 17, Chaoyang District, Beijing, 100021, PR China.
Ling WangDepartment of Hematology, Beijing Chuiyangliu Hospital, Beijing, PR China.
Shugeng GaoDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Panjiayuannanli No 17, Chaoyang District, Beijing, 100021, PR China.
Qi XueDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Panjiayuannanli No 17, Chaoyang District, Beijing, 100021, PR China.
Fengwei TanDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Panjiayuannanli No 17, Chaoyang District, Beijing, 100021, PR China.
Yushun GaoDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Panjiayuannanli No 17, Chaoyang District, Beijing, 100021, PR China. bjgaoyushun@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, there is a lack of satisfactory biomarkers for lung cancer screening and differential diagnosis. Metabolomics can detect the differences of metabolites in different pathological states, which may be helpful in the identification of lung cancer.

methodsPatients with pulmonary nodules were divided into two groups: benign pulmonary nodules (BPN) and primary lung cancer (PLC). Healthy population group(HPG) was enrolled. Half of PLC and HPG were selected as the testing subset and the validating subset, respectively. Two groups with different pulmonary lesions were compared with HPG, respectively, and compared with each other. Univariate and multivariate data statistical analysis method was used to select the metabolites. Their discriminating ability was verified by the ROC curve in the validating subset.

resultsThe testing subset was comprised of BPN(n = 32), PLC(n = 80), and HPG(n = 48). The significant metabolites selected by the comparison of PLC and HPG were 1-salicylate glucuronide, s-nitrosoglutathione, and dihydrocaffeic acid 3-O-glucuronide. Their AUC of ROC was all greater than 0.95(0.957-0.995) in the validating subset, which indicated they had a strong ability to differentiate PLC from HPG. From the comparison of the two pulmonary nodule groups with each other, three metabolites with good sensitivity and specificity were selected, whose discriminating ability of PLC from BPN was satisfactory.

conclusionThrough the research of plasma metabolomics, some significant metabolites were detected among PLC, BPN, and HPG, which have the potential to be the promising biomarkers for lung cancer screening and differential diagnosis.

Indexed as

Biomarkers, TumorEarly Detection of CancerLung NeoplasmsAgedBiomarkersDiagnosis, DifferentialFemaleHumansMaleMetabolomicsMiddle AgedROC CurveBiomarkersBiomarkers, TumorBiomarkersDifferential DiagnosisLung CancerMetabolomicsScreening

Identifiers

PMID41366469
PMCPMC12690907

What Socratic holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.