PR001730 (Project)

Description:Background: The etiology of lung cancer among never smokers has not been fully elucidated despite 15% of cases in men and 53% in women worldwide are not smoking-related. Metabolomics provides a snapshot of dynamic biochemical activities, including those found to be driving tumor formation and progression. This study used untargeted metabolomics with network analysis to agnostically identify network modules and independent metabolites in pre-diagnostic blood samples among never-smokers to further understand the pathogenesis of lung cancer. Methods and Findings: Within the prospective Shanghai Women’s Health Study, we conducted a nested case-control study of 395 never-smoking incident lung cancer cases and 395 never-smoking controls matched on age. We performed liquid chromatography high-resolution mass spectrometry to quantify 20,348 metabolic features in plasma. We agnostically constructed 28 network modules using a weighted correlation network analysis approach and assessed associations for network modules and individual metabolites with lung cancer using conditional logistic regression models, adjusting for covariates. We accounted for multiple testing using a false discovery rate (FDR) < 0.20. We identified a network module of 122 metabolic features enriched in lysophosphatidylethanolamines that was associated with all lung cancer combined (p = 0.001, FDR = 0.028) and lung adenocarcinoma (p = 0.002, FDR = 0.056) and another network module of 440 metabolic features that was associated with lung adenocarcinoma (p = 0.014, FDR = 0.196). Metabolic features were enriched in pathways associated with cell growth and proliferation, including oxidative stress, bile acid biosynthesis, and metabolism of nucleic acids, carbohydrates, and amino acids, including 1-carbon compounds. Conclusions: Our prospective study suggests that untargeted plasma metabolomics in pre-diagnostic samples could provide new insights into the etiology of lung cancer in never-smokers. Replication and further characterization of these associations are warranted.
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Metabolomics

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A subject from Metabolomics produced as part of the PR001730 project

Biosample

A biosample from Metabolomics produced as part of the PR001730 project

Biosample

A biosample from Metabolomics produced as part of the PR001730 project

Biosample

A biosample from Metabolomics produced as part of the PR001730 project

Biosample

A biosample from Metabolomics produced as part of the PR001730 project

Biosample

A biosample from Metabolomics produced as part of the PR001730 project

Biosample

A biosample from Metabolomics produced as part of the PR001730 project

Biosample

A biosample from Metabolomics produced as part of the PR001730 project

Biosample

A biosample from Metabolomics produced as part of the PR001730 project


  • Subject

    A subject from Metabolomics produced as part of the PR001730 project


  • Biosample

    A biosample from Metabolomics produced as part of the PR001730 project


  • Biosample

    A biosample from Metabolomics produced as part of the PR001730 project


  • Biosample

    A biosample from Metabolomics produced as part of the PR001730 project


  • Biosample

    A biosample from Metabolomics produced as part of the PR001730 project


  • Biosample

    A biosample from Metabolomics produced as part of the PR001730 project


  • Biosample

    A biosample from Metabolomics produced as part of the PR001730 project


  • Biosample

    A biosample from Metabolomics produced as part of the PR001730 project


  • Biosample

    A biosample from Metabolomics produced as part of the PR001730 project

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