Lung cancer is a worldwide disease and highly heterogeneous at a molecular level. In this study, we both performed the pathway enrichment analysis and the transcriptome-based weighted gene coexpression network analysis (WGCNA) so as to find the critical pathways involved in lung cancer. Our analysis results indicated that genes in viability modules (0 < Z-summary < 2) selected by WGCNA were more reliable for identifying crucial pathways, while gene enrichment analysis provided a wide range of pathways with a little emphasis on target pathways for lung cancer. On the basis of genes, which were classified into various modules by WGCNA, we found a significant aberration of glucose metabolism in lung cancer cells, demonstrating that the glucose metabolism has been perturbed, especially the glycolysis pathway. Our study revealed that disordered glucose metabolism might be closely associated with the carcinogenesis of lung cancer based on the integrated analysis of WGCNA and metabolomics, which could be a potential therapeutic target for lung cancer. K E Y W O R D Sglucose metabolism, lung cancer, metabolomics, weighted gene coexpression network analysis SUPPORTING INFORMATIONAdditional supporting information may be found online in the Supporting Information section at the end of the article.How to cite this article: Ding M, Li F, Wang B, Chi G, Liu H. A comprehensive analysis of WGCNA and serum metabolomics manifests the lung cancer-associated disordered glucose metabolism.

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