Research Paper Volume 12, Issue 1 pp 978—995

Metabolomic profiling of dried blood spots reveals gender-specific discriminant models for the diagnosis of small cell lung cancer

Figure 3. The unique metabolic features in the DBS of female SCLC patients compared to NSCLC and noncancer controls. (A, B) Multivariate analysis of metabolomic data using PLS-DA resulted in a clear separation of metabolic features among SCLC, NSCLC and the control group in females. (A) 2-D plot. (B) 3-D plot. (C) The top 15 most differential metabolites in female patients with SCLC revealed by VIP analysis. VIP>1.5 was considered as statistically significant. The VIP results were also verified by univariate ANOVA analysis. (D) The top pathways disturbed in female SCLC patients. Abbreviations: DBS = dried blood spot; NSCLC = non-small cell lung cancer; PE = phosphatidylethanolamine; 9-HETE = 9-hydroxyeicosatetraenoic acid; 13-HODE = 13-Hydroxyoctadecadienoic acid; SM = Sphingomyelin; PLS-DA = partial least square discriminant analysis; SCLC = small cell lung cancer; VIP = variance in projection.