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 2. The unique metabolic features of male SCLC compared to NSCLC and 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 males. (A) 2-D plot. (B) 3-D plot. (C) The top 15 most differential metabolites in male 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 male SCLC patients. Abbreviations: IMP = inosine monophosphate; Cer = Ceramide; SM = Sphingomyelin; PI = Phosphatidylinositol; NSCLC = non-small cell lung cancer; PLS-DA = partial least square discriminant analysis; SCLC = small cell lung cancer; VIP = variance in projection.