Supplemental Figure 7 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population

Key Points

• Lipid biomarkers effectively distinguish between early-stage and late-stage ovarian cancer, improving diagnostic accuracy.
• The study identifies over 100 lipid features that significantly differ across cohorts based on ANOVA results.
• Utilizing PLSDA and heatmaps provides visual insights into the variation of lipid profiles among ovarian cancer patients.
• These findings may enable earlier diagnosis and treatment opportunities for women experiencing symptoms.