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.

Observational analysis reveals lipid biomarkers differentiate ovarian cancer stages, highlighting potential for early detection.

Supplemental Figure 7. PLSDA and heatmaps of top 100 lipid features by ANOVA across cohorts comparing controls to early-stage OC and late-stage OC

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Giles et al. (2025) studied this question.

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