Supplemental Figure 3 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population

Key Points

• Machine learning successfully identifies gangliosides for early-stage ovarian cancer detection.
• Top 50 gangliosides were evaluated using ANOVA, highlighting significant differences between control and cancer groups.
• The approach utilized PLSDA to analyze lipidomic data for effective differentiation in detection.
• These findings support the potential of lipidomics as a promising biomarker for early ovarian cancer screening.