Supplemental Figure 2 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population | Synapse
September 10, 2025Open Access
Supplemental Figure 2 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population
Key Points
Gangliosides may serve as effective biomarkers for the early detection of ovarian cancer.
The study utilized PLSDA to compare lipid profiles of controls with those having ovarian cancer and early-stage cases.
Heatmaps identified top gangliosides significantly differing by ANOVA, providing insights into potential diagnostic approaches.
Findings suggest that machine learning combined with lipidomics could enhance early diagnosis of ovarian cancer.
Abstract
Supplemental Figure 2. Cohort 1 PLSDA and heatmaps of top 50 gangliosides by ANOVA comparing controls to OC and early-stage OC