Supplemental Figure 4 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population

Key Points

Application of machine learning with lipidomics demonstrated potential for early detection of ovarian cancer.
Analysis of serum-derived lipid profiles suggests differences between cohorts in indicative biomarkers.
Use of protein biomarkers alongside lipidomic data can improve the accuracy of ovarian cancer prediction.
This approach supports further exploration of lipid profiles for non-invasive cancer screening methods.

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Analysis reveals lipid profiles and protein biomarkers in ovarian cancer, indicating potential early detection methods.

Supplemental Figure 4. Global Serum Lipid Profile in Cohort 1 and Cohort 2

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Giles et al. (2025) studied this question.

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