Supplemental Table 1 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population

Key Points

Early detection of ovarian cancer was improved through the integration of lipidomics and machine learning techniques.
The study highlighted a correlation between serum lipid profiles and ovarian cancer biomarkers, emphasizing their diagnostic potential.
This observational analysis used various biomarker assays to evaluate lipidomic signatures in symptomatic individuals at risk.
Implementing these techniques could significantly enhance early diagnostic capabilities, enabling timely interventions.

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Observational analysis identified serum-derived lipidomics and biomarkers for ovarian cancer, suggesting early detection benefits.

Supplemental Table 1. Cohort Disease States

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Giles et al. (2025) studied this question.

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