Figure 2 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population
<p>Protein biomarker levels. Protein biomarkers were quantified via immunoassay, and values are log<sub>10</sub> transformed and visualized by scatter plot. <b>A,</b> CA125. Dotted line shows threshold referenced in clinical guidance (35 U/mL). <b>B,</b> HE4. Dotted line shows threshold referenced in clinical guidance (140 pmol/L). <b>C,</b> FOLR1. <b>D,</b> MUC1. Error bars indicate mean and SD. Mann–Whitney U tests were performed between controls and each ovarian cancer group. OC, ovarian cancer. EOC, early-stage ovarian cancer. Statistical testing used Mann Whitney U with significance defined as: ns, <i>P</i> > 0.05; **, <i>P</i> ≤ 0.01; ***, <i>P</i> ≤ 0.001; ****, <i>P</i> ≤ 0.0001.</p>
Authors
- Brendan M. Giles
- Emma J. Crosbie (ORCID: https://orcid.org/0000-0003-0284-8630)
- Benjamin G. Bitler (ORCID: https://orcid.org/0000-0002-5809-5271)
- Connor Hansen
- Anna Jeter (ORCID: https://orcid.org/0009-0002-9757-3536)
- Rachel Culp‐Hill (ORCID: https://orcid.org/0000-0003-3000-083X)
- James R. White (ORCID: https://orcid.org/0000-0002-7535-9179)
- Kian Behbakht (ORCID: https://orcid.org/0000-0003-4793-9958)
- Emily C. Kubota (ORCID: https://orcid.org/0000-0002-6387-1239)
- Robert Adger Law
- Violeta Beleva Guthrie (ORCID: https://orcid.org/0000-0002-5526-4957)
- Leonardo N. Hagmann (ORCID: https://orcid.org/0000-0002-2723-3547)
- Abigail McElhinny (ORCID: https://orcid.org/0009-0007-5656-0321)
- Vuna S. Fa (ORCID: https://orcid.org/0009-0009-7864-8572)
- Charles M. Nichols (ORCID: https://orcid.org/0000-0001-9398-3410)
- Enkhtuya Radnaa (ORCID: https://orcid.org/0000-0001-8142-8137)
- Chloe E. Barr (ORCID: https://orcid.org/0000-0002-4013-5001)
- Maria Pik Wong (ORCID: https://orcid.org/0009-0000-2337-6244)
- Collin Hill
- Moises Zapata
- Melvyn Goldberg
Publication Details
- Published
- 2025-09-04
- DOI
- https://doi.org/10.1158/2767-9764.30051287
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00