Figure 1 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population
Year: 2025
Type: other
Abstract: Lipidomics analysis. A, Lipid class assignments as a percentage of species reaching P < 0.05 by the Mann–Whitney u test comparing controls with ovarian cancer. B, PLSDA analysis of controls and ovarian cancer (OC) for each cohort. C, Lipid class assignments as a percentage of species reaching P < 0.05 by the Mann Whitney U test comparing controls with early-stage ovarian cancer. D, PLSDA analysis of controls and early-stage ovarian cancer (Early OC) for each cohort. E, Scatter plots depicting relative abundance of representative lipid species across cohorts 1 and 2 for control, ovarian cancer (OC), and early-stage ovarian cancer (EOC). Cer, ceramide; CL, cardiolipin; DG, diacylglycerol; FFA, free fatty acid; GlcCer, glucosylceramide; GM3, GM3 ganglioside; LacCer, lactosylceramide; LPA, lysophosphatidic acid; LPC, lysophosphatidylcholine; LPE, lysophosphatidylethanolamine; LPG, lysophosphatidylglycerol; LPI, lysophosphatidylinositol; LPS, lysophosphatidylserine; MG, monoacylglycerol; PA, phosphatidic acid; PC, phosphatidylcholine; PE, phosphatidylethanolamine; PG, phosphatidylglycerol; PGP, phosphatidylglycerophosphate; PI, phosphatidylinositol; PS, phosphatidylserine; SM, sphingomyelin; TG, triacylglycerol. Statistical testing used Mann Whitney U with significance defined as: ns, P > 0.05; **, P ≤ 0.01; ***, P ≤ 0.001; ****, P ≤ 0.0001.
Authors: Brendan M. Giles, Rachel Culp-Hill, Robert A. Law, Charles M. Nichols, Mattie Goldberg, Enkhtuya Radnaa, Maria Wong, Connor Hansen, Moises Zapata, Collin Hill, Kian Behbakht, Benjamin G. Bitler, Emma J. Crosbie, Chloe E. Barr, Anna Jeter, Vuna S. Fa, Violeta Beleva Guthrie, Leonardo N. Hagmann, Emily C. Kubota, James Robert White, Abigail McElhinny
Language: English
Subfield: Reproductive Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4413993891