Figure 1 from A Urinary Three-Metabolite Signature Enables Noninvasive Identification of Patients with High-Risk Ovarian Cancer
Year: 2026
Type: other
Abstract: Urine-based metabolomics profiling in patients with ovarian cancer at the cluster level. A, Metabolites with ≥ 50% nonzero values across urine samples from 199 patients with ovarian cancer. B, Principal component (PC) analysis of urinary metabolites, identifying two distinct metabolic clusters (cluster 1: red; cluster 2: green). C, Mean metabolite abundances across clusters. D, PFS and (E) OS by metabolic cluster assignment. F, Cancer antigen 125 (CA-125) levels and (G) surgical outcome [macroscopic complete resection (R = 0) vs. residual disease (R > 0)] stratified by cluster. Statistical significance was assessed by Wilcoxon or χ2 test, as appropriate; exact P values are shown in the panels.
Language: English
Subfield: Reproductive Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W7169553986