ArticleFrontiers in oncology2026
A predictive model integrating iron metabolism and oxidative stress biomarkers with clinicopathological factors for recurrence and metastasis in oral squamous cell carcinoma.
Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To investigate the impact of iron metabolism and oxidative stress on recurrence and metastasis in oral squamous cell carcinoma (OSCC) and to develop an integrated predictive model. Methods: A retrospective study was conducted on 240 OSCC patients who underwent radical surgery. Preoperative iron metabolism indicators [serum iron (Fe), ferritin, transferrin (TF), total iron-binding capacity (TIBC), transferrin saturation (TSAT)] and oxidative stress indicators [malondialdehyde (MDA), reactive oxygen species (ROS), superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), total antioxidant capacity (T-AOC)] were collected alongside clinicopathological data. Multivariable Cox regression was used to identify predictors, and a nomogram was constructed. Model performance was assessed via C-index, time-dependent ROC curves, and calibration plots. Results: The recurrence/metastasis rate was 36.7% (88/240). The recurrence/metastasis group showed higher proportions of T3-T4 stage, N+ status, poor differentiation, perineural invasion, and lymphovascular invasion (all Conclusion: Dysregulated iron metabolism and oxidative stress are independently associated with OSCC recurrence and metastasis. A model combining these serum biomarkers with traditional clinicopathological factors significantly improves risk stratification, offering a potential tool for personalized management.
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