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. 2026 Jan 16;15:1677325. doi: 10.3389/fonc.2025.1677325

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Copyright © 2026 Peng, Liu, Li, Chen, Hu and Du.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Forest plot showing univariate and multivariate Cox regression analyses for various variables including gender, age, symptoms, admission status, medical history, tumor size, adjacency to vessels/nerves, single/multiple status, treatment type, location, and ki67 index. Hazard ratios (HR), ninety-five percent confidence intervals (CI), and P values are presented. Significant P values are highlighted, notably for tumor size and location in the multivariate analysis, indicating these factors as important prognostic indicators. — Forest plot of Cox regression analysis for RFS predictors. Multivariate model identified tumor size (per 1cm, HR = 1.283, p < 0.001) and extremity tumors (HR = 2.899, p = 0.011) as independent risk factors.