Sangmin Lee, Xue Li, Jin Ho Kim, Hong-Gyun Wu, Keun Yong Eom, Joo Ho Lee
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引用次数: 0
Abstract
Background/aim: This study investigated the prognostic value of serum uric acid (SUA) levels after definitive radiotherapy (RT) in head and neck cancer (HNC).
Patients and methods: This retrospective study included patients with HNC undergoing definitive RT between January 2008 and February 2019. SUA levels were measured pre- and post-RT. Survival outcomes were analyzed using the Kaplan-Meier method, log-rank tests, and multivariable Cox regression. The optimal post-RT SUA cut-off (4.6 mg/dl) was determined via ROC analysis.
Results: A total of 185 patients were analyzed, with a median follow-up of 63.3 months. The mean pre-treatment SUA level was 5.4 mg/dl, which decreased to 5.2 mg/dl post-treatment, though the difference was not statistically significant (p=0.326). A post-treatment SUA cut-off of 4.6 mg/dl demonstrated discriminatory ability for distant metastasis-free survival (DMFS) but was not predictive of overall survival or locoregional relapse-free survival (LRFS). Kaplan-Meier analysis showed that patients with post-treatment SUA ≥4.6 mg/dl had significantly poorer DMFS than those with lower levels [hazard ratio (HR)=1.25, 95% confidence interval (CI)=1.02-1.53; p=0.004]. Multivariable analysis confirmed post-treatment SUA ≥4.6 mg/dl (HR=5.01, p=0.010), HPV-negative oropharyngeal tumors (HR=5.68, p=0.025), and Stage IV disease (HR=4.10, p=0.020) as independent prognostic factors for DMFS.
Conclusion: Post-treatment SUA levels may serve as a potential marker for predicting metastasis following RT in HNC.
期刊介绍:
IN VIVO is an international peer-reviewed journal designed to bring together original high quality works and reviews on experimental and clinical biomedical research within the frames of physiology, pathology and disease management.
The topics of IN VIVO include: 1. Experimental development and application of new diagnostic and therapeutic procedures; 2. Pharmacological and toxicological evaluation of new drugs, drug combinations and drug delivery systems; 3. Clinical trials; 4. Development and characterization of models of biomedical research; 5. Cancer diagnosis and treatment; 6. Immunotherapy and vaccines; 7. Radiotherapy, Imaging; 8. Tissue engineering, Regenerative medicine; 9. Carcinogenesis.