Background
To assess the prognostic role of gamma‐glutamyl transpeptidase to lymphocyte count ratio (GLR) and develop a prognostic nomogram for patients with oral cancer.
Methods
A prospective cohort (n = 1011) was conducted during July 2002 to March 2021 in Southeastern China.
Results
The median follow‐up time was 3.5 years. Multivariate Cox regression (OS: HR = 1.51, 95% CI: 1.04, 2.18) and Fine–Gray model (DSS: HR = 1.68, 95% CI: 1.14, 2.49) both showed that high GLR could act as an indicator of poor prognosis. A nonlinear dose–response relationship was observed between continuous GLR and the risk of all‐cause mortality (p for overall = 0.028, p for nonlinear = 0.048). Compare with TNM stage, time‐dependent ROC curve proved that GLR‐based nomogram model performs better in predicting prognosis (the area under curve for 1‐, 3‐, and 5‐years mortality: 0.63, 0.65, and 0.64 vs. 0.76, 0.77, and 0.78, p < 0.001).
Conclusion
GLR might be a useful tool in predicting prognosis for patients with oral cancer.
ObjectiveTo assess the prognostic role of pretreatment lymphocyte percentage (LY%) for patients with oral squamous cell carcinoma (OSCC).MethodsA large‐scale prospective cohort study between July 2002 and March 2021 was conducted. Propensity score‐matched (PSM) analysis and inverse probability of treatment weighting (IPTW) analysis were performed to adjust for potential confounders. Using random survival forest (RSF), the relative importance of pretreatment LY% in prognosis prediction was also assessed.ResultsA total of 743 patients were enrolled and followed up (median: 2.75 years, interquartile range: 1.25–4.42 years). A high pretreatment LY% was significantly associated with better disease‐specific survival of patients with OSCC (Hazard ratio [HR] = 0.60, 95% confidence interval [CI]: 0.42, 0.84). The same tendency was observed in PSM (HR = 0.57, 95% CI: 0.38, 0.85) and IPTW analysis (HR = 0.57, 95% CI: 0.40, 0.82). RSF showed that LY% ranked the fifth among importance ranking of all prognostic factors.ConclusionPretreatment LY% showed a moderate predictive ability, suggesting it might be a valuable tool to predict prognosis for patients with OSCC.
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