What question did this study set out to answer?

To evaluate skeletal muscle mass and inflammation-based prognostic score as predictors of overall survival in oral cancer.

May 15, 2026Open Access

Skeletal muscle mass and inflammation-based prognostic score as prognostic factors in oral cancer

Key Points

To evaluate skeletal muscle mass and inflammation-based prognostic score as predictors of overall survival in oral cancer.
Identified optimal cut-off values for inflammation biomarkers including NLR, PLR, LMR, and PNI.
Conducted multivariate analysis to assess independent predictors of overall survival.
Analyzed the association between low skeletal muscle mass and inflammation scores with overall survival outcomes.
Low skeletal muscle mass is significantly associated with lower overall survival (P < 0.001).
High NLR and PLR are independent predictors of poor overall survival (P = 0.022 for NLR and P = 0.017 for PLR).
Increased inflammation and low PNI correlate with significantly poorer overall survival outcomes (P < 0.001).

Abstract

for females. The optimal IBPS cut-off values were NLR ≥2.85, PLR ≥94.7, LMR <4.51, and PNI <48.21. Low SMM (P < 0.001), high NLR (P = 0.001), high PLR (P = 0.040), low LMR (P < 0.001), low PNI (P < 0.001), and mGPS of 1-2 (P < 0.001) were associated with significantly lower overall survival (OS). Multivariate analysis identified low SMM (P < 0.001), low albumin levels (P = 0.001), high NLR (P = 0.022), high PLR (P = 0.017), low LMR (P < 0.001), and low PNI (P = 0.001) as independent predictors of OS. In conclusion, low SMM and the IBPS predict poor OSCC outcomes.

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