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Nomogram based on pre-treatment inflammatory biomarkers predicting survival in patients with head and neck soft
Linyan Chen1,1, Hao Zeng1,1, Ze Du2
1Department of Biotherapy, Cancer Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Background:
Systemic inflammatory biomarkers reflect level of inflammatory response, which have been suggested as prognostic factors in cancer patients.
Objective:
To estimate the prognostic value of inflammatory biomarkers in 149 patients with head and neck soft tissue sarcoma (HNSTS).
Methods:
Pre-treatment neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), neutrophil-platelet score (NPS) and Aarhus Composite Biomarker Score (ACBS) were analyzed for association with overall survival (OS) and progression-free survival (PFS). Nomograms were consisted of independent predictors for OS and PFS, and evaluated by calibration curve and concordance index (C-index).
Results:
In multivariate analysis, LMR (HR = 0.42, 95% CI: 0.19-0.94, P= 0.035), ACBS (HR = 2.05, 95% CI: 1.02-4.12, P= 0.045) and AJCC stage were independent prognostic markers of OS. Moreover, high NLR (HR = 1.78, 95% CI: 1.07-2.94, P= 0.024) and advanced AJCC stage were independently related with worse PFS. Calibration curves reflected good discriminative ability of prognosis. The nomograms showed better accuracy of predicting OS (C-index: 0.748 vs. 0.690, P= 0.009) and PFS (C-index: 0.644 vs. 0.612, P= 0.028) than stage.
Conclusions:
Pre-treatment LMR, ACBS and AJCC stage were effective predictor of OS. The NLR and AJCC stage could independently predict PFS. The nomogram might act as a promising prognostic model for OS and PFS in HNSTS.
