Relation Between NLR, LMR, PLR and Prognosis of Osteosarcoma / 肿瘤防治研究

ABSTRACT

Objective To explore prognostic value of pre-treatment NLR, PLR and LMR in patients with osteosarcoma. Methods We retrospectively analyzed the clinical and survival data of 70 patients with osteosarcoma who received the same treatment regimen and calculated the NLR, PLR and LMR at initial diagnosis of osteosarcoma. ROC analysis was used to analyze the AUC and confirm the optimal cut-off value. Kaplan-Meier analysis was performed for survival curves. Cox regression models were employed to determine the independent prognostic factors. Results NLR=3.025, LMR=4.82 and PLR=111.5. The 3- and 5-year survival rates of patients with high NLR were 42.0% and 28.0%, while those in the low NLR group were 73.9% and 60.2% (P=0.002). The 3- and 5-year survival rates of patients in the high LMR group were 71.1% and 55.3% (P < 0.001), while those in the low LMR group were 33.3% and 10.4%. The 3- and 5-year survival rates of patients with high PLR were 30.8% and 23.8%, while those in the low PLR group were 63.6% and 56.6% (P=0.001). Univariate analysis showed that NLR, PLR, LMR and lung metastasis were significantly correlated with patients' death (P < 0.05). Multivariate Cox regression analysis showed that NLR and LMR were independent prognostic factors affecting the overall survival of osteosarcoma patients. Conclusion NLR and LMR levels are the prognostic indicators of patients with osteosarcoma. Patients with NLR > 3.025 and LMR < 4.82 have a short survival period, which may need more aggressive chemotherapy and close follow-up to improve clinical treatment results.