Body Mass Index Alters the Predictive Value of the Neutrophil-to-Lymphocyte Ratio and Systemic Inflammation Response Index in Laryngeal Squamous Cell Carcinoma Patients

2021 ◽  
pp. 1-9
Author(s):  
Luana Dalbem Murad ◽  
Thays de Queiroz Silva ◽  
Arthur Orlando Corrêa Schilithz ◽  
Mariana Costa Monteiro ◽  
Leonardo Borges Murad ◽  
...  
2020 ◽  
pp. 014556132092074
Author(s):  
Hao Cai ◽  
Zi-Heng Zhang ◽  
Yu-Jie Zhou ◽  
Ji Liu ◽  
Huan-Qi Chen ◽  
...  

Objectives: Treatment effects in patients with laryngeal squamous cell carcinoma may vary significantly even among those with the same TNM stage. Routine preoperative blood and coagulation tests are economical and easily available hematological indicators. This study aimed to investigate the clinical predictive significance of pretreatment evaluation of plasma fibrinogen (FIB) level, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) in patients with laryngeal carcinoma. Methods: Clinicopathological and demographic data from 203 patients who underwent surgery for laryngeal carcinoma were collected and analyzed. The optimal cutoff values for FIB, NLR, and PLR were determined using receiver operating characteristic curve analysis. Univariate and multivariate Cox regression analyses were used to study the relationship between blood markers and patient survival. Results: The optimal cutoff values for FIB, NLR, and PLR were 3.05 g/L, 2.41, and 110.94, respectively. Preoperative hyperfibrinemia (FIB >3.05 g/L) was an independent prognostic factor for overall survival (OS) and disease-free survival in patients with laryngeal carcinoma. An NLR >2.41 was associated with reduced OS in patients with laryngeal carcinoma, while PLR >110.94 had no effect on prognosis in these patients. Conclusions: Fibrinogen and NLR were valuable markers in predicting survival in patients with laryngeal carcinoma and may be used to inform clinicians in designing individual treatment strategies.


2019 ◽  
Vol 99 (6) ◽  
pp. 371-378 ◽  
Author(s):  
Youfang Xun ◽  
Maohua Wang ◽  
Haiyong Sun ◽  
Shujun Shi ◽  
Bing Guan ◽  
...  

Objective: The purpose of this study was to demonstrate the prognostic role of inflammatory biomarkers in patients with laryngeal squamous cell carcinoma. Methods: For this study, we enrolled 151 patients who had undergone surgery for laryngeal squamous cell carcinoma. We assessed the preoperative neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), mean platelet volume, red cell distribution width, and alkaline phosphatase. The chi-square test, Kaplan-Meier survival analysis, and Cox proportional hazards model were conducted on overall survival, progression-free survival, locoregional recurrence-free survival, and distant metastasis-free survival of patients with laryngeal squamous cell carcinoma. Results: Both Kaplan-Meier analysis and univariate analysis showed significant prognostic differences with age, laryngectomy methods, Tumor Node Metastasis (TNM) staging, tumor location, NLR, PLR, MLR, and mean platelet volume. Multivariate analysis indicated that NLR (overall survival: hazard ratio [HR] = 3.02, 95% confidence interval [CI]: 1.28-7.10, P = .011), PLR (overall survival: HR = 0.33, 95% CI: 0.14-0.78, P = .011; progression-free survival: HR = 0.016,95% CI: 0.10-0.79, P = .016), and MLR (overall survival: HR = 0.29, 95% CI: 0.11-0.76, P = .012) were independent prognostic factors for 5-year survival. However, red cell distribution width and alkaline phosphatase had no significant difference in overall survival and progression-free survival. Conclusions: Preoperative high NLR, PLR, and MLR were associated with poor prognosis. They were found to be effective and reliable inflammatory biomarkers for patients with laryngeal squamous cell carcinoma.


Head & Neck ◽  
2015 ◽  
Vol 38 (S1) ◽  
pp. E1903-E1908 ◽  
Author(s):  
B. Y. Winson Wong ◽  
Nicholas D. Stafford ◽  
Victoria L. Green ◽  
John Greenman

Oncotarget ◽  
2017 ◽  
Vol 8 (29) ◽  
pp. 48240-48247 ◽  
Author(s):  
Wan-Zhi Chen ◽  
Shi-Tong Yu ◽  
Rong Xie ◽  
Yun-Xia Lv ◽  
De-Bin Xu ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document