Preoperative platelet–lymphocyte ratio predicts recurrence of laryngeal squamous cell carcinoma

2020 ◽  
Vol 16 (6) ◽  
pp. 209-217
Author(s):  
Huijun Chen ◽  
Shenghua Song ◽  
Liqing Zhang ◽  
Weida Dong ◽  
Xi Chen ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Regression Model ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Laryngeal Squamous Cell Carcinoma ◽  
Cox Regression ◽  
Cox Regression Model ◽  
Lymphocyte Ratio ◽  
Platelet Lymphocyte Ratio ◽  
Kaplan Meier

Aim: To evaluate the impact of preoperative platelet–lymphocyte ratio (PLR), neutrophil–lymphocyte ratio (NLR), derived NLR (dNLR) and lymphocyte–monocyte ratio (LMR) on the prognosis of laryngeal squamous cell carcinoma. Materials & methods: Overall survival and recurrence-free survival (RFS) were analyzed using Kaplan–Meier estimates. Multivariable Cox regression model was used to evaluate the independent prognostic significance of variables. Results: High PLR (>103.96), NLR (>1.96) and dNLR (>1.70) predicted lower RFS according to Kaplan–Meier method. In COX regression model, patients with high PLR had poor RFS estimates compared with those with lower PLR (p < 0.001). Conclusion: Preoperative PLR was a more valuable prognostic factor than NLR, dNLR and LMR for the recurrence of laryngeal squamous cell carcinoma.

scholarly journals Low Survival Rates of Oral and Oropharyngeal Squamous Cell Carcinoma

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Anna Carolina Omena Vasconcellos Le Campion ◽  
Camila Maria Beder Ribeiro ◽  
Ronir Raggio Luiz ◽  
Francisco Feliciano da Silva Júnior ◽  
Herbert Charles Silva Barros ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Survival Rate ◽  
Regression Model ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Cox Regression ◽  
Survival Rates ◽  
Cancer Staging ◽  
Oropharyngeal Squamous Cell Carcinoma ◽  
Cox Regression Model

Aim. To assess the epidemiological and clinical factors that influence the prognosis of oral and oropharyngeal squamous cell carcinoma (SCC). Methods. One hundred and twenty-one cases of oral and oropharyngeal SCC were selected. The survival curves for each variable were estimated using the Kaplan-Meier method. The Cox regression model was applied to assess the effect of the variables on survival. Results. Cancers at an advanced stage were observed in 103 patients (85.1%). Cancers on the tongue were more frequent (23.1%). The survival analysis was 59.9% in one year, 40.7% in two years, and 27.8% in 5 years. There was a significant low survival rate linked to alcohol intake (p=0.038), advanced cancer staging (p=0.003), and procedures without surgery (p<0.001). When these variables were included in the Cox regression model only surgery procedures (p=0.005) demonstrated a significant effect on survival. Conclusion. The findings suggest that patients who underwent surgery had a greater survival rate compared with those that did not. The low survival rates and the high percentage of patients diagnosed at advanced stages demonstrate that oral and oropharyngeal cancer patients should receive more attention.

Multi-factor Evaluation of Tumor-infiltrating Lymphocytes in Laryngeal Squamous Cell Carcinoma and its Prognostic Value

2021 ◽  
Author(s):  
susheng miao ◽  
xueying wang ◽  
Erliang Guo ◽  
Lunhua Guo ◽  
Changming An ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Laryngeal Squamous Cell Carcinoma ◽  
Cox Regression ◽  
Tumor Infiltrating Lymphocytes ◽  
Clinicopathological Characteristics ◽  
Kaplan Meier ◽  
Factor Evaluation ◽  
Infiltrating Lymphocytes

Abstract Background: Laryngeal squamous cell carcinoma (LSCC) is a heterogeneous disease. In clinical practice, patients with similar clinicopathological characteristics often show different outcomes. This study evaluated the levels of primary LSCC intratumoral infiltrating lymphocytes (iTILs), tumor-infiltrating lymphocyte volume (TILV), frontier tumor-infiltrating lymphocytes (fTILs), and their relations to the patient's clinical outcome. Materials and methods: According to the 2017 study of the International TILs Working Group, hematoxyline and eosin-stained slides from 412 patients were evaluated for their morphology of tumor immune infiltration status.Results: Kaplan-Meier analysis showed that high levels of iTILs, TILV, and fTILs were significantly correlated with OS (all P<0.05). Cox regression model analysis showed that high levels of iTILs, TILV, and fTILs were independently associated with better OS (all P<0.05). Conclusion: Local inflammatory markers in patients with laryngeal squamous cell carcinoma, especially the levels of iTILs, TILV, and fTILs, are reliable prognostic factors.

scholarly journals The Prognostic Value of Preoperative Plasma Fibrinogen and Neutrophil-to-Lymphocyte Ratio in Patients With Laryngeal Squamous Cell Carcinoma

2020 ◽  
pp. 014556132092074
Author(s):  
Hao Cai ◽  
Zi-Heng Zhang ◽  
Yu-Jie Zhou ◽  
Ji Liu ◽  
Huan-Qi Chen ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Laryngeal Carcinoma ◽  
Laryngeal Squamous Cell Carcinoma ◽  
Neutrophil To Lymphocyte Ratio ◽  
Plasma Fibrinogen ◽  
Optimal Cutoff ◽  
Lymphocyte Ratio ◽  
Cutoff Values

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.

scholarly journals Prognostic Analysis of Preoperative Inflammatory Biomarkers in Patients With Laryngeal Squamous Cell Carcinoma

2019 ◽  
Vol 99 (6) ◽  
pp. 371-378 ◽  
Author(s):  
Youfang Xun ◽  
Maohua Wang ◽  
Haiyong Sun ◽  
Shujun Shi ◽  
Bing Guan ◽  
...  
Keyword(s):  
Overall Survival ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Laryngeal Squamous Cell Carcinoma ◽  
Progression Free Survival ◽  
Inflammatory Biomarkers ◽  
Distribution Width ◽  
Free Survival ◽  
Lymphocyte Ratio

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.

scholarly journals Prognostic value of the neutrophil-to-lymphocyte ratio in 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
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Value ◽  
Laryngeal Squamous Cell Carcinoma ◽  
Neutrophil To Lymphocyte Ratio ◽  
Lymphocyte Ratio

Can Systemic Immune-Inflammation Index Create a New Perspective for the IMDC Scoring System in Patients with Metastatic Renal Cell Carcinoma?

2021 ◽  
pp. 1-8
Author(s):  
Fatma Bugdayci Basal ◽  
Cengiz Karacin ◽  
Irem Bilgetekin ◽  
Omur Berna Oksuzoglu
Keyword(s):  
Renal Cell Carcinoma ◽  
Prognostic Factor ◽  
Regression Model ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell ◽  
Cox Regression ◽  
Independent Prognostic Factor ◽  
Cox Regression Model ◽  
Kaplan Meier

Introduction: The aim of the study was to evaluate impact of the systemic immune-inflammation index (SII) on prognosis and survival within the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) score groups. Methods: The records of 187 patients with metastatic renal cell carcinoma (RCC) were reviewed retrospectively. The SII was calculated as follows: SII = Neutrophil × Platelet/Lymphocyte. The patients were categorized into 2 groups based on a median SII of 730 (×109 per 1 L) as SII low (<730) and SII high (≥730). The Kaplan-Meier method was used for survival analysis and a Cox regression model was utilized to determine independent predictors of survival. Results: The median age was 61 years (range: 34–86 years). Kaplan-Meier tests revealed significant differences in survival between the SII-low and SII-high levels (27.0 vs. 12.0 months, respectively, p < 0.001). The Cox regression model revealed that SII was an independent prognostic factor. The implementation of the log-rank test in the IMDC groups according to the SII level provided the distinction of survival in the favorable group (SII low 49.0 months vs. SII high 11.0 months, p < 0.001), in the intermediate group (SII low 26.0 vs. SII high 15.0 months, p = 0.007), and in the poor group (SII low 19.0 vs. SII high 6.0 months, p = 0.019). Conclusion: The SII was an independent prognostic factor and provided significant differences in survival for the favorable, intermediate, and poor IMDC groups. Thus, the SII added to the IMDC score may be clinically beneficial in predicting survival.

scholarly journals A Novel Signature Derived from Metabolism-Related Genes GPT and SMS to Predict Prognosis of Laryngeal Squamous Cell Carcinoma

2021 ◽  
Author(s):  
Yujie Shen ◽  
Qiang Huang ◽  
Yifan Zhang ◽  
Chi-Yao Hsueh ◽  
Liang Zhou
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Laryngeal Squamous Cell Carcinoma ◽  
Cox Regression ◽  
External Validation ◽  
Gene Set Enrichment Analysis ◽  
Differentially Expressed ◽  
Clinical Samples ◽  
Prognostic Signature

Abstract Background A growing body of evidence has suggested the involvement of metabolism in the occurrence and development of tumors. But the link between metabolism and laryngeal squamous cell carcinoma (LSCC) has rarely been reported. This study seeks to understand and explain the role of metabolic biomarkers in predicting the prognosis of LSCC. Methods We identified the differentially expressed metabolism-related genes (MRGs) through RNA-seq data of TCGA (The Cancer Genome Atlas) and GSEA (Gene set enrichment analysis). After the screening of protein-protein interaction (PPI), hub MRGs were analyzed by least absolute shrinkage and selection operator (LASSO) and Cox regression analyses to construct a prognostic signature. Kaplan–Meier survival analysis and the receiver operating characteristic (ROC) was applied to verify the effectiveness of the prognostic signature in four cohorts (TCGA cohort, GSE27020 cohort, TCGA-sub1 cohort and TCGA-sub2 cohort). The expressions of the hub MRGs in cell lines and clinical samples were verified by quantitative reverse transcriptase PCR (qRT-PCR). The immunofluorescence staining of the tissue microarray (TMA) was carried out to further verify the reliability and validity of the prognostic signature. Cox regression analysis was then used to screen for independent prognostic factors of LSCC and a nomogram was constructed based on the results. Results Among the 180 differentially expressed MRGs, 14 prognostic MRGs were identified. A prognostic signature based on two MRGs (GPT and SMS) was then constructed and verified via internal and external validation cohorts. Compared to the adjacent normal tissues, SMS expression was higher while GPT expression was lower in LSCC tissues, indicating poorer outcomes. The risk score proved the prognostic signature as an independent risk factor for LSCC in both internal and external validation cohorts. A nomogram based on these results was developed for clinical application. Conclusions Differentially expressed MRGs were found and proven to be related to the prognosis of LSCC. We constructed a novel prognostic signature based on MRGs in LSCC for the first time and verified via different cohorts from both databases and clinical samples. A nomogram based on this prognostic signature was developed.

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