Prognostic significance of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in non-small cell lung cancer.
Mesut BayraktarogluBirsen Pinar YildizPublished in: Medicine (2023)
Non-small cell lung cancer (NSCLC) is characterized by diagnosis at an advanced stage, low rate of operability and poor survival. Therefore, there is a need for a biomarker in NSCLC patients to predict the likely outcome and to accurately stratify the patients in terms of the most appropriate treatment modality. To evaluate prognostic value of pretreatment neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in NSCLC. A total of 124 NSCLC patients (mean ± standard deviation age: 60.7 ± 9.3 years, 94.4% were males) were included in this retrospective study. Data were retrieved from the hospital records. The association of NLR and PLR with clinicopathological factors and overall survival was analyzed. One-year, 2-year and 5-year survival rates were 59.2%, 32.0%, and 16.2%, respectively. Median duration of survival was shorter in patient groups with elevated NLR and PLR. Five-year survival rate was quite lower in patient groups with elevated NLR and PLR. Hazard rate (HR) for mortality was 1.76 (95% confidence interval [CI]: 1.19-2.61, P = .005) for NLR ≥ 3 over NLR < 3. HR was 1.64 (95%CI: 1.11-2.42, P = .013) for PLR ≥ 150 over PLR < 150. Cox-regression analysis revealed that, when adjusted for other independent predictors of survival, NLR and PLR still remain significant predictors of poorer survival. Our findings indicate that elevated pretreatment NLR and PLR are associated with advanced disease and poor survival in NSCLC patients, NLR and PLR values are correlated with each other.
Keyphrases
- end stage renal disease
- small cell lung cancer
- chronic kidney disease
- newly diagnosed
- free survival
- prognostic factors
- emergency department
- healthcare
- advanced non small cell lung cancer
- machine learning
- type diabetes
- coronary artery disease
- artificial intelligence
- electronic health record
- peripheral blood
- big data
- data analysis