No abstract

The neutrophil/lymphocyte ratio predicts all-cause of mortality in geriatric patients with chronic kidney disease.

There is relationship between PET-CT metabolic parameters and NLR in SCLC. Highest correlation was found with NLR and MTV, WBMTV, and WBTLG, and evaluation of NLR together with these parameters predicts survival times and tumor biology more clearly in SCLC.

Aim: To evaluate the prognostic significance of neutrophil lymphocyte ratio, prognostic nutritional index, systemic immune-inflammation index (SII) and B2M in Hodgkin Lymphoma (HL). Materials & methods: Neutrophil–lymphocyte ratio, prognostic nutritional index, SII and B2M were analyzed to assess their prognostic value via the Kaplan–Meier method and Cox regression analysis in 122 HL patients, retrospectively. Results: SII was found to have the highest area under curve and the most sensitive and specific among all markers. In univariate analyses, all four parameters were prognostic for overall survival and progression-free survival, in multivariate analyzes only SII was found to be independent factors for both of them. Conclusion: SII can be suggested as a novel independent and better prognostic factor for predicting overall survival and progression-free survival in HL.

Background Hemoglobin (HB) and red cell distribution width (RDW) are known to be prognostic in many cancer types. The HB-RDW ratio (HRR) is a new biomarker that has been shown to be predictive in some cancer types. However, the prognostic significance of HRR in patients with gastric cancer (GC) is unknown. Aims In this study, we aimed to demonstrate the prognostic importance of HRR in GC patients treated with neoadjuvant fluorouracil, leucovorin, oxaliplatin, docetaxel (FLOT). Methods Eighty-five GC patients who were treated with neoadjuvant FLOT in our center were included in the study, retrospectively. Associations between clinical and histopathological parameters with disease-free survival (DFS) and overall survival (OS) were analyzed using Kaplan-Meier curves and compared by the log-rank test. The optimal cutoff values were determined by a receiver operating characteristic (ROC) curve analysis. Neutrophil-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and HRR were grouped based on a cutoff points 3.05, 802, and 0.89, respectively. Univariate and multivariate analyses were used to assess their prognostic values for DFS and OS. Results Low NLR, low SII, and high HRR were found to be associated with longer DFS/OS. In univariate analysis, Eastern Cooperative Oncology Group performance status, grade, stage, response to neoadjuvant treatment, NLR, SII, and HRR were found to be significantly associated with DFS and OS. But in multivariate analysis, only HRR was demonstrated as an independent prognostic factor for DFS/OS (p 0.001, p 0.037, respectively). Conclusions HRR is a new biomarker that can predict DFS and OS in GC patients treated with neoadjuvant FLOT.