Roles of the systemic inflammatory response biomarkers in the diagnosis of cancer patients with solid tumors

Aim: Cancer is still considered as one of the leading causes of mortality worldwide. Various tumor factors have been used for the diagnosis and follow-up of solid tumors; however, their clinical features remains controversial in terms of their diagnostic, prognostic, and predictive values. In this study, we aimed to investigate the use of the systemic inflammatory response biomarkers, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR), in the diagnosis of solid tumors. Method: We retrospectively analyzed the records of 256 patients with solid tumors, including lung, breast, liver, and pancreatic cancers, who were diagnosed at the outpatient clinics of our institution between January 2017 and July 2018. The neutrophil, lymphocyte, monocyte, and platelet counts were measured using a hematology analyzer and the results were analyzed statistically. Results: The results of the receiver operating characteristic analysis showed that the NLR and LMR could be statistically reliable biomarkers, with area under the curve (AUC) values of 0.574 (p = 0.017) and 0.596 (p = 0.002). However, the PLR statistically failed to discriminate the patients and the control subjects, with AUC values of 0.545 (p = 0.148). Conclusions: Certain systemic inflammatory response biomarkers, such as the NLR and LMR, can play roles in the clinical diagnosis of patients with solid tumors

Evaluation of Bio-Rad D-10® and arkray adams HA-8160® HPLC analyzers in HbA1c measurement

Glycosylated hemoglobin A1c (HbA1c) is an important parameter used for the assessment of time-dependent glycemic status and the diagnosis and follow-up of diabetes. This study aimed to evaluate the analytical performance of two HPLC analyzers, the Bio-Rad D-10®, and the Arkray Adams HA-8160®. Accuracy and imprecision studies were conducted, and a method comparison study was performed with 105 samples. Samples were collected on five consecutive days and measured on both analyzers within two hours. Bland-Altman and regression analyses were used for statistical evaluation of the data. Low and high-level within-day CV values were calculated as 1.22% and 0.60% for the Arkray analyzer and 1.2% and 0.30% for the Bio-Rad analyzer, respectively. They were calculated as 1.27% and 2.52% for the Arkray analyzer and 2.32% and 3.44% for the Bio-Rad analyzer, respectively, between days. The within-day CV values for both analyzers were below the limit of 2.5% specified by the International Federation of Clinical Chemistry (IFCC). The bias average for three months was 3.2% for the Arkray analyzer and 1.2% for the Bio-Rad analyzer. The Spearman correlation coefficient (r) was 0.973 (p [Med-Science 2019; 8(4.000): 953-6