Objective This study aims at assessing the potential benefits of observation of monocyte-to-albumin ratio (MAR) and neutrophil percentage-to-hemoglobin ratio (NPHR) in the detection of non-small cell lung cancer (NSCLC). Methods This study retrospectively involved 195 NSCLC patients and 204 healthy volunteers. The correlations between the clinicopathological characteristics of NSCLC and the two ratios including MAR and NPHR were assessed. The diagnostic efficiency of NSCLC patients by MAR and NPHR, alone or in combination with carcinoembryonic antigen (CEA), was assessed by receiver operating characteristic (ROC) curve. The risk factors for NSCLC were analyzed with binary logistic regression. Results Compared to healthy controls, the levels of MAR and NPHR in NSCLC patients were elevated. MAR and NPHR were related to clinicopathologic characteristics and increased significantly along with the progression of NSCLC. The area under the curve (AUC) for 95% confidence interval (95% CI) of MAR and NPHR in the diagnosis of NSCLC was 0.812 (0.769–0.854) and 0.724 (0.675–0.774), respectively. The combination of MAR, NPHR, and CEA achieved the highest diagnostic utility compared to each individually or combined markers (AUC, 0.86; 95% CI, 0.824–0.896; sensitivity, 72.8%; specificity, 87.3%). Further analysis showed that MAR combined with NPHR presented the potential to detect early-stage (IA–IIB) NSCLC (AUC, 0.794; 95% CI, 0.743–0.845; sensitivity, 55.1%; specificity, 87.7%). The result indicated that MAR and NPHR might be risk factors for NSCLC. Conclusion MAR and NPHR could be novel and effective auxiliary indexes in the detection of NSCLC, especially when combined with CEA.

The present study aimed to evaluate the potential of the monocyte to red blood cell count ratio (MRR), the neutrophil to red blood cell count ratio (NRR), the lymphocyte to red blood cell count ratio (LRR) and the product of lymphocyte count and albumin concentration (LA) for the diagnosis of lung cancer. The cases of 216 patients with newly diagnosed lung cancer and 184 healthy volunteers were retrospectively analysed. The MRR and NRR were found to be higher in patients with lung cancer compared with those in healthy controls, while the LRR and LA were lower. The receiver operating characteristic curve analysis revealed that of the four markers, the MRR and LA yielded a higher area under the curve (AUC) (MRR: AUC, 0.810; 95% CI, 0.768-0.847; and LA: AUC, 0.721; 95% CI, 0.674-0.764). The combination of MRR, LA, carcinoembryonic antigen (CEA) and cytokeratin 19 fragment antigen 21-1 (CYFRA21-1) achieved the highest diagnostic value when compared with other single or combined markers (AUC, 0.882; 95% CI, 0.846-0.912; sensitivity, 81.9%; specificity, 81.0%). As the disease progressed, the MRR tended to increase, while LA exhibited a decreasing trend. Binary logistic regression analysis revealed an increase in the MRR, as well as in CEA and CYFRA21-1 concentrations, and a decrease in the LA, which could all be possible risk factors for lung cancer. Differences in the MRR and LA between patients with early stage (IA-IIIA) lung cancer and healthy controls were observed. Further analysis revealed that the MRR also exhibited the potential to detect early stage (IA-IIIA) lung cancer in the model. The present findings demonstrated that the MRR and LA may be used as auxiliary biomarkers for the diagnosis of lung cancer and could partly indicate disease progression.