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. 2021 Aug 10;22(4):725. doi: 10.3892/ol.2021.12986

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Copyright: © Chen et al.

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Figure 2. — ROC curve analyses of tumor markers for gastric cancer. ROC curve analysis of biomarkers (A) miR-130b, (B) Hct, (C) Hb, (D) RDW-CV, (E) MPV, (F) PDW, (G) L%, (H) L#, (I) N%, (J) N#, (K) M%, (L) M#, (M) PLR, (N) MLR and (O) NLR for discrimination between gastric cancer and healthy controls. Hb, hemoglobin; Hct, hematocrit; L%, lymphocyte percentage; L#, lymphocyte count; miR-130b, microRNA-130b; MLR, monocyte to lymphocyte ratio; MPV, mean platelet volume; M%, monocyte percentage; M#, monocyte count; N%, neutrophil percentage; N#, neutrophil count; NLR, neutrophil to lymphocyte ratio; PDW, platelet distribution width; PLR, platelet to lymphocyte ratio; RDW-CV, red blood cell distribution width-coefficient of variation; ROC, receiver operating characteristic.