Figures & data
Figure 1 The levels of NLR, PLR, and LMR in the non-recurrent and recurrent groups. (A, B) The levels of NLR and PLR in the recurrent group were significantly higher than those in the non-recurrent group (P < 0.05). (C) The level of LMP in the recurrent group was significantly lower than that in the non-recurrent group (P < 0.05).
![Figure 1 The levels of NLR, PLR, and LMR in the non-recurrent and recurrent groups. (A, B) The levels of NLR and PLR in the recurrent group were significantly higher than those in the non-recurrent group (P < 0.05). (C) The level of LMP in the recurrent group was significantly lower than that in the non-recurrent group (P < 0.05).](/cms/asset/cfdc2146-b70a-4a58-833a-970cfb19579e/dcmr_a_12189436_f0001_b.jpg)
Table 1 The Optimal Cut-Off Values Based on Disease-Free Survival (DFS)
Figure 2 The ROC curves of NLR, PLR, and LMR. (A) The optimal cutoff value was 3.0 for the NLR (sensitivity 48.1%, specificity 86.4%, AUC 0.674). (B) The optimal cutoff value was 135.0 for the PLR (sensitivity 37.0%, specificity 85.2%, AUC 0.630). (C) The optimal cutoff value was 6.2 for the LMR (sensitivity 70.4%, specificity 76.1%, AUC 0.773).
![Figure 2 The ROC curves of NLR, PLR, and LMR. (A) The optimal cutoff value was 3.0 for the NLR (sensitivity 48.1%, specificity 86.4%, AUC 0.674). (B) The optimal cutoff value was 135.0 for the PLR (sensitivity 37.0%, specificity 85.2%, AUC 0.630). (C) The optimal cutoff value was 6.2 for the LMR (sensitivity 70.4%, specificity 76.1%, AUC 0.773).](/cms/asset/924c6af3-8d5b-4a62-a568-32f27335b553/dcmr_a_12189436_f0002_c.jpg)
Table 2 Baseline Characteristics of the Patients According to the NLR, PLR and LMR
Table 3 Analysis of the Correlation Between Inflammatory Factors and pCR
Table 4 Prognostic Factors for Postoperative Disease-Free Survival in Breast Cancer