A lot of inflammatory indicators are applied to estimate the curative effect of neoadjuvant chemotherapy of breast cancer, but it is not clear that which indicator is the best. To solve the question, four common indicators of 280 invasive breast cancer patients are compared. The study suggests that the pre-treatment SIRI as a useful prognostic factor is better than lymphocyte to monocyte ratio. It has been reported that the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR), as well as systemic inflammation response index (SIRI), are closely related with overall survival (OS) in breast cancer patients. However, which one is the optimal indicator is vague. This study incorporates 280 breast cancer patients who received NACT. A cut-off value of LMR, PLR, SIRI and NLR is determined by Youden index. The Pearson's X 2 test or Fisher's exact test is applied to compare the correlation of different clinicopathologic characteristics divided by SIRI. The K-M sur vival cur ves and log-rank test were applied to determine OS. Univariate and multivariable analysis are explored by the Cox regression model. We apply the Z test to contrast the prognostic capacity of SIRI, LMR, PLR, and NLR. At the meanwhile, we construct the nomogram based on the results of multivariable analysis. All enrolled cases are divided into t wo par ts by pretreatment SIRI (cut-off value = 0.52). Compared to high pre-treatment SIRI, high pre-treatment NLR and clinical T3 + T4 stage, the low pre-treatment SIRI, low pretreatment NLR and clinical T1 + T2 stage had longer OS time. The Z test showed that the SIRI group had bigger AUC than LMR and PLR, and the difference is statistically significant. The ability of nomogram, based on pretreatment SIRI, pre-treatment NLR and clinical T stage, to predict the 3-year, 5-year, and 8-year overall survival rates of breast malignant tumor patients is better than clinical TNM stage. Pre-treatment SIRI was a more crucial and integral prognostic index for breast malignant tumor patients receiving NACT. It could be helpful for doctors to predict the prognosis of breast malignant tumor patients and to evaluate the treatment status of patients.