The value of inflammation-related indicators in chemotherapy efficacy and DFS of triple-negative breast cancer

Background: Neoadjuvant chemotherapy (NAC) is an important measure for improving the prognosis of early operable Triple-negative breast cancer (TNBC) patients. Inflammation-related indicators can predict the outcome of TNBC patients. Methods: Kaplan-Meier curves were used to evaluate survival. The correlation between these indicators and NAC efficacy was analyzed using t-tests. Models for univariate and multivariate Cox regression analyses were performed to determine the independent risk factors. A nomogram was used for the prediction of one-, two-, and three-year disease-free survival (DFS). Results: IL-6, PLR, SII, and Ki-67 levels were associated with neoadjuvant efficacy. IL-6, PLR, SII, Ki-67, and lymphocyte count were associated with DFS. The risk score for each TNBC patient was obtained using LASSO regression analysis to construct a prognostic model. In the prognostic model, patients in the high-risk score group showed worse DFS than those in the low-risk group. Risk score and tumor size were independently correlated with outcomes in multivariate Cox regression analysis. A nomogram was constructed using IL-6, PLR, SII, Ki67, and Miller-Payne (MP) scores. Calibration curves demonstrated good consistency between the actual and predictive values of the nomogram. Conclusion: A prognostic model was established by combining four prognosis-related indicators in TNBC patients who underwent NAC.