Abstract:Objective To explore the value of interleukin-6 combined with neutrophil-lymphocyte ratio in evaluating the prognosis of triple-negative breast cancer. Methods One hundred and twenty-seven patients with triple-negative breast cancer admitted to our hospital from January 2013 to May 2016 were enrolled for a 3-year follow-up. Survival curves were drawn based on follow-up results. Single-factor and multivariate regression analysis were used to screen out independent risk factors affecting the prognosis of triple-negative breast cancer. ROC curves were established to evaluate the predictive power of each potential indicator for the prognosis of triple-negative breast cancer. Logistic regression model was used to establish a joint diagnosis, and the feasibility of combined diagnosis to evaluate the prognosis of triple-negative breast cancer was explored. Results The patient’s poor prognosis rate was 14.96%; TNM stage [Rl ^ R = 0.036 (95 CI: 1.498, 3.883), P = 0.036], CEA [Rl ^ R = 2.151 (95 CI: 1.120, 4.131), P = 0.000], Ca 125 [Rl ^ R = 1.775 (95 CI: 1.073, 2.937), P = 0.008], NLR [Rl ^ R = 1.641 (95 CI: 1.279, 2.105), P = 0.032] and IL-6 [Rl ^ R = 1.305 (95 CI: 1.120, 1.521), P = 0.017] are independent risk factors for prognosis; CEA [Rl ^ R = 2.115 (95 CI: 1.353, 3.307), P = 0.002], NLR [Rl ^ R = 1.851 (95 CI: 1.783, 1.921), P = 0.027] and IL-6 [Rl ^ R = 1.344 (95 CI: 1.081, 1.671), P = 0.018] were independent risk factors for prognosis. The ratio of neutrophils to lymphocytes combined with IL-6 was the highest (0.740) in predicting the prognosis of triple negative breast cancer, which was higher than the AUC diagnosed separately. Conclusions NLR and IL-6 have appraisal value for the prognosis of triple-negative breast cancer, and the combined diagnosis can be used as a diagnostic indicator for the prognosis of triple-negative breast cancer.