Abstract: Objective To determine the expression of HIF-1α and c-myc in triple-negative breast cancer and establish a predictive model for postoperative survival.Methods Tissue microarray including clinical and follow-up data of 161 triple negative breast cancer patients was selected in this study.Immunohistochemistry was performed to detected the expression of HIF-1α and c-myc protein in breast cancer tissues.We used cox regression analysis to explore the correlation between HIF-1α/c-myc expression and clinical pathological parameters as well as prognosis.ROC curve was generated for cox multivariate analysis.A nomogram was generated based on the cox multivariate analysis.Results The positive expression rates of HIF-1α and c-myc protein in breast cancer tissues were 45.3%(73/161) and 59.0%(95/161),respectively.Cox univariate and multivariate analysis showed that HIF-1α and c-myc protein expression,histological grade,lymph node status,and tumor TNM stage were the independent risk factors for postoperative survival in triple-negative breast cancer patients.The AUC of prediction model was 0.820(0.796-0.854).The nomogram could predict the probability of 3 years disease free survival according to each patient's condition.Conclusion High expression of HIF-1α and c-myc,as well as histological grade Ⅲ,positive lymph node,stage Ⅲ tumors suggest that patients with triple-negative breast cancer have a poor prognosis.The prediction model can be used to predict postoperative survival.

Key words: triple-negative breast cancer, HIF-1α, c-myc, nomogram, prognosis