Correlation analysis of lymphocyte-monocyte ratio with pathological complete response and clinical prognosis of neoadjuvant chemotherapy in patients with breast cancer

• We evaluated the impact of LMR on pCR and prognosis in breast cancer patients. • High LMR predicts increased pCR in HER2(+) breast cancer patients. • High LMR predicts a better prognosis in neoadjuvant chemotherapy patients. • LMR is an economical and easy detection index for patients. Inflammation plays an important role in tumor proliferation, metastasis, and chemotherapy resistance. Peripheral blood lymphocyte-monocyte ratio (LMR) has been reported to be closely associated with the prognosis of many tumors, such as certain hematologic malignancies and gastric cancer. However, the association in breast cancer is still not clear. This study investigated the relationship between LMR with pathological complete response and clinical prognosis of neoadjuvant chemotherapy in patients with breast cancer, to provide convenient and accurate predictive indicators for pathological complete response (pCR) and prognosis. The clinicopathological data of 192 female breast cancer patients who received neoadjuvant chemotherapy and surgery in Harbin Medical University Tumor Hospital from January 2013 to August 2017 were retrospectively analyzed. Blood lymphocytes and monocytes were obtained by peripheral venous punctures. Compared with the low LMR group, pCR was more easily obtained in the high LMR group (P=0.020); Subgroup analysis showed that patients with the high LMR and HER-2(+) group were more likely to obtain pCR (P=0.011).Univariate andmultivariate results showed that the overall survival (OS) and disease free survival (DFS) of the high LMR group were longer than that of the low LMR group. LMR and HER-2 status are correlated with pCR of neoadjuvant chemotherapy in breast cancer patients and are independent predictors of pCR after neoadjuvant chemotherapy in breast cancer patients. Meanwhile, both LMR and T stage of tumor are independent prognostic factors of breast cancer patients, with good predictive value.