Predictive nomogram based on serum tumor markers and clinicopathological features for stratifying lymph node metastasis in breast cancer.

BACKGROUND: This study was aimed to establish the nomogram to predict patients' axillary node status by using patients' clinicopathological and tumor characteristic factors. METHODS: A total of 705 patients with breast cancer were enrolled in this study. All patients were randomly divided into a training group and a validation group. Univariate and multivariate ordered logistic regression were used to determine the predictive ability of each variable. A nomogram was performed based on the factors selected from logistic regression results. Receiver operating characteristic curve (ROC) analysis, calibration plots and decision curve analysis (DCA) were used to evaluate the discriminative ability and accuracy of the models. RESULTS: Logistic regression analysis demonstrated that CEA, CA125, CA153, tumor size, vascular-invasion, calcification, and tumor grade were independent prognostic factors for positive ALNs. Integrating all the predictive factors, a nomogram was successfully developed and validated. The C-indexes of the nomogram for prediction of no ALN metastasis, positive ALN, and four and more ALN metastasis were 0.826, 0.706, and 0.855 in training group and 0.836, 0.731, and 0.897 in validation group. Furthermore, calibration plots and DCA demonstrated a satisfactory performance of our nomogram. CONCLUSION: We successfully construct and validate the nomogram to predict patients' axillary node status by using patients' clinicopathological and tumor characteristic factors.

Tumor infiltrating neutrophil might play a major role in predicting the clinical outcome of breast cancer patients treated with neoadjuvant chemotherapy.

BACKGROUND: This study was aimed to explore the predictive ability of tumor infiltrating neutrophil (TIN) in patients with breast cancer treated with neoadjuvant chemotherapy (NACT). Furthermore, the significance of TIN's dynamic change before and after NACT was investigated. METHODS: Between January 2004 and December 2017, a total of 133 patients with breast cancer who underwent NACT before surgery were enrolled in this retrospective cohort. Eighty-nine of them were able to get the core needle biopsy (CNB) samples and all the pathological samples after surgery were available. TIN was detected by immunohistochemical staining of CD66b. The optimal cut-off value was determined via receiver operating characteristic (ROC) curve analysis. The association of clinicopathologic characteristics and chemotherapy efficiency was analyzed using X2 test or Fisher's exact test or t-test as appropriate, and the prognostic significances were assessed by univariate and multivariate analyses. RESULTS: Patients with higher TIN after NACT were confirmed to be significantly associated with worse prognosis (P = 0.002). After stratifying patients into two groups, high difference group was prone to have better chemotherapy efficiency (P < 0.001) and clinical outcome in both univariate (P = 0.002) and multivariate analyses (P = 0.003). CONCLUSIONS: In this study, higher TIN after NACT was confirmed to be associated with breast cancer patients' worse chemotherapy efficiency and shorter disease-free survival (DFS). Furthermore, the TIN's dynamic change before and after NACT was firstly proved to be a more accurate predictive marker compared with TIN after NACT.

Neutrophil to lymphocyte ratio is a prognostic factor for disease free survival in patients with breast cancer underwent curative resection.

The aim of this study was to explore the prognostic significance of neutrophil-to-lymphocyte ratio (NLR) in patients with breast cancer after curative resection. Furthermore, we aimed to confirm the prognostic significance of NLR in early stage and different molecular types of breast cancer, as well as patients treated with neoadjuvant chemotherapy (NACT).A total of 2458 patients between January 2002 and December 2014 from 2 independent cohorts were analyzed retrospectively. The optimal cut-off value of NLR for recurrence was determined via receiver operating characteristic (ROC) curve analysis. Univariate and multivariate analyses were used to assess the relationship between NLR and disease-free survival (DFS).Both univariate and multivariate analysis showed that patients with high NLR were more inclined to suffer postoperative recurrence in 2 independent cohorts. NLR was identified as independent prognostic factor for DFS of early stage breast cancer (P < .05), different types of breast cancer (P < .05) and patients treated with NACT (P < .05).Our data suggest NLR is independent prognostic factor for breast cancer patients. In addition, the prognostic value of NLR was further confirmed in early stage and different molecular types of breast cancer as well as patients treated with NACT.