The prognosis of breast cancer patients with brain metastasis is poor. It was aimed to define the clinicopathological features of breast cancer patients with brain metastases and to determine the risk factors and survival outcomes associated with brain metastasis. This is a single-center, retrospective, cross-sectional study. A total number of 127 patients diagnosed with breast cancer and who developed brain metastasis between January 2011 and March 2021 were retrospectively analyzed. The survival and clinicopathological data of these patients according to 4 biological subtypes were evaluated (luminal A, luminal B, HER-2 overexpressing, and triple-negative). The median overall survival for all patients was 45.6 months. The median time from the diagnosis of breast cancer to the occurrence of brain metastasis was 29.7 months, and the median survival time after brain metastasis was 7.2 months. The time from the diagnosis of breast cancer to brain metastasis development was significantly shorter in HER-2 overexpressing and triple-negative subtypes than in luminal A and B subtypes. The median time from breast cancer diagnosis to brain metastasis was 33.5 months in luminal A, 40.6 months in luminal B, 16.8 months in HER-2 overexpressing, and 22.8 months in the triple-negative groups ( ). We found the worst median survival after brain metastasis in the triple-negative group with 3.5 months. Early and close surveillance of high-risk patients may help early diagnosis of brain metastasis and may provide to perform effective treatments leading to longer overall survival times for this patient population.

Objective: To evaluate the predictive significance of systemic inflammation markers (SIMs) in patients with glioblastoma multiforme (GBM), who were treated with bevacizumab (Beva). Study Design: Descriptive study. Place and Duration of Study: The study was conducted at the Bezmialem Vakif University School of Medicine Hospital, Istanbul, Turkey, from January 2014 to September 2019. Methodology: A total of 107 patients, 49 (45.8%) female and 58 (54.2%) male, were retrospectively included in the study. The cut-off values for the SIMs-C-reactive protein to albumin ratio (CAR), neutrophil to lymphocyte (NLR) platelet to lymphocyte ratio (PLR), and systemic immune-inflammatory index (SIII))-were defined by receiver operating characteristic (ROC) analysis. Overall survival (OS) was plotted using the Kaplan-Meier method and compared using the log-rank test. Cox regression analysis was performed for univariate and multivariate analyses. Results: ROC analysis was performed to determine the optimal prognostic value of each parameter. CAR: 1.32, NLR: 2.9, PLR: 159, and SIII: 785 were determined as cut-off values for predicting OS based on the areas under the curve (AUC) in the ROC analysis. CAR at 0.626, had sensitivity of 67%, and specificity of 71% (p=0.129); NLR at 0.725 had sensitivity of 67%, and specificity of 79% (p=0.007); PLR at 0.675 had sensitivity of 67%, and specificity of 64% (p=0.036); and SIII at 0.685, had sensitivity of 56%, and specificity of 71% (p=0.026). A multivariate analysis demonstrated that CAR (p=0.006) and PLR (p=0.024) were independent prognostic factors for OS in patients with GBM, treated by Beva. Conclusion: The present study's findings suggest that pretreatment CAR and PLR might be an independent predictive marker for patients with GBM, who are treated by Beva.