ABSTRACT
PURPOSE: Brain metastases (BM) occur in 15-35% of patients with metastatic breast cancer, conferring poor prognosis and impairing quality of life. Clinical scores have been developed to classify patients according to their prognosis. We aimed to check the utility of the Breast Graded Prognostic Assessment (B-GPA) and its modified version (mB-GPA) and compare them in routine clinical practice. METHODS: This is an ambispective study including all patients with breast cancer BM treated in a single cancer comprehensive center. We analyzed the overall survival (OS) from BM diagnosis until death. The Kaplan-Meier method and Cox proportional hazard regression model were used in the analyses. ROC curves were performed to compare both scores. RESULTS: We included 169 patients; median age was 50 years. HER2-positive and triple negative patients were 33.7% and 20.7%, respectively. At the last follow-up, 90% of the patients had died. Median OS was 12 months (95% confidence interval 8.0-16.0 months). OS was worse in patients with > 3 BM and in patients with triple negative subtype. CONCLUSIONS: In our series, we confirm that B-GPA and mB-GPA scores correlated with prognosis. ROC curves showed that B-GPA and mB-GPA have similar prognostic capabilities, slightly in favor of mB-GPA.
Subject(s)
Brain Neoplasms/mortality , Brain Neoplasms/secondary , Breast Neoplasms/mortality , Breast Neoplasms/chemistry , Breast Neoplasms/classification , Breast Neoplasms/pathology , Confidence Intervals , Female , Humans , Kaplan-Meier Estimate , Middle Aged , Prognosis , Proportional Hazards Models , Quality of Life , ROC Curve , Receptor, ErbB-2 , Triple Negative Breast Neoplasms/mortality , Triple Negative Breast Neoplasms/pathologyABSTRACT
Phoneutria bahiensis Simó & Brescovit, 2001 is a large ctenid spider inhabiting the states of Bahia and Espírito Santo, Brazil. Considering that it is probably endemic, this species was included in the Brazilian red book of threatened species. Here, we predict the distribution range of P. bahiensis using 19 bioclimatic variables in the model design. The most septentrional record for this spider was indicated for northern Bahia. The model predicts that the distribution range covers the Atlantic Forest from the state of Paraíba to Rio de Janeiro, with the best suitable area in the Atlantic Forest of the state of Bahia. The bioclimatic variable with the best contribution to the model was precipitation in the driest quarter. Based on collected data, the species inhabits Ombrophilous Forests and Restinga vegetation, two ecosystems of the Atlantic Forest biome. In the best-predicted area of distribution, eleven Conservation Units were included.