Abstract PS14-19: Characteristics of breast cancer brain metastases presentation by subtype and validation of the modified breast graded prognostic assessment

Author(s):  
Yuki Kawahara ◽  
Matthew Fahey ◽  
Thrisha K Potluri ◽  
Matthew N Mills ◽  
Nicholas B Figura ◽  
...  
CNS Oncology ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Cheng-Hung Tai ◽  
Cheng-Chia Wu ◽  
Mark E Hwang ◽  
Anurag Saraf ◽  
Christopher Grubb ◽  
...  

2015 ◽  
Vol 33 (15_suppl) ◽  
pp. 589-589
Author(s):  
Ming Chi ◽  
Vyshak Alva Venur ◽  
Alireza Mohammad Mohammadi ◽  
Samuel T. Chao ◽  
G. Thomas Budd ◽  
...  

2015 ◽  
Vol 33 (20) ◽  
pp. 2239-2245 ◽  
Author(s):  
Ishwaria M. Subbiah ◽  
Xiudong Lei ◽  
Jeffrey S. Weinberg ◽  
Erik P. Sulman ◽  
Mariana Chavez-MacGregor ◽  
...  

Purpose Several indices have been developed to predict overall survival (OS) in patients with breast cancer with brain metastases, including the breast graded prognostic assessment (breast-GPA), comprising age, tumor subtype, and Karnofsky performance score. However, number of brain metastases—a highly relevant clinical variable—is less often incorporated into the final model. We sought to validate the existing breast-GPA in an independent larger cohort and refine it integrating number of brain metastases. Patients and Methods Data were retrospectively gathered from a prospectively maintained institutional database. Patients with newly diagnosed brain metastases from 1996 to 2013 were identified. After validating the breast-GPA, multivariable Cox regression and recursive partitioning analysis led to the development of the modified breast-GPA. The performances of the breast-GPA and modified breast-GPA were compared using the concordance index. Results In our cohort of 1,552 patients, the breast-GPA was validated as a prognostic tool for OS (P < .001). In multivariable analysis of the breast-GPA and number of brain metastases (> three v ≤ three), both were independent predictors of OS. We therefore developed the modified breast-GPA integrating a fourth clinical parameter. Recursive partitioning analysis reinforced the prognostic significance of these four factors. Concordance indices were 0.78 (95% CI, 0.77 to 0.80) and 0.84 (95% CI, 0.83 to 0.85) for the breast-GPA and modified breast-GPA, respectively (P < .001). Conclusion The modified breast-GPA incorporates four simple clinical parameters of high prognostic significance. This index has an immediate role in the clinic as a formative part of the clinician's discussion of prognosis and direction of care and as a potential patient selection tool for clinical trials.


Sign in / Sign up

Export Citation Format

Share Document