Development of graded prognostic assessment for breast Cancer brain metastasis incorporating extracranial metastatic features: a retrospective analysis of 284 patients.

BMC Cancer

Department of Medical Oncology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.

Published: October 2024

AI Article Synopsis

  • Breast cancer brain metastasis (BCBM) severely impacts survival and quality of life, and the study aims to refine prognostic predictions by focusing on extracranial metastasis (ECM) factors.
  • Researchers analyzed 284 BCBM patients to compare survival outcomes based on ECM characteristics, revealing that fewer ECM locations and a lower number of involved organs correlated with better overall survival rates.
  • By integrating detailed ECM features into the existing Graded Prognostic Assessment (GPA) model, the study improved prognostic accuracy for predicting patient outcomes in BCBM cases.

Article Abstract

Background: Breast cancer brain metastasis (BCBM) is associated with poor survival outcomes and reduced quality of life. The Graded Prognostic Assessment (GPA) score model serves as a well-established tool for predicting the prognosis of BCBM. Notably, the presence of extracranial metastasis (ECM) is considered as a significant prognostic factor in the breast GPA model. This study aims to further refine other features of ECM to enhance the prognostic prediction for BCBM.

Methods: This study included all inpatients diagnosed with BCBM at the Cancer Hospital, Chinese Academy of Medical Sciences, from January 2010 to July 2021. Baseline characteristics of patients were compared based on features of ECM, including the presence, number, location, and control status of metastases. Overall survival (OS) were compared using the Kaplan-Meier method with log-rank tests. Cox regression analyses were conducted to identify significant prognostic factors. The aforementioned ECM features were incorporated into the original Breast-GPA model to enhance its prognostic accuracy. The concordance index (C-index) and restricted mean survival time (RMST) were utilized to evaluate and compare the predictive accuracy of the updated and original survival models.

Results: 284 patients with BCBM were included in the study. Kaplan-Meier survival curves suggested that patients without ECM when diagnosed with BCBM showed better survival (p = 0.007). In the subgroups with ECM, more than 3 organs involved, both bone and visceral metastasis and progressive ECM portended dismal OS (p = 0.003, 0.001 and <0.001). Multivariate analysis demonstrated that molecular subtype, presence of ECM, and number of brain metastasis significantly influenced OS after BCBM. By modifying the current GPA model to include more precise characteristics of ECM, the predictive accuracy was further enhanced as indicated by the C-index and RMST curve.

Conclusions: More ECM sites, both bone and visceral invasion and uncontrolled ECM were dismal prognostic factors for survival outcomes of BCBM patients. A new Breast-GPA model with better predictive effect was constructed.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11465582PMC
http://dx.doi.org/10.1186/s12885-024-12983-3DOI Listing

Publication Analysis

Top Keywords

graded prognostic
8
prognostic assessment
8
breast cancer
8
cancer brain
8
brain metastasis
8
284 patients
8
features ecm
8
enhance prognostic
8
diagnosed bcbm
8
ecm
7

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!