Open Access

A nomogram for predicting survival in patients with breast cancer brain metastasis

  • Authors:
    • Zhou Huang
    • Bing Sun
    • Shikai Wu
    • Xiangying Meng
    • Yang Cong
    • Ge Shen
    • Santai Song
  • View Affiliations

  • Published online on: March 14, 2018     https://doi.org/10.3892/ol.2018.8259
  • Pages: 7090-7096
  • Copyright: © Huang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Brain metastasis (BM) is common in patients with breast cancer. Predicting patient survival is critical for the clinical management of breast cancer brain metastasis (BCBM). The present study was designed to develop and evaluate a prognostic model for patients with newly diagnosed BCBM. Based on the clinical data of patients with BCBM treated in the Affiliated Hospital of Academy of Military Medical Sciences (Beijing, China) between 2002 and 2014, a nomogram was developed to predict survival using proportional hazards regression analysis. The model was validated internally by bootstrapping, and the concordance index (c‑index) was calculated. A calibration curve and c‑index were used to evaluate discriminatory and predictive ability, in order to compare the nomogram with widely used models, including recursive partitioning analysis (RPA), graded prognostic assessment (GPA) and breast‑graded prognostic assessment (Breast‑GPA). A total of 411 patients with BCBM were included in the development of this predictive model. The median overall survival time was 14.1 months. Statistically significant predictors for patient survival included biological subtype, Karnofsky performance score, leptomeningeal metastasis, extracranial metastasis, the number of brain metastases and disease‑free survival. A nomogram for predicting 1‑ and 2‑year overall survival rates was constructed, which exhibited good accuracy in predicting overall survival with a concordance index of 0.735. This model outperformed RPA, GPA and Breast‑GPA, based on the comparisons of the c‑indexes. The nomogram constructed based on a multiple factor analysis was able to more accurately predict the individual survival probability of patients with BCBM, compared with existing models.
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May-2018
Volume 15 Issue 5

Print ISSN: 1792-1074
Online ISSN:1792-1082

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Copy and paste a formatted citation
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Spandidos Publications style
Huang Z, Sun B, Wu S, Meng X, Cong Y, Shen G and Song S: A nomogram for predicting survival in patients with breast cancer brain metastasis. Oncol Lett 15: 7090-7096, 2018
APA
Huang, Z., Sun, B., Wu, S., Meng, X., Cong, Y., Shen, G., & Song, S. (2018). A nomogram for predicting survival in patients with breast cancer brain metastasis. Oncology Letters, 15, 7090-7096. https://doi.org/10.3892/ol.2018.8259
MLA
Huang, Z., Sun, B., Wu, S., Meng, X., Cong, Y., Shen, G., Song, S."A nomogram for predicting survival in patients with breast cancer brain metastasis". Oncology Letters 15.5 (2018): 7090-7096.
Chicago
Huang, Z., Sun, B., Wu, S., Meng, X., Cong, Y., Shen, G., Song, S."A nomogram for predicting survival in patients with breast cancer brain metastasis". Oncology Letters 15, no. 5 (2018): 7090-7096. https://doi.org/10.3892/ol.2018.8259