Open Access<p>Prognostic Significance of a Novel Score Model Based on Preoperative Indicators in Patients with Breast Cancer Spine Metastases (BCSM)</p>
Author(s) -
Chen Zhao,
Yao Wang,
Jianru Xiao,
Wei Xu,
Dongsheng Wang,
Ting Wang,
Qi Jia,
Haiyi Gong,
Haitao Sun,
Zhipeng Wu
Publication year - 2020
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 40
ISSN - 1179-1322
DOI - 10.2147/cmar.s273785
Subject(s) - medicine , breast cancer , nomogram , oncology , lymphovascular invasion , metastasis , cancer , univariate analysis , multivariate analysis
Surgery remains the mainstay of treatment for breast cancer spinal metastasis (BCSM) to relieve symptoms and improve the quality of life of BCSM patients. Therefore, it is important to effectively predict the prognosis of patients to determine whether they can undergo surgical operation. However, the prevalent methods for prognosis evaluation lack specificity and sensitivity for indicated malignancies like breast cancer because they are built on a relatively small number of heterogeneous types of primary tumors. The aim of the present study was to explore a novel predictive model based on the clinical, pathological and blood parameters obtained from BCSM patients before they received surgical intervention.