Zhao Chenglong, Wang Yao, Cai Xiaopan, Xu Wei, Wang Dongsheng, Wang Ting, Jia Qi, Gong Haiyi, Sun Haitao, Wu Zhipeng, Xiao Jianru
Spine Tumor Center, Department of Orthopedic Oncology, Changzheng Hospital, Navy Medical University, Shanghai, People's Republic of China.
Cancer Manag Res. 2020 Nov 10;12:11501-11513. doi: 10.2147/CMAR.S273785. eCollection 2020.
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.
Altogether, 144 patients were included in this study. Univariate and multivariate analyses were performed to investigate the significance of preoperative parameters and identify independent factors for prognostic prediction of BCSM. A nomogram for survival prediction was then established and validated. Time-dependent ROC (TDROC) curves were graphed to evaluate the accuracy of the novel model vs other scoring systems including Tomita Score, revised Tokuhashi Score, modified Bauer Score and New England Spinal Metastasis Score. values <0.05 were considered statistically significant.
Independent factors, including preoperative postmenopausal (=0.034), visceral metastasIs (=0.021), preoperative Frankel Score (=0.001), estrogen receptor status (=0.014), platelet-to-lymphocyte ratio (=0.012), lymphocyte-monocyte ratio (<0.001) and albumin-globulin ratio (=0.017), were selected into the nomogram model with the C-index of 0.834 (95% CI, 0.789-0.890). TDROC curves showed that the Changzheng Hospital (CZ) Score system had the best performance and exhibited the largest IAUC value in comparison with the other scoring systems.
We constructed a nomogram model known as CZ Score based on the significant factors to predict the prognosis for BCSM patients. The result showed that CZ Score had a better value for prognostic evaluation and surgical decision-making as compared with the other scoring systems.
手术仍然是乳腺癌脊柱转移(BCSM)治疗的主要手段,以缓解症状并提高BCSM患者的生活质量。因此,有效预测患者的预后以确定他们是否能够接受手术至关重要。然而,目前普遍使用的预后评估方法对于像乳腺癌这样的特定恶性肿瘤缺乏特异性和敏感性,因为它们是基于相对少量的异质性原发性肿瘤类型建立的。本研究的目的是基于BCSM患者在接受手术干预前获得的临床、病理和血液参数探索一种新的预测模型。
本研究共纳入144例患者。进行单因素和多因素分析以研究术前参数的意义,并确定BCSM预后预测的独立因素。然后建立并验证了生存预测列线图。绘制时间依赖性ROC(TDROC)曲线以评估新模型与其他评分系统(包括Tomita评分、修订的Tokuhashi评分、改良的Bauer评分和新英格兰脊柱转移评分)相比的准确性。P值<0.05被认为具有统计学意义。
独立因素,包括术前绝经状态(P = 0.034)、内脏转移(P = 0.021)、术前Frankel评分(P = 0.001)、雌激素受体状态(P = 0.014)、血小板与淋巴细胞比值(P = 0.012)、淋巴细胞与单核细胞比值(P < 0.001)和白蛋白与球蛋白比值(P = 0.017),被纳入列线图模型,C指数为0.834(95%CI,0.789 - 0.890)。TDROC曲线显示,与其他评分系统相比,长征医院(CZ)评分系统表现最佳,IAUC值最大。
我们基于显著因素构建了一种称为CZ评分的列线图模型来预测BCSM患者的预后。结果表明,与其他评分系统相比,CZ评分在预后评估和手术决策方面具有更好的价值。