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Development of an Individualized Prediction Calculator for the Benefit of Postoperative Radiotherapy in Patients with Surgically Resected De Novo Stage IV Breast Cancer

机译:用于术后放疗患者的个性化预测计算器的发展手术切除术术患者IV阶段乳腺癌

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摘要

Purpose: Locoregional treatment has been increasingly adopted for metastatic breast cancer at presentation. This study aims to develop an individualized calculator to predict the benefit of postoperative radiotherapy (PORT) for patients with surgically resected de novo stage IV breast cancer. Methods and Materials: We searched the Surveillance, Epidemiology, and End Results (SEER) database for patients diagnosed with stage IV breast cancer between 2010 and 2014. After applying exclusion criteria, a total of 4473 patients were included in the analysis. Propensity score matching was used to balance the individual characteristics of the patients. After identifying the significant prognosticators, a nomogram was developed using multivariate regression models and internally validated. A web-based calculator was then constructed using a fitted survival prediction model. Results: With a median follow-up of 34 months, the three-year overall survival (OS) rates were 54.1% in the surgery alone group and 63.5% in the surgery + PORT group ( < 0.001). The survival benefit of PORT was maintained after propensity score matching ( < 0.001). Interaction testing of the prognostic variables found significant interactions between PORT and the presence of brain metastasis ( = 0.001), and between PORT and hormonal receptor expression ( = 0.018). After reviewing the performance of various models, a log-normal distributed survival model was adopted, with a C-index of 0.695. A calibration plot verified that the predicted survival rates were strongly correlated with the actual OS rates. A web-based survival calculator was constructed to provide individualized estimates of survival according to PORT. Conclusion: PORT significantly improved OS rates, though the individual benefit was affected by a number of factors. We successfully developed a nomogram and web-based calculator that predicted the prognosis according to PORT in patients with surgically resected de novo stage IV breast cancer. These tools are expected to be useful in clinical practice and in the design of related trials.
机译:目的:在介绍中越来越多地采用型脑膜乳腺癌。本研究旨在开发个性化计算器,以预测手术切除术后IV乳腺癌患者术后放射治疗(港口)的益处。方法和材料:我们在2010年和2014年间患有阶段IV乳腺癌的患者搜索监测,流行病学和最终结果(SEER)数据库。在施加排除标准后,共有4473名患者分析。倾向得分匹配用于平衡患者的个体特征。在识别出显着的预测器之后,使用多元回归模型和内部验证开发了一种铭文。然后使用拟合的存活预测模型构建基于网的计算器。结果:中位随访34个月,单人手术组的三年整体生存率(OS)率为54.1%,手术+端口组63.5%(<0.001)。在倾向得分匹配(<0.001)后保持港口的存活效益。预后变量的相互作用测试发现端口与脑转移(= 0.001)的存在之间的显着相互作用,以及端口和激素受体表达(= 0.018)。在审查各种型号的性能后,采用了对数正常分布的生存模型,C折射率为0.695。校准曲线验证了预测的生存率与实际OS速率强烈相关。构建了一种基于Web的生存计算器,根据端口提供个性化的存活估计。结论:港口显着提高了OS率,尽管各个益处受许多因素的影响。我们成功开发了一种铭文和基于Web的计算器,该计算器预测了根据患者患者的预后,通过手术切除了De Novo阶段IV乳腺癌。这些工具预计可用于临床实践和相关试验的设计。

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