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METABANK 评分:用于预测寡转移疾病立体定向放疗后生存的临床工具。

The METABANK score: A clinical tool to predict survival after stereotactic radiotherapy for oligometastatic disease.

机构信息

Department of Radiotherapy, UZ Brussel, Vrije Universiteit Brussel, Belgium.

Department of Radiotherapy, UZ Brussel, Vrije Universiteit Brussel, Belgium.

出版信息

Radiother Oncol. 2019 Apr;133:113-119. doi: 10.1016/j.radonc.2019.01.001. Epub 2019 Jan 24.

Abstract

BACKGROUND AND PURPOSE

Stereotactic radiotherapy (SRT, SBRT) is widely used in oligometastatic cancer, but the heterogeneity of the population complicates estimation of the prognosis. We investigated the role of different clinical and inflammatory parameters.

MATERIALS AND METHODS

We included all patients treated with SRT for 1-5 oligometastases between 2003 and 2017 in our center. Patients were randomized between a model training set (2/3) and a separate validation set (1/3). A Cox regression model was built, validated and risk points were attributed to the resulting parameters.

RESULTS

403 patients received SRT for 760 metastases. Treated sites were mainly lung, liver, nodal areas, and brain. Most common primaries were colorectal and lung cancer. Median follow-up for living patients reached 42 months and median overall survival (MS) was 26.6 months (95% CI 23.8-29.3). Five independent adverse factors were discriminated: male sex, synchronous timing of oligometastases, brain metastasis, non-adenocarcinoma histology, KPS <80. A risk score is formed by summation of the points of each factor (M:4, T:2, B:7, N:7, K:8). Four risk groups were defined: (1) 0-2 points: MS 41.2 months (95% CI 30.2-52.3); (2) 3-8 points: 29.3 months (24.6-34.0); (3) 9-13 points: 17.4 months (10.1-24.7), and (4) 14-28 points: 7.9 months (5.5-10.3).

CONCLUSION

We propose a prognostic score applicable in a variety of primary tumors and disease locations, including presence of brain metastases. The nomogram and risk groups can be used to stratify patients in new trials and to support individualized care for oligometastatic patients. An online calculator will become available at predictcancer.org.

摘要

背景与目的

立体定向放疗(SRT,SBRT)广泛应用于寡转移癌,但人群的异质性使得预后的评估变得复杂。我们研究了不同临床和炎症参数的作用。

材料与方法

我们纳入了 2003 年至 2017 年间在我们中心接受 1-5 个寡转移灶 SRT 治疗的所有患者。患者被随机分为模型训练集(2/3)和独立验证集(1/3)。建立了 Cox 回归模型,并对其进行验证,将风险点分配给由此产生的参数。

结果

403 例患者共接受了 760 个转移灶的 SRT 治疗。治疗部位主要是肺、肝、淋巴结区和脑。最常见的原发灶是结直肠癌和肺癌。有生存的患者中位随访时间达到 42 个月,中位总生存期(MS)为 26.6 个月(95%CI 23.8-29.3)。有 5 个独立的不良因素被区分出来:男性、寡转移灶的同步性、脑转移、非腺癌组织学、KPS<80。通过每个因素的得分总和形成一个风险评分(M:4,T:2,B:7,N:7,K:8)。定义了 4 个风险组:(1)0-2 分:MS 41.2 个月(95%CI 30.2-52.3);(2)3-8 分:29.3 个月(24.6-34.0);(3)9-13 分:17.4 个月(10.1-24.7);(4)14-28 分:7.9 个月(5.5-10.3)。

结论

我们提出了一种适用于多种原发肿瘤和疾病部位的预后评分,包括脑转移的存在。该列线图和风险组可用于新试验中的患者分层,并为寡转移患者提供个体化治疗。一个在线计算器将可在 predictcancer.org 上使用。

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