Department of oncology, Huashan Hospital Fudan University, Shanghai, 200040, China.
Company 4, Battalion 1, Cadet Brigade 1, Fourth Military Medical University, Xi'an, 710032, China.
BMC Cancer. 2017 Nov 21;17(1):774. doi: 10.1186/s12885-017-3763-x.
Brain metastases (BM) from non-small cell lung cancer (NSCLC) are the most frequent intracranial tumors. To identify patients who might benefit from intracranial surgery, we compared the six existing prognostic indexes(PIs) and built a nomogram to predict the survival for NSCLC with BM before they intended to receive total intracranial resection in China.
First, clinical data of NSCLC presenting with BM were retrospectively reviewed. All of the patients had received total intracranial resection and were randomly distributed to developing cohort and validation cohort by 2:1. Second, we stratified the cohort using a recursive partitioning analysis(RPA), a score index for radiosurgery (SIR), a basic score for BM (BS-BM), a Golden Grading System (GGS), a disease-specific graded prognostic assessment (DS-GPA) and by NSCLC-RADES. The predictive power of the six PIs was assessed using the Kaplan-Meier method and the log-rank test. Third, univariate and multivariate analysis were explored, and the nomogram predicting survival of BMs from NSCLC was constructed using R 3.2.3 software. The concordance index (C-index) was calculated to evaluate the discriminatory power of the nomogram in the developing cohort and validation cohort.
BS-BM could better predict survival of patients before intracranial surgery compared with other PIs. In the final multivariate analysis, KPS at diagnosis of BM, metachronous or synchronous BM and the histology of lung cancer appeared to be the independent prognostic predictors for survival. The C-index in the developing cohort and validation cohort were 0.75 and 0.71 respectively, which was better than the C-index of the other six PIs.
The new nomogram is a promising tool in further choosing the candidates for intracranial surgery among NSCLC with BM and in helping physicians tailor suitable treatment options before operation in clinical practice.
非小细胞肺癌(NSCLC)脑转移(BM)是最常见的颅内肿瘤。为了确定可能从颅内手术中获益的患者,我们比较了六种现有的预后指标(PI),并构建了一个列线图来预测中国 NSCLC 伴 BM 患者在接受全脑切除术前的生存情况。
首先,回顾性分析了 NSCLC 伴 BM 的临床资料。所有患者均接受了全脑切除术,并按 2:1 的比例随机分配到开发队列和验证队列。其次,我们使用递归分区分析(RPA)、立体定向放射外科评分指数(SIR)、BM 基本评分(BS-BM)、Golden 分级系统(GGS)、疾病特异性分级预后评估(DS-GPA)和 NSCLC-RADES 对队列进行分层。使用 Kaplan-Meier 方法和对数秩检验评估六种 PI 的预测能力。第三,进行单因素和多因素分析,并使用 R 3.2.3 软件构建预测 NSCLC BM 生存的列线图。计算一致性指数(C-index)以评估列线图在开发队列和验证队列中的区分能力。
BS-BM 比其他 PI 能更好地预测颅内手术前患者的生存情况。在最终的多因素分析中,BM 诊断时的 KPS、同步或异时性 BM 以及肺癌的组织学似乎是生存的独立预后预测因素。在开发队列和验证队列中的 C-index 分别为 0.75 和 0.71,优于其他六种 PI 的 C-index。
新的列线图是一种很有前途的工具,可以进一步选择 NSCLC 伴 BM 患者进行颅内手术的候选者,并在临床实践中帮助医生在手术前选择合适的治疗方案。