Department of Respiratory and Critical Care Medicine, Maoming People's Hospital, Maoming, China.
Department of Otolaryngology, Maoming People's Hospital, Maoming, China.
Adv Ther. 2022 Jan;39(1):346-359. doi: 10.1007/s12325-021-01974-6. Epub 2021 Nov 3.
Small cell lung cancer (SCLC) is known for its rapid clinical progression and poor prognosis. In this study, we sought to establish a prognostic nomogram among SCLC patients who received chemotherapy.
We obtained 4971 SCLC patients' clinical information from the Surveillance, Epidemiology, and End Results (SEER) database for the period between 2004 and 2015. Patients were divided into training and validation sets. Two nomograms were established based on limited stage (LS) and extensive stage (ES) SCLC patients to predict 1-, 2-, and 3-year overall survival (OS) incorporating superior parameters from multivariate Cox regression. Receiver-operating characteristic curves (ROCs) were applied to assess the discrimination ability of the nomogram while the calibration plots were applied to verify the model. Kaplan-Meier method was applied to find survival curves. Decision curve analysis (DCA) was applied to compare OS between the nomograms and 7th American Joint Committee on Cancer (AJCC) tumor node metastasis (TNM) staging system.
Four and six clinical parameters were identified as significant prognostic factors for LS-SCLC and ES-SCLC patient's OS, respectively. The ROC curves indicated satisfactory discrimination capacity of the nomogram, with 1-, 2-, and 3-year area under curve (AUC) values of 0.89, 0.81, and 0.79 in LS-SCLC patients and 0.71, 0.66, and 0.66 in ES-SCLC patients, respectively. Calibration curves indicated that the nomogram showed good agreement with actual observations in survival rate probability. The survival curves among the LS-SCLC and ES-SCLC cohorts were consistent with the high-risk group having a worse prognosis than the low-risk group. Moreover, ROC and DCA curves showed our nomograms had more benefits than the 7th AJCC-TNM staging system.
We established two nomograms that can present individual predictions of OS among LS-SCLC and ES-SCLC patients who received chemotherapy. These proposed nomograms may aid clinicians in treatment strategy and design of clinical trials.
小细胞肺癌(SCLC)以其快速的临床进展和不良预后而闻名。在这项研究中,我们试图为接受化疗的 SCLC 患者建立一个预后列线图。
我们从 2004 年至 2015 年期间的监测、流行病学和最终结果(SEER)数据库中获得了 4971 名 SCLC 患者的临床信息。患者被分为训练集和验证集。基于局限期(LS)和广泛期(ES)SCLC 患者,我们建立了两个列线图,以预测纳入多变量 Cox 回归后具有优越参数的 1、2 和 3 年总生存率(OS)。应用受试者工作特征曲线(ROC)评估列线图的区分能力,应用校准图验证模型。Kaplan-Meier 法用于寻找生存曲线。决策曲线分析(DCA)用于比较列线图与第 7 版美国癌症联合委员会(AJCC)肿瘤淋巴结转移(TNM)分期系统之间的 OS。
确定了 4 个和 6 个临床参数分别为 LS-SCLC 和 ES-SCLC 患者 OS 的显著预后因素。ROC 曲线表明列线图具有令人满意的区分能力,LS-SCLC 患者的 1、2 和 3 年 AUC 值分别为 0.89、0.81 和 0.79,ES-SCLC 患者分别为 0.71、0.66 和 0.66。校准曲线表明,在生存率概率方面,该列线图与实际观察结果具有良好的一致性。LS-SCLC 和 ES-SCLC 队列的生存曲线与高风险组预后较差的情况一致。此外,ROC 和 DCA 曲线表明我们的列线图比第 7 版 AJCC-TNM 分期系统具有更多的优势。
我们建立了两个列线图,可以为接受化疗的 LS-SCLC 和 ES-SCLC 患者提供 OS 的个体预测。这些提出的列线图可能有助于临床医生制定治疗策略和临床试验设计。