Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China.
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
BMC Cancer. 2020 Jul 17;20(1):666. doi: 10.1186/s12885-020-07147-y.
This study aimed to establish a novel nomogram prognostic model to predict death probability for non-small cell lung cancer (NSCLC) patients who received surgery..
We collected data from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute in the United States. A nomogram prognostic model was constructed to predict mortality of NSCLC patients who received surgery.
A total of 44,880 NSCLC patients who received surgery from 2004 to 2014 were included in this study. Gender, ethnicity, tumor anatomic sites, histologic subtype, tumor differentiation, clinical stage, tumor size, tumor extent, lymph node stage, examined lymph node, positive lymph node, type of surgery showed significant associations with lung cancer related death rate (P < 0.001). Patients who received chemotherapy and radiotherapy had significant higher lung cancer related death rate but were associated with significant lower non-cancer related mortality (P<0.001). A nomogram model was established based on multivariate models of training data set. In the validation cohort, the unadjusted C-index was 0.73 (95% CI, 0.72-0.74), 0.71 (95% CI, 0.66-0.75) and 0.69 (95% CI, 0.68-0.70) for lung cancer related death, other cancer related death and non-cancer related death.
A prognostic nomogram model was constructed to give information about the risk of death for NSCLC patients who received surgery.
本研究旨在建立一种新的列线图预后模型，以预测接受手术治疗的非小细胞肺癌（NSCLC）患者的死亡概率。
我们从美国国家癌症研究所的监测、流行病学和最终结果（SEER）数据库中收集数据。构建了一个列线图预后模型，以预测接受手术治疗的 NSCLC 患者的死亡率。
本研究共纳入 2004 年至 2014 年接受手术治疗的 44880 例 NSCLC 患者。性别、种族、肿瘤解剖部位、组织学亚型、肿瘤分化程度、临床分期、肿瘤大小、肿瘤范围、淋巴结分期、检查淋巴结数、阳性淋巴结数、手术类型与肺癌相关死亡率显著相关（P<0.001）。接受化疗和放疗的患者肺癌相关死亡率显著升高，但与非癌症相关死亡率显著降低相关（P<0.001）。基于训练数据集的多变量模型建立了列线图模型。在验证队列中，未调整的 C 指数分别为 0.73（95%CI，0.72-0.74）、0.71（95%CI，0.66-0.75）和 0.69（95%CI，0.68-0.70），用于肺癌相关死亡、其他癌症相关死亡和非癌症相关死亡。
构建了一个预后列线图模型，为接受手术治疗的 NSCLC 患者提供了死亡风险的信息。
