Li Jiahao, Wang Yadong, Liu Yong, Liu Qiang, Shen Hongchang, Ren Xiaoyang, Du Jiajun
Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, PR China.
Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, PR China.
Heliyon. 2023 Dec 6;10(1):e23205. doi: 10.1016/j.heliyon.2023.e23205. eCollection 2024 Jan 15.
With the development of medical technology and change of life habits, early-stage lung adenocarcinoma (LUAD) has become more common. This study aimed to systematically analyzed clinicopathological factors associated to the overall survival (OS) of patients with Stage IA LUAD.
A total of 5942 Stage IA LUAD patients were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Kaplan-Meier methods and log-rank tests were used to compare the differences in OS. A nomogram constructed based on the Cox regression was evaluated by Concordance index (C index), calibration curve, decision curve analysis (DCA) and area under curve (AUC). And 136 patients were recruited from Shandong Province Hospital for external validation.
Cox analysis regression indicated that 12 factors, such as Diagnosis to Treatment Interval (DTI) and Income Level, were independent prognostic factors and were included to establish the nomogram. The C-index of our novel model was 0.702, 0.724 and 0.872 in the training, internal and external validation cohorts, respectively. The 3-year and 5-year survival AUCs and calibration curves showed excellent agreement in each cohort. Some new factors in the SEER database, including DTI and Income Level, were firstly confirmed as independent prognostic factors of Stage IA LUAD patients. The distribution of these factors in the T1a, T1b, and T1c subgroups differed and had different effects on survival.
We summarized 12 factors that affect prognosis and constructed a nomogram to predict OS of Stage IA LUAD patients who underwent operation. For the first time, new SEER database parameters, including DTI and Income Level, were proved to be survival-related.
随着医疗技术的发展和生活习惯的改变,早期肺腺癌(LUAD)变得越来越常见。本研究旨在系统分析与IA期LUAD患者总生存期(OS)相关的临床病理因素。
从监测、流行病学和最终结果(SEER)数据库中获取了5942例IA期LUAD患者。采用Kaplan-Meier方法和对数秩检验比较OS的差异。基于Cox回归构建的列线图通过一致性指数(C指数)、校准曲线、决策曲线分析(DCA)和曲线下面积(AUC)进行评估。并从山东省立医院招募了136例患者进行外部验证。
Cox分析回归表明,诊断至治疗间隔(DTI)和收入水平等12个因素是独立的预后因素,并被纳入以建立列线图。我们新模型在训练、内部和外部验证队列中的C指数分别为0.702、0.724和0.872。3年和5年生存AUC及校准曲线在每个队列中显示出极好的一致性。SEER数据库中的一些新因素,包括DTI和收入水平,首次被确认为IA期LUAD患者的独立预后因素。这些因素在T1a、T1b和T1c亚组中的分布不同,对生存的影响也不同。
我们总结了12个影响预后的因素,并构建了一个列线图来预测接受手术的IA期LUAD患者的OS。首次证明SEER数据库的新参数,包括DTI和收入水平,与生存相关。