Medical Thoracic Oncology Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy.
Thorac Cancer. 2022 Dec;13(24):3486-3495. doi: 10.1111/1759-7714.14712. Epub 2022 Nov 5.
Potential relationships with the prognosis of patients with extensive-stage non-small cell lung cancer (ES-SCLC) have been investigated without valid results.
A retrospective analysis of real-world data of consecutive patients with ES-SCLC admitted to our Medical Thoracic Oncology Unit was carried out from 2010 to 2020, focusing on identification of prognostic factors. Kaplan-Meier analysis was used to represent progression-free survival (PFS) and overall survival (OS). Univariable and multivariable Cox models were used to investigate prognostic factors.
The analysis included 244 patients. The median OS was 8 months (95% confidence interval [CI]: 8-10) and the median PFS was 5 months (95% CI: 5-6). The univariable analysis showed that factors associated with shorter OS were older age (p = 0.047), TNM stage 4 versus 3 (p < 0.001), Eastern Cooperative Oncology Group (ECOG) performance status (PS) 1 and 2 versus 0 (p < 0.001), and >2 metastatic sites (p = 0.004). Mediastinal radiotherapy (RT) (p < 0.001), >1 irradiated site (p = 0.026), 3 and 4 chemotherapy (CT) lines versus 1 (p = 0.044 and 0.001, respectively), prophylactic cranial irradiation (PCI) (p < 0.001), and surgery (p = 0.001) correlated with longer OS. The multivariable analysis revealed statistically significant associations for TNM, ECOG PS 2 versus 0, number of CT lines, PCI, and surgery. A total of 23 patients (9.4%) survived ≥24 months, 39% of whom had received four CT lines and 48% had mediastinal RT.
Our data suggest that tumor burden, PS, and mediastinal RT strongly correlate with outcome. With the addition of immunotherapy to CT, the identification of new biomarkers as predictive factors is urgently required.
已经研究了广泛期非小细胞肺癌(ES-SCLC)患者的预后与这些因素的潜在关系,但没有得出有效的结果。
对 2010 年至 2020 年期间我院胸内科收治的连续 ES-SCLC 患者的真实世界数据进行回顾性分析,重点确定预后因素。采用 Kaplan-Meier 分析表示无进展生存期(PFS)和总生存期(OS)。采用单变量和多变量 Cox 模型探讨预后因素。
该分析纳入 244 例患者。中位 OS 为 8 个月(95%置信区间[CI]:8-10),中位 PFS 为 5 个月(95%CI:5-6)。单变量分析显示,与 OS 更短相关的因素包括年龄较大(p=0.047)、TNM 分期为 4 期而非 3 期(p<0.001)、东部合作肿瘤组(ECOG)表现状态(PS)为 1 或 2 而非 0(p<0.001)、以及转移灶数超过 2 个(p=0.004)。纵隔放疗(RT)(p<0.001)、照射部位超过 1 个(p=0.026)、3 线和 4 线化疗(CT)与 1 线化疗(p=0.044 和 0.001)、预防性颅脑照射(PCI)(p<0.001)和手术(p=0.001)与 OS 更长相关。多变量分析显示,TNM、ECOG PS 2 与 0、CT 线数、PCI 和手术均具有统计学显著相关性。共有 23 例(9.4%)患者存活时间≥24 个月,其中 39%接受了 4 线 CT 治疗,48%接受了纵隔 RT。
我们的数据表明,肿瘤负荷、PS 和纵隔 RT 与预后密切相关。随着 CT 中免疫治疗的加入,迫切需要确定新的作为预测因子的生物标志物。