Department of Radiation Oncology, London Health Sciences Centre, London, Ontario, Canada.
Department of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands.
Int J Radiat Oncol Biol Phys. 2016 Mar 1;94(3):612-20. doi: 10.1016/j.ijrobp.2015.11.030. Epub 2015 Nov 23.
Concurrent chemoradiation therapy (con-CRT) is recommended for fit patients with locally advanced non-small cell lung cancer (LA-NSCLC) but is associated with toxicity, and observed survival continues to be limited. Identifying factors associated with early mortality could improve patient selection and identify strategies to improve prognosis.
Analysis of a multi-institutional LA-NSCLC database consisting of 1245 patients treated with con-CRT in 13 institutions was performed to identify factors predictive of 180-day survival. Recursive partitioning analysis (RPA) was performed to identify prognostic groups for 180-day survival. Multivariate logistic regression analysis was used to create a clinical nomogram predicting 180-day survival based on important predictors from RPA.
Median follow-up was 43.5 months (95% confidence interval [CI]: 40.3-48.8) and 127 patients (10%) died within 180 days of treatment. Median, 180-day, and 1- to 5-year (by yearly increments) actuarial survival rates were 20.9 months, 90%, 71%, 45%, 32%, 27%, and 22% respectively. Multivariate analysis adjusted by region identified gross tumor volume (GTV) (odds ratio [OR] ≥100 cm(3): 2.61; 95% CI: 1.10-6.20; P=.029) and pulmonary function (forced expiratory volume in 1 second [FEV1], defined as the ratio of FEV1 to forced vital capacity [FVC]) (OR <80%: 2.53; 95% CI: 1.09-5.88; P=.030) as significant predictors of 180-day survival. RPA resulted in a 2-class risk stratification system: low-risk (GTV <100 cm(3) or GTV ≥100 cm(3) and FEV1 ≥80%) and high-risk (GTV ≥100 cm(3) and FEV1 <80%). The 180-day survival rates were 93% for low risk and 79% for high risk, with an OR of 4.43 (95% CI: 2.07-9.51; P<.001), adjusted by region. A clinical nomogram predictive of 180-day survival, incorporating FEV1, GTV, N stage, and maximum esophagus dose yielded favorable calibration (R(2) = 0.947).
This analysis identified several risk factors associated with early mortality and suggests that future research in the optimization of pretreatment pulmonary function and/or functional lung avoidance treatment may alter the therapeutic ratio in this patient population.
对于适合的局部晚期非小细胞肺癌(LA-NSCLC)患者,推荐同步放化疗(con-CRT),但该方法与毒性相关,观察到的生存时间仍然有限。确定与早期死亡率相关的因素可以改善患者选择,并确定改善预后的策略。
对 13 个机构的 1245 例接受 con-CRT 治疗的 LA-NSCLC 患者的多机构数据库进行分析,以确定预测 180 天生存率的因素。进行递归分区分析(RPA),以确定 180 天生存率的预后组。使用多元逻辑回归分析基于 RPA 中的重要预测因素创建预测 180 天生存率的临床列线图。
中位随访时间为 43.5 个月(95%置信区间[CI]:40.3-48.8),127 例(10%)患者在治疗后 180 天内死亡。中位、180 天和 1-5 年(每年递增)的实际生存率分别为 20.9 个月、90%、71%、45%、32%、27%和 22%。通过地区调整的多变量分析确定了大体肿瘤体积(GTV)(GTV≥100cm3:2.61;95%CI:1.10-6.20;P=.029)和肺功能(1 秒用力呼气量[FEV1],定义为 FEV1 与用力肺活量[FVC]的比值)(FEV1<80%:2.53;95%CI:1.09-5.88;P=.030)是 180 天生存率的显著预测因素。RPA 产生了 2 级风险分层系统:低危(GTV<100cm3 或 GTV≥100cm3 且 FEV1≥80%)和高危(GTV≥100cm3 且 FEV1<80%)。低危组的 180 天生存率为 93%,高危组为 79%,OR 为 4.43(95%CI:2.07-9.51;P<.001),经地区调整。一个可预测 180 天生存率的临床列线图,纳入 FEV1、GTV、N 分期和最大食管剂量,具有良好的校准度(R2=0.947)。
这项分析确定了一些与早期死亡率相关的风险因素,并表明未来在优化治疗前肺功能和/或功能性肺回避治疗方面的研究可能会改变该患者群体的治疗比例。