Department of Radiology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts.
Cancer. 2013 Nov 1;119(21):3761-8. doi: 10.1002/cncr.28290. Epub 2013 Aug 6.
The objective of this study was to define the volumetric tumor growth rate in patients who had advanced nonsmall cell lung cancer (NSCLC) with sensitizing epidermal growth factor receptor (EGFR) mutations and had initially received treatment with EGFR-tyrosine kinase inhibitor (TKI) therapy beyond progression.
The study included 58 patients with advanced NSCLC who had sensitizing EGFR mutations treated with first-line gefitinib or erlotinib, had baseline computed tomography (CT) scans available that revealed a measurable lung lesion, had at least 2 follow-up CT scans during TKI therapy, and had experienced volumetric tumor growth. The tumor volume (in mm3) of the dominant lung lesion was measured on baseline and follow-up CT scans during therapy. In total, 405 volume measurements were analyzed in a linear mixed-effects model, fitting time as a random effect, to define the growth rate of the logarithm of tumor volume (log(e)V).
A linear mixed-effects model was fitted to predict the growth of log(e)V, adjusting for time in months from baseline. Log(e)V was estimated as a function of time in months among patients whose tumors started growing after the nadir: log(e)V = 0.12time + 7.68. In this formula, the regression coefficient for time, 0.12/month, represents the growth rate of log(e)V (standard error, 0.015/month; P < .001). When adjusted for baseline volume, log(e)V0, the growth rate was also 0.12/month (standard error, 0.015/month; P < .001; log(e)V = 0.12months + 0.72 log(e)V0 + 0.61).
Tumor volume models defined volumetric tumor growth after the nadir in patients with EGFR-mutant, advanced NSCLC who were receiving TKI, providing a reference value for the tumor growth rate in patients who progress after the nadir on TKI therapy. The results can be studied further in additional cohorts to develop practical criteria to help identify patients who are slowly progressing and can safely remain on EGFR-TKIs.
本研究的目的是定义那些具有敏感表皮生长因子受体(EGFR)突变的晚期非小细胞肺癌(NSCLC)患者的容积肿瘤生长率,这些患者在进展后最初接受了 EGFR 酪氨酸激酶抑制剂(TKI)治疗。
本研究纳入了 58 例接受一线吉非替尼或厄洛替尼治疗的具有敏感 EGFR 突变的晚期 NSCLC 患者,这些患者基线时有可测量的肺病变 CT 扫描,在 TKI 治疗期间至少有 2 次随访 CT 扫描,并经历了容积肿瘤生长。在治疗过程中,通过基线和随访 CT 扫描测量优势肺病变的肿瘤体积(mm3)。总共对 405 个体积测量值进行了线性混合效应模型分析,拟合时间作为随机效应,以定义肿瘤体积对数(log(e)V)的生长率。
针对从基线开始出现肿瘤生长的患者,构建了一个线性混合效应模型来预测 log(e)V 的生长,模型中对时间进行了调整。log(e)V 被估计为时间的函数,其中时间以从基线开始的月数表示:log(e)V = 0.12time + 7.68。在此公式中,时间的回归系数为 0.12/月,代表 log(e)V 的生长率(标准误差,0.015/月;P <.001)。当调整基线体积 log(e)V0 时,生长率也是 0.12/月(标准误差,0.015/月;P <.001;log(e)V = 0.12months + 0.72 log(e)V0 + 0.61)。
本研究在接受 TKI 治疗的具有 EGFR 突变的晚期 NSCLC 患者中,定义了肿瘤在最低点后的体积肿瘤生长模型,为 TKI 治疗后最低点进展的患者的肿瘤生长率提供了参考值。可以在其他队列中进一步研究这些结果,以制定实用的标准,帮助识别那些肿瘤缓慢进展且能安全继续使用 EGFR-TKI 的患者。