Authors' Affiliations: Departments of Medical Oncology, Biostatistics and Epidemiology, Innovative Therapeutics and Early Drug Development, Radiology, and Radiotherapy; INSERM U981, University Paris Sud, Gustave Roussy, Villejuif, France; and Sage Bionetworks, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Clin Cancer Res. 2014 Jan 1;20(1):246-52. doi: 10.1158/1078-0432.CCR-13-2098. Epub 2013 Nov 15.
Response Evaluation Criteria in Solid Tumors (RECIST) evaluation does not take into account the pretreatment tumor kinetics and may provide incomplete information about experimental drug activity. Tumor growth rate (TGR) allows for a dynamic and quantitative assessment of the tumor kinetics. How TGR varies along the introduction of experimental therapeutics and is associated with outcome in phase I patients remains unknown.
Medical records from all patients (N = 253) prospectively treated in 20 phase I trials were analyzed. TGR was computed during the pretreatment period (reference) and the experimental period. Associations between TGR, standard prognostic scores [Royal Marsden Hospital (RMH) score], and outcome [progression-free survival (PFS) and overall survival (OS)] were computed (multivariate analysis).
We observed a reduction of TGR between the reference versus experimental periods (38% vs. 4.4%; P < 0.00001). Although most patients were classified as stable disease (65%) or progressive disease (25%) by RECIST at the first evaluation, 82% and 65% of them exhibited a decrease in TGR, respectively. In a multivariate analysis, only the decrease of TGR was associated with PFS (P = 0.004), whereas the RMH score was the only variable associated with OS (P = 0.0008). Only the investigated regimens delivered were associated with a decrease of TGR (P < 0.00001, multivariate analysis). Computing TGR profiles across different clinical trials reveals specific patterns of antitumor activity.
Exploring TGR in phase I patients is simple and provides clinically relevant information: (i) an early and subtle assessment of signs of antitumor activity; (ii) independent association with PFS; and (iii) it reveals drug-specific profiles, suggesting potential utility for guiding the further development of the investigational drugs.
实体瘤反应评价标准(RECIST)评估未考虑预处理肿瘤动力学,可能无法提供关于实验药物活性的完整信息。肿瘤生长率(TGR)可对肿瘤动力学进行动态和定量评估。在 I 期患者中,TGR 在实验治疗引入过程中的变化方式及其与结局的相关性尚不清楚。
分析了 20 项 I 期试验中前瞻性治疗的所有患者(N=253)的病历。在预处理期(参考期)和实验期计算 TGR。计算 TGR 与标准预后评分[皇家马斯登医院(RMH)评分]和结局[无进展生存期(PFS)和总生存期(OS)]之间的相关性(多变量分析)。
我们观察到参考期与实验期之间 TGR 降低(38%对 4.4%;P<0.00001)。尽管大多数患者在首次评估时按 RECIST 标准分类为稳定疾病(65%)或进展性疾病(25%),但其中 82%和 65%的患者 TGR 分别下降。在多变量分析中,只有 TGR 的降低与 PFS 相关(P=0.004),而 RMH 评分是唯一与 OS 相关的变量(P=0.0008)。只有所研究的方案与 TGR 的降低相关(P<0.00001,多变量分析)。跨不同临床试验计算 TGR 曲线揭示了特定的抗肿瘤活性模式。
在 I 期患者中探索 TGR 简单且提供临床相关信息:(i)对抗肿瘤活性的早期和微妙评估;(ii)与 PFS 独立相关;(iii)它揭示了药物特异性曲线,表明其可能对指导研究药物的进一步开发具有潜在效用。