Medical Oncology Branch, National Cancer Institute, NIH, Bethesda, MD20892, USA.
Cancer J. 2009 Sep-Oct;15(5):441-7. doi: 10.1097/PPO.0b013e3181be1b90.
In solid tumors, where curative therapies still elude oncologists, novel paradigms are needed to assess the efficacy of new therapies and those already approved. We used radiologic measurements obtained in patients with metastatic renal cell carcinoma enrolled in a phase II study of the epothilone B analog, ixabepilone (Ixempra), to address this issue. Using a novel 2-phase mathematical equation, we used the radiologic measurements to estimate the concomitant rates of tumor regression and growth (regression and growth rate constants). Eighty-one patients were enrolled on the ixabepilone trial at the time of this analysis. Growth rate constants were determined using computed tomography measurements obtained exclusively while a patient was enrolled on study. The growth rate constants of renal cell carcinomas treated with ixabepilone were significantly reduced compared with those of tumors in patients who received placebo in a previous trial. Furthermore, a correlation with overall survival was found for both the growth rate constant and the initial tumor burden; and this correlation was even stronger when both the growth rate constant and the initial tumor burden were combined. The readily amenable mathematical model described herein has potential applications to many tumor types that can be assessed with imaging modalities. Because the growth rate constant seems to be a surrogate for survival, assessment could aid in the evaluation of relative efficacies of different therapies and perhaps in assessing the potential individual benefit of an experimental therapy.
在实体肿瘤中,尽管根治性疗法仍令肿瘤学家感到棘手,但仍需要新的范例来评估新疗法和已批准疗法的疗效。我们在转移性肾细胞癌患者中使用了在 II 期依泊苷 B 类似物伊沙匹隆(Ixempra)研究中获得的影像学测量结果,以解决这一问题。我们使用一种新的两阶段数学方程,利用影像学测量结果来估计肿瘤同时发生的退缩和生长速率(退缩和生长速率常数)。在进行这项分析时,共有 81 名患者参加了依沙匹隆试验。生长速率常数是通过仅在患者参加研究期间获得的 CT 测量值来确定的。与之前试验中接受安慰剂的患者相比,接受依沙匹隆治疗的肾细胞癌的生长速率常数显著降低。此外,生长速率常数和初始肿瘤负担与总生存期均存在相关性;当生长速率常数和初始肿瘤负担均结合时,相关性更强。本文描述的这种易于应用的数学模型可能适用于许多可以通过影像学手段评估的肿瘤类型。因为生长速率常数似乎是生存的替代指标,所以评估可能有助于评估不同疗法的相对疗效,并且可能有助于评估实验疗法的潜在个体获益。