Pusztai Lajos, Broglio Kristine, Andre Fabrice, Symmans W Fraser, Hess Kenneth R, Hortobagyi Gabriel N
Department of Breast Medical Oncology, The University of Texas M. D. Anderson Cancer Center, PO Box 301439, Houston, TX 77230-1439, USA.
J Clin Oncol. 2008 Oct 1;26(28):4679-83. doi: 10.1200/JCO.2008.17.2544. Epub 2008 Jul 28.
The majority of estrogen receptor (ER)-positive cancers are sensitive to endocrine therapy and may not derive much further benefit from chemotherapy, but a subset are potentially chemotherapy sensitive. Molecular diagnostic tests allow the identification of these various subsets with some accuracy. The goal of the current analysis was to examine how the proportion of cases in the various risk (recurrence score [RS]) categories of a commercially available multigene assay influences the power of randomized trials to show benefit from adjuvant chemotherapy.
We modeled 10-year disease-free survival (DFS) for hypothetical, two-arm clinical trials that randomly assigned patients with ER-positive breast cancer to endocrine therapy alone or endocrine therapy plus chemotherapy. We varied the proportion of patients in low, intermediate, and high RS categories and used DFS estimates for each risk group based on results from the Southwest Oncology Group 8814 study.
The probability of observing significant improvement in DFS as a result of chemotherapy decreases as the proportion of patients in the low RS category increases. For example, if a trial is designed with 80% power and the actual proportion of low RS patients accrued to the study increases from 40% to 60%, the power drops to 63%.
Variable accrual of low RS patients into different randomized adjuvant chemotherapy trials may partly explain contradictory results in the literature. Studies can be underpowered to detect improvement with chemotherapy as a result of inclusion of too many patients with low RS. Future adjuvant studies for ER-positive breast cancer will need to consider stratifying patients by molecular subtype.
大多数雌激素受体(ER)阳性癌症对内分泌治疗敏感,可能无法从化疗中获得更多益处,但有一部分可能对化疗敏感。分子诊断测试能够较为准确地识别这些不同的亚组。当前分析的目的是研究一种市售多基因检测的不同风险(复发评分[RS])类别中的病例比例如何影响随机试验显示辅助化疗获益的效能。
我们为假设的双臂临床试验建立了10年无病生存(DFS)模型,该试验将ER阳性乳腺癌患者随机分配至单纯内分泌治疗组或内分泌治疗加化疗组。我们改变低、中、高RS类别的患者比例,并根据西南肿瘤学组8814研究的结果使用每个风险组的DFS估计值。
随着低RS类别患者比例的增加,观察到化疗导致DFS显著改善的概率降低。例如,如果一项试验设计的效能为80%,而实际纳入研究的低RS患者比例从40%增加到60%,效能则降至63%。
不同随机辅助化疗试验中低RS患者的入组情况不同,可能部分解释了文献中的矛盾结果。由于纳入了过多低RS患者,研究可能缺乏足够的效能来检测化疗带来的改善。未来针对ER阳性乳腺癌的辅助研究需要考虑根据分子亚型对患者进行分层。