Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia.
National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.
JAMA Oncol. 2018 Oct 1;4(10):1335-1343. doi: 10.1001/jamaoncol.2018.1778.
A range of somatic driver alterations has been described in estrogen receptor-positive, HER2-negative (ER+/HER2-) early breast cancer (BC); however, the clinical relevance is unknown.
To investigate associations of driver alterations with prognosis and the role of PIK3CA mutations in prediction of benefit associated with endocrine therapy in postmenopausal patients with ER+/HER2- early BC treated with tamoxifen or letrozole.
DESIGN, SETTING, AND PARTICIPANTS: The Breast International Group (BIG) 1-98 trial randomized 8010 postmenopausal patients with hormone receptor-positive, operable, invasive BC to monotherapy with letrozole, tamoxifen, or a sequential strategy for 5 years. Driver alterations were characterized using next-generation sequencing in primary tumors from a subset of 764 patients from 7329 eligible patients with ER+/HER2- BC, with 841 distant recurrences after a median of 8.1 years of follow-up. To correct for the oversampling of distant recurrences, weighted analysis methods were used. This analysis was conducted from April 4, 2016, to November 30, 2016.
The prevalence of driver alterations, associations with clinicopathologic factors, distant recurrence-free interval, and treatment interactions were analyzed. Multivariable analyses were performed to adjust for clinicopathologic factors.
Of 764 samples, 538 (70.4%), including 140 distant recurrence events, were successfully sequenced. Nineteen driver alterations were observed with 5% or greater frequency, with a mean of 4 alterations (range, 0-15) per tumor. PIK3CA mutations were the most common (49%) and were significantly associated with reduction in the risk for distant recurrence (hazard ratio [HR], 0.57; 95% CI, 0.38-0.85; P = .006). TP53 mutations (HR, 1.92; 95% CI, 1.21-3.04; P = .006), amplifications on 11q13 (HR, 2.14; 95% CI, 1.36-3.37; P = .001) and 8p11 (HR, 3.02; 95% CI, 1.88-4.84; P < .001), and increasing number of driver alterations (HR per additional alteration, 1.18; 95% CI, 1.11-1.25; P < .001) were associated with significantly greater risk. Amplifications on 11q13 and 8p11 remained significant predictors in multivariable analysis, but not PIK3CA and TP53 mutations. Patients with tumors harboring kinase or helical domain PIK3CA mutations derived significantly greater benefit from letrozole over tamoxifen than patients whose tumors did not (P interaction = .002).
In ER+/HER2- postmenopausal, early-stage BC, amplifications on 11q13 and 8p11 were significantly associated with increased risk for distant recurrence and PIK3CA mutations were predictive of greater magnitude of benefit from letrozole. With these findings, DNA-based classification may aid adjuvant treatment decision making in this setting.
ClinicalTrials.gov Identifier: NCT00004205.
已经描述了一系列雌激素受体阳性、HER2 阴性(ER+/HER2-)早期乳腺癌(BC)的体细胞驱动改变;然而,其临床意义尚不清楚。
研究驱动改变与预后的关系,以及 PIK3CA 突变在预测绝经后 ER+/HER2-早期 BC 患者接受他莫昔芬或来曲唑内分泌治疗获益中的作用。
设计、地点和参与者:BIG 1-98 试验将 8010 名绝经后激素受体阳性、可手术、浸润性 BC 患者随机分为来曲唑、他莫昔芬或 5 年序贯治疗。在来自 7329 名符合条件的 ER+/HER2-BC 患者的 764 名患者中的一部分患者的原发性肿瘤中使用下一代测序来描述驱动改变,中位随访 8.1 年后有 841 例远处复发。为了纠正远处复发的过度抽样,使用加权分析方法。这项分析是从 2016 年 4 月 4 日至 2016 年 11 月 30 日进行的。
分析了驱动改变的发生率、与临床病理因素的关系、远处无复发生存期和治疗相互作用。进行多变量分析以调整临床病理因素。
在 764 个样本中,包括 140 个远处复发事件,有 538 个(70.4%)成功测序。观察到 19 种驱动改变,发生率为 5%或更高,每个肿瘤的平均改变数为 4 种(范围为 0-15)。PIK3CA 突变最常见(49%),与远处复发风险降低显著相关(风险比 [HR],0.57;95%CI,0.38-0.85;P=0.006)。TP53 突变(HR,1.92;95%CI,1.21-3.04;P=0.006)、11q13 扩增(HR,2.14;95%CI,1.36-3.37;P=0.001)和 8p11 扩增(HR,3.02;95%CI,1.88-4.84;P<0.001)以及驱动改变的数量增加(每增加一个改变的 HR,1.18;95%CI,1.11-1.25;P<0.001)与风险显著增加相关。11q13 和 8p11 的扩增在多变量分析中仍然是显著的预测因素,但 PIK3CA 和 TP53 突变不是。与肿瘤未携带激酶或螺旋结构域 PIK3CA 突变的患者相比,携带这些突变的患者接受来曲唑治疗的获益显著更大(P 交互=0.002)。
在绝经后、早期 ER+/HER2- 的 BC 中,11q13 和 8p11 的扩增与远处复发风险的增加显著相关,而 PIK3CA 突变预测了来曲唑治疗获益的幅度更大。有了这些发现,基于 DNA 的分类可能有助于在这种情况下辅助治疗决策。
ClinicalTrials.gov 标识符:NCT00004205。