Breast Cancer Res. 2014 Apr 12;16(2):R38. doi: 10.1186/bcr3642.
INTRODUCTION: EndoPredict (EP) is an RNA-based multigene test that predicts the likelihood of distant recurrence in patients with estrogen receptor-positive (ER+), human epidermal growth factor receptor 2-negative (HER2-) breast cancer (BC) who are being treated with adjuvant endocrine therapy. Herein we report the prospective-retrospective clinical validation of EP in the node-positive, chemotherapy-treated, ER+/HER2- BC patients in the GEICAM 9906 trial. METHODS: The patients (N = 1,246) were treated either with six cycles of fluorouracil, epirubicin and cyclophosphamide (FEC) or with four cycles of FEC followed by eight weekly courses of paclitaxel (FEC-P), as well as with endocrine therapy if they had hormone receptor-positive disease. The patients were assigned to EP risk categories (low or high) according to prespecified cutoff levels. The primary endpoint in the clinical validation of EP was distant metastasis-free survival (MFS). Metastasis rates were estimated using the Kaplan-Meier method, and multivariate analysis was performed using Cox regression. RESULTS: The molecular EP score and the combined molecular and clinical EPclin score were successfully determined in 555 ER+/HER2- tumors from the 800 available samples in the GEICAM 9906 trial. On the basis of the EP, 25% of patients (n = 141) were classified as low risk. MFS was 93% in the low-risk group and 70% in the high-risk group (absolute risk reduction = 23%, hazard ratio (HR) = 4.8, 95% confidence interval (CI) = 2.5 to 9.5; P < 0.0001). Multivariate analysis showed that, in this ER+/HER2- cohort, EP results are an independent prognostic parameter after adjustment for age, grade, lymph node status, tumor size, treatment arm, ER and progesterone receptor (PR) status and proliferation index (Ki67). Using the predefined EPclin score, 13% of patients (n = 74) were assigned to the low-risk group, who had excellent outcomes and no distant recurrence events (absolute risk reduction vs high-risk group = 28%; P < 0.0001). Furthermore, EP was prognostic in premenopausal patients (HR = 6.7, 95% CI = 2.4 to 18.3; P = 0.0002) and postmenopausal patients (HR = 3.3, 95% CI = 1.3 to 8.5; P = 0.0109). There were no statistically significant differences in MFS between treatment arms (FEC vs FEC-P) in either the high- or low-risk groups. The interaction test results between the chemotherapy arm and the EP score were not significant. CONCLUSIONS: EP is an independent prognostic parameter in node-positive, ER+/HER2- BC patients treated with adjuvant chemotherapy followed by hormone therapy. EP did not predict a greater efficacy of FEC-P compared to FEC alone.
简介:EndoPredict(EP)是一种基于 RNA 的多基因检测,用于预测接受辅助内分泌治疗的雌激素受体阳性(ER+)、人表皮生长因子受体 2 阴性(HER2-)乳腺癌(BC)患者远处复发的可能性。在此,我们报告了在 GEICAM 9906 试验中,对接受辅助内分泌治疗的淋巴结阳性、化疗治疗的 ER+/HER2-BC 患者的前瞻性-回顾性 EP 临床验证。
方法:患者(N=1246)接受六周期氟尿嘧啶、表柔比星和环磷酰胺(FEC)或四周期 FEC 加八周期每周紫杉醇(FEC-P)治疗,且激素受体阳性疾病患者接受内分泌治疗。根据预设截断值,将患者分配到 EP 风险类别(低或高)。EP 的临床验证的主要终点是无远处转移生存(MFS)。使用 Kaplan-Meier 法估计转移率,使用 Cox 回归进行多变量分析。
结果:成功确定了来自 GEICAM 9906 试验中 800 个可用样本中的 555 个 ER+/HER2-肿瘤的分子 EP 评分和联合分子和临床 EPclin 评分。根据 EP,25%的患者(n=141)被归类为低风险。低风险组的 MFS 为 93%,高风险组为 70%(绝对风险降低=23%,风险比(HR)=4.8,95%置信区间(CI)=2.5 至 9.5;P<0.0001)。多变量分析显示,在这个 ER+/HER2-队列中,EP 结果是调整年龄、分级、淋巴结状态、肿瘤大小、治疗臂、ER 和孕激素受体(PR)状态和增殖指数(Ki67)后独立的预后参数。使用预设的 EPclin 评分,13%的患者(n=74)被分配到低风险组,他们的结局极好,没有远处复发事件(与高风险组相比,绝对风险降低=28%;P<0.0001)。此外,EP 在绝经前患者(HR=6.7,95%CI=2.4 至 18.3;P=0.0002)和绝经后患者(HR=3.3,95%CI=1.3 至 8.5;P=0.0109)中也是预后因素。在高风险或低风险组中,FEC 与 FEC-P 治疗臂之间的 MFS 无统计学差异。化疗臂和 EP 评分之间的交互检验结果无统计学意义。
结论:EP 是接受辅助化疗后加用激素治疗的淋巴结阳性、ER+/HER2-BC 患者的独立预后参数。EP 并未预测 FEC-P 比 FEC 更有效。
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