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新辅助化疗后基于临床-分子预测因子的 luminal 型乳腺癌风险评估。

Risk Assessment after Neoadjuvant Chemotherapy in Luminal Breast Cancer Using a Clinicomolecular Predictor.

机构信息

German Breast Group, Neu-Isenburg, Germany.

Department of Gynecology, University Hospital, Ulm, Germany.

出版信息

Clin Cancer Res. 2018 Jul 15;24(14):3358-3365. doi: 10.1158/1078-0432.CCR-17-2947. Epub 2018 Apr 4.

DOI:10.1158/1078-0432.CCR-17-2947
PMID:29618617
Abstract

This study aimed to evaluate a modified EPclin test (mEPclin), a combination of EndoPredict (EP) score, post-neoadjuvant pathologic tumor size and nodal status, for predicting the risk of distance recurrence after neoadjuvant chemotherapy (NACT) in patients with residual estrogen receptor (ER)-positive/HER2-negative breast cancer. We also compared the prognostic power of the mEPclin with that of the CPS-EG score. A total of 428 formalin-fixed, paraffin-embedded tumor samples from GeparTrio and GeparQuattro studies were evaluated for mRNA expression of eight cancer-related and three reference genes. The mEPclin score was computed using a modified algorithm and predefined cut-off values were used to classify each patient at low or high risk. Primary endpoint was disease-free survival (DFS). A higher continuous mEPclin score was significantly associated with increased risk of relapse [HR, 2.16; 95% confidence interval (CI), 1.86-2.51; < 0.001] and death (HR, 2.28; 95% CI, 1.90-2.75; < 0.001). Similarly, patients classified at high risk by dichotomous mEPclin showed significantly poorer DFS and overall survival compared with those at low risk. In contrast with CPS-EG, the mEPclin remained significantly prognostic for DFS in multivariate analysis (HR, 2.13; 95% CI, 1.73-2.63; < 0.001). Combining CPS-EG and other clinicopathological variables with mEPclin yielded a significant improvement of the prognostic power for DFS versus without mEPclin (c-indices: 0.748 vs. 0.660; < 0.001). The mEPclin score independently predicted the risk of distance recurrence and provided additional prognostic information to the CPS-EG score to assess more accurately the prognosis after NACT in the luminal non-pCR patient population. Therefore, this approach can be used to select patients for additional post-neoadjuvant therapies. .

摘要

本研究旨在评估改良的 EPclin 试验(mEPclin),即 EndoPredict(EP)评分、新辅助化疗后病理肿瘤大小和淋巴结状态的组合,用于预测残留雌激素受体(ER)阳性/HER2 阴性乳腺癌患者新辅助化疗(NACT)后远处复发的风险。我们还比较了 mEPclin 与 CPS-EG 评分的预后能力。对 GeparTrio 和 GeparQuattro 研究的 428 例福尔马林固定、石蜡包埋的肿瘤样本进行了 8 种癌症相关和 3 种参考基因的 mRNA 表达评估。使用改良的算法计算 mEPclin 评分,并使用预设的截断值将每个患者分为低风险或高风险。主要终点是无病生存期(DFS)。较高的连续 mEPclin 评分与复发风险增加显著相关[HR,2.16;95%置信区间(CI),1.86-2.51;<0.001]和死亡(HR,2.28;95% CI,1.90-2.75;<0.001)。同样,通过二分类 mEPclin 分类为高风险的患者与低风险患者相比,DFS 和总生存期明显较差。与 CPS-EG 相比,mEPclin 在多变量分析中仍然对 DFS 具有显著的预后意义(HR,2.13;95% CI,1.73-2.63;<0.001)。将 CPS-EG 和其他临床病理变量与 mEPclin 相结合,与不包括 mEPclin 相比,DFS 的预后能力显著提高(c 指数:0.748 与 0.660;<0.001)。mEPclin 评分独立预测远处复发的风险,并为 CPS-EG 评分提供了额外的预后信息,以更准确地评估 luminal 非 pCR 患者人群 NACT 后的预后。因此,这种方法可用于选择接受新辅助后治疗的患者。

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