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MammaPrint预测HR+HER2-早期乳腺癌患者化疗获益:FLEX注册研究的真实世界数据。

MammaPrint predicts chemotherapy benefit in HR+HER2- early breast cancer: FLEX Registry real-world data.

作者信息

Brufsky Adam M, Hoskins Kent F, Conter Henry J, Kelemen Pond, Habibi Mehran, Samian Laila, Rahman Rakshanda L, Lee Laura, Dias Eduardo C, Hampton Regina, Sieling Beth A, Osborne Cynthia R, Brown Eric, Elayoubi Jailan A, Sharma Priyanka, Ramadurai Jayanthi, Matt-Amaral Laurie, Santillan Alfredo A, Davis Sasha, Albaneze Philip, Ramaswamy Harshini, Chmielewski-Stivers Nicole, Menicucci Andrea, Audeh William, Whitworth Pat, Johnson Nathalie, O'Shaughnessy Joyce

机构信息

Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, United States.

College of Medicine, University of Illinois Cancer Center, Chicago, IL, United States.

出版信息

JNCI Cancer Spectr. 2025 Sep 1;9(5). doi: 10.1093/jncics/pkaf079.

Abstract

BACKGROUND

Gene expression assays help personalize adjuvant chemotherapy decisions for hormone receptor-positive, HER2-negative (HR+HER2-) early breast cancer (EBC). The 70-gene risk of distant-recurrence signature, MammaPrint, demonstrated clinical utility in guiding chemotherapy de-escalation in genomically low risk patients in the MINDACT trial. This study evaluates MammaPrint as a continuous predictor of chemotherapy benefit in HR+HER2- EBC using real-world data (RWD) from the FLEX Registry.

METHODS

The study evaluated 1002 patients treated with endocrine therapy (ET) only or ET with chemotherapy (ET+CT) enrolled in FLEX (NCT03053193) with 5-year median follow-up. Propensity-score matching balanced treatment groups by menopausal status, T-stage, and nodal status. The primary endpoint was distant recurrence-free interval (DRFI). Regression and Cox proportional hazards models assessed chemotherapy benefit across MammaPrint Index (MPI) risk.

RESULTS

Most patients were postmenopausal (70.1%), node-negative (70.0%), and had grade 2 tumors (51.2%). The regression models showed that MPI strongly predicted 5-year DRFI in ET only (R2 = 0.99, P < .001) and ET + CT (R2 = 0.90, P < .001) groups, corresponding to an average absolute chemotherapy benefit of 5.6% in High 1 and 10.9% in High 2. Minimal improvement in DRFI with chemotherapy was observed for Low (1.7%) and UltraLow (<1.0%) risk groups. A multivariate Cox model with an MPI-by-treatment interaction term demonstrated that increasing MPI risk was associated with greater chemotherapy benefit on DRFI (HR = 0.15, P = .047). Chemotherapy benefit was significantly associated with premenopausal status, but not age, T-stage, nodal status, or grade.

CONCLUSIONS

These RWD from the FLEX Registry demonstrate that MPI is predictive of both DRFI prognosis and chemotherapy benefit in HR+HER2- EBC. (NCT03053193).

摘要

背景

基因表达检测有助于对激素受体阳性、人表皮生长因子受体2阴性(HR+HER2-)早期乳腺癌(EBC)的辅助化疗决策进行个体化。70基因远处复发风险特征检测MammaPrint在MINDACT试验中指导基因组低风险患者降低化疗强度方面显示出临床实用性。本研究使用来自FLEX注册研究的真实世界数据(RWD)评估MammaPrint作为HR+HER2-EBC化疗获益的连续预测指标。

方法

该研究评估了FLEX(NCT03053193)中仅接受内分泌治疗(ET)或接受内分泌治疗联合化疗(ET+CT)的1002例患者,中位随访时间为5年。倾向评分匹配按绝经状态、T分期和淋巴结状态平衡治疗组。主要终点是无远处复发生存期(DRFI)。回归模型和Cox比例风险模型评估了MammaPrint指数(MPI)风险范围内的化疗获益情况。

结果

大多数患者为绝经后(70.1%)淋巴结阴性(70.0%),肿瘤分级为2级(51.2%)。回归模型显示,MPI在仅接受ET组(R2 = 0.99,P <.001)和ET + CT组(R2 = 0.90,P <.001)中均能强烈预测5年DRFI,在高风险1组中化疗的平均绝对获益为5.6%,在高风险2组中为10.9%。低风险(1.7%)和超低风险(<1.0%)组化疗后DRFI改善极小。带有MPI与治疗交互项的多变量Cox模型显示,MPI风险增加与化疗对DRFI的更大获益相关(风险比=0.15,P = 0.047)。化疗获益与绝经前状态显著相关,但与年龄、T分期、淋巴结状态或分级无关。

结论

来自FLEX注册研究的这些RWD表明,MPI可预测HR+HER2-EBC的DRFI预后和化疗获益。(NCT03053193)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e52/12413225/3c6c18c9d12a/pkaf079f1.jpg

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