Owkin Inc, New York, USA.
Centre George François Leclerc, Dijon, France.
J Natl Cancer Inst. 2023 Sep 7;115(9):1099-1108. doi: 10.1093/jnci/djad109.
Many patients receiving adjuvant endocrine therapy (ET) for breast cancer experience side effects and reduced quality of life (QoL) and discontinue ET. We sought to describe these issues and develop a prediction model of early discontinuation of ET.
Among patients with hormone receptor-positive and HER2-negative stage I-III breast cancer of the Cancer Toxicities cohort (NCT01993498) who were prescribed adjuvant ET between 2012 and 2017, upon stratification by menopausal status, we evaluated adjuvant ET patterns including treatment change and patient-reported discontinuation and ET-associated toxicities and impact on QoL. Independent variables included clinical and demographic features, toxicities, and patient-reported outcomes. A machine-learning model to predict time to early discontinuation was trained and evaluated on a held-out validation set.
Patient-reported discontinuation rate of the first prescribed ET at 4 years was 30% and 35% in 4122 postmenopausal and 2087 premenopausal patients, respectively. Switching to a new ET was associated with higher symptom burden, poorer QoL, and higher discontinuation rate. Early discontinuation rate of adjuvant ET before treatment completion was 13% in postmenopausal and 15% in premenopausal patients. The early discontinuation model obtained a C index of 0.62 in the held-out validation set. Many aspects of QoL, most importantly fatigue and insomnia (European Organization for Research and Treatment of Cancer QoL questionnaire 30), were associated with early discontinuation.
Tolerability and adherence to ET remains a challenge for patients who switch to a second ET. An early discontinuation model using patient-reported outcomes identifies patients likely to discontinue their adjuvant ET. Improved management of toxicities and novel more tolerable adjuvant ETs are needed for maintaining patients on treatment.
许多接受乳腺癌辅助内分泌治疗(ET)的患者出现副作用,生活质量(QoL)下降,并停止 ET。我们旨在描述这些问题,并建立 ET 早期停药的预测模型。
在 2012 年至 2017 年期间接受激素受体阳性和 HER2 阴性 I-III 期乳腺癌辅助 ET 治疗的癌症毒性队列(NCT01993498)患者中,根据绝经状态分层,我们评估了包括治疗改变和患者报告的停药以及 ET 相关毒性和对 QoL 的影响在内的辅助 ET 模式。独立变量包括临床和人口统计学特征、毒性和患者报告的结果。在保留的验证集中训练和评估了一种用于预测早期停药时间的机器学习模型。
在 4122 例绝经后和 2087 例绝经前患者中,4 年时首次规定 ET 的患者报告停药率分别为 30%和 35%。改用新的 ET 与更高的症状负担、更差的 QoL 和更高的停药率相关。在完成治疗之前,辅助 ET 的早期停药率在绝经后患者中为 13%,在绝经前患者中为 15%。早期停药模型在保留的验证集中获得了 0.62 的 C 指数。QoL 的许多方面,尤其是疲劳和失眠(欧洲癌症研究和治疗组织 QoL 问卷 30),与早期停药相关。
对于改用第二种 ET 的患者,ET 的耐受性和依从性仍然是一个挑战。使用患者报告的结果的早期停药模型可识别可能停止辅助 ET 的患者。需要更好地管理毒性和新型更耐受的辅助 ET,以维持患者的治疗。