The EndoPredict score predicts response to neoadjuvant chemotherapy and neoendocrine therapy in hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer patients from the ABCSG-34 trial.

BACKGROUND: Neoadjuvant chemotherapy (NaCT) and neoadjuvant endocrine therapy (NET) can reduce pre-operative tumour burden in patients with estrogen receptor (ER)-positive, human epidermal growth factor receptor 2 (HER2)-negative early-stage breast cancer. This prospective translational study assessed the ability of a 12-gene molecular score (MS; EndoPredict®) to predict response to NaCT or NET within the ABCSG-34 trial. PATIENTS AND METHODS: Hormone receptor (HR)-positive, HER2-negative samples from patients in the ABCSG-34 randomized phase II trial were selected and EndoPredict testing was performed to generate a 12-gene MS. ABCSG-34 patients were assigned to receive either NaCT or NET based on menopausal status, HR expression, grade and Ki67. Response was measured by residual cancer burden (RCB).
RESULTS: Patients selected for NaCT generally had high-risk disease by 12-gene MS (125/134), while slightly more patients treated with NET had low-risk disease (44/83). Low-risk NaCT-treated and high-risk NET-treated tumours responded poorly (NPV 100% [95% CI 66.4%-100%] and NPV 92.3% [95% CI 79.1%-98.4%], respectively]. The 12-gene MS significantly predicted treatment response for NaCT (AUC 0.736 [95% CI 0.63-0.84]) and NET (AUC 0.726 [95% CI 0.60-0.85]).
CONCLUSIONS: The 12-gene MS predicted RCB after treatment with neoadjuvant therapies for patients with HR-positive, HER2-negative early-stage breast cancer. Tumours with low MS were unlikely to benefit from NaCT, whereas a high MS predicted resistance to NET. This additional biologic information can aid personalized treatment selection in daily practice and builds a strong rationale to use EndoPredict in biomarker-driven studies in the neoadjuvant setting.

RCT Entities:   Population Interventions Outcomes