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A Phase 1 Study of Abemaciclib and Niraparib as Neoadjuvant Therapy in Hormone Receptor Positive (HR+) HER2 Negative (HER2-) Breast Cancer

ClinicalTrials.gov · COMPLETED, 2025

8 participants

Abstract

This phase I trial tests the side effects and best dose of abemaciclib and niraparib in treating patients with breast cancer that is positive for estrogen or progesterone receptors (hormone receptor positive \[HR+\]) and HER2 negative. Abemaciclib may stop the growth of tumor cells by blocking certain proteins called cyclin-dependent kinases, which are needed for cell growth. PARPs are proteins that help repair DNA mutations. PARP inhibitors, such as niraparib, can keep PARP from working so tumor cells can't repair themselves and grow. Giving abemaciclib and niraparib together before surgery may make the tumor smaller.

Conditions: Anatomic Stage I Breast Cancer AJCC v8, Anatomic Stage IA Breast Cancer AJCC v8, Anatomic Stage IB Breast Cancer AJCC v8, Anatomic Stage II Breast Cancer AJCC v8, Anatomic Stage IIA Breast Cancer AJCC v8, Anatomic Stage IIB Breast Cancer AJCC v8, Anatomic Stage IIIA Breast Cancer AJCC v8, HER2 Negative Breast Adenocarcinoma, Hormone Receptor Positive Breast Adenocarcinoma, Invasive Breast Carcinoma, Multifocal Breast Carcinoma, Prognostic Stage I Breast Cancer AJCC v8, Prognostic Stage IA Breast Cancer AJCC v8, Prognostic Stage IB Breast Cancer AJCC v8, Prognostic Stage II Breast Cancer AJCC v8, Prognostic Stage IIA Breast Cancer AJCC v8, Prognostic Stage IIB Breast Cancer AJCC v8, Prognostic Stage IIIA Breast Cancer AJCC v8, Prognostic Stage IIIB Breast Cancer AJCC v8, Unilateral Breast Carcinoma.

Primary outcome: Incidence of dose limiting…

How strong is the evidence?

Evidence Hub reads this as a clinical trial, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 8 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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