On-treatment core needle biopsy identifies early responders for axillary surgery de-escalation: results from a prospective cohort
- Journal
- British journal of cancer (Q1)
- Published
- 27 August 2026
- Study design
- Prospective / inception cohort
- Evidence level
- Level 2, Moderate (CEBM 2b)
- Authors
- Yifan Xie, Siyu Wu, Yan Huang, Ying Zhang, Miao Mo, Yajia Gu, et al.
- PMID
- 42661023
- DOI
- 10.1038/s41416-026-03583-y
Why clinicians should know about it
- Picked for Breast and Endocrine Surgery (paper of the day, 29 August 2026): On-treatment CNB predicts axillary pCR for de-escalation
Abstract
BACKGROUND: Increasing axillary pathologic complete response (pCR) rates after neoadjuvant chemotherapy (NACT) challenge the need for routine axillary surgery. On-treatment core needle biopsy (CNB) can assess early response, but its predictive and prognostic value for axillary surgery de-escalation remains unclear. METHODS: This prospective cohort included breast cancer patients receiving on-treatment CNB (after 2-4 cycles) of the primary tumor during NACT (2013-2021). Early responders were defined as having no residual disease of on-treatment CNB. These results were compared with axillary pCR and survival outcomes. RESULTS: The overall axillary pCR rate of 1693 patients was 54.3%. Of 500 early responders, 83.4% achieved axillary pCR. In clinically node-negative (cN0) patients, 98.0% (99/101) of those early responders presented with no nodal disease. While 79.7% of cN+ early responders achieved axillary pCR, this rate increased to 89.6% when combined with post-treatment MRI complete response (92.6% in cN1 and 90.0% in cN2 patients). Survival analysis revealed early responders with superior five-year overall and event-free survival with HR-negative tumors (p < 0.001). CONCLUSIONS: On-treatment CNB reliably identifies patients likely to achieve axillary pCR, offering an approach to guide de-escalation strategies and potentially identifying patients who may benefit from tailored systemic and surgical treatments.
Abstract as published, via PubMed.
For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.