
Commentary|Articles|April 22, 2026
Peers & Perspectives in Oncology
- June 2026
- Volume 4
- Issue 6
A New Statistical Framework for Bridging Pathologic Response and Survival in Breast Cancer
Author(s)Sabrina Serani
Fact checked by: Lajos Pusztai, MD, PhD, Afton Woodward
Bayesian modeling links residual cancer burden shifts to survival, helping neoadjuvant breast cancer trials and FDA approvals predict real benefit.
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For nearly 2 decades, oncologists have grappled with a deceptively simple paradox: while achieving a pathologic complete response (pCR) to neoadjuvant chemotherapy is consistently one of the strongest predictors of long-term survival at the individual patient level, improvements in pCR rates across clinical trial arms have not reliably translated into meaningful gains in event-free or overall survival.1
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