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Abstract
Objective: To analyze the predict values of pathologic complete response (pCR) rates for patient outcome according to breast cancer (BC) molecular subtypes. Methods: Four hundred and sixteen patients with confirmed BC who received neoadjuvant chemotherapy (NCT) in The Affiliated Hospital of Military Medical Science Academy of the PLA were enrolled.The clinical and pathological characteristics of patients were collected. The primary endpoint was pCR rate and the secondary endpoint was disease free survival (DFS). We analyzed the predict values of pCR rate for patient outcome, and the predict factors for DFS by univariate and multivariate Analysis. Results: A total of 416 BC patients confirmed by pathology were enrolled and received treatment and assessment in this study. The overall pCR rate was 23.1% (96/416). The pCR rate was 6.9% (14/204) in patients of HR+ /HER2- Subtype, 41.5% (27/65) in HR-/HER2+ Subtype, 30.9% (17/55) in HR+ /HER2+ Subtype, and 41.1% (37/91) in HR-/HER2- Subtype. The correlation of the pathological status and the patient outcome was analyzed in all patients. Compared with no pCR group, pCR group had significant higher DFS rates. In HER2+ Subtype and HR-/HER2- Subtype, DFS rates of patients who achieved pCR was higher than that of who didn't achieved pCR. In HR+ /HER2- Subtype, DFS rates of patients who achieved pCR was higher than that of who didn't achievced pCR, but without statistics difference. The Cox proportional hazards regression analysis revealed that ER status, T stage, pCR affected the patient outcome of BC. Conclusion: So far, pCR was an established prognostic factor: reaching a pCR could predicte improved survival in HER2-enriched BC and triple-negative breast cancer (TNBC) subgroup, while data remain controversial for the luminal subtypes. Our results do not support the use of pCR as a surrogate end point of treatment efficacy in unselected patients with BC submitted to neoadjuvant systemic therapy.
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