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Spatiotemporal Patterns of Loco-Regional Recurrence After Breast-Conserving Surgery

Authors :
Zhi-Ming Shao
Cai-Jin Lin
Rui Mao
Guangyu Liu
Fei-Lin Qu
Zhebin Liu
Jiong Wu
Genhong Di
Junjie Li
A-Yong Cao
Ke-Da Yu
Source :
Frontiers in Oncology, Frontiers in Oncology, Vol 11 (2021)
Publication Year :
2021

Abstract

BackgroundLoco-regional recurrences (LRR) following breast-conserving surgery (BCS) remain a heterogeneous class of disease that has significant variation in its biological behavior and prognosis.MethodsTo delineate the spatiotemporal patterns of LRR after BCS, we analyzed the data of 4325 patients treated with BCS from 2006 to 2016. Clinico-pathological and treatment specific factors were analyzed using the Cox proportional hazards model to identify factors predictive for LRR events. Recurrence patterns were scrutinized based on recurrence type and recurrence-free interval (RFI). Annual recurrence rates (ARR) were compared according to recurrence type and molecular subtype.ResultsWith a median follow-up of 66 months, 120 (2.8%) LRRs were recorded as the first site of failure. Age, pathologic stage, and molecular subtype were identified as predictors of LRR. The major recurrence type was ipsilateral breast tumor recurrence, which mainly (83.6%) occurred ≤5y post surgery. In the overall population, ARR curves showed that relapse peaked in the first 2.5 years. Patients with regional nodal recurrence, shorter RFI, and synchronous distant metastasis were associated with a poorer prognosis. HER2-positive disease had a higher rate of LRR events, more likely to have in-breast recurrence, and had an earlier relapse peak in the first 2 years after surgery.ConclusionsLRR risk following BCS is generally low in Chinese ethnicity. Different recurrence patterns after BCS were related to distinct clinical outcomes. Management of LRR should be largely individualized and tailored to the extent of disease, the molecular profile of the recurrence, and to baseline clinical variables.

Details

ISSN :
2234943X
Volume :
11
Database :
OpenAIRE
Journal :
Frontiers in oncology
Accession number :
edsair.doi.dedup.....eaf38852ef2ae91725582de6223ed098