Locoregional recurrence risk after neoadjuvant chemotherapy: a pooled analysis of nine prospective neoadjuvant breast cancer trials

Aim - This pooled analysis aimed to evaluate locoregional recurrence (LRR) rates of breast cancer (BC) after neoadjuvant chemotherapy (NACT) and to identify independent LRR predictors. - Methods - 10,075 women with primary BC from nine neoadjuvant trials were included. The primary outcome was the cu...

Full description

Saved in:
Bibliographic Details
Main Authors: Werutsky, Gustavo (Author) , Schneeweiss, Andreas (Author)
Format: Article (Journal)
Language:English
Published: 13 March 2020
In: European journal of cancer
Year: 2020, Volume: 130, Pages: 92-101
ISSN:1879-0852
DOI:10.1016/j.ejca.2020.02.015
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.ejca.2020.02.015
Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S0959804920300691
Get full text
Author Notes:Gustavo Werutsky, Michael Untch, Claus Hanusch, Peter A. Fasching, Jens-Uwe Blohmer, Sabine Seiler, Carsten Denkert, Hans Tesch, Christian Jackisch, Bernd Gerber, Andreas Schneeweiss, Theresa Link, David Krug, Jens Huober, Kerstin Rhiem, Thorsten Kühn, Valentina Vladimirova, Valentina Nekljudova, Sibylle Loibl
Description
Summary:Aim - This pooled analysis aimed to evaluate locoregional recurrence (LRR) rates of breast cancer (BC) after neoadjuvant chemotherapy (NACT) and to identify independent LRR predictors. - Methods - 10,075 women with primary BC from nine neoadjuvant trials were included. The primary outcome was the cumulative incidence rate of LRR as the first event after NACT. Distant recurrence, secondary malignancy or death were defined as competing events. For identifying LRR predictors, surgery type, pathological complete response (pCR), BC subtypes and other potential risk factors were evaluated. - Results - Median followup was 67 months (range 0-215), overall LRR rate was 9.5%, 4.1% in pCR versus 9.5% in non-pCR patients. Younger age, clinically positive lymph nodes, G3 tumours, non-pCR and TNBC but not surgery type were independent LRR predictors in multivariate analysis. Among BC subtypes, 5-year cumulative LRR rates were associated with higher risk in non-pCR versus pCR patients, which was significant for HR+/HER2- (5.9% vs 3.9%; HR = 2.32 [95%CI 1.22-4.43]; p = 0.011); HR-/HER2+ (14.8% vs 3.1%; HR = 4.26 [94%CI 2.35-7.71]; p < 0.001) and TNBC (18.5% vs 4.2%; HR = 4.10 [95%CI 2.88-5.82]; p < 0.001) but not for HR+/HER2+ (8.1% vs 4.8%; HR = 1.56 [95%CI 0.85-2.85]; p = 0.150). Within non-pCR subgroup, LRR risk was higher for HR-/HER2+ and TNBC vs HR+/HER2- (HR = 2.05 [95%CI 1.54-2.73]; p < 0.001 and HR = 2.77 [95%CI 2.27-3.39]; p < 0.001, respectively). - Conclusions - This pooled analysis demonstrated that young age, node-positive and G3 tumours, as well as TNBC, and non-pCR significantly increased the risk of LRR after NACT. Hence, there is a clear need to investigate better multimodality therapies in the post-neoadjuvant setting for high-risk patients.
Item Description:Gesehen am 23.09.2020
Physical Description:Online Resource
ISSN:1879-0852
DOI:10.1016/j.ejca.2020.02.015