Abstract
Background
The effect of postmastectomy radiotherapy (PMRT) on patient outcomes after neoadjuvant chemotherapy (NAC) remains controversial. We aimed to establish a model to identify the subsets benefiting from PMRT and to examine the effect of PMRT according to molecular subtype.
Patients and Methods
We retrospectively analyzed 1118 cT1-4cN0-3M0 breast cancer patients treated with NAC and mastectomy. A nomogram predicting locoregional recurrence (LRR) was established based on 418 unirradiated patients, and X-tile analysis was performed to divide the patients into two risk groups. The effect of PMRT on LRR, distant recurrence (DR), and breast cancer mortality (BCM) was estimated for patients with different molecular subtypes in two risk groups.
Results
A nomogram predicting LRR was developed using six factors: histologic classification, lymphovascular invasion, ypT stage, ypN stage, estrogen receptor status, and Ki-67 expression. Our study found that PMRT correlated with lower 5-year LRR, DR, and BCM rates for the high-risk group; however, no significant improvement in these endpoints was observed in the low-risk group. Among patients with high risk, subgroup analysis showed that LRR control was improved after PMRT for the human epidermal growth factor receptor 2 (HER2)-negative/hormone receptor (HR)-positive (HER2−/HR+), HER2-positive (HER2+)/HR+, and HER2−/HR-negative (HR−) subtypes, with hazard ratios of 0.113 (95% confidence [CI] 0.034–0.379; p < 0.001), 0.159 (95% CI 0.038–0.671; p = 0.017), and 0.243 (95% CI 0.088–0.676; p = 0.007), respectively, but not for the HER2+/HR− subtype (p = 0.468).
Conclusions
We built a nomogram showing favorable risk quantification and patient stratification. Patients in the high-risk group benefited from PMRT, but patients in the low-risk group did not. PMRT may show different benefits for each molecular subtype.
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Change history
26 February 2021
A Correction to this paper has been published: https://doi.org/10.1245/s10434-021-09771-9
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Funding
This work was supported by the National Key Development Plan for Precision Medicine Research (Grant Number 2017YFC0910004); the 135 Project for Disciplines of Excellence, West China Hospital, Sichuan University (Grant Number ZYGD18012); and the Key Research and Development Project of Sichuan Province of China (grant number 2018SZ0021).
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Jia-Chun Ma, Xiao-Rong Zhong, Ting Luo, Zhong-Zheng Xiang, Jia-Yuan Li, Chuanxu Luo, Xi Yan, Ping He, Ting-Lun Tian, Fang Liu, Lei Liu, and Hong Zheng have no conflicts of interest to declare.
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The original online version of this article was revised: Xiao-Rong Zhong’s given name was incorrect.
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Figure S1. Calibration curves of the nomogram to predict LRR in the No-PMRT group
Figure S2. Calibration curves of the nomogram to predict LRR in the external validation group
Figure S3. X-tile analysis of the effect of the nomogram score for local recurrence in unirradiated patients
Figure S4. Kaplan-Meier probability plots of LRR, DR and BCM by PMRT for all patients (A-C), patients in the low-risk group (D-F) and patients in the high-risk group (G-I) (PDF 622 kb)
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Ma, JC., Zhong, XR., Luo, T. et al. The Effect of Postmastectomy Radiotherapy on Breast Cancer Patients After Neoadjuvant Chemotherapy by Molecular Subtype. Ann Surg Oncol 28, 5084–5095 (2021). https://doi.org/10.1245/s10434-020-09523-1
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DOI: https://doi.org/10.1245/s10434-020-09523-1