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Nomogram Predicting Locoregional Recurrence to Assist Decision-Making of Postmastectomy Radiation Therapy in Patients With T1-2N1 Breast Cancer

Authors :
Xiaorong Zhong
Hong Zheng
Yuxin Xie
Ling Deng
Chuanxu Luo
Kejia Hu
Source :
International journal of radiation oncology, biology, physics. 103(4)
Publication Year :
2018

Abstract

Purpose Postmastectomy radiation therapy (PMRT) had heterogeneous effects on survival outcome of patients with T1-2N1 breast cancer. A reliable model to estimate individuals’ risk of locoregional recurrence (LRR) and the potential benefit derived from PMRT is needed. Methods and Materials We retrospectively analyzed 1141 patients with T1-2N1 breast cancer who underwent mastectomy between January 2001 and December 2012. Based on the Fine and Gray competing risks regression in 623 unirradiated patients, a nomogram predicting LRR was conducted for risk quantification. Decision tree analysis was performed for patient grouping. The impact of PMRT was evaluated among 3 subgroups. Results With a median follow-up of 74.9 months, the 5-year cumulative incidence of LRR, distant recurrence (DR) and breast cancer mortality (BCM) were 3.9%, 8.8%, and 6.0%, respectively, for the entire cohort. Based on nomogram scores, patients were classified into 3 risk groups in decision tree analysis. In the high-risk group, PMRT was found to be associated with a 12.7% risk reduction of 5-year LRR, 9.2% risk reduction of 5-year DR, and 7.0% risk reduction of 5-year BCM, whereas it was not significantly associated with LRR, DR, or BCM in low- and intermediate-risk groups. Conclusions The nomogram performed individualized risk quantification of LRR in patients with T1-2N1 breast cancer. A newly identified patient subgroup with high risk of LRR were found to derive survival benefit from PMRT.

Details

ISSN :
1879355X
Volume :
103
Issue :
4
Database :
OpenAIRE
Journal :
International journal of radiation oncology, biology, physics
Accession number :
edsair.doi.dedup.....6f5af6200a4d00cec2090ef0928ca583