Risk stratification for prediction of locoregional recurrence in patients with pathologic T1–2N0 breast cancer after mastectomy

Author:

Wang Jianyang,Tang Yu,Jing Hao,Sun Guangyi,Jin Jing,Liu Yueping,Song Yongwen,Wang Weihu,Fang Hui,Chen Bo,Qi Shunan,Ren Hua,Li Ning,Tang Yuan,Lu Ningning,Yang Yong,Yu Zihao,Wang ShulianORCID,Li Yexiong

Abstract

Abstract Background Previous studies have revealed that nearly 15–20% of selected high-risk T1–2N0 breast cancers developed LRR after mastectomy. This study is aim to indentify the risk factors of locoregional recurrence (LRR) in patients with pathologic T1–2N0 breast cancer after mastectomy in a real-world and distinguish individuals who warrant postmastectomy radiotherapy (PMRT). Methods Female patients treated from 1999 to 2014 in National Cancer Center of China were retrospectively reviewed. A competing risk model was developed to estimate the cumulative incidence of LRR with death treated as a competing event. Results A total of 4841 patients were eligible. All underwent mastectomy plus axillary nodes dissection or sentinel node biopsy without PMRT. With a median follow-up of 56.4 months (range, 1–222 months), the 5-year LRR rate was 3.9%.Besides treatment era, age ≤ 40 years old (p < 0.001, hazard ratio [HR] = 2.262), tumor located in inner quadrant (p < 0.001, HR = 2.236), T2 stage (p = 0.020, HR = 1.419), and negative expressions of estrogen receptor (ER) and progesterone receptor (PR) (p = 0.032, HR = 1.485), were patients-related independent risk factors for LRR. The 5-year LRR rates were 1.7, 3.5, and 15.0% for patients with zero, 1–2, and 3–4 risk factors (p < 0.001). Conclusions Risk Stratification based on age, T stage, ER/PR status and tumor location can stratify patients with pT1–2 N0 breast cancer into subgroups with different risk of LRR. PMRT might be suggested for patients with 3–4 risk factors.

Funder

National Key Scientific Instrument and Equipment Development Projects of China

National Natural Science Foundation of China

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Genetics,Oncology

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