Wade L, Chan E K, Musoke R, Gondara L, Speers C, Lohrisch C, Nichol A M
Department of Radiation Oncology, BC Cancer, Vancouver, British Columbia, Canada.
Department of Radiation Oncology, BC Cancer, Vancouver, British Columbia, Canada; University of British Columbia, Vancouver, British Columbia, Canada.
Clin Oncol (R Coll Radiol). 2025 Aug 23;47:103928. doi: 10.1016/j.clon.2025.103928.
Postmastectomy radiotherapy (PMRT) in women with T1-2 N0 breast cancer is not routinely recommended by guidelines but is sometimes considered when patients have multiple predictors of locoregional relapse (LRR). This study re-evaluates the role of PMRT in the era of modern systemic therapy.
Patients with pT1-2 pN0 M0 breast cancer treated from 2005 to 2014 with total mastectomy were identified. Patients who had prior or synchronous breast cancer, neoadjuvant chemotherapy, or incomplete radiotherapy courses were excluded. LRR was analysed with a Fine-Gray subdistribution hazard model, and overall survival (OS) was analysed with Cox regression. A nomogram for estimating LRR was devised and validated with propensity score matching.
The study cohort included 3752 women with negative margins and a median follow-up of 11.4 years. As systemic therapy, 32.4% had chemotherapy, 70.2% had hormone therapy, and 10.7% had targeted therapy. The 10-year LRR for the study cohort was 3.7%. The 358 PMRT patients had more adverse features than the 3394 no-PMRT patients. LRR was increased by seven predictors: younger age, larger primaries, luminal B or triple-negative subtypes, lymphovascular invasion (LVI), close margins, omission of chemotherapy, and omission of hormone therapy. PMRT receipt was associated with decreased LRR (HR=0.53, P = 0.04) but did not affect OS. Our nomogram only predicted absolute LRR risks >10% without PMRT when combinations of four or more predictors were present. Only 5% of patients had four or more predictors. The nomogram's predictions for PMRT benefit were within 1% of the predictions based on the higher-risk, propensity-score-matched cohort.
For T1-2N0 breast cancers treated in the era of modern systemic therapy, PMRT did not influence OS. However, there is a small subgroup of high-risk patients for whom PMRT offers a meaningful LRR reduction. Our nomogram can help individualise PMRT decision-making for patients with multiple LRR predictors.
对于T1-2 N0期乳腺癌女性患者,指南并不常规推荐术后放疗(PMRT),但当患者存在多个局部区域复发(LRR)预测因素时,有时会考虑进行PMRT。本研究重新评估了PMRT在现代全身治疗时代的作用。
确定2005年至2014年接受全乳切除术治疗的pT1-2 pN0 M0期乳腺癌患者。排除既往有乳腺癌或同时患有乳腺癌、接受过新辅助化疗或放疗疗程不完整的患者。采用Fine-Gray亚分布风险模型分析LRR,采用Cox回归分析总生存期(OS)。设计了一个用于估计LRR的列线图,并通过倾向评分匹配进行验证。
研究队列包括3752名切缘阴性的女性,中位随访时间为11.4年。作为全身治疗,32.4%的患者接受了化疗,70.2%的患者接受了激素治疗,10.7%的患者接受了靶向治疗。研究队列的10年LRR为3.7%。358例接受PMRT的患者比3394例未接受PMRT的患者具有更多不良特征。有七个预测因素会增加LRR:年龄较小、原发肿瘤较大、管腔B型或三阴性亚型、淋巴管浸润(LVI)、切缘接近、未进行化疗以及未进行激素治疗。接受PMRT与LRR降低相关(HR=0.53,P = 0.04),但不影响OS。我们的列线图仅在存在四个或更多预测因素组合时预测无PMRT时的绝对LRR风险>10%。只有5%的患者有四个或更多预测因素。列线图对PMRT获益的预测与基于高风险、倾向评分匹配队列的预测相差在1%以内。
对于现代全身治疗时代治疗的T1-2N0期乳腺癌,PMRT不影响OS。然而,有一小部分高危患者,PMRT可显著降低LRR。我们的列线图有助于为具有多个LRR预测因素的患者进行个性化的PMRT决策。