Ren Fei, Yang Chenxuan, Liu Jiaxiang, Feng Kexin, Shang Qingyao, Kang Xiyu, Zhang Ruixuan, Li Li, Zhao Shuangtao, Wang Xin, Wang Xiang
Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Department of Clinical Medical College, Peking Union Medical College, Beijing, China.
Transl Cancer Res. 2024 Feb 29;13(2):935-951. doi: 10.21037/tcr-23-1639. Epub 2024 Feb 28.
Breast cancer patients with positive axillary lymph nodes usually require axillary lymph node dissection (ALND), with many postoperative complications, such as lymphedema. For these patients, whether sentinel lymph node biopsy (SLNB) can replace ALND has been a research hotspot in the field of breast cancer. This study developed two risk stratification models for predicting the clinical outcomes of breast cancer patients with positive axillary lymph nodes receiving SLNB alone or ALND to determine which patients could potentially avoid ALND.
A total of 21,942 breast cancer patients, including a training set (n=15,362) and a testing set (n=6,580), were enrolled in this study from Surveillance, Epidemiology, and End Results (SEER) between 2000 and 2017. The risk factors associated with breast cancer-specific survival (BCSS) and overall survival (OS) were evaluated using multivariate Cox regression analysis and then integrated into nomograms and risk stratification models examined by receiver operating characteristic (ROC) curves and calibration curves. The survival discrepancies were compared between the SLNB and ALND subgroups with different risk scores with Kaplan-Meier plots.
In multivariate Cox regression analyses, grade, marital status, T stage, radiotherapy and lymph node metastasis (GMTRL) were independent risk factors in breast cancer patients with both OS and BCSS status in the ALND cohort from the training set. Nomograms have been developed based on these factors to predict 3- and 5-year OS and BCSS in patients with ALND. Calibration curves and ROC curves in both the training and testing sets confirmed the excellent overall predictive performance of the nomograms. Furthermore, we developed two risk stratification models based on OS and BCSS status, revealing that patients with low GMTRL scores might avoid ALND in both OS and BCSS status [OS: hazard ratio (HR) =0.929, 95% confidence interval (CI): 0.841-1.027, P=0.150; BCSS: HR =0.953, 95% CI: 0.831-1.094, P=0.495], but patients with moderate (OS: HR =0.756, 95% CI: 0.666-0.859, P<0.001; BCSS: HR =0.643, 95% CI: 0.537-0.768, P<0.001) and high GMTRL scores could not (OS: HR =0.719, 95% CI: 0.549-0.940, P=0.014; BCSS: HR =0.731, 95% CI: 0.549-0.974, P=0.031).
Breast cancer patients with positive nodes could be treated with SLNB alone rather than ALND without affecting prognosis based on GMTRL scores. Patients with high or moderate GMTRL scores benefited greatly from ALND, but not for patients with low GMTRL scores. This study may assist clinicians in tailoring treatments.
腋窝淋巴结阳性的乳腺癌患者通常需要进行腋窝淋巴结清扫术(ALND),术后会出现许多并发症,如淋巴水肿。对于这些患者,前哨淋巴结活检(SLNB)能否替代ALND一直是乳腺癌领域的研究热点。本研究建立了两个风险分层模型,用于预测单独接受SLNB或ALND的腋窝淋巴结阳性乳腺癌患者的临床结局,以确定哪些患者有可能避免进行ALND。
本研究纳入了2000年至2017年期间来自监测、流行病学和最终结果(SEER)数据库的21942例乳腺癌患者,包括一个训练集(n = 15362)和一个测试集(n = 6580)。使用多因素Cox回归分析评估与乳腺癌特异性生存(BCSS)和总生存(OS)相关的危险因素,然后将其整合到列线图和风险分层模型中,通过受试者操作特征(ROC)曲线和校准曲线进行检验。使用Kaplan-Meier曲线比较不同风险评分的SLNB和ALND亚组之间的生存差异。
在多因素Cox回归分析中,在训练集的ALND队列中,分级、婚姻状况、T分期、放疗和淋巴结转移(GMTRL)是OS和BCSS状态的乳腺癌患者的独立危险因素。基于这些因素建立了列线图,以预测接受ALND患者的3年和5年OS及BCSS。训练集和测试集的校准曲线和ROC曲线均证实了列线图具有出色的总体预测性能。此外,我们基于OS和BCSS状态建立了两个风险分层模型,结果显示GMTRL评分低的患者在OS和BCSS状态下都可能避免进行ALND [OS:风险比(HR)= 0.929,95%置信区间(CI):0.841 - 1.027,P = 0.150;BCSS:HR = 0.953,95% CI:0.831 - 1.094,P = 0.495],但GMTRL评分中等(OS:HR = 0.756,95% CI:0.666 - 0.859,P < 0.001;BCSS:HR = 0.643,95% CI:0.537 - 0.768,P < 0.001)和高GMTRL评分的患者则不能避免(OS:HR = 0.719,95% CI:0.549 - 0.940,P = 0.014;BCSS:HR = 0.731,95% CI:0.549 - 0.974,P = 0.031)。
基于GMTRL评分,腋窝淋巴结阳性的乳腺癌患者可以单独接受SLNB治疗而非ALND,且不影响预后。GMTRL评分高或中等的患者从ALND中获益很大,但GMTRL评分低的患者并非如此。本研究可能有助于临床医生制定个性化治疗方案。