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基于pT1-2N1M0乳腺癌预后列线图的风险适应性乳房切除术后放疗决策:一项多中心研究

Risk-Adapted Postmastectomy Radiotherapy Decision Based on Prognostic Nomogram for pT1-2N1M0 Breast Cancer: A Multicenter Study.

作者信息

Li Ming, Yue Jinbo, Wan Xiangbo, Hua Bin, Yang Qiuan, Yang Pei, Zhang Zijian, Pei Qian, Han Weidong, Xu Yaping, Xia Xuefeng

机构信息

Department of Radiation Oncology, Beijing Hospital/National Center of Gerontology, Beijing, China.

Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University/Shandong Academy of Medical Sciences, Jinan, China.

出版信息

Front Oncol. 2020 Dec 11;10:588859. doi: 10.3389/fonc.2020.588859. eCollection 2020.

DOI:10.3389/fonc.2020.588859
PMID:33363018
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7761288/
Abstract

PURPOSE

The aim of this study was to develop a widely accepted prognostic nomogram and establish a risk-adapted PMRT strategy based on locoregional recurrence for pT1-2N1M0 breast cancer.

METHODS AND MATERIALS

A total of 3,033 patients with pT1-2N1M0 breast cancer treated at 6 participating institutions between 2000 and 2016 were retrospectively reviewed. A nomogram was developed to predicted locoregional recurrence-free survival (LRFS). A propensity score-matched (PSM) analyses was performed in risk-adapted model.

RESULTS

With the median follow-up of 65.0 months, the 5-year overall survival (OS), disease free survival (DFS) and LRFS were 93.0, 84.8, and 93.6%, respectively. There was no significant difference between patients who received PMRT or not for the entire group. A nomogram was developed and validated to estimate the probability of 5-year LRFS based on five independent factors including age, primary tumor site, positive lymph nodes number, pathological T stage, and molecular subtype that were selected by a multivariate analysis of patients who did not receive PMRT in the primary cohort. According to the total nomogram risk scores, the entire patients were classified into low- (40.0%), moderate- (42.4%), and high-risk group (17.6%). The 5-year outcomes were significantly different among these three groups (P<0.001). In low-risk group, patients who received PMRT or not both achieved a favorable OS, DFS, and LRFS. In moderate-risk group, no differences in OS, DFS, and LRFS were observed between PMRT and no PMRT patients. In high-risk group, compared with no PMRT, PMRT resulted in significantly different OS (86.8 vs 83.9%, P = 0.050), DFS (77.2 vs 70.9%, P = 0.049), and LRFS (90.8 vs. 81.6%, P = 0.003). After PSM adjustment, there were no significant differences in OS, DFS, and LRFS in low-risk and moderate-risk groups. However, in the high-risk group, PMRT still resulted in significantly better OS, DFS and improved LRFS.

CONCLUSIONS

The proposed nomogram provides an individualized risk estimate of LRFS in patients with pT1-2N1M0 breast cancer. Risk-adapted PMRT for high-risk patients is a viable effective strategy.

摘要

目的

本研究旨在开发一种广泛接受的预后列线图,并基于局部区域复发情况为pT1-2N1M0乳腺癌建立一种风险适应性的术后放疗(PMRT)策略。

方法和材料

回顾性分析了2000年至2016年间在6家参与机构接受治疗的3033例pT1-2N1M0乳腺癌患者。开发了一种列线图来预测无局部区域复发生存期(LRFS)。在风险适应性模型中进行了倾向评分匹配(PSM)分析。

结果

中位随访时间为65.0个月,5年总生存率(OS)、无病生存率(DFS)和LRFS分别为93.0%、84.8%和93.6%。整个组中接受或未接受PMRT的患者之间无显著差异。基于多因素分析从原发队列中未接受PMRT的患者中选择的年龄、原发肿瘤部位、阳性淋巴结数量、病理T分期和分子亚型这五个独立因素,开发并验证了一种列线图以估计5年LRFS的概率。根据列线图总风险评分,将所有患者分为低风险组(40.0%)、中风险组(42.4%)和高风险组(17.6%)。这三组的5年结局有显著差异(P<0.001)。在低风险组中,接受或未接受PMRT的患者均获得了良好的OS、DFS和LRFS。在中风险组中,接受PMRT和未接受PMRT的患者在OS、DFS和LRFS方面未观察到差异。在高风险组中,与未接受PMRT相比,PMRT导致OS(86.8%对83.9%,P = 0.050)、DFS(77.2%对70.9%,P = 0.049)和LRFS(90.8%对81.6%,P = 0.003)有显著差异。经过PSM调整后,低风险和中风险组在OS, DFS和LRFS方面无显著差异。然而,在高风险组中,PMRT仍然导致显著更好的OS、DFS和改善的LRFS。

结论

所提出的列线图为pT1-2N1M0乳腺癌患者提供了LRFS的个体化风险估计。对高风险患者采用风险适应性PMRT是一种可行的有效策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/649ec08a6449/fonc-10-588859-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/32f9a2118730/fonc-10-588859-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/d270a270d27e/fonc-10-588859-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/96860cc7837d/fonc-10-588859-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/d66d4e3f28fc/fonc-10-588859-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/596492708afb/fonc-10-588859-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/649ec08a6449/fonc-10-588859-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/32f9a2118730/fonc-10-588859-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/d270a270d27e/fonc-10-588859-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/96860cc7837d/fonc-10-588859-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/d66d4e3f28fc/fonc-10-588859-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/596492708afb/fonc-10-588859-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d671/7761288/649ec08a6449/fonc-10-588859-g006.jpg

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