Establishment and Verification of Prognostic Nomograms for Young Women With Breast Cancer Bone Metastasis.
Establishment and Verification of Prognostic Nomograms for Young Women With Breast Cancer Bone Metastasis.
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DOI：
10.3389/fmed.2022.840024
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发表时间：
2022
影响因子：
3.9
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中科院分区：
文献类型：
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转移性乳腺癌患者的预后通常在个体之间差异很大。目前，诺模图在转移性肿瘤中的应用非常广泛。本研究旨在确定独立的生存预测因子，并构建年轻女性乳腺癌骨转移（BCBM）的列线图。我们搜索了监测，流行病学和最终结果（SEER）数据库，以确定2010年至2016年期间诊断为BCBM的年轻女性。我们首先应用单变量考克斯回归分析分析了总生存期（OS）和癌症特异性生存期（CSS）的潜在危险因素。然后我们进行多变量考克斯分析，以确定独立的生存预测因子。基于显著的独立预测因子，我们使用R 4.1.0版软件开发并验证了新的预后诺模图。我们最终确定了715名符合条件的BCBM年轻女性进行生存分析，其中358名患者在训练集中，357名患者在验证集中。大约五分之四的患者年龄在31至40岁之间。该研究人群的5年OS和CSS率分别为41.9%和43.3%。多变量分析显示了OS和CSS的7个独立预测因素，包括种族、肿瘤亚型、肿瘤大小、手术治疗、脑转移、肝转移和肺转移。基于这些预测因子，我们开发并验证了OS和CSS列线图。OS诺模图的C指数在训练集和验证集中分别达到0.728和0.73。CSS诺模图的C指数在训练集和验证集中分别达到0.743和0.695。同时，高质量的校准图显示在OS和CSS诺模图。目前新的列线图可以提供一个个体化的生存评估与BCBM的年轻女性，并指导临床医生对他们进行适当的治疗。
The prognosis of patients with metastatic breast cancer usually varies greatly among individuals. At present, the application of nomogram is very popular in metastatic tumors. The present study was conducted to identify independent survival predictors and construct nomograms among young women with breast cancer bone metastasis (BCBM). We searched the Surveillance, Epidemiology, and End Results (SEER) database to identify young women diagnosed with BCBM between 2010 and 2016. We first analyzed the potential risk factors of overall survival (OS) and cancer-specific survival (CSS) by applying univariate Cox regression analysis. Then we conducted multivariate Cox analysis to identify independent survival predictors. Based on significant independent predictors, we developed and validated novel prognostic nomograms by using the R version 4.1.0 software. We finally identified 715 eligible young women with BCBM for survival analysis, of which 358 patients were in the training set, and 357 patients in the validation set. Approximately four-fifths of patients are between 31 and 40 years old. The 5-year OS and CSS rates of this research population were 41.9 and 43.3%, respectively. Multivariate analysis revealed seven independent predictors of both OS and CSS, including race, tumor subtype, tumor size, surgical treatment, brain metastasis, liver metastasis, and lung metastasis. Based on these predictors, we developed and validated OS and CSS nomograms. The C-index of the OS nomogram reached 0.728 and 0.73 in the training and validation sets, respectively. The C-index of the CSS nomogram reached 0.743 and 0.695 in the training and validation sets, respectively. Meanwhile, high quality calibration plots were revealed in both OS and CSS nomograms. The current novel nomograms can provide an individualized survival evaluation of young women with BCBM and instruct clinicians to treat them appropriately.
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影响因子：
7.3
作者：
Eiriz IF;Vaz Batista M;Cruz Tomás T;Neves MT;Guerra-Pereira N;Braga S
通讯作者：
Braga S
影响因子：
3.7
作者：
Li, Wei;Xiao, Yang;Zhang, Yange
通讯作者：
Zhang, Yange
影响因子：
3.9
作者：
Lin, Shaoyan;Mo, Hongnan;Xu, Binghe
通讯作者：
Xu, Binghe
影响因子：
11.8
作者：
Dong, Yi-Min;Sun, Jia;Ye, Da-Wei
通讯作者：
Ye, Da-Wei
影响因子：
--
作者：
Wang, Zhan;Cheng, Yonggang;Ye, Zhaoming
通讯作者：
Ye, Zhaoming