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预测 50 岁以上 HR+/HER2-乳腺癌患者高危 RS 的列线图。

A nomogram to predict the high-risk RS in HR+/HER2-breast cancer patients older than 50 years of age.

机构信息

Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China.

出版信息

J Transl Med. 2021 Feb 16;19(1):75. doi: 10.1186/s12967-021-02743-3.

Abstract

BACKGROUND

The 21-gene recurrence score (RS) testing can predict the prognosis for luminal breast cancer patients. Meanwhile, patients > 50 years with RS > 25 have improved survival with adjuvant chemotherapy. The current study aimed to develop a nomogram with routine parameters to predict RS.

METHODS

We included patients diagnosed with hormone receptor (HR)-positive, human epidermal growth factor receptor-2 (HER2)-negative who underwent the 21-gene RS testing and aged > 50 years. The primary outcome was high-risk RS (> 25). Univariate and multivariate analyses were performed to identify significant predictors. A predictive nomogram based on logistic model was developed and evaluated with receiver operating characteristic (ROC) curves. The nomogram was internally validated for discrimination and calibration with bootstrapping method, and externally validated in another cohort. We then assessed the nomogram in different subgroups of patients and compared it with several published models.

RESULTS

A total of 1100 patients were included. Five clinicopathological parameters were used as predictors of a high-risk RS, including tumor grade, histologic subtype, ER expression, PR expression, and Ki-67 index. The area under the curve (AUC) was 0.798 (95% CI 0.772-0.825) and optimism adjusted AUC was 0.794 (95% CI 0.781-0.822). External validation demonstrated an AUC value of 0.746 (95% CI 0.685-0.807), which had no significant difference with the training cohort (P = 0.124). Calibration plots indicated that the nomogram-predicted results were well fitted to the actual outcomes in both internal and external validation. The nomogram had better discriminate ability in patients who had tumors > 2 cm (AUC = 0.847, 95% CI 0.804-0.890). When compared with four other existing models, similar AUC was observed between our nomogram and the model constructed by discriminate Lee et al. CONCLUSIONS: We developed a user-friendly nomogram to predict the high-risk RS in luminal breast cancer patients who were older than 50 years of age, which could guide treatment decision making for those who have no access to the 21-gene RS testing.

摘要

背景

21 基因复发评分 (RS) 检测可预测管腔型乳腺癌患者的预后。同时,对于 RS>25 的>50 岁的患者,辅助化疗可改善生存。本研究旨在建立一个基于常规参数的列线图来预测 RS。

方法

我们纳入了诊断为激素受体 (HR) 阳性、人表皮生长因子受体 2 (HER2) 阴性且接受 21 基因 RS 检测、年龄>50 岁的患者。主要结局为高风险 RS(>25)。采用单因素和多因素分析确定显著预测因素。基于逻辑模型建立预测列线图,并通过接受者操作特征 (ROC) 曲线进行评估。通过 bootstrap 方法对列线图进行内部验证以评估区分度和校准度,并在另一个队列中进行外部验证。然后我们在不同的患者亚组中评估该列线图,并将其与几个已发表的模型进行比较。

结果

共纳入 1100 例患者。有 5 个临床病理参数被用作高风险 RS 的预测因素,包括肿瘤分级、组织学亚型、ER 表达、PR 表达和 Ki-67 指数。曲线下面积 (AUC) 为 0.798(95%CI 0.772-0.825),校正后 AUC 为 0.794(95%CI 0.781-0.822)。外部验证显示 AUC 值为 0.746(95%CI 0.685-0.807),与训练队列无显著差异 (P=0.124)。校准图表明,内部和外部验证中,列线图预测结果与实际结果拟合良好。在肿瘤>2cm 的患者中,该列线图具有更好的区分能力(AUC=0.847,95%CI 0.804-0.890)。与其他 4 个现有的模型相比,我们的列线图与 discriminate Lee 等人构建的模型具有相似的 AUC。

结论

我们建立了一个易于使用的列线图,用于预测年龄>50 岁的管腔型乳腺癌患者的高危 RS,可为无法进行 21 基因 RS 检测的患者提供治疗决策指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3661/7885620/98e35980d195/12967_2021_2743_Fig1_HTML.jpg

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