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基于Ki67、HER2和TOP2A预测激素受体阳性早期浸润性乳腺癌患者无复发生存的预测模型。

A prediction model for predicting relapsed-free survival of early-stage invasive breast cancer patients with hormone receptor positive based on Ki67, HER2 and TOP2A.

作者信息

Yuan Dawei, Ma Rulan, Ye Haixia, Liu Wenbo

机构信息

Department of Surgical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

The Second Clinical College, Department of Medicine, Wuhan University, Wuhan, China.

出版信息

Front Oncol. 2025 Apr 9;15:1552937. doi: 10.3389/fonc.2025.1552937. eCollection 2025.

Abstract

OBJECTIVE

The purpose of the current study was to determine the relationship between ribonucleotide reductase M1 (RRM1), topoisomerase II alpha (TOP2A), Thymidylate synthase (TYMS), class III beta-tubulin (TUBB3) and phosphatase and tensin homolog (PTEN) expressions and relapse-free survival (RFS) in early-stage invasive breast cancer (IBC) patients with hormone receptor positive (HR), as well as to develop a nomogram model for forecasting RFS.

METHODS

Early-stage IBC patients with HR who were diagnosed and treated at the First Affiliated Hospital of Xi'an Jiaotong University from June 2017 to December 2020 were enrolled in this study. The survival analysis was performed by utilizing the Kaplan-Meier method, and the risk factors linked to patient RFS were determined by performing Cox regression analysis. The nomogram for predicting RFS in early-stage IBC patients with HR was stablished and validated based on the results of the Cox regression analysis.

RESULTS

In total, 126 early-stage IBC patients with HR were included in the current study. Among these patients, 23 cases experienced relapse after surgery, with a median RFS of 29 months. Significant relationships were observed between TYMS, RRM1, TUBB3, TOP2 and PTEN, Ki67 and human epidermal growth factor receptor 2 (HER2) and patient RFS. Cox regression analysis revealed that chemotherapy and higher expression levels of TOP2A, HER2 and Ki67 were independent predictors of RFS in early-stage IBC patients with HR. The nomogram we constructed using the above independent risk factors exhibited good ability for predicting RFS in early-stage IBC patients with HR.

CONCLUSION

Chemotherapy, TOP2A, HER2, and Ki67 expression were independent predictors of RFS in early-stage IBC patients with HR. The nomogram we developed using these predictors is a reliable tool for predicting RFS in this patient population.

摘要

目的

本研究旨在确定核糖核苷酸还原酶M1(RRM1)、拓扑异构酶IIα(TOP2A)、胸苷酸合成酶(TYMS)、III类β-微管蛋白(TUBB3)和磷酸酶及张力蛋白同源物(PTEN)的表达与激素受体阳性(HR)的早期浸润性乳腺癌(IBC)患者无复发生存期(RFS)之间的关系,并建立一个预测RFS的列线图模型。

方法

纳入2017年6月至2020年12月在西安交通大学第一附属医院确诊并接受治疗的HR早期IBC患者。采用Kaplan-Meier法进行生存分析,并通过Cox回归分析确定与患者RFS相关的危险因素。基于Cox回归分析结果,建立并验证了HR早期IBC患者RFS的列线图。

结果

本研究共纳入126例HR早期IBC患者。其中,23例患者术后复发,中位RFS为29个月。观察到TYMS、RRM1、TUBB3、TOP2和PTEN、Ki67与人类表皮生长因子受体2(HER2)与患者RFS之间存在显著关系。Cox回归分析显示,化疗以及TOP2A、HER2和Ki67的高表达水平是HR早期IBC患者RFS的独立预测因素。我们使用上述独立危险因素构建的列线图在预测HR早期IBC患者RFS方面表现出良好的能力。

结论

化疗、TOP2A、HER2和Ki67表达是HR早期IBC患者RFS的独立预测因素。我们使用这些预测因素开发的列线图是预测该患者群体RFS的可靠工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d81d/12014635/3f372e07a9c7/fonc-15-1552937-g001.jpg

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