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

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

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Publication Details

Journal
Frontiers in Oncology
Published
2025-04-09
DOI
https://doi.org/10.3389/fonc.2025.1552937
Primary Topic
HER2/EGFR in Cancer Research
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Dawei Yuan, Haixia Ye, Wenbo Liu, Rulan Ma
1 links
Frontiers in Oncology
HER2/EGFR in Cancer Research
article

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

Dawei Yuan, Haixia Ye, Wenbo Liu, Rulan Ma
article en

Abstract

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

Frontiers in OncologyVol. 15
First Affiliated Hospital of Xi'an Jiaotong University (CN)
Openalex Percentile: Top 89%
HER2/EGFR in Cancer Research
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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 — Dawei Yuan, Haixia Ye, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS