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A prediction model for predicting relapsed-free survival of early-stage invasive breast cancer patients with hormone

Dawei Yuan1, Rulan Ma1, Haixia Ye2

  • 1Department of Surgical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Frontiers in Oncology
|April 24, 2025
PubMed
Summary
This summary is machine-generated.

This study identified chemotherapy, TOP2A, HER2, and Ki67 as key predictors of relapse-free survival in early-stage hormone receptor-positive breast cancer patients. A nomogram incorporating these factors reliably forecasts survival outcomes.

Keywords:
TOP2Ahormone receptor positiveinvasive breast cancernomogramrelapse-free survival

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Area of Science:

  • Oncology
  • Genetics
  • Biomarkers

Background:

  • Hormone receptor-positive (HR+) early-stage invasive breast cancer (IBC) requires accurate prognostication for effective treatment planning.
  • Identifying reliable predictors of relapse-free survival (RFS) is crucial for managing HR+ IBC patients.

Purpose of the Study:

  • To investigate the association between specific gene expressions (RRM1, TOP2A, TYMS, TUBB3, PTEN) and RFS in early-stage HR+ IBC.
  • To develop and validate a predictive nomogram model for RFS in this patient cohort.

Main Methods:

  • Kaplan-Meier survival analysis and Cox regression were employed to identify risk factors for RFS.
  • A nomogram was constructed and validated using independent predictors identified through Cox regression analysis.
  • The study included 126 early-stage HR+ IBC patients diagnosed between June 2017 and December 2020.

Main Results:

  • Significant correlations were found between TYMS, RRM1, TUBB3, TOP2A, PTEN, Ki67, HER2 expression, and RFS.
  • Chemotherapy, along with higher expression of TOP2A, HER2, and Ki67, emerged as independent predictors of RFS.
  • The developed nomogram demonstrated good predictive performance for RFS in early-stage HR+ IBC patients.

Conclusions:

  • Chemotherapy, TOP2A, HER2, and Ki67 expression are significant independent predictors of RFS in early-stage HR+ IBC.
  • The developed nomogram serves as a reliable tool for predicting RFS, aiding in clinical decision-making for this patient group.