March 3, 2026Open Access

Establishment of a model to predict the recurrence time of hormone receptor-positive/human epidermal growth factor receptor 2-negative breast cancer

Key Points

The nomogram predicts late recurrence using key clinicopathological factors.
Patients with fewer positive lymph nodes and low Ki-67 levels have lower recurrence risk.
Data were gathered from 639 hormone receptor-positive breast cancer patients for model creation.
Further prospective studies are essential for external validation of this predictive model.

Abstract

A well-calibrated nomogram is constructed using the data of clinicopathological factors obtained from 639 HR+/HER2- BC patients. Patients with premenopausal status at initial diagnosis, fewer positive lymph nodes and a lower level of Ki-67 were common factors for late recurrence. The nomogram could well predict the risk of late recurrence. Prospectively designed studies are needed to further validate the model.

Establishment of a model to predict the recurrence time of hormone receptor-positive/human epidermal growth factor receptor 2-negative breast cancer

Key Points

Abstract

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