Development and validation of a postoperative prognostic model for hormone receptor positive early stage breast cancer recurrence

Development and validation of a postoperative prognostic model for hormone receptor positive early stage breast cancer recurrence

Abstract Predicting recurrence among early-stage hormone receptor-positive human epidermal growth factor receptor-negative breast cancer (HR+/HER2− BC) is crucial for guiding adjuvant therapy. However, studies are limited for patients with low recurrence risk. HR+/HER2− early-stage (T1-2N0-1) invasi...

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Bibliographic Details
Main Authors: Ruixin Pan, Haoting Shi, Yiqing Shen, Xue Wang, Shi Zhao, Nan Zhang, Xueyan Zhang, Shuwen Dong, Chao Hu, Jiayi Wu, Weimin Chai, Xiaosong Chen, Kunwei Shen
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Hormone receptor-positive
Breast cancer
Artificial intelligence
Prognostic model
Endocrine therapy
Online Access:https://doi.org/10.1038/s41598-025-92872-2
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https://doi.org/10.1038/s41598-025-92872-2

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