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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Detalhes bibliográficos

Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-03-01
coleção:	Scientific Reports
Assuntos:	Hormone receptor-positive Breast cancer Artificial intelligence Prognostic model Endocrine therapy
Acesso em linha:	https://doi.org/10.1038/s41598-025-92872-2
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