Integrative multidimensional analysis of age-associated synthetic lethal genes and development of a prognostic model in breast cancer

BackgroundBreast cancer (BRCA) is the most common malignancy and leading cause of mortality among women, with rising incidence in younger patients. Although treatments have advanced, outcomes for advanced BRCA remain poor. Synthetic lethality (SL) offers promise in precision oncology, but resistance...

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Bibliographic Details

Published in:	Frontiers in Immunology
Main Authors:	Qinqing Wu, Dongxu Ma, Heng Cao, Xiang Wang, Wenjuan Zhang, Wenbing Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-10-01
Subjects:	breast cancer synthetic lethality age machine learning Mendelian randomization SLC7A5
Online Access:	https://www.frontiersin.org/articles/10.3389/fimmu.2025.1690301/full