ReviewCell communication and signaling : CCS2026
Notch receptors in breast cancer: context-dependent roles and therapeutic targeting.
Review in Cell communication and signaling : CCS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
Funding
Abstract
Breast cancer (BC) development is influenced by multifactorial mechanisms. Despite significant advancements in early diagnostic techniques and comprehensive therapeutic approaches, BC continues to pose a substantial threat to women's health, exhibiting persistently high incidence and mortality rates. The Notch signaling pathway, a highly conserved evolutionary pathway initially identified in Drosophila, has garnered extensive research interest and is implicated in the pathogenesis of diverse malignancies, including BC. However, accumulating evidence reveals a highly context-dependent role for Notch signaling in cancer, with documented functions ranging from oncogenic to tumor-suppressive depending on the specific cellular and microenvironmental context. Current evidence indicates that Notch1-4 display nonredundant functional divergence in BC. In this review, we discuss how receptor-specific regulatory mechanisms shape distinct Notch1-4 signaling outputs and summarize the context-dependent functions and molecular mechanisms of Notch receptors across tumor-cell states, BC molecular subtypes, and tumor microenvironmental components. We also review current advances and limitations in pan-Notch inhibition and receptor-specific targeting strategies, aiming to provide clearer directions for future Notch receptor-targeted therapy in BC.
Indexed as
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42469819What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.