PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 20, 2025Frontiers in Immunology6 citationsOpen Access

Notch signaling in cancer: metabolic reprogramming and therapeutic implications

View Full Paper
SWShuangshuang WangHLH.K LvRNRongzu Nie

Key Points

  • Notch signaling is crucial in cancer, functioning variably as an oncogene or tumor suppressor.
  • Aberrant Notch activation promotes processes like epithelial–mesenchymal transition and metabolic reprogramming.
  • Current therapies include γ-secretase inhibitors and Notch-targeted strategies, facing challenges in clinical applications.
  • Future research must focus on selective Notch modulators and predictive biomarkers for better outcomes.

Abstract

The evolutionarily conserved Notch signaling pathway is essential for cell-fate determination, organogenesis, and tissue homeostasis. Notch receptors and their ligands are transmembrane proteins with epidermal growth factor–like repeats; ligand–receptor binding triggers canonical Notch signaling. Notch signaling is context dependent in cancer, functioning as either an oncogene or a tumor suppressor. Aberrant Notch activation promotes epithelial–mesenchymal transition, sustains cancer stem–like phenotypes, and drives metabolic reprogramming, thereby facilitating tumor progression and therapeutic resistance. Current clinical efforts target the pathway with γ-secretase inhibitors (GSIs), monoclonal and bispecific antibodies, and synthetic Notch (synNotch) approaches. Clinical translation, however, is constrained by dose-limiting toxicity, a paucity of predictive biomarkers, and compensatory resistance through intersecting pathways. Priorities for future work include the development of highly selective Notch modulators, biomarker-guided combination regimens, and targeted delivery systems to realize the translational potential of Notch-targeted therapies in precision oncology.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68d46aae31b076d99fa677dahttps://doi.org/10.3389/fimmu.2025.1656370
Ask AI
Helpful
Bookmark
Share
View Full Paper