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Therapy-Induced Senescence in Cancer Treatment Resistance: Mechanisms, Evidence, and Translational Opportunities

Sep 2026 · Cancers · 0 citations · 178 references

TL;DR

Overall, current data support a context-dependent role for persistent senescence in treatment resistance, but do not establish TIS as a universal or independent cause of therapeutic failure.

Abstract

Cellular senescence is a heterogeneous and context-dependent stress response that can influence cancer treatment response. Therapy-induced senescence (TIS) may initially suppress tumor growth through durable proliferative arrest, whereas persistence of senescent cells may, in specific contexts, contribute to recurrence or resistance through SASP-mediated signaling, metabolic and epigenetic remodeling, cellular plasticity, immune evasion, and changes in the tumor microenvironment. TIS also develops within tissues that may contain pre-existing senescent populations generated by aging, chronic inflammation, environmental stress, metabolic dysfunction, fibrosis, or oncogenic signaling. In this narrative review, we synthesize mechanistic, translational, and clinical evidence linking senescence to resistance across chemotherapy, radiotherapy, targeted therapy, and immunotherapy. We explicitly distinguish experimental mechanisms, clinical associations, and evidence that has or has not undergone prospective validation. Particular attention is given to SASP signaling, cellular plasticity and cancer stemness, senescence escape, metabolic adaptation, immune surveillance, and biomarker limitations. We further evaluate emerging senolytic and senomorphic strategies and the sequential “one–two punch” paradigm, emphasizing differences between preclinical proof-of-concept and clinical evidence. Overall, current data support a context-dependent role for persistent senescence in treatment resistance, but do not establish TIS as a universal or independent cause of therapeutic failure. Clinical translation remains limited by senescence heterogeneity, lack of validated biomarkers, treatment toxicity, uncertainty regarding timing, and insufficient prospective trials.

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