Life sciences · Journal article
Frontiers in Oncology · October 5, 2026
No summary has been generated for this record yet. What follows is drawn from its source metadata only.
Journal article.
No findings were extractable from the material analysed.
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
The source did not state who this applies to in practice.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
This record has not been graded across any dimension yet. Treat the label above as provisional and read the source.
What is missing. This record has no bottom line, key findings, reported figures, evidence dimensions. That is a gap in the analysis, not a judgement about the study.
Epigenetic therapies can reverse malignant transcriptional programs, but their activity is often constrained by adaptive stress responses that allow cancer cells to survive and recover. Autophagy is a central component of this adaptation. By sustaining metabolic homeostasis, mitochondrial fitness, proteostasis, and lysosomal recycling, autophagy can buffer the cellular injury produced by inhibitors of DNA methyltransferases, histone deacetylases, and bromodomain proteins. These observations provide a strong rationale for combining epigenetic therapies with autophagy inhibition. However, the field has too often equated autophagosome accumulation with increased autophagic flux and treatment-induced autophagy with a functional dependency. Moreover, the lysosomotropic agents used in early clinical studies incompletely inhibit autophagy and exert broader effects on lysosomal biology. Consequently, compelling preclinical activity has not translated into consistent clinical benefit. Here, we critically evaluate the mechanisms through which epigenetic therapies engage autophagy, distinguish correlative markers from causal evidence of resistance, and assess the preclinical and clinical data supporting combination strategies. We also define the major barriers to translation, including inadequate pharmacodynamic assays, a lack of predictive biomarkers, context-dependent effects on tumor and immune cells, and the limited potency and selectivity of current autophagy inhibitors. Defining when, where, and how autophagy becomes a targetable dependency will be essential to translate this compelling biology into an effective precision treatment.