EZH2 Inhibition Induces a Metabolic Stress Response Sensitizing TNBC to Glutaminase Targeting
Bibliographic record
Abstract
ABSTRACT EZH2, the catalytic subunit of Polycomb Repressive Complex II, is overexpressed and associated with poor prognosis in triple-negative breast cancer (TNBC). Although EZH2 inhibition induces significant changes in chromatin landscapes and gene expression, it has a limited impact on the growth of TNBC models, suggesting adaptive compensatory mechanisms. Here, we demonstrate that EZH2 inhibition leads to the accumulation of misfolded proteins and double-stranded RNA (dsRNA), triggering an essential integrated stress response (ISR) through PKR and PERK activation. By inducing ISR-mediated ATF4 activation, EZH2 inhibition enhances amino acid flux and promotes glutaminolysis, in turn activating mTOR signaling to support TNBC cell survival. Pharmacological targeting of this metabolic adaptation with a glutaminase (GLS) inhibitor in combination with EZH2 inhibition significantly impairs TNBC cell proliferation and tumor growth. These findings reveal a stress-driven metabolic adaptation that sustains TNBC survival upon EZH2 blockade and highlight inhibition of this pathway as a strategy to enhance the efficacy of EZH2 inhibitors in TNBC.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".