Lineage plasticity of the integrated stress response is a hallmark of cancer evolution
Bibliographic record
Abstract
The link between the "stress phenotype"-a well-established hallmark of cancer-and its role in tumor progression and intratumor heterogeneity remains poorly defined. The integrated stress response (ISR) is a key adaptive pathway that enables tumor survival under oncogenic stress. While ISR has been implicated in promoting tumor growth, its precise role in driving tumor evolution and heterogeneity has not been elucidated. In this study, using a genetically engineered mouse models, we demonstrate that ISR activation-indicated by elevated levels of phosphorylated eIF2 (p-eIF2) and ATF4-is essential for the emergence of dedifferentiated, therapy-resistant cell states. ISR, through the coordinated actions of ATF4 and MYC, facilitates the development of tumor cell populations characterized by high plasticity, stemness, and an epithelial-mesenchymal transition (EMT)-prone phenotype. This process is driven by ISR-mediated expression of genes that maintain mitochondrial integrity and function, critical for sustaining tumor progression. Importantly, genetic, or pharmacological inhibition of the p-eIF2-ATF4 signaling axis leads to mitochondrial dysfunction and significantly impairs tumor growth in mouse models of lung adenocarcinoma (LUAD). Moreover, ISR-driven dedifferentiation is associated with poor prognosis and therapy resistance in advanced human LUAD, underscoring ISR inhibition as a promising therapeutic strategy to disrupt tumor evolution and counteract disease progression.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".