A Novel Squaramide Derivative, HR-19011, Induces the Integrated Stress Response via the HRI–eIF2α–ATF4 Pathway, Effectively Inhibiting Hematologic Malignancies
Bibliographic record
Abstract
We investigated the therapeutic potential and mechanisms of HR-19011, a novel eukaryotic translation initiation factor 2 subunit α (eIF2α) phosphorylation inducer, with a focus on its effects on the integrated stress response (ISR) pathway and cell-cycle regulation in K562 cells. Our findings revealed that HR-19011 exerts its anticancer effects primarily through the activation of heme-regulated inhibitor (HRI), leading to the phosphorylation of eIF2α, the induction of ISR signaling, and subsequent G1/S cell-cycle arrest. RNA sequencing analysis further highlighted significant changes in gene expression associated with the ISR pathway, particularly those involving the key components, activating transcription factor 4 and CHOP, underscoring the specific targeting of HRI by HR-19011. Additionally, HR-19011 suppressed the mTORC1 pathway, a critical regulator of cell growth and metabolism, through the downregulation of components such as phosphorylated S6K and phosphorylated 4EBP1, mediated by activating transcription factor 4 and CHOP. In vivo studies demonstrated that HR-19011 effectively inhibited tumor growth in a K562 xenograft model, without significant toxicity, and its broad efficacy across various hematologic malignancies further suggests its potential as a versatile anticancer agent. Our findings position HR-19011 as a promising candidate for targeting the HRI-eIF2α axis in cancer treatment, warranting further investigation and optimization for clinical application.
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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 | 0.000 |
| 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".