ZDHHC2‐Dependent Palmitoylation Dictates Ferroptosis and Castration Sensitivity in Prostate Cancer via Controlling ACSL4 Degradation and Lipid Peroxidation
Bibliographic record
Abstract
Ferroptosis represents a promising vulnerability to overcome therapeutic resistance in castration-resistant prostate cancer (CRPC). While S-palmitoylation of lipid peroxide-scavenging proteins such as GPX4 and SLC7A11 has been shown to suppress ferroptosis, whether palmitoylation modulates the lipid peroxidation generation remains unclear. Here, we identified the palmitoyltransferase ZDHHC2 as a critical driver of enzalutamide resistance through destabilizing ACSL4. ZDHHC2 is transcriptionally upregulated by a FOXA1/CXXC5/TET2 complex and promotes S-palmitoylation of the deubiquitinase USP19, which impairs its interaction with ACSL4. This disrupts USP19-mediated ACSL4 stabilization, promoting its ubiquitin-proteasome degradation and consequently suppressing lipid peroxidation and ferroptosis. We synthesized a small-molecule ZDHHC2 inhibitor, TTZ1, which restores ACSL4 protein, reactivates ferroptosis, and reverses enzalutamide resistance in CRPC cell lines and patient-derived xenograft models. This study uncovers a previously unrecognized mechanism by which palmitoylation regulates ferroptosis through modulating ACSL4 stability, and highlights the ZDHHC2-USP19-ACSL4 axis as a druggable target for overcoming resistance in advanced prostate cancer.
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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) | 0.001 | 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".