Targeting DDX3X suppresses progression of KRAS-driven lung cancer by disrupting antioxidative homeostasis and inducing ferroptosis
Bibliographic record
Abstract
Abstract Approximately 30% of human cancers carry various RAS mutations, including KRAS , NRAS , and HRAS . Among these mutations, KRAS is the most prevalent isoform detected in lung cancer. While several small molecular inhibitors targeting specifically KRAS G12C have been developed and tested clinically, alternative approaches are still necessary due to expected drug resistance. In this study, we present evidence that the loss of DDX3X significantly delays tumor progression in various KRAS -driven lung cancer models. Inhibition of DDX3X disrupts cysteine and glutathione metabolism, thereby inducing ferroptosis in lung cancer cells. This effect is primarily mediated by the downregulation of Cystathionine-β-synthase (CBS), the rate-limiting enzyme in cysteine generation. Mechanistically, DDX3X directly binds to the transcription factor JUND , which mediates the transcriptional regulation of METTL16, a key N 6 -methyladenosine methyltransferase, and subsequently regulates m 6 A modification and translation of CBS transcripts. This cascade induces hypermethylation and high expression of CBS, consequently triggering cysteine production and maintaining antioxidative homeostasis, which is essential for the survival of KRAS -driven lung cancer cells. Finally, we demonstrate that a newly developed DDX3X PROTAC degrader J10 efficiently delays lung cancer progression with multiple advantages compared to DDX3X small molecular inhibitor RK-33 and limited side effects. These findings unveil the potential of DDX3X as a valuable target for adjuvant therapies in managing KRAS -driven lung cancer.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".