DIRAS3-derived cyclic peptides disrupt KRAS-RAF interaction and KRAS nanoclustering, suppressing KRAS-driven pancreatic and ovarian tumors
Bibliographic record
Abstract
Mutations in KRAS drive 88% of pancreatic ductal adenocarcinomas (PDAC) and up to 40% of low-grade serous ovarian cancers (LGSOC), making KRAS a long-standing therapeutic target. We previously showed that DIRAS3 binds RAS, forming heterodimers that disrupt RAS clustering and downstream MAPK signaling. Building on this, we developed conformationally constrained DIRAS3-derived peptides using two cyclization strategies and characterized them by NMR and biolayer interferometry. These cyclic peptides attenuate the interaction between KRAS and the BRAF RAS-binding domain, penetrate cells efficiently, and inhibit KRAS nanoclustering on the inner leaflet of the plasma membrane. Functionally, they reduce cell viability and suppress PDAC and LGSOC growth in cell culture and xenograft models. Our findings demonstrate that DIRAS3-based cyclic peptides represent a distinct strategy to directly inhibit oncogenic KRAS signaling and provide a promising framework for therapeutic development in KRAS-driven cancers.
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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".