Abstract A022: Translation initiation factor 2B (eIF2B) stimulates mutant KRAS function in cancer
Bibliographic record
Abstract
Abstract KRAS mutations appear with high frequency in colorectal, lung and pancreatic cancers, which are the three leading causes of new cancer deaths worldwide. Mutant KRAS is preferentially bound to GTP resulting in continuous cell proliferation. Mutant KRAS exposes cells to oncogenic forms of stress (i.e. genotoxic, metabolic, proteostatic stress), which disrupt proliferation and tissue homeostasis. To cope with stress, cells engage pro-adaptive mechanisms, which act in favor of mutant KRAS to transform cells. An important adaptation mechanism to stress acts at the level of mRNA translation and involves the functional interplay between the translation initiator factors eIF2 and eIF2B. Phosphorylated eIF2 mediates a translational and transcriptional reprogramming to promote adaptation under stress, a process that is antagonized by the guanine exchange function (GEF) of eIF2B. We demonstrate the physical interaction between mutant KRAS and eIF2B by mass spectrometry. Using genetic approaches, we show that eIF2B is required for the survival and proliferation of tumor cells with KRAS mutations via the stimulation of MAPK signaling. We also show that eIF2B contributes to increased resistance of tumor cells to pharmacological inhibition of mutant KRAS forms. Genetic inactivation of eIF2B promotes the formation of mutant KRAS-GDP complexes whereas its pharmacological stimulation facilitates mutant KRAS-GTP complex formation in tumor cells; this data supports a potential GEF function for eIF2B towards mutant KRAS. Cell imaging experiments provide strong evidence for the implication of eIF2B in the association of mutant KRAS with the plasma membrane of tumor cells. Our findings reveal a stimulatory role of eIF2B in mutant KRAS signaling and provide a previously unidentified link between mutant KRAS and mRNA translation with implications in the growth and treatment of cancers with KRAS mutations. Citation Format: Hyungdong Kim, Nour Ghaddar, Laleh Ebrahimi Ghahnavieh, Shuo Wang, Kwang-Jin Cho, Atsuo Sasaki, Antonis E. Koromilas. Translation initiation factor 2B (eIF2B) stimulates mutant KRAS function in cancer [abstract]. In: Proceedings of the AACR Special Conference: Targeting RAS; 2023 Mar 5-8; Philadelphia, PA. Philadelphia (PA): AACR; Mol Cancer Res 2023;21(5_Suppl):Abstract nr A022.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".