Abstract 5511: Investigating Wee1 and Myt1 combined inhibition as a potential cancer therapeutic strategy
Bibliographic record
Abstract
Abstract Introduction: Cell cycle is under the surveillance of checkpoints to repair any damage before the cell transits between phases. Wee1 and Myt1 kinases prevent premature entry into mitosis by monitoring the G2/M checkpoint by adding an inhibitory phosphorylation on Cdk1. Wee1 is overexpressed in various tumors and MK-1775, a Wee1 small molecule inhibitor, is currently in phase I/II cancer clinical trials. Although MK-1775 was shown to potentiate the effect of other genotoxic therapies, yet clinical resistance has emerged towards it. In examining the mechanism of MK-1775-mediated cytotoxicity, we identified Myt1 as a resistant factor. Emerging evidence suggests that Myt1 is an important cancer therapeutic target. Hence, we are examining a novel Myt1 kinase small molecule inhibitor, RP-6306 in combination with MK-1775 as a potential synthetic lethal cancer therapy. We hypothesize that a combination of MK-1775 and RP-6306, inhibitors against two partially redundant kinases important for adaptation to genotoxic stress, will achieve synthetic lethality while circumventing the issue of resistance development following monotherapies. Model Systems Used: 1) a cervical cancer cell line that is tetracycline inducible for Myt1 expression; 2) cancer cell lines (breast and cervical) that are resistant to MK-1775 through upregulation of Myt1. Methods: We established the IC50 of RP-6306 in a panel of tumorigenic and non-tumorigenic cell lines using standard crystal violet viability assay. Following that, we tested the combination effect of MK-1775 and RP-6306 in model cell lines listed above using zero potency model of synergy. The effect of the combination treatment on the clonogenicity was evaluated using clonogenic assay. Timelapse microscopy on a High Content Imaging system was used to determine the effect of RP-6306 and MK-1775 on mitotic duration and cell fates. Results: We found that MK-1775 and RP-6306 combination treatment shows synergistic cell killing in a panel of cancer cell lines. Wee1 inhibition shows synergistic cell killing with Myt1 inhibition especially in inducible Myt1 overexpressing cells. Wee1 and Myt1 combined inhibition resists the increase in clonogenic potential of the cancer cells transiently overexpressing Myt1. RP-6306 and MK-1775 combination treatment promotes mitotic arrest leading to cell death in Myt1 overexpressing cells. We also found that the mechanism of cell death in the cells treated with the combination treatment is centromere fragmentation leading to mitotic catastrophe. Conclusions: The combined Wee1 and Myt1 inhibition leads to synthetic lethality. Hence, our findings strongly suggest that the combined MK-1775 and RP-6306 treatment has promising potential to mitigate MK-1775 resistance. Our research contributes to the development of novel potential combination therapy while optimizing and improving the efficacy of MK-1775 treatment for potential clinical use. Citation Format: Sargun Sokhi, Joanne D. Hadfield, Jeremy Fung, Gordon K. Chan. Investigating Wee1 and Myt1 combined inhibition as a potential cancer therapeutic strategy. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5511.
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 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) | 0.001 | 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) | 0.003 | 0.001 |
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".