Bibliographic record
Abstract
New anticancer agents are needed in order to overcome the resistance of cancer cells to standard chemotherapy. At present, many of the molecular events that drive the malignant transformation and progression have been identified and there is optimism that the development of agents that specifically target such events will improve treatment outcomes. Cancer cells present common alterations in components of pathways that are involved in the normal cell cycle regulation and in mechanisms of DNA damage repair. Wee1-like protein kinase is a tyrosine kinase with a key role as an inhibitory regulator of the G2/M checkpoint that precedes entry into mitosis. Abrogation of this checkpoint through Wee1 inhibition may result in increased antitumor activity of agents that cause DNA damage such as radiation therapy or some cytotoxic agents. This has been confirmed in preclinical studies and results of clinical studies evaluating a Wee1 inhibitor are awaited to establish its activity in combination with chemotherapy. Here we review the role of Wee1 tyrosine kinase in the control of the G2/M checkpoint and the effects of G2/M checkpoint abrogation through Wee1 inhibition. We present results of preclinical studies with Wee1 inhibitors and the results of the first clinical trial recently reported, evaluating MK-1775, a small-molecule inhibitor of Wee1.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".