Oncogenic Pathways of Mitogen-activated Protein Kinases and Phosphatidylinositol 3-kinase in Epithelial Ovarian Cancer
Bibliographic record
Abstract
Mitogen-activated protein kinases (MAPKs) are a group of serine/threonine kinases which are activated in response to a diverse array of extracellular stimuli, and mediate signal transduction from the cell surface to the nucleus.The chemotherapeutic agents, growth factors and reproductive hormones have been demonstrated to activate MAPKs, suggesting that the MAPK signaling pathway plays an important role in the regulation of proliferation, apoptosis, survival and differentiation in response to these external stimuli in ovarian cancer.In addition to MAPKs as an oncogenic pathway, phosphatidylinositol 3-kinase (PI3K) plays a role in a various range of important cellular processes associated with malignant characterestics including cell growth, survival and migration, which is a member of lipid kinases subfamily that phosphorylates and dephosphorylates the 3-position of the inositol ring of phosphoinositides in a membrane.In this review, recent results of the MAPK and PI3K signaling cascades by external stimuli, and potential roles of these oncogenic pathways as an oncogenic pathway are summarized in epithelial ovarian cancer.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".