Oncogenic epidermal growth factor receptor up-regulates multiple elements of the tissue factor signaling pathway in human glioma cells
Bibliographic record
Abstract
Cancer cells frequently overexpress tissue factor (TF) and become procoagulant. This conversion may be driven by genetic transformation, including through the expression of the oncogenic epidermal growth factor receptor (EGFR) and its mutant, EGFRvIII, present in glioblastoma multiforme (GBM). Here we show that the EGFRvIII-dependent GBM cell transformation is associated with the onset of the simultaneous overexpression of TF, protease-activated receptors 1 and 2 (PAR1 and PAR2), and ectopic synthesis of factor VII (FVII). Efficient generation of factor Xa by these cells still requires exogenous FVIIa. However, as a result of EGFRvIII-dependent transformation, GBM cells become hypersensitive to TF/PAR-mediated signaling and produce ample angiogenic factors (vascular endothelial growth factor and interleukin-8) on exposure to FVIIa and PAR1- or PAR2-activating peptides. Thus, oncogenes may cause complex changes in the ability of GBM cancer cells to interact with the coagulation system, thereby exacerbating its influence on angiogenesis and disease progression.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".