Block of Purinergic P2X<sub>7</sub>R Inhibits Tumor Growth in a C6 Glioma Brain Tumor Animal Model
Bibliographic record
Abstract
We examined the expression and pharmacological modulation of the purinergic receptor P2X7R in a C6 glioma model. Intrastriatal injection of C6 cells induced a time-dependent growth of tumor; at 2 weeks postinjection immunohistochemical analysis demonstrated higher levels of P2X7R in glioma-injected versus control vehicle-injected brains. P2X7R immunoreactivity colocalized with tumor cells and microglia, but not endogenous astrocytes. Intravenous administration of the P2X7R antagonist brilliant blue G (BBG) inhibited tumor growth in a spatially dependent manner from the C6 injection site. Treatment with BBG reduced tumor volume by 52% versus that in controls. Double immunostaining indicated that BBG treatment did not alter microgliosis, astrogliosis, or vasculature vessels in C6-injected animals. In vitro, BBG reduced the expression of P2X7R and glioma chemotaxis induced by the P2X7R ligand, 2',3'-O-(4-benzoyl-benzoyl)adenosine triphosphate (BzATP). Immunohistochemical staining of human glioblastoma tissue samples demonstrated greater expression of P2X7R compared to control nontumor samples. These results suggest that the efficacy of BBG in inhibiting tumor growth is primarily mediated by direct actions of the compound on P2X7R in glioma cells and that pharmacological inhibition of this purinergic receptor might serve as a strategy to slow the progression of brain tumors.
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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 | 0.001 | 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) | 0.000 | 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".