The chemokine GRO-α (CXCL1) confers increased tumorigenicity to glioma cells
Bibliographic record
Abstract
The chemokine GRO-alpha (CXCL1) has been found to mediate the proliferation of glia progenitor cells during neural development. As malignant gliomas are thought to arise from glia progenitors or their differentiated counterparts, astrocytes or oligodendrocytes, we have investigated whether GRO-alpha regulates the tumor characteristics of glioma cells. We found first that resected glioma specimens were strongly immunoreactive for GRO-alpha expression in cells with the morphology of tumor cells. In culture, the U251 glioma line transfected to overexpress GRO-alpha had elevated levels of motility and invasiveness. GRO-alpha transfectants increased their expression of several proteins associated with migratory behavior, including matrix metalloproteinase-2, beta1-integrin and SPARC. The implantation of GRO-alpha glioma clones into the brain of nude mice caused the early demise of mice and this was associated with the formation of larger intracerebral tumors when compared with mice implanted with vector control lines. These results implicate GRO-alpha in gliomas and suggest that the dysregulation of a glia proliferative factor contributes to tumorigenesis. Targeting GRO-alpha may be a useful therapeutic tool to control brain tumor biology.
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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 | 0.000 |
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".